2025-09-07T07:27:04.9877154Z Current runner version: '2.328.0' 2025-09-07T07:27:04.9884504Z Runner name: 'i-00a51a90fcc907e9f' 2025-09-07T07:27:04.9885667Z Runner group name: 'default' 2025-09-07T07:27:04.9886651Z Machine name: 'ip-10-0-15-55' 2025-09-07T07:27:04.9890301Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:27:04.9892852Z Contents: read 2025-09-07T07:27:04.9893523Z Metadata: read 2025-09-07T07:27:04.9894170Z ##[endgroup] 2025-09-07T07:27:04.9896974Z Secret source: Actions 2025-09-07T07:27:04.9898105Z Prepare workflow directory 2025-09-07T07:27:05.0439910Z Prepare all required actions 2025-09-07T07:27:05.0481073Z Getting action download info 2025-09-07T07:27:05.3581702Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:27:07.0761121Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:19.5284570Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:27:19.7735842Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:27:20.0603822Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:27:20.2143045Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:27:20.4433134Z Getting action download info 2025-09-07T07:27:20.5486342Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:27:20.7746760Z Getting action download info 2025-09-07T07:27:20.8760483Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:27:21.0653864Z Getting action download info 2025-09-07T07:27:21.2232670Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:27:21.4105283Z Getting action download info 2025-09-07T07:27:21.5392927Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:21.5397510Z ##[group] Inputs 2025-09-07T07:27:21.5397855Z build-environment: linux-jammy-aarch64-py3.10 2025-09-07T07:27:21.5410605Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]} 2025-09-07T07:27:21.5423836Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:27:21.5424669Z sync-tag: 2025-09-07T07:27:21.5425527Z timeout-minutes: 720 2025-09-07T07:27:21.5425754Z use-gha: 2025-09-07T07:27:21.5426270Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:27:21.5426845Z s3-bucket: gha-artifacts 2025-09-07T07:27:21.5427081Z aws-role-to-assume: 2025-09-07T07:27:21.5427642Z disable-monitor: false 2025-09-07T07:27:21.5427914Z monitor-log-interval: 15 2025-09-07T07:27:21.5428182Z monitor-data-collect-interval: 4 2025-09-07T07:27:21.5428450Z ##[endgroup] 2025-09-07T07:27:21.5428947Z Complete job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:27:21.6539163Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:27:21.6650465Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:27:21.6660760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:21.6661380Z ##[endgroup] 2025-09-07T07:27:22.8163946Z Runner Type: linux.arm64.m7g.metal 2025-09-07T07:27:22.8164415Z Instance Type: m7g.metal 2025-09-07T07:27:22.8164637Z AMI Name: unknown 2025-09-07T07:27:22.8189655Z AMI ID: ami-022bbd2ccaf21691f 2025-09-07T07:27:27.7753617Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:27:27.7754045Z with: 2025-09-07T07:27:27.7754584Z github-secret: *** 2025-09-07T07:27:27.7755224Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:27:27.7755893Z activate-with-label: false 2025-09-07T07:27:27.7756126Z label: with-ssh 2025-09-07T07:27:27.7756339Z remove-existing-keys: true 2025-09-07T07:27:27.7756577Z fail-silently: true 2025-09-07T07:27:27.7756792Z env: 2025-09-07T07:27:27.7756965Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:27.7757209Z ##[endgroup] 2025-09-07T07:27:27.8804317Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:27:27.8805787Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:27:27.8973621Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:27:27.8974037Z with: 2025-09-07T07:27:27.8974211Z no-sudo: true 2025-09-07T07:27:27.8974410Z submodules: recursive 2025-09-07T07:27:27.8974640Z fetch-depth: 0 2025-09-07T07:27:27.8974821Z env: 2025-09-07T07:27:27.8974995Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:27.8975211Z ##[endgroup] 2025-09-07T07:27:27.9064778Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:27.9065641Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:27.9076064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:27.9076402Z env: 2025-09-07T07:27:27.9076626Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:27.9076889Z ##[endgroup] 2025-09-07T07:27:27.9156482Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:27:27.9156869Z # Use all available CPUs for fetching 2025-09-07T07:27:27.9157172Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:27:27.9157466Z git config --global fetch.parallel 0 2025-09-07T07:27:27.9157802Z git config --global submodule.fetchJobs 0 2025-09-07T07:27:27.9158090Z  2025-09-07T07:27:27.9158477Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:27:27.9158912Z # do it here as well just in case 2025-09-07T07:27:27.9159185Z if [[ -d .git ]]; then 2025-09-07T07:27:27.9159436Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:27:27.9159713Z  sudo git clean -ffdx 2025-09-07T07:27:27.9159948Z  else 2025-09-07T07:27:27.9160144Z  git clean -ffdx 2025-09-07T07:27:27.9160362Z  fi 2025-09-07T07:27:27.9160536Z fi 2025-09-07T07:27:27.9166997Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:27.9167330Z env: 2025-09-07T07:27:27.9167511Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:27.9167723Z NO_SUDO: true 2025-09-07T07:27:27.9167900Z ##[endgroup] 2025-09-07T07:27:27.9325176Z ##[group]Run actions/checkout@v4 2025-09-07T07:27:27.9325433Z with: 2025-09-07T07:27:27.9325640Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:27:27.9325918Z fetch-depth: 0 2025-09-07T07:27:27.9326119Z submodules: recursive 2025-09-07T07:27:27.9326336Z show-progress: false 2025-09-07T07:27:27.9326560Z repository: pytorch/pytorch 2025-09-07T07:27:27.9326908Z token: *** 2025-09-07T07:27:27.9327089Z ssh-strict: true 2025-09-07T07:27:27.9327278Z ssh-user: git 2025-09-07T07:27:27.9327750Z persist-credentials: true 2025-09-07T07:27:27.9327978Z clean: true 2025-09-07T07:27:27.9328180Z sparse-checkout-cone-mode: true 2025-09-07T07:27:27.9328431Z fetch-tags: false 2025-09-07T07:27:27.9328621Z lfs: false 2025-09-07T07:27:27.9328813Z set-safe-directory: true 2025-09-07T07:27:27.9329030Z env: 2025-09-07T07:27:27.9329206Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:27.9329421Z ##[endgroup] 2025-09-07T07:27:28.0371246Z Syncing repository: pytorch/pytorch 2025-09-07T07:27:28.0372607Z ##[group]Getting Git version info 2025-09-07T07:27:28.0373046Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:28.0373623Z [command]/usr/bin/git version 2025-09-07T07:27:28.0497540Z git version 2.47.1 2025-09-07T07:27:28.0533486Z ##[endgroup] 2025-09-07T07:27:28.0542623Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a968a50b-46aa-4850-af2c-1dd76ea947b9/.gitconfig' 2025-09-07T07:27:28.0560965Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a968a50b-46aa-4850-af2c-1dd76ea947b9' before making global git config changes 2025-09-07T07:27:28.0561849Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:27:28.0566442Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:28.0604885Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:28.0607759Z ##[group]Initializing the repository 2025-09-07T07:27:28.0612209Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:28.0660900Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:27:28.0661446Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:27:28.0661951Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:27:28.0662309Z hint: 2025-09-07T07:27:28.0662597Z hint: git config --global init.defaultBranch 2025-09-07T07:27:28.0662901Z hint: 2025-09-07T07:27:28.0663192Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:27:28.0663868Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:27:28.0664258Z hint: 2025-09-07T07:27:28.0664446Z hint: git branch -m 2025-09-07T07:27:28.0673528Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:27:28.0684864Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:27:28.0718651Z ##[endgroup] 2025-09-07T07:27:28.0719045Z ##[group]Disabling automatic garbage collection 2025-09-07T07:27:28.0723877Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:27:28.0748879Z ##[endgroup] 2025-09-07T07:27:28.0749219Z ##[group]Setting up auth 2025-09-07T07:27:28.0756159Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:27:28.0782722Z [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' || :" 2025-09-07T07:27:28.1090859Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:27:28.1115392Z [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' || :" 2025-09-07T07:27:28.1416579Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:27:28.1457980Z ##[endgroup] 2025-09-07T07:27:28.1458362Z ##[group]Fetching the repository 2025-09-07T07:27:28.1465658Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:28:09.4903805Z From https://github.com/pytorch/pytorch 2025-09-07T07:28:09.4904226Z * [new branch] 160583 -> origin/160583 2025-09-07T07:28:09.4904743Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:28:09.4905218Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:28:09.4905770Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:28:09.4906381Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:28:09.4906891Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:28:09.4909112Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:28:09.4910176Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:28:09.4910987Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:28:09.4912063Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:28:09.4913517Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:28:09.4914081Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:28:09.4914745Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:28:09.4915764Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:28:09.4916571Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:28:09.4918318Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:28:09.4918944Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:28:09.4919648Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:28:09.4920677Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:28:09.4921534Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:28:09.4922448Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:28:09.4923380Z * [new branch] addsimde -> 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2025-09-07T07:28:09.9713227Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:28:09.9714302Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:28:09.9714892Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:28:09.9715621Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:28:09.9716161Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:28:09.9716712Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:28:09.9717230Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:28:09.9717772Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:28:09.9718254Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:28:09.9718943Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:28:09.9719547Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:28:09.9720062Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:28:09.9720543Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:28:09.9721270Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:28:09.9721776Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:28:09.9722335Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:28:09.9722976Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:28:09.9723489Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:28:09.9723969Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:28:09.9724481Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:28:09.9725098Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:28:09.9725575Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:28:09.9726333Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:28:09.9726993Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:28:09.9727498Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:28:09.9728031Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:28:09.9728593Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:28:09.9729063Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:28:09.9729550Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:28:09.9730073Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:28:09.9730614Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:28:09.9731125Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:28:09.9731608Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:28:09.9732156Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:28:09.9732918Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:28:09.9733575Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:28:09.9734621Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:28:09.9735263Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:28:09.9735861Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:28:09.9736394Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:28:09.9737356Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:28:09.9738181Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:28:09.9738821Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:28:09.9739341Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:28:09.9739931Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:28:09.9740670Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:28:09.9741412Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:28:09.9741943Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:28:09.9742587Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:28:09.9743229Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:28:09.9743909Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:28:09.9744643Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:28:09.9745171Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:28:09.9745708Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:28:09.9746186Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:28:09.9746749Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:28:09.9747258Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:28:09.9747763Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:28:09.9748277Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:28:09.9748776Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:28:09.9749274Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:28:09.9749918Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:28:09.9750597Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:28:09.9751327Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:28:09.9751966Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:28:09.9752653Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:28:09.9753295Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:28:09.9753857Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:28:09.9754395Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:28:09.9755038Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:28:09.9755659Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:28:09.9756392Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:28:09.9757166Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:28:09.9757757Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:28:09.9758422Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:28:09.9758998Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:28:09.9759654Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:28:09.9760207Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:28:09.9760900Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:28:09.9761582Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:28:09.9762166Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:28:09.9762831Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:28:09.9763744Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:28:09.9764438Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:28:09.9765162Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:28:09.9765761Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:28:09.9766405Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:28:09.9767077Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:28:09.9767682Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:28:09.9768376Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:28:09.9769535Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:28:09.9770091Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:28:09.9770646Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:28:09.9771197Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:28:09.9771773Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:28:09.9772294Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:28:09.9772876Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:28:09.9773423Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:28:09.9774156Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:28:09.9774657Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:28:09.9775318Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:28:09.9775839Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:28:09.9776751Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:28:09.9777294Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:28:09.9777811Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:28:09.9778407Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:28:09.9778926Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:28:09.9779681Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:28:09.9780187Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:28:09.9780905Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:28:09.9781535Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:28:09.9782097Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:28:09.9782690Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:28:09.9783250Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:28:09.9783937Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:28:09.9784491Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:28:09.9785043Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:28:09.9785602Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:28:09.9786348Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:28:09.9786887Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:28:09.9787682Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:28:09.9788209Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:28:09.9788800Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:28:09.9789372Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:28:09.9790037Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:28:09.9790575Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:28:09.9791109Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:28:09.9791635Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:28:09.9792211Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:28:09.9793208Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:28:09.9793748Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:28:09.9794281Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:28:09.9794871Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:28:09.9795413Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:28:09.9796111Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:28:09.9796572Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:28:09.9797307Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:28:09.9797906Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:28:09.9798421Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:28:09.9798971Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:28:09.9799627Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:28:09.9800181Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:28:09.9800720Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:28:09.9801281Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:28:09.9801856Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:28:09.9802378Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:28:09.9802948Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:28:09.9803493Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:28:09.9804047Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:28:09.9804768Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:28:09.9805758Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:28:09.9806518Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:28:09.9807159Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:28:09.9807707Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:28:09.9808335Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:28:09.9808882Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:28:09.9809427Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:28:09.9809964Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:28:09.9810551Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:28:09.9811115Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:28:09.9811666Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:28:09.9812219Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:28:09.9812725Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:28:09.9813374Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:28:09.9813899Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:28:09.9814494Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:28:09.9815057Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:28:09.9815618Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:28:09.9816210Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:28:09.9816734Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:28:09.9817288Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:28:09.9817908Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:28:09.9818383Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:28:09.9818957Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:28:09.9819451Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:28:09.9820205Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:28:09.9820790Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:28:09.9821335Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:28:09.9821866Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:28:09.9822407Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:28:09.9822964Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:28:09.9823666Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:28:09.9824260Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:28:09.9824801Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:28:09.9825351Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:28:09.9825894Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:28:09.9826439Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:28:09.9826981Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:28:09.9827525Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:28:09.9828049Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:28:09.9828595Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:28:09.9829188Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:28:09.9829760Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:28:09.9830308Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:28:09.9830832Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:28:09.9831406Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:28:09.9831924Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:28:09.9832459Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:28:09.9833089Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:28:09.9833601Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:28:09.9834341Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:28:09.9834934Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:28:09.9835455Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:28:09.9836246Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:28:09.9836829Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:28:09.9837374Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:28:09.9838061Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:28:09.9838683Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:28:09.9839153Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:28:09.9839866Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:28:09.9840429Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:28:09.9840953Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:28:09.9841543Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:28:09.9842100Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:28:09.9842652Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:28:09.9843190Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:28:09.9843708Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:28:09.9844245Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:28:09.9844848Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:28:09.9845359Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:28:09.9845940Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:28:09.9846452Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:28:09.9847037Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:28:09.9847601Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:28:09.9848227Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:28:09.9848752Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:28:09.9849266Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:28:09.9849836Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:28:09.9850366Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:28:09.9850909Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:28:09.9851546Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:28:09.9852137Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:28:09.9852654Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:28:09.9853234Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:28:09.9853746Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:28:09.9854338Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:28:09.9854839Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:28:09.9855687Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:28:09.9856394Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:28:09.9857027Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:28:09.9857774Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:28:09.9858278Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:28:09.9858828Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:28:09.9859432Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:28:09.9860071Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:28:09.9860485Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:28:09.9860956Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:28:09.9861461Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:28:09.9861961Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:28:09.9862626Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:28:09.9863141Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:28:09.9867136Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:28:09.9868122Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:28:09.9868614Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:28:09.9869466Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:28:09.9870003Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:28:09.9870571Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:28:09.9871054Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:28:09.9871597Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:28:09.9872572Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:28:09.9873251Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:28:09.9873879Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:28:09.9874596Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:28:09.9875360Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:28:09.9876265Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:28:09.9877195Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:28:09.9878019Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:28:09.9878854Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:28:09.9879651Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:28:09.9880494Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:28:09.9881125Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:28:09.9881810Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:28:09.9882338Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:28:09.9882811Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:28:09.9883311Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:28:09.9883841Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:28:09.9884335Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:28:09.9884848Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:28:09.9885487Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:28:09.9886053Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:28:09.9886711Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:28:09.9887378Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:28:09.9888144Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:28:09.9888703Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:28:09.9889373Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:28:09.9889885Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:28:09.9890600Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:28:09.9891088Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:28:09.9891623Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:28:09.9892135Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:28:09.9892827Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:28:09.9893330Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:28:09.9893977Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:28:09.9894492Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:28:09.9895032Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:28:09.9895790Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:28:09.9896499Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:28:09.9897143Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:28:09.9897696Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:28:09.9898224Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:28:09.9899078Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:28:09.9899685Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:28:09.9900730Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:28:09.9901127Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:28:09.9901673Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:28:09.9902338Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:28:09.9903040Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:28:09.9903692Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:28:09.9904556Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:28:09.9905342Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:28:09.9906030Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:28:09.9906700Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:28:09.9907355Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:28:09.9908433Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:28:09.9908834Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:28:09.9909609Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:28:09.9910330Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:28:09.9910932Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:28:09.9911684Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:28:09.9912714Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:28:09.9913217Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:28:09.9913798Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:28:09.9914305Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:28:09.9914819Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:28:09.9915328Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:28:09.9915881Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:28:09.9916569Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:28:09.9917104Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:28:09.9917594Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:28:09.9918140Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:28:09.9918640Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:28:09.9919166Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:28:09.9919925Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:28:09.9920630Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:28:09.9921285Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:28:09.9921863Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:28:09.9922421Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:28:09.9922958Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:28:09.9923485Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:28:09.9924125Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:28:09.9924684Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:28:09.9925196Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:28:09.9925803Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:28:09.9926560Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:28:09.9927107Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:28:09.9927823Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:28:09.9928364Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:28:09.9929507Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:28:09.9930099Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:28:09.9930616Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:28:09.9931173Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:28:09.9931722Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:28:09.9932269Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:28:09.9932961Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:28:09.9933358Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:28:09.9934100Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:28:09.9934613Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:28:09.9935340Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:28:09.9936021Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:28:09.9936607Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:28:09.9937139Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:28:09.9937703Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:28:09.9938274Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:28:09.9938796Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:28:09.9939336Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:28:09.9939929Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:28:09.9940461Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:28:09.9941002Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:28:09.9941513Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:28:09.9942372Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:28:09.9942935Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:28:09.9943468Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:28:09.9944017Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:28:09.9944558Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:28:09.9945095Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:28:09.9945661Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:28:09.9946179Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:28:09.9946836Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:28:09.9947415Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:28:09.9947922Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:28:09.9948500Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:28:09.9949054Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:28:09.9949597Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:28:09.9950164Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:28:09.9950706Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:28:09.9951240Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:28:09.9951757Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:28:09.9952493Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:28:09.9953059Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:28:09.9953620Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:28:09.9954257Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:28:09.9954731Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:28:09.9955252Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:28:09.9955838Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:28:09.9956384Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:28:09.9956902Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:28:09.9957566Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:28:09.9958145Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:28:09.9958743Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:28:09.9959318Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:28:09.9959867Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:28:09.9960384Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:28:09.9960982Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:28:09.9961670Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:28:09.9962230Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:28:09.9962781Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:28:09.9963384Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:28:09.9963984Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:28:09.9964545Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:28:09.9965166Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:28:09.9965687Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:28:09.9966421Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:28:09.9966971Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:28:09.9967529Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:28:09.9968115Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:28:09.9968660Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:28:09.9969214Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:28:09.9969737Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:28:09.9970318Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:28:09.9970913Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:28:09.9971453Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:28:09.9972044Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:28:09.9972824Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:28:09.9973504Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:28:09.9974088Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:28:09.9974630Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:28:09.9975190Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:28:09.9975714Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:28:09.9976398Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:28:09.9976851Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:28:09.9977359Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:28:09.9977946Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:28:09.9978647Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:28:09.9979213Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:28:09.9980313Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:28:09.9980998Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:28:09.9981707Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:28:09.9982194Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:28:09.9982898Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:28:09.9983416Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:28:09.9984026Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:28:09.9990699Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:28:09.9990961Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:28:09.9991109Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:28:09.9991252Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:28:09.9991404Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:28:09.9991542Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:28:09.9991688Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:28:09.9991827Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:28:09.9991969Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:28:09.9992108Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:28:09.9992251Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:28:09.9992395Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:28:09.9992533Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:28:09.9992837Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:28:09.9993283Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:28:09.9993870Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:28:09.9994551Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:28:09.9995377Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:28:09.9996258Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:28:09.9996988Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:28:09.9997652Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:28:09.9998493Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:28:09.9999177Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:28:09.9999821Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:28:10.0000501Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:28:10.0001133Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:28:10.0001955Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:28:10.0002558Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:28:10.0003146Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:28:10.0004133Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:28:10.0004769Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:28:10.0005415Z * [new tag] flight_5 -> flight_5 2025-09-07T07:28:10.0006118Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:28:10.0006783Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:28:10.0007371Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:28:10.0008043Z * [new tag] forpull1 -> forpull1 2025-09-07T07:28:10.0008906Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:28:10.0009516Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:28:10.0010213Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:28:10.0010927Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:28:10.0011472Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:28:10.0012226Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:28:10.0013231Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:28:10.0013979Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:28:10.0014892Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:28:10.0015755Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:28:10.0016484Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:28:10.0017249Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:28:10.0017992Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:28:10.0018726Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:28:10.0019515Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:28:10.0020250Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:28:10.0020893Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:28:10.0021555Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:28:10.0022237Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:28:10.0023484Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:28:10.0024326Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:28:10.0025052Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:28:10.0026039Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:28:10.0026632Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:28:10.0027309Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:28:10.0028009Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:28:10.0028779Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:28:10.0029457Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:28:10.0030195Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:28:10.0030835Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:28:10.0031474Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:28:10.0032207Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:28:10.0032946Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:28:10.0033644Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:28:10.0034782Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:28:10.0035503Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:28:10.0036208Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:28:10.0036770Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:28:10.0037503Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:28:10.0038157Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:28:10.0038838Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:28:10.0039481Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:28:10.0040213Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:28:10.0040886Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:28:10.0041579Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:28:10.0042245Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:28:10.0042902Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:28:10.0043682Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:28:10.0044416Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:28:10.0044977Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:28:10.0045677Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:28:10.0046498Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:28:10.0047167Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:28:10.0047857Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:28:10.0048779Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:28:10.0050331Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:28:10.0050653Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:28:10.0051202Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:28:10.0051735Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:28:10.0052334Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:28:10.0052981Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:28:10.0053662Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:28:10.0054341Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:28:10.0054950Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:28:10.0055654Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:28:10.0056281Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:28:10.0056895Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:28:10.0057457Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:28:10.0058170Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:28:10.0058823Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:28:10.0059529Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:28:10.0060280Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:28:10.0060971Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:28:10.0061660Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:28:10.0062386Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:28:10.0063012Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:28:10.0063839Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:28:10.0064579Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:28:10.0065261Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:28:10.0065958Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:28:10.0066665Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:28:10.0067268Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:28:10.0067967Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:28:10.0068698Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:28:10.0069448Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:28:10.0070301Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:28:10.0071040Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:28:10.0071781Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:28:10.0072445Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:28:10.0073214Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:28:10.0073927Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:28:10.0074552Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:28:10.0075362Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:28:10.0076053Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:28:10.0076731Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:28:10.0077503Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:28:10.0078193Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:28:10.0078923Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:28:10.0079559Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:28:10.0080256Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:28:10.0081001Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:28:10.0081796Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:28:10.0082358Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:28:10.0083099Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:28:10.0083792Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:28:10.0084459Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:28:10.0085164Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:28:10.0085829Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:28:10.0087054Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:28:10.0087639Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:28:10.0088318Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:28:10.0089088Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:28:10.0089806Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:28:10.0090423Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:28:10.0091112Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:28:10.0091827Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:28:10.0092560Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:28:10.0093245Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:28:10.0094036Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:28:10.0094739Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:28:10.0095487Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:28:10.0096195Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:28:10.0096997Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:28:10.0097536Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:28:10.0098140Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:28:10.0098847Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:28:10.0099620Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:28:10.0100449Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:28:10.0101185Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:28:10.0101902Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:28:10.0102637Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:28:10.0103379Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:28:10.0104116Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:28:10.0104862Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:28:10.0105618Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:28:10.0106353Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:28:10.0107089Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:28:10.0107839Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:28:10.0108589Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:28:10.0109344Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:28:10.0110082Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:28:10.0110848Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:28:10.0111589Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:28:10.0112330Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:28:10.0113068Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:28:10.0113817Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:28:10.0114978Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:28:10.0115776Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:28:10.0117015Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:28:10.0117767Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:28:10.0118702Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:28:10.0119440Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:28:10.0120181Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:10.0120932Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:28:10.0121822Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:28:10.0122578Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:28:10.0123310Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:28:10.0124042Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:28:10.0124784Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:28:10.0125530Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:28:10.0126286Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:28:10.0127034Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:28:10.0127773Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:28:10.0128519Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:28:10.0129256Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:28:10.0129988Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:28:10.0130741Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:28:10.0131500Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:28:10.0132239Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:28:10.0132970Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:28:10.0133709Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:28:10.0134459Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:28:10.0135330Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:28:10.0136062Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:28:10.0136796Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:28:10.0137533Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:28:10.0138267Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:28:10.0139003Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:28:10.0139733Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:28:10.0140492Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:28:10.0141334Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:28:10.0142088Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:28:10.0142841Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:28:10.0143592Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:28:10.0144345Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:28:10.0145103Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:28:10.0145872Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:28:10.0146646Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:28:10.0147407Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:28:10.0148143Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:28:10.0148884Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:28:10.0149642Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:28:10.0150383Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:28:10.0151135Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:28:10.0151893Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:28:10.0152641Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:28:10.0153399Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:28:10.0154139Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:28:10.0154874Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:28:10.0155751Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:28:10.0156515Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:28:10.0157264Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:28:10.0158002Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:28:10.0158742Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:28:10.0159496Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:28:10.0160241Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:28:10.0160987Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:28:10.0161835Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:28:10.0162590Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:28:10.0163403Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:28:10.0164163Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:28:10.0164927Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:28:10.0165698Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:28:10.0166456Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:28:10.0167201Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:28:10.0167953Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:28:10.0168696Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:28:10.0169423Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:28:10.0170143Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:28:10.0170886Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:28:10.0171645Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:28:10.0172389Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:28:10.0173127Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:28:10.0173868Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:28:10.0174625Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:28:10.0175559Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:28:10.0176312Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:28:10.0177057Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:28:10.0177800Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:28:10.0178534Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:28:10.0179270Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:28:10.0180001Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:28:10.0180747Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:28:10.0181618Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:28:10.0182375Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:28:10.0183121Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:28:10.0183859Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:28:10.0184594Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:28:10.0185330Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:28:10.0186062Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:28:10.0186788Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:28:10.0187603Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:28:10.0188352Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:28:10.0189099Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:28:10.0189849Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:28:10.0190623Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:28:10.0191398Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:28:10.0192152Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:28:10.0192892Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:28:10.0193629Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:28:10.0194389Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:28:10.0195138Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:28:10.0195995Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:28:10.0196747Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:28:10.0197490Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:28:10.0198231Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:28:10.0198979Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:28:10.0199728Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:28:10.0200473Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:28:10.0201280Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:28:10.0202024Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:28:10.0202791Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:28:10.0203549Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:28:10.0204304Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:28:10.0205061Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:28:10.0205817Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:28:10.0206559Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:28:10.0207292Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:28:10.0208021Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:28:10.0208764Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:28:10.0209520Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:28:10.0210274Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:28:10.0211009Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:28:10.0211755Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:28:10.0212488Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:28:10.0213241Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:28:10.0214001Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:28:10.0214746Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:28:10.0215594Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:28:10.0216134Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:28:10.0216472Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:28:10.0216957Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:28:10.0217666Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:28:10.0218260Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:28:10.0218874Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:28:10.0219530Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:28:10.0220183Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:28:10.0220836Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:28:10.0221488Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:28:10.0222046Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:28:10.0222718Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:28:10.0223313Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:28:10.0224009Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:28:10.0224775Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:28:10.0225403Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:28:10.0226066Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:28:10.0226762Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:28:10.0227445Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:28:10.0228082Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:28:10.0228801Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:28:10.0229298Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:28:10.0229968Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:28:10.0230649Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:28:10.0231530Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:28:10.0232298Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:28:10.0233047Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:28:10.0233559Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:28:10.0234254Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:28:10.0234752Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:28:10.0235232Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:28:10.0235811Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:28:10.0236562Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:28:10.0237363Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:28:10.0238135Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:28:10.0238845Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:28:10.0239574Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:28:10.0240315Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:28:10.0240860Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:28:10.0241364Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:28:10.0242072Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:28:10.0242822Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:28:10.0243476Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:28:10.0244222Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:28:10.0244932Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:28:10.0245746Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:28:10.0246974Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:28:10.0247577Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:28:10.0248048Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:28:10.0248629Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:28:10.0249503Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:28:10.0250232Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:28:10.0250978Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:28:10.0251885Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:28:10.0252341Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:28:10.0252997Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:28:10.0253723Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:28:10.0254375Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:28:10.0255089Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:28:10.0255885Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:28:10.0256354Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:28:10.0256899Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:28:10.0257643Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:28:10.0258225Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:28:10.0258907Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:28:10.0259555Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:28:10.0260243Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:28:10.0260992Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:28:10.0261523Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:28:10.0262236Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:28:10.0262915Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:28:10.0263485Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:28:10.0264414Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:28:10.0265114Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:28:10.0265859Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:28:10.0266611Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:28:10.0267253Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:28:10.0267729Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:28:10.0268500Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:28:10.0269024Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:28:10.0269554Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:28:10.0270322Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:28:10.0271013Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:28:10.0271779Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:28:10.0272485Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:28:10.0273176Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:28:10.0273844Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:28:10.0274363Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:28:10.0275037Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:28:10.0275801Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:28:10.0276608Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:28:10.0277305Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:28:10.0277852Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:28:10.0278564Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:28:10.0279573Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:28:10.0280240Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:28:10.0280791Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:28:10.0281509Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:28:10.0282147Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:28:10.0282843Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:28:10.0283567Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:28:10.0284256Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:28:10.0284774Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:28:10.0285290Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:28:10.0286032Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:28:10.0286531Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:28:10.0287065Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:28:10.0288257Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:28:10.0288777Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:28:10.0289536Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:28:10.0290442Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:28:10.0291252Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:28:10.0292001Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:28:10.0292565Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:28:10.0293302Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:28:10.0294187Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:28:10.0294723Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:28:10.0295436Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:28:10.0296216Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:28:10.0296942Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:28:10.0297692Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:28:10.0298382Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:28:10.0299148Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:28:10.0299676Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:28:10.0300477Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:28:10.0301203Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:28:10.0301729Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:28:10.0302469Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:28:10.0302974Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:28:10.0304205Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:28:10.0304909Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:28:10.0305615Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:28:10.0306383Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:28:10.0307171Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:28:10.0307918Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:28:10.0308554Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:28:10.0309167Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:28:10.0309920Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:28:10.0310624Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:28:10.0311482Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:28:10.0312191Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:28:10.0312862Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:28:10.0313416Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:28:10.0314083Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:28:10.0314878Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:28:10.0315666Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:28:10.0316167Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:28:10.0316927Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:28:10.0317779Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:28:10.0318412Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:28:10.0319117Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:28:10.0319740Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:28:10.0320482Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:28:10.0321168Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:28:10.0321694Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:28:10.0322192Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:28:10.0323022Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:28:10.0323744Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:28:10.0324268Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:28:10.0324859Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:28:10.0325415Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:28:10.0326191Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:28:10.0326755Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:28:10.0327237Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:28:10.0327973Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:28:10.0328658Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:28:10.0329362Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:28:10.0330143Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:28:10.0330706Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:28:10.0331379Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:28:10.0332113Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:28:10.0332820Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:28:10.0333524Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:28:10.0334051Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:28:10.0335007Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:28:10.0335755Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:28:10.0336285Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:28:10.0336941Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:28:10.0337499Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:28:10.0338177Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:28:10.0338916Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:28:10.0339671Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:28:10.0340372Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:28:10.0341052Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:28:10.0341777Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 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2025-09-07T07:28:10.0366819Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:28:10.0367581Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:28:10.0368383Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:28:10.0369446Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:28:10.0370031Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:28:10.0370587Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:28:10.0371406Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:28:10.0372142Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:28:10.0372934Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:28:10.0373698Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:28:10.0374382Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:28:10.0375107Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:28:10.0375886Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:28:10.0376715Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:28:10.0377223Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:28:10.0378105Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:28:10.0378837Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:28:10.0379652Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:28:10.0380494Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:28:10.0381192Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:28:10.0381782Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:28:10.0382528Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:28:10.0383255Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:28:10.0384341Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:28:10.0385136Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:28:10.0385931Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:28:10.0386732Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:28:10.0387424Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:28:10.0388177Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:28:10.0388893Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:28:10.0389640Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:28:10.0390318Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:28:10.0960095Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:28:10.0985084Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:10.0989194Z ##[endgroup] 2025-09-07T07:28:10.0989563Z ##[group]Determining the checkout info 2025-09-07T07:28:10.0990353Z ##[endgroup] 2025-09-07T07:28:10.0993850Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:28:10.1026442Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:28:10.1053997Z ##[group]Checking out the ref 2025-09-07T07:28:10.1057668Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:11.1328599Z Updating files: 93% (18159/19405) 2025-09-07T07:28:11.1492865Z Updating files: 94% (18241/19405) 2025-09-07T07:28:11.1618516Z Updating files: 95% (18435/19405) 2025-09-07T07:28:11.1747408Z Updating files: 96% (18629/19405) 2025-09-07T07:28:11.1894858Z Updating files: 97% (18823/19405) 2025-09-07T07:28:11.2112771Z Updating files: 98% (19017/19405) 2025-09-07T07:28:11.2239694Z Updating files: 99% (19211/19405) 2025-09-07T07:28:11.2239945Z Updating files: 100% (19405/19405) 2025-09-07T07:28:11.2240404Z Updating files: 100% (19405/19405), done. 2025-09-07T07:28:11.2505081Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:28:11.2505347Z 2025-09-07T07:28:11.2505535Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:28:11.2506020Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:28:11.2506490Z state without impacting any branches by switching back to a branch. 2025-09-07T07:28:11.2506766Z 2025-09-07T07:28:11.2506950Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:28:11.2507378Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:28:11.2507642Z 2025-09-07T07:28:11.2507737Z git switch -c 2025-09-07T07:28:11.2507912Z 2025-09-07T07:28:11.2508003Z Or undo this operation with: 2025-09-07T07:28:11.2508160Z 2025-09-07T07:28:11.2508238Z git switch - 2025-09-07T07:28:11.2508350Z 2025-09-07T07:28:11.2508568Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:28:11.2508872Z 2025-09-07T07:28:11.2509028Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:28:11.3035935Z ##[endgroup] 2025-09-07T07:28:11.3036303Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:28:11.3041780Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:28:11.3085902Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:28:11.3112206Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:28:11.3136981Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:28:11.3160054Z ##[endgroup] 2025-09-07T07:28:11.3160384Z ##[group]Fetching submodules 2025-09-07T07:28:11.3163925Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:28:11.3449692Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:28:11.3725005Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:28:11.3739128Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:28:11.3741776Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:28:11.3744307Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:28:11.3758308Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:28:11.3761316Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:28:11.3774650Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:28:11.3777484Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:28:11.3780391Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:28:11.3794515Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:28:11.3797468Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:28:11.3811597Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:28:11.3815116Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:28:11.3818037Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:28:11.3821648Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:28:11.3826676Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:28:11.3843118Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:28:11.3846656Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:28:11.3850347Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:28:11.3853917Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:28:11.3868832Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:28:11.3872598Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:28:11.3876435Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:28:11.3880259Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:28:11.3884255Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:28:11.3899583Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:28:11.3903697Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:28:11.3907778Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:28:11.3912214Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:28:11.3927024Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:28:11.3931439Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:28:11.3935804Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:28:11.3940352Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:28:11.3946414Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:28:11.3962369Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:28:11.3967202Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:28:11.3971998Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:28:11.4000858Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:28:11.6211140Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:28:11.6211823Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:28:11.6212425Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:28:11.6213342Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:28:11.6266625Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:28:11.8017784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:28:11.8018481Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:28:11.8019153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:28:11.8019786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:28:11.8020456Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:28:11.8021111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:28:11.8021728Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:28:11.8022340Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:28:11.8332246Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:28:12.5298148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:28:12.5298801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:28:12.5299455Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:28:12.5300116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:28:12.5300768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:28:12.5301399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:28:12.5302016Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:28:12.5302620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:28:12.5303223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:28:12.5303824Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:28:12.5304441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:28:12.6299077Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:28:20.7848800Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:28:20.7849473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:28:20.7850106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:28:20.7850719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:28:20.7851318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:28:20.7851957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:28:20.7852598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:28:20.7853202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:28:20.7853861Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:28:20.7854530Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:28:20.7994652Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:28:20.8113055Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:28:20.8207115Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:28:20.8430501Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:28:20.9146839Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:28:20.9607293Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:28:21.5723967Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:28:21.7099898Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:28:21.7119282Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:28:21.7143820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:28:24.8147275Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:28:24.8361911Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:28:25.1171750Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:28:25.1626816Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:28:25.2486381Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:28:25.2896614Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:28:25.8383137Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:28:25.9674530Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:28:25.9694400Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:28:25.9696637Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:28:25.9698727Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:28:25.9700977Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:28:25.9703336Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:28:25.9705747Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:28:25.9708020Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:28:25.9733841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:28:26.9805971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:28:26.9806792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:28:26.9807579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:28:26.9808365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:28:27.0806196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:28:27.6989127Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:28:32.0656483Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:28:32.2906263Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:28:32.3798813Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:28:32.9665335Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:28:33.0068921Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:33.0180580Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:28:33.1109924Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:28:33.1781134Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:28:33.1798919Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:28:33.1800967Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:28:33.1825927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:28:36.0211630Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:28:36.2258668Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:28:36.7185229Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:28:36.8322236Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:28:36.8614323Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:28:36.8954423Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:28:36.9182584Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:28:36.9576711Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:36.9701856Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:28:36.9718623Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:28:36.9742447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:28:48.3256965Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:28:48.3442897Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:28:48.4298075Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:28:48.4315672Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:28:48.4317605Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:28:48.4320126Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:28:48.4345025Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:28:49.0105132Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:28:49.2882027Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:28:49.3616790Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:28:49.3633510Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:28:49.3635723Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:28:49.3637889Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:28:49.3640160Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:28:49.3642441Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:28:49.3644945Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:28:49.3647299Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:28:49.3649814Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:28:49.3676050Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:28:50.5843589Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:28:50.5844603Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:28:50.5845583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:28:50.5847090Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:28:50.5848099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:28:50.5849090Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:28:50.6843615Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:28:55.3331587Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:28:55.3495219Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:28:55.3816104Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:28:55.3943501Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:28:55.3958646Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:28:55.3983881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:28:55.6628115Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:28:55.6798343Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:28:55.7159581Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:28:55.8135772Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:28:55.8290641Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:28:55.8618832Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:28:55.9135840Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:28:55.9530731Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:28:55.9877980Z Submodule path 'third_party/mimalloc': 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2025-09-07T07:29:10.3343809Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:29:10.3613359Z Entering 'android/libs/fbjni' 2025-09-07T07:29:10.3664434Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:29:10.3681232Z Entering 'third_party/FP16' 2025-09-07T07:29:10.3729399Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:29:10.3745082Z Entering 'third_party/FXdiv' 2025-09-07T07:29:10.3793396Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:29:10.3809876Z Entering 'third_party/NNPACK' 2025-09-07T07:29:10.3857978Z 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2025-09-07T07:29:11.2887266Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:11.2926201Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:11.2965809Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:11.3003711Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:11.3041819Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:11.3100578Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:29:11.3373363Z Entering 'android/libs/fbjni' 2025-09-07T07:29:11.3415303Z Entering 'third_party/FP16' 2025-09-07T07:29:11.3456316Z Entering 'third_party/FXdiv' 2025-09-07T07:29:11.3497005Z Entering 'third_party/NNPACK' 2025-09-07T07:29:11.3537534Z Entering 'third_party/NVTX' 2025-09-07T07:29:11.3579916Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:11.3620697Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:11.3670896Z Entering 'third_party/aiter' 2025-09-07T07:29:11.3712033Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:11.3757408Z Entering 'third_party/benchmark' 2025-09-07T07:29:11.3798896Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:11.3845135Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:11.3885820Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:11.3927076Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:11.3967571Z Entering 'third_party/cutlass' 2025-09-07T07:29:11.4013331Z Entering 'third_party/fbgemm' 2025-09-07T07:29:11.4056347Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:11.4095484Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:11.4139518Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:11.4179496Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:11.4224212Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:11.4263124Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:11.4302498Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:11.4344288Z Entering 'third_party/flash-attention' 2025-09-07T07:29:11.4385476Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:11.4428521Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:11.4474399Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:11.4516869Z Entering 'third_party/fmt' 2025-09-07T07:29:11.4557707Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:11.4598480Z Entering 'third_party/gloo' 2025-09-07T07:29:11.4639376Z Entering 'third_party/googletest' 2025-09-07T07:29:11.4680019Z Entering 'third_party/ideep' 2025-09-07T07:29:11.4720162Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:11.4765551Z Entering 'third_party/ittapi' 2025-09-07T07:29:11.4806797Z Entering 'third_party/kineto' 2025-09-07T07:29:11.4873203Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:11.4912105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:11.4952297Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:11.4992116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:11.5031780Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:11.5069878Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:11.5111030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:11.5150169Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:11.5189249Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:11.5229272Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:11.5270482Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:11.5309594Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:11.5350806Z Entering 'third_party/kleidiai' 2025-09-07T07:29:11.5392205Z Entering 'third_party/mimalloc' 2025-09-07T07:29:11.5433031Z Entering 'third_party/nlohmann' 2025-09-07T07:29:11.5474877Z Entering 'third_party/onnx' 2025-09-07T07:29:11.5527714Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:11.5571065Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:11.5613239Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:11.5652083Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:11.5691217Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:11.5729453Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:11.5768338Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:11.5806900Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:11.5845237Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:11.5883009Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:11.5922801Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:11.5964528Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:11.6017476Z Entering 'third_party/pocketfft' 2025-09-07T07:29:11.6058478Z Entering 'third_party/protobuf' 2025-09-07T07:29:11.6101664Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:11.6140239Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:11.6181410Z Entering 'third_party/psimd' 2025-09-07T07:29:11.6221810Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:11.6261836Z Entering 'third_party/pybind11' 2025-09-07T07:29:11.6302479Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:11.6342880Z Entering 'third_party/sleef' 2025-09-07T07:29:11.6384101Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:11.6425021Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:11.6464481Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:11.6502677Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:11.6541528Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:11.6579734Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:11.6634762Z ##[endgroup] 2025-09-07T07:29:11.6671346Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:29:11.6693662Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:11.6794480Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:11.6794783Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:11.6795045Z # Clean stale submodule dirs 2025-09-07T07:29:11.6795314Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:29:11.6795640Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:11.6795963Z else 2025-09-07T07:29:11.6796216Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:11.6796517Z fi 2025-09-07T07:29:11.6806713Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:11.6807045Z env: 2025-09-07T07:29:11.6807218Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.6807447Z NO_SUDO: true 2025-09-07T07:29:11.6807625Z ##[endgroup] 2025-09-07T07:29:11.7104552Z Entering 'android/libs/fbjni' 2025-09-07T07:29:11.7136355Z Entering 'third_party/FP16' 2025-09-07T07:29:11.7166905Z Entering 'third_party/FXdiv' 2025-09-07T07:29:11.7197058Z Entering 'third_party/NNPACK' 2025-09-07T07:29:11.7229646Z Entering 'third_party/NVTX' 2025-09-07T07:29:11.7266505Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:11.7297897Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:11.7403979Z Entering 'third_party/aiter' 2025-09-07T07:29:11.7443438Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:11.7537775Z Entering 'third_party/benchmark' 2025-09-07T07:29:11.7569170Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:11.7670657Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:11.7702982Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:11.7737129Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:11.7769655Z Entering 'third_party/cutlass' 2025-09-07T07:29:11.7854583Z Entering 'third_party/fbgemm' 2025-09-07T07:29:11.7907911Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:11.7937641Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:11.8028711Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:11.8061088Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:11.8144703Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:11.8175548Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:11.8203558Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:11.8243888Z Entering 'third_party/flash-attention' 2025-09-07T07:29:11.8280948Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:11.8364763Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:11.8440811Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:11.8502378Z Entering 'third_party/fmt' 2025-09-07T07:29:11.8533984Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:11.8565701Z Entering 'third_party/gloo' 2025-09-07T07:29:11.8597988Z Entering 'third_party/googletest' 2025-09-07T07:29:11.8631848Z Entering 'third_party/ideep' 2025-09-07T07:29:11.8661173Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:11.8735218Z Entering 'third_party/ittapi' 2025-09-07T07:29:11.8768529Z Entering 'third_party/kineto' 2025-09-07T07:29:11.8801934Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:11.8833702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:11.8875399Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:11.8904537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:11.8934545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:11.8961739Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:11.8991276Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:11.9020049Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:11.9050847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:11.9087094Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:11.9117683Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:11.9146744Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:11.9179155Z Entering 'third_party/kleidiai' 2025-09-07T07:29:11.9213924Z Entering 'third_party/mimalloc' 2025-09-07T07:29:11.9246230Z Entering 'third_party/nlohmann' 2025-09-07T07:29:11.9288531Z Entering 'third_party/onnx' 2025-09-07T07:29:11.9557999Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:11.9592454Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:11.9641840Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:11.9671402Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:11.9702068Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:11.9730314Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:11.9768022Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:11.9797174Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:11.9826881Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:11.9855666Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:11.9897837Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:11.9930741Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:12.0142756Z Entering 'third_party/pocketfft' 2025-09-07T07:29:12.0171794Z Entering 'third_party/protobuf' 2025-09-07T07:29:12.0237967Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:12.0267102Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:12.0300596Z Entering 'third_party/psimd' 2025-09-07T07:29:12.0330127Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:12.0360749Z Entering 'third_party/pybind11' 2025-09-07T07:29:12.0394195Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:12.0425156Z Entering 'third_party/sleef' 2025-09-07T07:29:12.0457878Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:12.0490477Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:12.0520191Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:12.0548526Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:12.0580796Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:12.0608746Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:12.0760191Z Prepare all required actions 2025-09-07T07:29:12.0760781Z Getting action download info 2025-09-07T07:29:12.2585587Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:29:12.2585856Z env: 2025-09-07T07:29:12.2586031Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:12.2586239Z ##[endgroup] 2025-09-07T07:29:12.2620989Z ##[group]Run set -euo pipefail 2025-09-07T07:29:12.2621277Z set -euo pipefail 2025-09-07T07:29:12.2621526Z function get_ec2_metadata() { 2025-09-07T07:29:12.2621847Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:29:12.2622390Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:29:12.2622867Z  category=$1 2025-09-07T07:29:12.2623169Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:29:12.2623539Z  runner_name_str=i-00a51a90fcc907e9f 2025-09-07T07:29:12.2623853Z  if [[ -f /.inarc ]]; then 2025-09-07T07:29:12.2624349Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:29:12.2624680Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:29:12.2625085Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:29:12.2625442Z  else 2025-09-07T07:29:12.2626178Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:29:12.2626958Z  fi 2025-09-07T07:29:12.2627127Z } 2025-09-07T07:29:12.2627345Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:29:12.2627708Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:29:12.2628115Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:29:12.2628462Z echo "system info $(uname -a)" 2025-09-07T07:29:12.2635979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:12.2636294Z env: 2025-09-07T07:29:12.2636470Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:12.2636678Z ##[endgroup] 2025-09-07T07:29:12.2762884Z ami-id: ami-022bbd2ccaf21691f 2025-09-07T07:29:12.2852902Z instance-id: i-00a51a90fcc907e9f 2025-09-07T07:29:12.2943454Z instance-type: m7g.metal 2025-09-07T07:29:12.2953544Z system info Linux ip-10-0-15-55.ec2.internal 6.1.141-155.222.amzn2023.aarch64 #1 SMP Tue Jun 17 10:29:19 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux 2025-09-07T07:29:12.2972192Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:12.2973005Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:12.2979534Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:12.2979883Z env: 2025-09-07T07:29:12.2980056Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:12.2980266Z ##[endgroup] 2025-09-07T07:29:12.3052786Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:29:12.3053166Z if systemctl is-active --quiet docker; then 2025-09-07T07:29:12.3053494Z  echo "Docker daemon is running..."; 2025-09-07T07:29:12.3053763Z else 2025-09-07T07:29:12.3054057Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:29:12.3054407Z fi 2025-09-07T07:29:12.3060160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:12.3060474Z env: 2025-09-07T07:29:12.3060645Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:12.3060856Z ##[endgroup] 2025-09-07T07:29:12.3131717Z Docker daemon is running... 2025-09-07T07:29:12.3165532Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:29:12.3165783Z with: 2025-09-07T07:29:12.3165944Z shell: bash 2025-09-07T07:29:12.3166328Z timeout_minutes: 5 2025-09-07T07:29:12.3166557Z max_attempts: 3 2025-09-07T07:29:12.3166748Z retry_wait_seconds: 30 2025-09-07T07:29:12.3168748Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:29:12.3170739Z polling_interval_seconds: 1 2025-09-07T07:29:12.3170972Z warning_on_retry: true 2025-09-07T07:29:12.3171183Z continue_on_error: false 2025-09-07T07:29:12.3171393Z env: 2025-09-07T07:29:12.3171562Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:12.3171963Z AWS_RETRY_MODE: standard 2025-09-07T07:29:12.3172173Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:29:12.3172381Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:29:12.3172598Z ##[endgroup] 2025-09-07T07:29:13.3275127Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:13.3275726Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:13.3276282Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:13.3276623Z 2025-09-07T07:29:13.3276812Z Login Succeeded 2025-09-07T07:29:13.3909511Z Command completed after 1 attempt(s). 2025-09-07T07:29:13.3960691Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:13.3961132Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:13.3961521Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:13.3969938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.3970266Z env: 2025-09-07T07:29:13.3970443Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.3970654Z ##[endgroup] 2025-09-07T07:29:13.4042231Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:13.4042714Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:13.4043071Z # shellcheck disable=SC2046 2025-09-07T07:29:13.4043352Z docker stop $(docker ps -q) || true 2025-09-07T07:29:13.4043641Z # Prune all of the docker images 2025-09-07T07:29:13.4043913Z docker system prune -af 2025-09-07T07:29:13.4049502Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.4049812Z env: 2025-09-07T07:29:13.4049985Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.4050195Z ##[endgroup] 2025-09-07T07:29:13.4382047Z "docker stop" requires at least 1 argument. 2025-09-07T07:29:13.4382350Z See 'docker stop --help'. 2025-09-07T07:29:13.4382497Z 2025-09-07T07:29:13.4382669Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:29:13.4382908Z 2025-09-07T07:29:13.4383000Z Stop one or more running containers 2025-09-07T07:29:13.4543206Z Total reclaimed space: 0B 2025-09-07T07:29:13.4573122Z ##[group]Run set +e 2025-09-07T07:29:13.4573356Z set +e 2025-09-07T07:29:13.4573545Z set -x 2025-09-07T07:29:13.4573723Z  2025-09-07T07:29:13.4573916Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:13.4574412Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:29:13.4575057Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:29:13.4575504Z # one is returned at random 2025-09-07T07:29:13.4575835Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:29:13.4576145Z  2025-09-07T07:29:13.4576330Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:13.4576949Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:29:13.4577408Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:29:13.4577731Z  2025-09-07T07:29:13.4577921Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:13.4578249Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:29:13.4578555Z  exit 1 2025-09-07T07:29:13.4578737Z  fi 2025-09-07T07:29:13.4578910Z fi 2025-09-07T07:29:13.4579074Z  2025-09-07T07:29:13.4579290Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:29:13.4579597Z  # Clean up any old records first 2025-09-07T07:29:13.4579895Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:29:13.4580165Z fi 2025-09-07T07:29:13.4580329Z  2025-09-07T07:29:13.4580593Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:29:13.4581175Z cat /etc/hosts 2025-09-07T07:29:13.4588277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.4588600Z env: 2025-09-07T07:29:13.4588773Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.4588981Z ##[endgroup] 2025-09-07T07:29:13.4611530Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:13.4616755Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:29:13.4617474Z ++ tail -n1 2025-09-07T07:29:13.4969618Z + RESOLVED_IP=18.160.10.28 2025-09-07T07:29:13.4969963Z + '[' -z 18.160.10.28 ']' 2025-09-07T07:29:13.4970213Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:29:13.4983808Z + echo '18.160.10.28 download.pytorch.org' 2025-09-07T07:29:13.4984505Z + sudo tee -a /etc/hosts 2025-09-07T07:29:13.7221150Z 18.160.10.28 download.pytorch.org 2025-09-07T07:29:13.7239412Z + cat /etc/hosts 2025-09-07T07:29:13.7247789Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:29:13.7253308Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:29:13.7253641Z 18.160.10.28 download.pytorch.org 2025-09-07T07:29:13.7402248Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:29:13.7402695Z with: 2025-09-07T07:29:13.7403469Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7404331Z use-custom-docker-registry: true 2025-09-07T07:29:13.7404592Z docker-build-dir: .ci/docker 2025-09-07T07:29:13.7404842Z docker-build-script: ./build.sh 2025-09-07T07:29:13.7405089Z working-directory: . 2025-09-07T07:29:13.7405383Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.7405714Z force-push: false 2025-09-07T07:29:13.7405896Z env: 2025-09-07T07:29:13.7406066Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.7406276Z ##[endgroup] 2025-09-07T07:29:13.7422954Z ##[group]Run set -ex 2025-09-07T07:29:13.7423223Z set -ex 2025-09-07T07:29:13.7423403Z  2025-09-07T07:29:13.7423767Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:29:13.7424338Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:29:13.7424817Z # job could then download the pre-built image as usual 2025-09-07T07:29:13.7425411Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:29:13.7425962Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7426234Z else 2025-09-07T07:29:13.7426450Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7426823Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7427164Z  2025-09-07T07:29:13.7427637Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:29:13.7428181Z  exit 0 2025-09-07T07:29:13.7428355Z fi 2025-09-07T07:29:13.7428520Z  2025-09-07T07:29:13.7428805Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:29:13.7429319Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:29:13.7429770Z  # use it as it is, but first let's extract the tag 2025-09-07T07:29:13.7430179Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:29:13.7430611Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7431027Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7431368Z else 2025-09-07T07:29:13.7431584Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:29:13.7432128Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:29:13.7432467Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:29:13.7432746Z  fi 2025-09-07T07:29:13.7433125Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:29:13.7433642Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7434189Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7434794Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7435152Z fi 2025-09-07T07:29:13.7443086Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.7443398Z env: 2025-09-07T07:29:13.7443571Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.7443788Z REPO_NAME: pytorch 2025-09-07T07:29:13.7444726Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7445588Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:13.7445821Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:29:13.7446141Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.7446482Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:29:13.7446723Z CUSTOM_TAG_PREFIX: 2025-09-07T07:29:13.7446913Z ##[endgroup] 2025-09-07T07:29:13.7470685Z + [[ -d .ci/docker ]] 2025-09-07T07:29:13.7470920Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:29:13.7471163Z + [[ true == \t\r\u\e ]] 2025-09-07T07:29:13.7471366Z + echo skip=false 2025-09-07T07:29:13.7472358Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:29:13.7477211Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7478004Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:29:13.7551314Z + DOCKER_TAG=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7552257Z + echo docker-tag=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7553589Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7574628Z ##[group]Run set +e 2025-09-07T07:29:13.7574875Z set +e 2025-09-07T07:29:13.7575060Z set -x 2025-09-07T07:29:13.7575240Z  2025-09-07T07:29:13.7575403Z login() { 2025-09-07T07:29:13.7575828Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:13.7576268Z } 2025-09-07T07:29:13.7576432Z  2025-09-07T07:29:13.7576595Z retry () { 2025-09-07T07:29:13.7576821Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:13.7577083Z } 2025-09-07T07:29:13.7577249Z  2025-09-07T07:29:13.7577437Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:13.7577690Z  2025-09-07T07:29:13.7577868Z START_TIME=$(date +%s) 2025-09-07T07:29:13.7578108Z # Wait up to 120 minutes 2025-09-07T07:29:13.7578412Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:29:13.7578824Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:29:13.7579241Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:29:13.7579541Z  exit 0 2025-09-07T07:29:13.7579926Z  fi 2025-09-07T07:29:13.7580099Z  2025-09-07T07:29:13.7580427Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:29:13.7580994Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:29:13.7581559Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:29:13.7582001Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:29:13.7582339Z  # It's a Docker build job, let's build the image 2025-09-07T07:29:13.7582629Z  break 2025-09-07T07:29:13.7582814Z  else 2025-09-07T07:29:13.7583097Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:29:13.7583438Z  sleep 300 2025-09-07T07:29:13.7583636Z  fi 2025-09-07T07:29:13.7583808Z done 2025-09-07T07:29:13.7583984Z  2025-09-07T07:29:13.7584430Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:29:13.7584929Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:29:13.7585368Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:29:13.7585752Z  # if we're on the base branch then use the parent commit 2025-09-07T07:29:13.7586089Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:29:13.7586345Z else 2025-09-07T07:29:13.7586618Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:29:13.7587019Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:29:13.7587319Z fi 2025-09-07T07:29:13.7587482Z  2025-09-07T07:29:13.7587669Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:29:13.7587972Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7588252Z  2025-09-07T07:29:13.7588647Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:29:13.7589118Z  exit 0 2025-09-07T07:29:13.7589298Z fi 2025-09-07T07:29:13.7589465Z  2025-09-07T07:29:13.7589717Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:29:13.7590293Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:29:13.7590786Z  exit 1 2025-09-07T07:29:13.7590967Z fi 2025-09-07T07:29:13.7591135Z  2025-09-07T07:29:13.7591432Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:29:13.7591993Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:29:13.7592500Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:29:13.7593094Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:29:13.7593751Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:29:13.7594134Z fi 2025-09-07T07:29:13.7594304Z  2025-09-07T07:29:13.7594519Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:13.7600256Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.7600569Z env: 2025-09-07T07:29:13.7600738Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.7600966Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:13.7601252Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:13.7602117Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7603372Z DOCKER_TAG: pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7604034Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.7604358Z DOCKER_PUSH: 2025-09-07T07:29:13.7604534Z ##[endgroup] 2025-09-07T07:29:13.7626164Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.7626537Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.7628696Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:13.7629694Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:14.2254487Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:14.2255014Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:14.2255497Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:14.2255830Z 2025-09-07T07:29:14.2256304Z Login Succeeded 2025-09-07T07:29:14.2273919Z ++ date +%s 2025-09-07T07:29:14.2283113Z + START_TIME=1757230154 2025-09-07T07:29:14.2285547Z ++ date +%s 2025-09-07T07:29:14.2293991Z + [[ 1757222954 -lt 1757230154 ]] 2025-09-07T07:29:14.2294846Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:14.4368978Z { 2025-09-07T07:29:14.4369163Z "schemaVersion": 2, 2025-09-07T07:29:14.4369520Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:29:14.4369893Z "config": { 2025-09-07T07:29:14.4370174Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:29:14.4370510Z "size": 30319, 2025-09-07T07:29:14.4370865Z "digest": 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"sha256:8a28267fa33261af473c2c4f617903a0c7af7cf2203014da2f37b5dd58aac207" 2025-09-07T07:29:14.4499951Z }, 2025-09-07T07:29:14.4500094Z { 2025-09-07T07:29:14.4500365Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:14.4500716Z "size": 125, 2025-09-07T07:29:14.4501065Z "digest": "sha256:89735be27bd4dc00abc5df9a6483a79fe2dd2df2e86d6fa7db0fc871b1a6df57" 2025-09-07T07:29:14.4501464Z } 2025-09-07T07:29:14.4501610Z ] 2025-09-07T07:29:14.4501755Z } 2025-09-07T07:29:14.4501918Z + exit 0 2025-09-07T07:29:14.4525295Z ##[group]Run set -eux 2025-09-07T07:29:14.4525526Z set -eux 2025-09-07T07:29:14.4525885Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:29:14.4526879Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:29:14.4533985Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.4534295Z env: 2025-09-07T07:29:14.4534467Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.4534689Z ##[endgroup] 2025-09-07T07:29:14.4560739Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:29:14.4561259Z + jq --raw-output .SecretString 2025-09-07T07:29:14.4562146Z + jq -r .docker_hub_readonly_token 2025-09-07T07:29:14.4563610Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:29:14.9903871Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:14.9904393Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:14.9904897Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:14.9905236Z 2025-09-07T07:29:14.9905593Z Login Succeeded 2025-09-07T07:29:15.0005952Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:15.0006342Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:15.0006678Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:29:15.0013292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:15.0013808Z env: 2025-09-07T07:29:15.0013990Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.0014791Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.0015609Z ##[endgroup] 2025-09-07T07:29:15.0040442Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.0080285Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:29:15.0080693Z with: 2025-09-07T07:29:15.0081438Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.0082337Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:15.0082655Z env: 2025-09-07T07:29:15.0082842Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.0083054Z ##[endgroup] 2025-09-07T07:29:15.0096102Z ##[group]Run set -x 2025-09-07T07:29:15.0096335Z set -x 2025-09-07T07:29:15.0096519Z set +e 2025-09-07T07:29:15.0096698Z  2025-09-07T07:29:15.0096857Z login() { 2025-09-07T07:29:15.0097260Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:15.0097695Z } 2025-09-07T07:29:15.0097862Z  2025-09-07T07:29:15.0098056Z retry () { 2025-09-07T07:29:15.0098283Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:15.0098541Z } 2025-09-07T07:29:15.0098705Z  2025-09-07T07:29:15.0098896Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:15.0099147Z  2025-09-07T07:29:15.0099552Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:29:15.0100125Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:29:15.0100436Z  2025-09-07T07:29:15.0100600Z set -e 2025-09-07T07:29:15.0100885Z # ignore output since only exit code is used for conditional 2025-09-07T07:29:15.0101299Z # only pull docker image if it's not available locally 2025-09-07T07:29:15.0101760Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:29:15.0102193Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:29:15.0102461Z fi 2025-09-07T07:29:15.0107989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:15.0108306Z env: 2025-09-07T07:29:15.0108478Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.0109264Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.0110152Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:15.0110481Z ##[endgroup] 2025-09-07T07:29:15.0131097Z + set +e 2025-09-07T07:29:15.0131377Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:15.0131741Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:15.0134217Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:15.0135163Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:15.4755574Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:15.4756108Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:15.4767288Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:15.4767718Z 2025-09-07T07:29:15.4767816Z Login Succeeded 2025-09-07T07:29:15.4778348Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.4779519Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:29:15.6593706Z + IMAGE_SIZE=16908.71542263031 2025-09-07T07:29:15.6594071Z + echo 'Compressed size of image in MB: 16908.71542263031' 2025-09-07T07:29:15.6594385Z + set -e 2025-09-07T07:29:15.6594602Z Compressed size of image in MB: 16908.71542263031 2025-09-07T07:29:15.6596746Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.6716879Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.6718281Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:15.8627375Z pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:29:15.8628522Z 8bbfefac75f4: Pulling fs layer 2025-09-07T07:29:15.8628797Z 1034e845500b: Pulling fs layer 2025-09-07T07:29:15.8629032Z 7108634f1291: Pulling fs layer 2025-09-07T07:29:15.8629265Z 9f402ac333db: Pulling fs layer 2025-09-07T07:29:15.8629501Z b2a4ed722058: Pulling fs layer 2025-09-07T07:29:15.8629750Z d96fa71aa7d0: Pulling fs layer 2025-09-07T07:29:15.8629982Z ab8dd3557a1f: Pulling fs layer 2025-09-07T07:29:15.8630227Z fd99b0dcee89: Pulling fs layer 2025-09-07T07:29:15.8630460Z f7b4a101181d: Pulling fs layer 2025-09-07T07:29:15.8630691Z aae584ec1580: Pulling fs layer 2025-09-07T07:29:15.8630952Z 4906db9d12bf: Pulling fs layer 2025-09-07T07:29:15.8631177Z cc22251711f7: Pulling fs layer 2025-09-07T07:29:15.8631407Z 7022473e3fe9: Pulling fs layer 2025-09-07T07:29:15.8631640Z b2a4ed722058: Waiting 2025-09-07T07:29:15.8631847Z 44dfb511788f: Pulling fs layer 2025-09-07T07:29:15.8632076Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:29:15.8632307Z 20ee7a042819: Pulling fs layer 2025-09-07T07:29:15.8632540Z 1acbc52cc958: Pulling fs layer 2025-09-07T07:29:15.8632770Z d96fa71aa7d0: Waiting 2025-09-07T07:29:15.8632974Z 56a48ab89702: Pulling fs layer 2025-09-07T07:29:15.8633208Z 3f2a38e8e42c: Pulling fs layer 2025-09-07T07:29:15.8633439Z 67060a7526c7: Pulling fs layer 2025-09-07T07:29:15.8633663Z ab8dd3557a1f: Waiting 2025-09-07T07:29:15.8633865Z 5044c8e66435: Pulling fs layer 2025-09-07T07:29:15.8634095Z e8e3b05e8ebf: Pulling fs layer 2025-09-07T07:29:15.8634329Z f1f79ed6e837: Pulling fs layer 2025-09-07T07:29:15.8634559Z e9247cb8405c: Pulling fs layer 2025-09-07T07:29:15.8634778Z fd99b0dcee89: Waiting 2025-09-07T07:29:15.8634984Z 9c69a27176e5: Pulling fs layer 2025-09-07T07:29:15.8635203Z f7b4a101181d: Waiting 2025-09-07T07:29:15.8635408Z e7fb26a8f333: Pulling fs layer 2025-09-07T07:29:15.8635634Z aae584ec1580: Waiting 2025-09-07T07:29:15.8635828Z 9f402ac333db: Waiting 2025-09-07T07:29:15.8636034Z afdfb47fc1ed: Pulling fs layer 2025-09-07T07:29:15.8636259Z 4906db9d12bf: Waiting 2025-09-07T07:29:15.8636457Z 488b5af903b5: Pulling fs layer 2025-09-07T07:29:15.8636676Z 44dfb511788f: Waiting 2025-09-07T07:29:15.8636878Z 36e30b1c2982: Pulling fs layer 2025-09-07T07:29:15.8637096Z cc22251711f7: Waiting 2025-09-07T07:29:15.8637293Z 05ee2b3d005a: Pulling fs layer 2025-09-07T07:29:15.8637533Z 6ffeb6d1993e: Pulling fs layer 2025-09-07T07:29:15.8637755Z 9c69a27176e5: Waiting 2025-09-07T07:29:15.8637956Z afeef50b4508: Pulling fs layer 2025-09-07T07:29:15.8638179Z 4f4fb700ef54: Waiting 2025-09-07T07:29:15.8638372Z 7022473e3fe9: Waiting 2025-09-07T07:29:15.8638565Z e7fb26a8f333: Waiting 2025-09-07T07:29:15.8638766Z 3fcf510a2172: Pulling fs layer 2025-09-07T07:29:15.8638990Z e8e3b05e8ebf: Waiting 2025-09-07T07:29:15.8639182Z 67060a7526c7: Waiting 2025-09-07T07:29:15.8639383Z d1b4c895928e: Pulling fs layer 2025-09-07T07:29:15.8639882Z 5044c8e66435: Waiting 2025-09-07T07:29:15.8640076Z 20ee7a042819: Waiting 2025-09-07T07:29:15.8640305Z f1f79ed6e837: Waiting 2025-09-07T07:29:15.8640509Z 69ec6a4b91e8: Pulling fs layer 2025-09-07T07:29:15.8640730Z e9247cb8405c: Waiting 2025-09-07T07:29:15.8640918Z 1acbc52cc958: Waiting 2025-09-07T07:29:15.8641110Z afdfb47fc1ed: Waiting 2025-09-07T07:29:15.8641310Z 102375337d73: Pulling fs layer 2025-09-07T07:29:15.8641529Z 6ffeb6d1993e: Waiting 2025-09-07T07:29:15.8641717Z 3f2a38e8e42c: Waiting 2025-09-07T07:29:15.8642108Z 4accd97ef2e2: Pulling fs layer 2025-09-07T07:29:15.8642346Z 56a48ab89702: Waiting 2025-09-07T07:29:15.8642538Z 05ee2b3d005a: Waiting 2025-09-07T07:29:15.8642725Z 3fcf510a2172: Waiting 2025-09-07T07:29:15.8642927Z 9ee269fa5570: Pulling fs layer 2025-09-07T07:29:15.8643151Z afeef50b4508: Waiting 2025-09-07T07:29:15.8643342Z 36e30b1c2982: Waiting 2025-09-07T07:29:15.8643542Z d193fbc9ee81: Pulling fs layer 2025-09-07T07:29:15.8643776Z 99a2462c8c29: Pulling fs layer 2025-09-07T07:29:15.8643998Z d1b4c895928e: Waiting 2025-09-07T07:29:15.8644201Z fe1294e18ed0: Pulling fs layer 2025-09-07T07:29:15.8644419Z 69ec6a4b91e8: Waiting 2025-09-07T07:29:15.8644611Z d193fbc9ee81: Waiting 2025-09-07T07:29:15.8644802Z 9ee269fa5570: Waiting 2025-09-07T07:29:15.8644988Z 488b5af903b5: Waiting 2025-09-07T07:29:15.8645174Z 102375337d73: Waiting 2025-09-07T07:29:15.8645374Z f379f1cd3010: Pulling fs layer 2025-09-07T07:29:15.8645598Z fe1294e18ed0: Waiting 2025-09-07T07:29:15.8645805Z 6ae93e16ed4e: Pulling fs layer 2025-09-07T07:29:15.8646021Z f379f1cd3010: Waiting 2025-09-07T07:29:15.8646224Z f995c3109bd8: Pulling fs layer 2025-09-07T07:29:15.8646444Z 6ae93e16ed4e: Waiting 2025-09-07T07:29:15.8646647Z 058384795bac: Pulling fs layer 2025-09-07T07:29:15.8646873Z 3e762f827dd1: Pulling fs layer 2025-09-07T07:29:15.8647108Z 6acfbf2cdc17: Pulling fs layer 2025-09-07T07:29:15.8647342Z 1e43a43b4f06: Pulling fs layer 2025-09-07T07:29:15.8647570Z 968c538d5104: Pulling fs layer 2025-09-07T07:29:15.8647788Z f995c3109bd8: Waiting 2025-09-07T07:29:15.8647992Z 575807ea3b5f: Pulling fs layer 2025-09-07T07:29:15.8648209Z 3e762f827dd1: Waiting 2025-09-07T07:29:15.8648412Z 6a61bbb32004: Pulling fs layer 2025-09-07T07:29:15.8648641Z 6acfbf2cdc17: Waiting 2025-09-07T07:29:15.8648834Z 058384795bac: Waiting 2025-09-07T07:29:15.8649038Z f88dbb5c90de: Pulling fs layer 2025-09-07T07:29:15.8649259Z 1e43a43b4f06: Waiting 2025-09-07T07:29:15.8649462Z 08443826e2c5: Pulling fs layer 2025-09-07T07:29:15.8649680Z 575807ea3b5f: Waiting 2025-09-07T07:29:15.8649886Z 923b78b30294: Pulling fs layer 2025-09-07T07:29:15.8650103Z 968c538d5104: Waiting 2025-09-07T07:29:15.8650293Z f88dbb5c90de: Waiting 2025-09-07T07:29:15.8650486Z 6a61bbb32004: Waiting 2025-09-07T07:29:15.8650687Z 0751aba37e5a: Pulling fs layer 2025-09-07T07:29:15.8650905Z 08443826e2c5: Waiting 2025-09-07T07:29:15.8651107Z fbe315c5491d: Pulling fs layer 2025-09-07T07:29:15.8651325Z 923b78b30294: Waiting 2025-09-07T07:29:15.8651525Z af69784d4cfc: Pulling fs layer 2025-09-07T07:29:15.8651765Z 91e4deab4f89: Pulling fs layer 2025-09-07T07:29:15.8652002Z c1d56a01ea40: Pulling fs layer 2025-09-07T07:29:15.8652233Z 9ad931d990d4: Pulling fs layer 2025-09-07T07:29:15.8652465Z df5b3d079e9e: Pulling fs layer 2025-09-07T07:29:15.8652691Z 24f5a79527e3: Pulling fs layer 2025-09-07T07:29:15.8652922Z 4166cbf927c3: Pulling fs layer 2025-09-07T07:29:15.8653142Z 0751aba37e5a: Waiting 2025-09-07T07:29:15.8653336Z fbe315c5491d: Waiting 2025-09-07T07:29:15.8653526Z af69784d4cfc: Waiting 2025-09-07T07:29:15.8653722Z 24f5a79527e3: Waiting 2025-09-07T07:29:15.8653914Z c1d56a01ea40: Waiting 2025-09-07T07:29:15.8654110Z 91e4deab4f89: Waiting 2025-09-07T07:29:15.8654301Z df5b3d079e9e: Waiting 2025-09-07T07:29:15.8654489Z 4166cbf927c3: Waiting 2025-09-07T07:29:15.8654687Z d243494d377d: Pulling fs layer 2025-09-07T07:29:15.8654907Z 9ad931d990d4: Waiting 2025-09-07T07:29:15.8655106Z 8a28267fa332: Pulling fs layer 2025-09-07T07:29:15.8655326Z d243494d377d: Waiting 2025-09-07T07:29:15.8655528Z 89735be27bd4: Pulling fs layer 2025-09-07T07:29:15.8655901Z 8a28267fa332: Waiting 2025-09-07T07:29:15.8656098Z 89735be27bd4: Waiting 2025-09-07T07:29:15.9334537Z 1034e845500b: Verifying Checksum 2025-09-07T07:29:15.9334821Z 1034e845500b: Download complete 2025-09-07T07:29:16.0463418Z 9f402ac333db: Verifying Checksum 2025-09-07T07:29:16.0463699Z 9f402ac333db: Download complete 2025-09-07T07:29:16.1230581Z b2a4ed722058: Verifying Checksum 2025-09-07T07:29:16.1230848Z b2a4ed722058: Download complete 2025-09-07T07:29:16.1924277Z 8bbfefac75f4: Verifying Checksum 2025-09-07T07:29:16.1924543Z 8bbfefac75f4: Download complete 2025-09-07T07:29:16.2044887Z d96fa71aa7d0: Verifying Checksum 2025-09-07T07:29:16.2045136Z d96fa71aa7d0: Download complete 2025-09-07T07:29:16.2553716Z ab8dd3557a1f: Download complete 2025-09-07T07:29:16.2784518Z fd99b0dcee89: Verifying Checksum 2025-09-07T07:29:16.2784773Z fd99b0dcee89: Download complete 2025-09-07T07:29:16.3346099Z f7b4a101181d: Verifying Checksum 2025-09-07T07:29:16.3346363Z f7b4a101181d: Download complete 2025-09-07T07:29:16.3688127Z aae584ec1580: Verifying Checksum 2025-09-07T07:29:16.3688374Z aae584ec1580: Download complete 2025-09-07T07:29:16.4008366Z 4906db9d12bf: Verifying Checksum 2025-09-07T07:29:16.4008612Z 4906db9d12bf: Download complete 2025-09-07T07:29:16.4547289Z cc22251711f7: Verifying Checksum 2025-09-07T07:29:16.4547523Z cc22251711f7: Download complete 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Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:31.2839228Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:31.2896087Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:31.2896989Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:31.2907156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:31.2907475Z env: 2025-09-07T07:33:31.2907654Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:31.2907863Z ##[endgroup] 2025-09-07T07:33:31.2991231Z Prepare all required actions 2025-09-07T07:33:31.3021266Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:33:31.3021557Z with: 2025-09-07T07:33:31.3022077Z github-token: *** 2025-09-07T07:33:31.3022270Z env: 2025-09-07T07:33:31.3022444Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:31.3022654Z ##[endgroup] 2025-09-07T07:33:31.3226103Z ##[group]Run set -eux 2025-09-07T07:33:31.3226327Z set -eux 2025-09-07T07:33:31.3226698Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:33:31.3232573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:31.3232891Z env: 2025-09-07T07:33:31.3233064Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:31.3233433Z GITHUB_TOKEN: *** 2025-09-07T07:33:31.3233622Z ##[endgroup] 2025-09-07T07:33:31.3255763Z + python3 .github/scripts/get_workflow_job_id.py 17525321311 i-00a51a90fcc907e9f 2025-09-07T07:33:32.6033495Z Setting output job-id=49775354772 2025-09-07T07:33:32.6034126Z Setting output job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:32.6158967Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:32.6159660Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:32.6160484Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:33:32.6161219Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:32.6167803Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:32.6168115Z env: 2025-09-07T07:33:32.6168288Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:32.6168500Z JOB_ID: 49775354772 2025-09-07T07:33:32.6168966Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:32.6169537Z WORKFLOW_NAME: inductor-perf-nightly-aarch64 2025-09-07T07:33:32.6169854Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T07:33:32.6170089Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:33:32.6170313Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:33:32.6170545Z ##[endgroup] 2025-09-07T07:33:33.2992544Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:33:33.6030798Z Collecting psutil==5.9.8 2025-09-07T07:33:33.6216585Z Downloading psutil-5.9.8.tar.gz (503 kB) 2025-09-07T07:33:33.8384851Z Installing build dependencies: started 2025-09-07T07:33:36.7728053Z Installing build dependencies: finished with status 'done' 2025-09-07T07:33:36.7753220Z Getting requirements to build wheel: started 2025-09-07T07:33:37.1939790Z Getting requirements to build wheel: finished with status 'done' 2025-09-07T07:33:37.1949328Z Preparing metadata (pyproject.toml): started 2025-09-07T07:33:37.8234817Z Preparing metadata (pyproject.toml): finished with status 'done' 2025-09-07T07:33:37.8815068Z Collecting dataclasses_json==0.6.7 2025-09-07T07:33:37.8850917Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:33:37.9366547Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:33:37.9400636Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:33:38.0094199Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:33:38.0130949Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:33:38.2053942Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:33:38.2091150Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:33:38.3844873Z Collecting packaging>=17.0 2025-09-07T07:33:38.3881223Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:33:38.5187278Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:33:38.5222179Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:33:38.6788057Z Collecting typing-extensions>=3.7.4 2025-09-07T07:33:38.6822544Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:33:38.7527340Z Building wheels for collected packages: psutil 2025-09-07T07:33:38.7533795Z Building wheel for psutil (pyproject.toml): started 2025-09-07T07:33:38.9854686Z Building wheel for psutil (pyproject.toml): finished with status 'error' 2025-09-07T07:33:38.9855761Z ERROR: Command errored out with exit status 1: 2025-09-07T07:33:38.9856419Z command: /usr/bin/python3 /usr/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py build_wheel /tmp/tmphkhik3yq 2025-09-07T07:33:38.9857173Z cwd: /tmp/pip-install-dygr2utc/psutil_c8319b7781634d94a1cf01836fdd1af0 2025-09-07T07:33:38.9857546Z Complete output (59 lines): 2025-09-07T07:33:38.9858242Z /tmp/pip-build-env-bmgqd2gx/overlay/lib/python3.9/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-09-07T07:33:38.9858947Z !! 2025-09-07T07:33:38.9859096Z 2025-09-07T07:33:38.9859287Z ******************************************************************************** 2025-09-07T07:33:38.9860065Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-09-07T07:33:38.9860501Z 2025-09-07T07:33:38.9860728Z License :: OSI Approved :: BSD License 2025-09-07T07:33:38.9860989Z 2025-09-07T07:33:38.9861395Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-09-07T07:33:38.9861901Z ******************************************************************************** 2025-09-07T07:33:38.9862163Z 2025-09-07T07:33:38.9862306Z !! 2025-09-07T07:33:38.9862483Z self._finalize_license_expression() 2025-09-07T07:33:38.9862763Z running bdist_wheel 2025-09-07T07:33:38.9862960Z running build 2025-09-07T07:33:38.9863138Z running build_py 2025-09-07T07:33:38.9863468Z creating build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9863921Z copying psutil/_pswindows.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9864445Z copying psutil/_pssunos.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9864944Z copying psutil/_psposix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9865435Z copying psutil/_psosx.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9865921Z copying psutil/_pslinux.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9866406Z copying psutil/_psbsd.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9866894Z copying psutil/_psaix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9867372Z copying psutil/_compat.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9867862Z copying psutil/_common.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9868338Z copying psutil/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9868792Z creating build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9869307Z copying psutil/tests/test_windows.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9869917Z copying psutil/tests/test_unicode.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9870534Z copying psutil/tests/test_testutils.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9871151Z copying psutil/tests/test_system.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9871745Z copying psutil/tests/test_sunos.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9872357Z copying psutil/tests/test_process_all.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9872975Z copying psutil/tests/test_process.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9873577Z copying psutil/tests/test_posix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9874165Z copying psutil/tests/test_osx.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9874988Z copying psutil/tests/test_misc.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9875584Z copying psutil/tests/test_memleaks.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9876187Z copying psutil/tests/test_linux.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9876793Z copying psutil/tests/test_contracts.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9877433Z copying psutil/tests/test_connections.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9878042Z copying psutil/tests/test_bsd.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9878614Z copying psutil/tests/test_aix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9879191Z copying psutil/tests/runner.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9879759Z copying psutil/tests/__main__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9880466Z copying psutil/tests/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:38.9880877Z running build_ext 2025-09-07T07:33:38.9881101Z building 'psutil._psutil_linux' extension 2025-09-07T07:33:38.9881429Z creating build/temp.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:38.9881837Z creating build/temp.linux-aarch64-cpython-39/psutil/arch/linux 2025-09-07T07:33:38.9886662Z gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -ftree-vectorize -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -march=armv8.2-a+crypto -mtune=neoverse-n1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -ftree-vectorize -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -march=armv8.2-a+crypto -mtune=neoverse-n1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -ftree-vectorize -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -march=armv8.2-a+crypto -mtune=neoverse-n1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC -DPSUTIL_POSIX=1 -DPSUTIL_SIZEOF_PID_T=4 -DPSUTIL_VERSION=598 -DPy_LIMITED_API=0x03060000 -DPSUTIL_LINUX=1 -I/usr/include/python3.9 -c psutil/_psutil_common.c -o build/temp.linux-aarch64-cpython-39/psutil/_psutil_common.o 2025-09-07T07:33:38.9891608Z psutil/_psutil_common.c:9:10: fatal error: Python.h: No such file or directory 2025-09-07T07:33:38.9891989Z 9 | #include 2025-09-07T07:33:38.9892209Z | ^~~~~~~~~~ 2025-09-07T07:33:38.9892433Z compilation terminated. 2025-09-07T07:33:38.9892877Z psutil could not be installed from sources. Perhaps Python header files are not installed. Try running: 2025-09-07T07:33:38.9893372Z sudo yum install gcc python3-devel 2025-09-07T07:33:38.9893684Z error: command '/usr/bin/gcc' failed with exit code 1 2025-09-07T07:33:38.9893995Z ---------------------------------------- 2025-09-07T07:33:38.9894284Z ERROR: Failed building wheel for psutil 2025-09-07T07:33:38.9894754Z ERROR: Could not build wheels for psutil, which is required to install pyproject.toml-based projects 2025-09-07T07:33:38.9895210Z Failed to build psutil 2025-09-07T07:33:39.0554214Z ##[error]Process completed with exit code 1. 2025-09-07T07:33:39.0606796Z Prepare all required actions 2025-09-07T07:33:39.0607154Z Getting action download info 2025-09-07T07:33:39.1893568Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:33:40.2684929Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:33:42.8872581Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:33:42.8872890Z with: 2025-09-07T07:33:42.8873081Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:33:42.8873334Z s3-bucket: gha-artifacts 2025-09-07T07:33:42.8873545Z env: 2025-09-07T07:33:42.8873715Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:42.8873922Z ##[endgroup] 2025-09-07T07:33:42.8967466Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:33:42.8967750Z with: 2025-09-07T07:33:42.8967935Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:33:42.8968187Z s3-bucket: gha-artifacts 2025-09-07T07:33:42.8968445Z region: us-east-1 2025-09-07T07:33:42.8968628Z env: 2025-09-07T07:33:42.8968800Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:42.8969015Z ##[endgroup] 2025-09-07T07:33:43.5512944Z (node:52055) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:33:43.5513398Z 2025-09-07T07:33:43.5513565Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:33:43.5514031Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:33:43.5514524Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:33:44.1311311Z Found 1 objects with prefix pytorch/pytorch/17525321311/linux-jammy-aarch64-py3.10/ 2025-09-07T07:33:44.1311928Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:33:47.1997176Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:33:47.2003136Z Artifact download has finished successfully 2025-09-07T07:33:47.2267114Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:33:47.2267408Z unzip -o artifacts.zip 2025-09-07T07:33:47.2274066Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:47.2274387Z env: 2025-09-07T07:33:47.2274586Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:47.2274799Z ##[endgroup] 2025-09-07T07:33:47.3352369Z Archive: 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2025-09-07T07:33:51.7547022Z inflating: build/bin/c10_small_vector_test 2025-09-07T07:33:51.7603865Z inflating: build/bin/c10_string_util_test 2025-09-07T07:33:51.7647429Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-09-07T07:33:51.7699053Z inflating: build/bin/c10_tempfile_test 2025-09-07T07:33:51.7748904Z inflating: build/bin/c10_string_view_test 2025-09-07T07:33:51.7805601Z inflating: build/bin/c10_typeid_test 2025-09-07T07:33:51.8109475Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-09-07T07:33:51.8401767Z inflating: build/bin/vec_test_all_types_SVE256 2025-09-07T07:33:51.8455320Z inflating: build/bin/static_runtime_bench 2025-09-07T07:33:51.8711161Z inflating: build/bin/static_runtime_test 2025-09-07T07:33:51.8787318Z inflating: build/bin/Dict_test 2025-09-07T07:33:51.8840730Z inflating: build/bin/Dimname_test 2025-09-07T07:33:51.8906803Z inflating: build/bin/MaybeOwned_test 2025-09-07T07:33:51.8964578Z inflating: build/bin/NamedTensor_test 2025-09-07T07:33:51.9024020Z inflating: build/bin/apply_utils_test 2025-09-07T07:33:51.9084423Z inflating: build/bin/atest 2025-09-07T07:33:51.9148623Z inflating: build/bin/basic 2025-09-07T07:33:51.9204971Z inflating: build/bin/broadcast_test 2025-09-07T07:33:51.9256957Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:33:51.9316227Z inflating: build/bin/cpu_generator_test 2025-09-07T07:33:51.9370624Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:33:51.9459391Z inflating: build/bin/cpu_rng_test 2025-09-07T07:33:51.9511917Z inflating: build/bin/dlconvertor_test 2025-09-07T07:33:51.9570976Z inflating: build/bin/extension_backend_test 2025-09-07T07:33:51.9627246Z inflating: build/bin/half_test 2025-09-07T07:33:51.9724315Z inflating: build/bin/ivalue_test 2025-09-07T07:33:51.9775524Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:33:51.9830368Z inflating: build/bin/math_kernel_test 2025-09-07T07:33:51.9885323Z inflating: build/bin/memory_format_test 2025-09-07T07:33:51.9939765Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:33:51.9994048Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:33:52.0050834Z inflating: build/bin/native_test 2025-09-07T07:33:52.0102789Z inflating: build/bin/operator_name_test 2025-09-07T07:33:52.0154760Z inflating: build/bin/operators_test 2025-09-07T07:33:52.0207835Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:33:52.0274752Z inflating: build/bin/pow_test 2025-09-07T07:33:52.0334098Z inflating: build/bin/quantized_test 2025-09-07T07:33:52.0385179Z inflating: build/bin/reduce_ops_test 2025-09-07T07:33:52.0437249Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:33:52.0495056Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:33:52.0553515Z inflating: build/bin/scalar_test 2025-09-07T07:33:52.0606279Z inflating: build/bin/StorageUtils_test 2025-09-07T07:33:52.0659489Z inflating: build/bin/stride_properties_test 2025-09-07T07:33:52.0740737Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:33:52.0796722Z inflating: build/bin/test_parallel 2025-09-07T07:33:52.0848605Z inflating: build/bin/thread_init_test 2025-09-07T07:33:52.0904425Z inflating: build/bin/type_ptr_test 2025-09-07T07:33:52.0964875Z inflating: build/bin/type_test 2025-09-07T07:33:52.1018258Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:33:52.1069115Z inflating: build/bin/verify_api_visibility 2025-09-07T07:33:52.1138339Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:33:52.1190794Z inflating: build/bin/weakref_test 2025-09-07T07:33:52.1243203Z inflating: build/bin/wrapdim_test 2025-09-07T07:33:52.1296213Z inflating: build/bin/xla_tensor_test 2025-09-07T07:33:52.1356955Z inflating: build/bin/IListRef_test 2025-09-07T07:33:52.1467823Z inflating: build/bin/List_test 2025-09-07T07:33:52.1534781Z inflating: build/bin/KernelFunction_test 2025-09-07T07:33:52.1654906Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:33:52.1749888Z inflating: build/bin/kernel_function_test 2025-09-07T07:33:52.1851296Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:33:52.1976044Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:33:52.2037519Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:33:52.2132582Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:33:52.2185061Z inflating: build/bin/CppSignature_test 2025-09-07T07:33:52.2241562Z inflating: build/bin/backend_fallback_test 2025-09-07T07:33:52.2292031Z inflating: build/bin/op_allowlist_test 2025-09-07T07:33:52.2584526Z inflating: build/bin/op_registration_test 2025-09-07T07:33:52.2651330Z inflating: build/bin/inline_container_test 2025-09-07T07:33:52.3699653Z inflating: build/bin/test_jit 2025-09-07T07:33:52.3753731Z inflating: build/bin/FileStoreTest 2025-09-07T07:33:52.3807488Z inflating: build/bin/BackoffTest 2025-09-07T07:33:52.3865334Z inflating: build/bin/TCPStoreTest 2025-09-07T07:33:52.3920018Z inflating: build/bin/HashStoreTest 2025-09-07T07:33:52.4281013Z inflating: build/bin/test_nativert 2025-09-07T07:33:52.4284266Z inflating: build/bin/example_allreduce 2025-09-07T07:33:52.4351794Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:33:52.4408210Z inflating: build/bin/test_dist_autograd 2025-09-07T07:33:52.4477560Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:33:52.5556595Z inflating: build/bin/test_api 2025-09-07T07:33:52.5558790Z inflating: build/bin/parallel_benchmark 2025-09-07T07:33:52.5908500Z inflating: build/bin/test_lazy 2025-09-07T07:33:52.5912195Z inflating: build/bin/torch_shm_manager 2025-09-07T07:33:52.5912487Z creating: .additional_ci_files/ 2025-09-07T07:33:52.6006190Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:33:52.6357950Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:33:52.6421006Z ##[group]Run rm artifacts.zip 2025-09-07T07:33:52.6421280Z rm artifacts.zip 2025-09-07T07:33:52.6428083Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:52.6428398Z env: 2025-09-07T07:33:52.6428572Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:52.6428786Z ##[endgroup] 2025-09-07T07:33:52.7029709Z ##[group]Run df -H 2025-09-07T07:33:52.7029918Z df -H 2025-09-07T07:33:52.7035660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:52.7035973Z env: 2025-09-07T07:33:52.7036147Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:52.7036361Z ##[endgroup] 2025-09-07T07:33:52.7075809Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:33:52.7076141Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:33:52.7076429Z tmpfs 135G 0 135G 0% /dev/shm 2025-09-07T07:33:52.7076713Z tmpfs 54G 9.4M 54G 1% /run 2025-09-07T07:33:52.7076983Z /dev/nvme0n1p1 275G 47G 229G 17% / 2025-09-07T07:33:52.7077250Z tmpfs 135G 13k 135G 1% /tmp 2025-09-07T07:33:52.7077552Z /dev/nvme0n1p128 11M 1.5M 9.1M 14% /boot/efi 2025-09-07T07:33:52.7108863Z Prepare all required actions 2025-09-07T07:33:52.7109675Z Getting action download info 2025-09-07T07:33:52.8599707Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:33:52.8600009Z with: 2025-09-07T07:33:52.8600165Z env: 2025-09-07T07:33:52.8600334Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:52.8600540Z ##[endgroup] 2025-09-07T07:33:53.2493831Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:33:53.2494113Z with: 2025-09-07T07:33:53.2494271Z name: td_results 2025-09-07T07:33:53.2494466Z s3-bucket: gha-artifacts 2025-09-07T07:33:53.2494684Z region: us-east-1 2025-09-07T07:33:53.2494863Z env: 2025-09-07T07:33:53.2495028Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:53.2495234Z ##[endgroup] 2025-09-07T07:33:53.5971560Z (node:52076) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:33:53.5971984Z 2025-09-07T07:33:53.5972444Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:33:53.5972907Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:33:53.5973383Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:33:53.6896241Z Found 0 objects with prefix pytorch/pytorch/17525321311/td_results/ 2025-09-07T07:33:53.6903281Z Artifact download has finished successfully 2025-09-07T07:33:53.7134947Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:33:53.7135270Z mkdir -p .additional_ci_files 2025-09-07T07:33:53.7135641Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:33:53.7142888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:53.7143202Z env: 2025-09-07T07:33:53.7143376Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:53.7143590Z ##[endgroup] 2025-09-07T07:33:53.7189196Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:33:53.7267885Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:33:53.7268297Z .github/scripts/parse_ref.py 2025-09-07T07:33:53.7274256Z shell: /usr/bin/bash -e {0} 2025-09-07T07:33:53.7274480Z env: 2025-09-07T07:33:53.7274652Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:53.7274867Z ##[endgroup] 2025-09-07T07:33:53.7780780Z Setting output branch=main 2025-09-07T07:33:53.7898559Z Prepare all required actions 2025-09-07T07:33:53.7898920Z Getting action download info 2025-09-07T07:33:53.8945155Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:33:53.8945444Z with: 2025-09-07T07:33:53.8945781Z github-token: *** 2025-09-07T07:33:53.8958283Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]} 2025-09-07T07:33:53.8971288Z job-name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:53.8971808Z env: 2025-09-07T07:33:53.8971979Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:53.8972190Z ##[endgroup] 2025-09-07T07:33:53.9014290Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:33:53.9014549Z with: 2025-09-07T07:33:53.9014710Z shell: bash 2025-09-07T07:33:53.9014889Z timeout_minutes: 10 2025-09-07T07:33:53.9015091Z max_attempts: 5 2025-09-07T07:33:53.9015287Z retry_wait_seconds: 30 2025-09-07T07:33:53.9015972Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:33:53.9016689Z polling_interval_seconds: 1 2025-09-07T07:33:53.9016930Z warning_on_retry: true 2025-09-07T07:33:53.9017150Z continue_on_error: false 2025-09-07T07:33:53.9017364Z env: 2025-09-07T07:33:53.9017531Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:53.9017881Z GITHUB_TOKEN: *** 2025-09-07T07:33:53.9018074Z ##[endgroup] 2025-09-07T07:33:54.0497821Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:33:54.2636597Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:33:54.4541555Z Collecting requests==2.27.1 2025-09-07T07:33:54.4696429Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:33:54.6861186Z Collecting pyyaml==6.0.2 2025-09-07T07:33:54.6899397Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (720 kB) 2025-09-07T07:33:55.0909584Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:33:55.0948510Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:33:55.1467403Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:33:55.1476604Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:33:55.2338627Z Collecting certifi>=2017.4.17 2025-09-07T07:33:55.2375070Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:33:55.3488760Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:33:55.7150180Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:33:55.9698150Z Command completed after 1 attempt(s). 2025-09-07T07:33:55.9768589Z ##[group]Run set -x 2025-09-07T07:33:55.9768810Z set -x 2025-09-07T07:33:55.9768993Z  2025-09-07T07:33:55.9769309Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:33:55.9769717Z # in runner workspace 2025-09-07T07:33:55.9770046Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:33:55.9776744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:55.9777059Z env: 2025-09-07T07:33:55.9777229Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:55.9777442Z ##[endgroup] 2025-09-07T07:33:55.9800022Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:33:55.9964286Z Setting output branch=main 2025-09-07T07:33:56.0038303Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:33:56.0038670Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:33:56.0038957Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:33:56.0039199Z  2025-09-07T07:33:56.0039517Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:33:56.0039924Z # in runner workspace 2025-09-07T07:33:56.0040288Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:33:56.0040695Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:33:56.0040994Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:33:56.0053481Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]}" \ 2025-09-07T07:33:56.0066426Z  --selected-test-configs "" \ 2025-09-07T07:33:56.0066714Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:33:56.0066974Z  --tag "${TAG}" \ 2025-09-07T07:33:56.0067217Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:33:56.0067493Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:33:56.0067761Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:33:56.0073631Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:56.0073958Z env: 2025-09-07T07:33:56.0074135Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:56.0074610Z GITHUB_TOKEN: *** 2025-09-07T07:33:56.0075082Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:56.0075591Z PR_NUMBER: 2025-09-07T07:33:56.0075770Z TAG: 2025-09-07T07:33:56.0075939Z EVENT_NAME: schedule 2025-09-07T07:33:56.0076145Z SCHEDULE: 0 7 * * * 2025-09-07T07:33:56.0076342Z HEAD_BRANCH: main 2025-09-07T07:33:56.0076527Z ##[endgroup] 2025-09-07T07:33:56.0097897Z Workflow: inductor-perf-nightly-aarch64 2025-09-07T07:33:56.0098455Z Job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:56.1739672Z Setting output keep-going=True 2025-09-07T07:33:56.1739970Z Setting output ci-verbose-test-logs=False 2025-09-07T07:33:56.1740276Z Setting output ci-test-showlocals=False 2025-09-07T07:33:56.1740810Z Setting output ci-no-test-timeout=False 2025-09-07T07:33:56.1741095Z Setting output ci-no-td=False 2025-09-07T07:33:56.1741358Z Setting output ci-td-distributed=False 2025-09-07T07:33:56.1741663Z Setting output is-unstable=False 2025-09-07T07:33:56.1741927Z Setting output reenabled-issues= 2025-09-07T07:33:56.1754771Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]} 2025-09-07T07:33:56.1767514Z Setting output is-test-matrix-empty=False 2025-09-07T07:33:56.1855079Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:33:56.1855386Z echo "Filtered matrix:" 2025-09-07T07:33:56.1868016Z echo "{"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]}" 2025-09-07T07:33:56.1880621Z  2025-09-07T07:33:56.1880783Z echo 2025-09-07T07:33:56.1881010Z echo "Is the current job unstable? False" 2025-09-07T07:33:56.1881285Z  2025-09-07T07:33:56.1881449Z echo 2025-09-07T07:33:56.1881661Z echo "Is keep-going label set? True" 2025-09-07T07:33:56.1881928Z  2025-09-07T07:33:56.1882085Z echo 2025-09-07T07:33:56.1882278Z echo "Reenabled issues? " 2025-09-07T07:33:56.1888696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:56.1889020Z env: 2025-09-07T07:33:56.1889199Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:56.1889410Z ##[endgroup] 2025-09-07T07:33:56.1911233Z Filtered matrix: 2025-09-07T07:33:56.1926453Z {include: [{config: inductor_huggingface_perf_cpu_aarch64, shard: 1, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 2, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 3, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 4, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 5, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 6, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 7, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 8, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 9, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 1, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 2, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 3, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 4, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 5, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 6, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 7, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 8, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 9, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 10, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 11, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 12, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 13, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 14, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 15, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 1, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 2, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 3, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 4, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 5, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 6, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 7, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 8, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 9, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 10, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 11, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 12, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 13, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 14, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 15, num_shards: 15, runner: linux.arm64.m7g.metal}]} 2025-09-07T07:33:56.1938768Z 2025-09-07T07:33:56.1938865Z Is the current job unstable? False 2025-09-07T07:33:56.1939040Z 2025-09-07T07:33:56.1939128Z Is keep-going label set? True 2025-09-07T07:33:56.1939290Z 2025-09-07T07:33:56.1939365Z Reenabled issues? 2025-09-07T07:33:56.1992432Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:56.1992927Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:56.1998912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:56.1999237Z env: 2025-09-07T07:33:56.1999414Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:56.1999628Z JOB_TIMEOUT: 720 2025-09-07T07:33:56.1999808Z ##[endgroup] 2025-09-07T07:33:56.2126301Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:33:56.2126766Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:33:56.2138513Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:33:56.2144465Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:56.2144786Z env: 2025-09-07T07:33:56.2144963Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:56.2145178Z ##[endgroup] 2025-09-07T07:33:56.2277790Z ##[group]Run set -x 2025-09-07T07:33:56.2278139Z set -x 2025-09-07T07:33:56.2278321Z  2025-09-07T07:33:56.2278532Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:33:56.2278870Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:33:56.2279210Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:33:56.2279517Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:33:56.2279762Z else 2025-09-07T07:33:56.2279969Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:33:56.2280226Z fi 2025-09-07T07:33:56.2280389Z  2025-09-07T07:33:56.2280602Z # Leaving 1GB for the runner and other things 2025-09-07T07:33:56.2281299Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:33:56.2282048Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:33:56.2282663Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:33:56.2283119Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:33:56.2283473Z  2025-09-07T07:33:56.2283694Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:33:56.2283984Z  SHM_OPTS= 2025-09-07T07:33:56.2284184Z  JENKINS_USER= 2025-09-07T07:33:56.2284478Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:33:56.2284888Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:33:56.2285226Z  # when job is cancelled 2025-09-07T07:33:56.2285493Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:33:56.2285738Z else 2025-09-07T07:33:56.2285945Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:33:56.2286231Z  JENKINS_USER="--user jenkins" 2025-09-07T07:33:56.2286499Z  DOCKER_SHELL_CMD= 2025-09-07T07:33:56.2286708Z fi 2025-09-07T07:33:56.2286874Z  2025-09-07T07:33:56.2287158Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:33:56.2287615Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:33:56.2288136Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:33:56.2288594Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:33:56.2288878Z container_name=$(docker run \ 2025-09-07T07:33:56.2289140Z  ${GPU_FLAG:-} \ 2025-09-07T07:33:56.2289395Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:33:56.2289694Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:33:56.2289943Z  -e PR_NUMBER \ 2025-09-07T07:33:56.2290171Z  -e GITHUB_ACTIONS \ 2025-09-07T07:33:56.2290414Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:33:56.2290665Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:33:56.2290905Z  -e GITHUB_JOB \ 2025-09-07T07:33:56.2291129Z  -e GITHUB_RUN_ID \ 2025-09-07T07:33:56.2291361Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:33:56.2291607Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:33:56.2291853Z  -e JOB_ID \ 2025-09-07T07:33:56.2292065Z  -e JOB_NAME \ 2025-09-07T07:33:56.2292281Z  -e BASE_SHA \ 2025-09-07T07:33:56.2292487Z  -e BRANCH \ 2025-09-07T07:33:56.2292690Z  -e SHA1 \ 2025-09-07T07:33:56.2292897Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:33:56.2293145Z  -e IN_WHEEL_TEST \ 2025-09-07T07:33:56.2293374Z  -e SHARD_NUMBER \ 2025-09-07T07:33:56.2293611Z  -e TEST_CONFIG \ 2025-09-07T07:33:56.2293841Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:33:56.2294081Z  -e REENABLED_ISSUES \ 2025-09-07T07:33:56.2294330Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:33:56.2294774Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:33:56.2295042Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:33:56.2295283Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:33:56.2295509Z  -e NO_TD \ 2025-09-07T07:33:56.2295721Z  -e TD_DISTRIBUTED \ 2025-09-07T07:33:56.2295955Z  -e PR_LABELS \ 2025-09-07T07:33:56.2296200Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:33:56.2296477Z  -e SCCACHE_BUCKET \ 2025-09-07T07:33:56.2296711Z  -e SCCACHE_REGION \ 2025-09-07T07:33:56.2296938Z  -e XLA_CUDA \ 2025-09-07T07:33:56.2297178Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:33:56.2297482Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:33:56.2297906Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:33:56.2298222Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:33:56.2298517Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:33:56.2298800Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:33:56.2299093Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:33:56.2299370Z  -e DASHBOARD_TAG \ 2025-09-07T07:33:56.2299612Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:33:56.2299923Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:33:56.2300276Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:33:56.2300629Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:33:56.2300968Z  --security-opt seccomp=unconfined \ 2025-09-07T07:33:56.2301259Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:33:56.2301502Z  --ipc=host \ 2025-09-07T07:33:56.2301712Z  ${SHM_OPTS} \ 2025-09-07T07:33:56.2301924Z  --tty \ 2025-09-07T07:33:56.2302120Z  --detach \ 2025-09-07T07:33:56.2302338Z  --name="${container_name}" \ 2025-09-07T07:33:56.2302599Z  ${JENKINS_USER} \ 2025-09-07T07:33:56.2302908Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:33:56.2303249Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:33:56.2303513Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:33:56.2303744Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:33:56.2303961Z ) 2025-09-07T07:33:56.2304204Z # Propagate download.pytorch.org IP to container 2025-09-07T07:33:56.2304779Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:33:56.2305394Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:33:56.2305737Z  2025-09-07T07:33:56.2305956Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:33:56.2306459Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:33:56.2306897Z fi 2025-09-07T07:33:56.2307067Z  2025-09-07T07:33:56.2307492Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:33:56.2313530Z shell: /usr/bin/bash -e {0} 2025-09-07T07:33:56.2313763Z env: 2025-09-07T07:33:56.2313937Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:56.2314204Z BUILD_ENVIRONMENT: linux-jammy-aarch64-py3.10 2025-09-07T07:33:56.2314485Z PR_NUMBER: 2025-09-07T07:33:56.2314680Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:33:56.2314983Z GITHUB_WORKFLOW: inductor-perf-nightly-aarch64 2025-09-07T07:33:56.2315268Z GITHUB_JOB: test 2025-09-07T07:33:56.2315461Z GITHUB_RUN_ID: 17525321311 2025-09-07T07:33:56.2315682Z GITHUB_RUN_NUMBER: 706 2025-09-07T07:33:56.2315894Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:33:56.2316104Z JOB_ID: 49775354772 2025-09-07T07:33:56.2316575Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:56.2317085Z BRANCH: main 2025-09-07T07:33:56.2317449Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:33:56.2317780Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:33:56.2318094Z TEST_CONFIG: inductor_timm_perf_cpu_aarch64 2025-09-07T07:33:56.2318362Z SHARD_NUMBER: 14 2025-09-07T07:33:56.2318547Z NUM_TEST_SHARDS: 15 2025-09-07T07:33:56.2318746Z REENABLED_ISSUES: 2025-09-07T07:33:56.2318953Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:33:56.2319187Z VERBOSE_TEST_LOGS: False 2025-09-07T07:33:56.2319404Z TEST_SHOWLOCALS: False 2025-09-07T07:33:56.2319617Z NO_TEST_TIMEOUT: False 2025-09-07T07:33:56.2319818Z NO_TD: False 2025-09-07T07:33:56.2320001Z TD_DISTRIBUTED: False 2025-09-07T07:33:56.2320259Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:33:56.2320670Z SCCACHE_REGION: us-east-1 2025-09-07T07:33:56.2320888Z SHM_SIZE: 1g 2025-09-07T07:33:56.2321648Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:56.2322454Z XLA_CUDA: 2025-09-07T07:33:56.2322750Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:33:56.2323138Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:33:56.2323411Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:33:56.2323978Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:33:56.2324723Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:33:56.2325069Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:33:56.2325420Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:33:56.2325877Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T07:33:56.2326333Z ##[endgroup] 2025-09-07T07:33:56.2347823Z + [[ inductor_timm_perf_cpu_aarch64 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:33:56.2348170Z + [[ linux-jammy-aarch64-py3.10 == *onnx* ]] 2025-09-07T07:33:56.2348460Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:33:56.2350677Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:33:56.2368838Z + TOTAL_AVAILABLE_MEMORY_IN_GB='250.189 ' 2025-09-07T07:33:56.2369110Z + TOTAL_MEMORY_WITH_SWAP=253 2025-09-07T07:33:56.2369382Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:33:56.2369668Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:33:56.2369886Z + JENKINS_USER='--user jenkins' 2025-09-07T07:33:56.2370112Z + DOCKER_SHELL_CMD= 2025-09-07T07:33:56.2376481Z +++ nproc --ignore=2 2025-09-07T07:33:56.3020516Z ++ 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=62 -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=250g --memory-swap=253g --env-file=/tmp/github_env_17525321311 --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-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:35:17.3883062Z + container_name=8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T07:35:17.3886847Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:35:17.3888897Z + docker exec -i 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:35:17.5203697Z + echo DOCKER_CONTAINER_ID=8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T07:35:17.5204819Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:35:17.5208022Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:17.5210081Z + docker exec -t 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:35:17.9313714Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:35:18.1253955Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T07:35:18.1259546Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T07:35:18.1264718Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T07:35:18.1270049Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T07:35:18.1273996Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T07:35:18.1279186Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T07:35:18.1294162Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T07:35:18.1753682Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T07:35:18.1776994Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T07:35:18.1820160Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T07:35:19.2441552Z Installing collected packages: torch 2025-09-07T07:35:28.2088574Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T07:35:28.2089405Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:35:28.2089790Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:35:28.2090223Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T07:35:28.2090755Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:35:28.2091410Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:35:28.2092071Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:35:28.2092542Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:35:28.2829964Z + export TERM=vt100 2025-09-07T07:35:28.2830158Z + TERM=vt100 2025-09-07T07:35:28.2832752Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:28.2839695Z + source .ci/pytorch/common.sh 2025-09-07T07:35:28.2842392Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:35:28.2848538Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:35:28.2849227Z +++ declare -f -t trap_add 2025-09-07T07:35:28.2852924Z ++ set -ex -o pipefail 2025-09-07T07:35:28.2853167Z ++ [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:28.2853444Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:35:28.2856575Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:28.2862243Z + source .ci/pytorch/common-build.sh 2025-09-07T07:35:28.2863492Z ++ [[ linux-jammy-aarch64-py3.10 != *win-* ]] 2025-09-07T07:35:28.2868330Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:35:28.2874308Z +++ cd .ci/pytorch 2025-09-07T07:35:28.2874738Z +++ pwd -P 2025-09-07T07:35:28.2876457Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:35:28.2877124Z ++ [[ linux-jammy-aarch64-py3.10 == *-pch* ]] 2025-09-07T07:35:28.2877396Z ++ which sccache 2025-09-07T07:35:28.2891401Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:35:28.2891686Z ++ sccache --stop-server 2025-09-07T07:35:28.2913412Z ++ true 2025-09-07T07:35:28.2913621Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:35:28.2921428Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:35:28.2921691Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:35:28.2921911Z ++ shift 2025-09-07T07:35:28.2922092Z ++ for trap_add_name in "$@" 2025-09-07T07:35:28.2927618Z ++++ trap -p EXIT 2025-09-07T07:35:28.2929286Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:35:28.2929523Z ++++ extract_trap_cmd 2025-09-07T07:35:28.2929726Z ++++ printf '%s\n' '' 2025-09-07T07:35:28.2929944Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:35:28.2931458Z ++ trap -- ' 2025-09-07T07:35:28.2931690Z sccache_epilogue' EXIT 2025-09-07T07:35:28.2931904Z ++ [[ -n 1 ]] 2025-09-07T07:35:28.2932236Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:35:28.2932776Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:35:28.2933162Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:28.2933408Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:28.2933718Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:28.2934100Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:28.2934444Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:35:28.2934715Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:35:28.2934953Z ++ sccache --zero-stats 2025-09-07T07:35:28.5696374Z Statistics zeroed. 2025-09-07T07:35:28.5703899Z ++ which ccache 2025-09-07T07:35:28.5850258Z + [[ linux-jammy-aarch64-py3.10 != *rocm* ]] 2025-09-07T07:35:28.5850559Z + [[ linux-jammy-aarch64-py3.10 != *s390x* ]] 2025-09-07T07:35:28.5850862Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:35:28.5853268Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:35:28.5863492Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:35:28.5863764Z + trap_add cleanup_workspace EXIT 2025-09-07T07:35:28.5864016Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:35:28.5864243Z + shift 2025-09-07T07:35:28.5864422Z + for trap_add_name in "$@" 2025-09-07T07:35:28.5869722Z +++ trap -p EXIT 2025-09-07T07:35:28.5871698Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:35:28.5871977Z sccache_epilogue'\'' EXIT' 2025-09-07T07:35:28.5872216Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:35:28.5872447Z sccache_epilogue' EXIT 2025-09-07T07:35:28.5872650Z +++ printf '%s\n' ' 2025-09-07T07:35:28.5872840Z sccache_epilogue' 2025-09-07T07:35:28.5873048Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:35:28.5874063Z + trap -- ' 2025-09-07T07:35:28.5874255Z sccache_epilogue 2025-09-07T07:35:28.5874455Z cleanup_workspace' EXIT 2025-09-07T07:35:28.5874725Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:35:29.1401412Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:35:29.1417692Z + echo 'Environment variables:' 2025-09-07T07:35:29.1417936Z Environment variables: 2025-09-07T07:35:29.1418136Z + env 2025-09-07T07:35:29.1425077Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:29.1425696Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:29.1426004Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:29.1426523Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:29.1426767Z HOSTNAME=8dc5a7a82464 2025-09-07T07:35:29.1427265Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.1427805Z GITHUB_ACTION=__run_2 2025-09-07T07:35:29.1428026Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:29.1428281Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:29.1428514Z TEST_CONFIG=inductor_timm_perf_cpu_aarch64 2025-09-07T07:35:29.1428792Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:29.1429070Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:29.1429527Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:29.1429869Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:29.1430128Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:29.1430392Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:29.1430639Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.1430913Z XLA_CUDA= 2025-09-07T07:35:29.1431090Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:29.1431435Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:29.1433318Z *** 2025-09-07T07:35:29.1433516Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:29.1433754Z GITHUB_ACTIONS=true 2025-09-07T07:35:29.1434005Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:29.1434333Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.1434645Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.1435216Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:29.1435746Z UCC_HOME=/usr 2025-09-07T07:35:29.1435928Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:29.1436140Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:29.1436349Z SHARD_NUMBER=14 2025-09-07T07:35:29.1436539Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:29.1436752Z HOME=/var/lib/jenkins 2025-09-07T07:35:29.1436989Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:29.1437269Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:29.1437504Z UCX_COMMIT= 2025-09-07T07:35:29.1437672Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:29.1437861Z NUM_TEST_SHARDS=15 2025-09-07T07:35:29.1438045Z UCX_HOME=/usr 2025-09-07T07:35:29.1438521Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.1439329Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:29.1440117Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.1440815Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:29.1441246Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:29.1441790Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:29.1442361Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:29.1442579Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:29.1443117Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.1443701Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:29.1443926Z PR_NUMBER= 2025-09-07T07:35:29.1444119Z DESIRED_CUDA= 2025-09-07T07:35:29.1444303Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:29.1444515Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:29.1444795Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:29.1445088Z TERM=vt100 2025-09-07T07:35:29.1445260Z INSTALLED_VISION=yes 2025-09-07T07:35:29.1445464Z BRANCH=main 2025-09-07T07:35:29.1445647Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:29.1445870Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:29.1446105Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:29.1446725Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:29.1447233Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:29.1447483Z UCC_COMMIT= 2025-09-07T07:35:29.1447654Z REENABLED_ISSUES= 2025-09-07T07:35:29.1447830Z DOCS= 2025-09-07T07:35:29.1447979Z SHLVL=1 2025-09-07T07:35:29.1448136Z MAX_JOBS=62 2025-09-07T07:35:29.1448310Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:29.1448596Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.1448915Z GITHUB_REF_NAME=main 2025-09-07T07:35:29.1449234Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:29.1449594Z GITHUB_JOB=test 2025-09-07T07:35:29.1449774Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:29.1449975Z TD_DISTRIBUTED=False 2025-09-07T07:35:29.1450297Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:29.1450549Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:29.1450763Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:29.1450984Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:29.1451659Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:29.1452350Z GITHUB_BASE_REF= 2025-09-07T07:35:29.1452538Z INSTALLED_ACL=yes 2025-09-07T07:35:29.1452936Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T07:35:29.1453385Z CI=true 2025-09-07T07:35:29.1453566Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:29.1453847Z RUST_LOG=sccache::server=error 2025-09-07T07:35:29.1454067Z JOB_ID=49775354772 2025-09-07T07:35:29.1454249Z GITHUB_HEAD_REF= 2025-09-07T07:35:29.1454438Z GITHUB_ACTION_REF= 2025-09-07T07:35:29.1454680Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:29.1454980Z TEST_SHOWLOCALS=False 2025-09-07T07:35:29.1455229Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:29.1455530Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:29.1456065Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.1456599Z NO_TD=False 2025-09-07T07:35:29.1456788Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:29.1457044Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:29.1457299Z _=/usr/bin/env 2025-09-07T07:35:29.1457556Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:35:29.2121045Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T07:35:29.2121568Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T07:35:29.2122072Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T07:35:29.2122593Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T07:35:29.2122976Z + BUILD_DIR=build 2025-09-07T07:35:29.2123175Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:35:29.2123420Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:35:29.2123629Z + SHARD_NUMBER=14 2025-09-07T07:35:29.2123836Z + NUM_TEST_SHARDS=15 2025-09-07T07:35:29.2124057Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:29.2124322Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:29.2124553Z + export VALGRIND=ON 2025-09-07T07:35:29.2124746Z + VALGRIND=ON 2025-09-07T07:35:29.2124959Z + [[ linux-jammy-aarch64-py3.10 == *clang9* ]] 2025-09-07T07:35:29.2125261Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:29.2125521Z + detect_cuda_arch 2025-09-07T07:35:29.2125736Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:29.2126038Z + [[ linux-jammy-aarch64-py3.10 == *s390x* ]] 2025-09-07T07:35:29.2126295Z + [[ 0 == \1 ]] 2025-09-07T07:35:29.2126470Z + [[ True == \1 ]] 2025-09-07T07:35:29.2126681Z + [[ linux-jammy-aarch64-py3.10 != *bazel* ]] 2025-09-07T07:35:29.2126978Z ++ realpath build/custom_test_artifacts 2025-09-07T07:35:29.2132860Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:35:29.2133272Z + [[ -n '' ]] 2025-09-07T07:35:29.2133683Z + echo 'Environment variables' 2025-09-07T07:35:29.2133927Z Environment variables 2025-09-07T07:35:29.2134120Z + env 2025-09-07T07:35:29.2308404Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:29.2308785Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:29.2309050Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:29.2309491Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:29.2309732Z HOSTNAME=8dc5a7a82464 2025-09-07T07:35:29.2310226Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.2310753Z GITHUB_ACTION=__run_2 2025-09-07T07:35:29.2310972Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:29.2311419Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:29.2311649Z TEST_CONFIG=inductor_timm_perf_cpu_aarch64 2025-09-07T07:35:29.2311928Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:29.2312243Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:29.2312507Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:29.2312851Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:29.2313112Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:29.2313374Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:29.2313611Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.2313882Z XLA_CUDA= 2025-09-07T07:35:29.2314064Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:29.2314604Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:29.2314888Z *** 2025-09-07T07:35:29.2315058Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:29.2315289Z GITHUB_ACTIONS=true 2025-09-07T07:35:29.2315538Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:29.2315864Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.2316179Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.2316755Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:29.2317275Z UCC_HOME=/usr 2025-09-07T07:35:29.2317468Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:29.2317693Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:29.2317907Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:29.2318123Z SHARD_NUMBER=14 2025-09-07T07:35:29.2318315Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:29.2318525Z HOME=/var/lib/jenkins 2025-09-07T07:35:29.2318751Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:29.2319027Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:29.2319267Z UCX_COMMIT= 2025-09-07T07:35:29.2319434Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:29.2319620Z NUM_TEST_SHARDS=15 2025-09-07T07:35:29.2319807Z UCX_HOME=/usr 2025-09-07T07:35:29.2320282Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.2321094Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:29.2321885Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.2322582Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:29.2323008Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:29.2323544Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:29.2324111Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:29.2324328Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:29.2324865Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.2325454Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:29.2325670Z PR_NUMBER= 2025-09-07T07:35:29.2325838Z DESIRED_CUDA= 2025-09-07T07:35:29.2326025Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:29.2326224Z VALGRIND=ON 2025-09-07T07:35:29.2326405Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:29.2326688Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:29.2326978Z TERM=vt100 2025-09-07T07:35:29.2327371Z INSTALLED_VISION=yes 2025-09-07T07:35:29.2327585Z BRANCH=main 2025-09-07T07:35:29.2327761Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:29.2327984Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:29.2328214Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:29.2328652Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:29.2329143Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:29.2329387Z UCC_COMMIT= 2025-09-07T07:35:29.2329553Z REENABLED_ISSUES= 2025-09-07T07:35:29.2329731Z DOCS= 2025-09-07T07:35:29.2329886Z SHLVL=1 2025-09-07T07:35:29.2330041Z MAX_JOBS=62 2025-09-07T07:35:29.2330213Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:29.2330499Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.2330917Z GITHUB_REF_NAME=main 2025-09-07T07:35:29.2331243Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:29.2331601Z GITHUB_JOB=test 2025-09-07T07:35:29.2331790Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:29.2331996Z TD_DISTRIBUTED=False 2025-09-07T07:35:29.2332217Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:29.2332464Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:29.2332680Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:29.2332901Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:29.2333565Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:29.2334244Z GITHUB_BASE_REF= 2025-09-07T07:35:29.2334430Z INSTALLED_ACL=yes 2025-09-07T07:35:29.2334826Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T07:35:29.2335277Z CI=true 2025-09-07T07:35:29.2335455Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:29.2335726Z RUST_LOG=sccache::server=error 2025-09-07T07:35:29.2335949Z JOB_ID=49775354772 2025-09-07T07:35:29.2336135Z GITHUB_HEAD_REF= 2025-09-07T07:35:29.2336317Z GITHUB_ACTION_REF= 2025-09-07T07:35:29.2336563Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:29.2336859Z TEST_SHOWLOCALS=False 2025-09-07T07:35:29.2337108Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:29.2337400Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:29.2337932Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_1292da3d-11e3-46d2-8fff-b69391997262 2025-09-07T07:35:29.2338467Z NO_TD=False 2025-09-07T07:35:29.2338656Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:29.2338911Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:29.2339166Z _=/usr/bin/env 2025-09-07T07:35:29.2339349Z + echo 'Testing pytorch' 2025-09-07T07:35:29.2339559Z Testing pytorch 2025-09-07T07:35:29.2339758Z + export LANG=C.UTF-8 2025-09-07T07:35:29.2339961Z + LANG=C.UTF-8 2025-09-07T07:35:29.2340153Z + PR_NUMBER= 2025-09-07T07:35:29.2340386Z + [[ inductor_timm_perf_cpu_aarch64 == \d\e\f\a\u\l\t ]] 2025-09-07T07:35:29.2340753Z + [[ inductor_timm_perf_cpu_aarch64 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:35:29.2341112Z + [[ inductor_timm_perf_cpu_aarch64 == \s\l\o\w ]] 2025-09-07T07:35:29.2341446Z + [[ linux-jammy-aarch64-py3.10 == *slow-gradcheck* ]] 2025-09-07T07:35:29.2341766Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:29.2342060Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:29.2342346Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:29.2342655Z + [[ inductor_timm_perf_cpu_aarch64 == *crossref* ]] 2025-09-07T07:35:29.2342971Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:29.2343261Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:29.2343556Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:29.2343843Z + pip_install ninja==1.10.2 2025-09-07T07:35:29.2344158Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:35:29.2344557Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:35:31.3174751Z Collecting ninja==1.10.2 2025-09-07T07:35:31.3349220Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (5.0 kB) 2025-09-07T07:35:31.3608872Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (119 kB) 2025-09-07T07:35:32.3945633Z Installing collected packages: ninja 2025-09-07T07:35:32.3946824Z Attempting uninstall: ninja 2025-09-07T07:35:32.3958720Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:35:32.3980792Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:35:32.4041921Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:35:32.4566904Z Successfully installed ninja-1.10.2 2025-09-07T07:35:32.5252887Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:32.5254601Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:32.5255444Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:32.5255730Z + export VALGRIND=OFF 2025-09-07T07:35:32.5255931Z + VALGRIND=OFF 2025-09-07T07:35:32.5256137Z + [[ linux-jammy-aarch64-py3.10 == *asan* ]] 2025-09-07T07:35:32.5256437Z + [[ linux-jammy-aarch64-py3.10 == *-debug* ]] 2025-09-07T07:35:32.5256746Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:32.5257192Z + echo 'We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass' 2025-09-07T07:35:32.5257747Z We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass 2025-09-07T07:35:32.5258131Z + cd test 2025-09-07T07:35:32.5258424Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:35:32.8567594Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:35:32.8568750Z import pynvml # type: ignore[import] 2025-09-07T07:35:33.9591100Z + [[ inductor_timm_perf_cpu_aarch64 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:35:33.9591546Z + [[ inductor_timm_perf_cpu_aarch64 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:35:33.9591995Z + [[ inductor_timm_perf_cpu_aarch64 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:35:33.9594753Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:35:33.9595285Z + [[ inductor_timm_perf_cpu_aarch64 == *pr_time_benchmarks* ]] 2025-09-07T07:35:33.9595672Z + [[ inductor_timm_perf_cpu_aarch64 == *dynamo_eager* ]] 2025-09-07T07:35:33.9596040Z + [[ inductor_timm_perf_cpu_aarch64 == *aot_eager* ]] 2025-09-07T07:35:33.9596379Z + [[ inductor_timm_perf_cpu_aarch64 == *aot_inductor* ]] 2025-09-07T07:35:33.9596761Z + [[ inductor_timm_perf_cpu_aarch64 == *max_autotune_inductor* ]] 2025-09-07T07:35:33.9597146Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor* ]] 2025-09-07T07:35:33.9597458Z + [[ inductor_timm_perf_cpu_aarch64 != *perf* ]] 2025-09-07T07:35:33.9597774Z + [[ inductor_timm_perf_cpu_aarch64 == *dynamic* ]] 2025-09-07T07:35:33.9598089Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:33.9598418Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:35:33.9617744Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:33.9618061Z + [[ linux-jammy-aarch64-py3.10 == *-bazel-* ]] 2025-09-07T07:35:33.9620582Z + cd test 2025-09-07T07:35:33.9621143Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:35:34.2823753Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:35:34.2824947Z import pynvml # type: ignore[import] 2025-09-07T07:35:35.1377661Z PyTorch built with: 2025-09-07T07:35:35.1377891Z - GCC 11.4 2025-09-07T07:35:35.1378078Z - C++ Version: 201703 2025-09-07T07:35:35.1378412Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:35.1378791Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:35.1379077Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:35:35.1379354Z - NNPACK is enabled 2025-09-07T07:35:35.1391056Z - CPU capability usage: SVE256 2025-09-07T07:35:35.1395286Z - Build settings: BLAS_INFO=open, 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_PYTORCH_QNNPACK -DAT_BUILD_ARM_VEC256_WITH_SLEEF -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=open, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EIGEN_FOR_BLAS=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=OFF, USE_MKLDNN=1, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T07:35:35.1399765Z 2025-09-07T07:35:35.3490470Z + cd test 2025-09-07T07:35:35.3490841Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:35:35.6741147Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:35:35.6742416Z import pynvml # type: ignore[import] 2025-09-07T07:35:36.5427899Z ATen/Parallel: 2025-09-07T07:35:36.5428161Z at::get_num_threads() : 64 2025-09-07T07:35:36.5428400Z at::get_num_interop_threads() : 64 2025-09-07T07:35:36.5428661Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:36.5428908Z omp_get_max_threads() : 64 2025-09-07T07:35:36.5429240Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:36.5429620Z std::thread::hardware_concurrency() : 64 2025-09-07T07:35:36.5429886Z Environment variables: 2025-09-07T07:35:36.5430129Z OMP_NUM_THREADS : [not set] 2025-09-07T07:35:36.5430366Z ATen parallel backend: OpenMP 2025-09-07T07:35:36.5430524Z 2025-09-07T07:35:36.7593034Z + [[ inductor_timm_perf_cpu_aarch64 == *numpy_2* ]] 2025-09-07T07:35:36.7593383Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:36.7593755Z + [[ inductor_timm_perf_cpu_aarch64 != *perf_cpu_aarch64* ]] 2025-09-07T07:35:36.7594123Z + [[ inductor_timm_perf_cpu_aarch64 == *backward* ]] 2025-09-07T07:35:36.7594436Z + [[ inductor_timm_perf_cpu_aarch64 == *xla* ]] 2025-09-07T07:35:36.7594735Z + [[ inductor_timm_perf_cpu_aarch64 == *vllm* ]] 2025-09-07T07:35:36.7595055Z + [[ inductor_timm_perf_cpu_aarch64 == *executorch* ]] 2025-09-07T07:35:36.7595410Z + [[ inductor_timm_perf_cpu_aarch64 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:35:36.7595764Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:36.7596106Z + [[ inductor_timm_perf_cpu_aarch64 == distributed ]] 2025-09-07T07:35:36.7596472Z + [[ inductor_timm_perf_cpu_aarch64 == *operator_benchmark* ]] 2025-09-07T07:35:36.7596882Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor_distributed* ]] 2025-09-07T07:35:36.7597278Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor-halide* ]] 2025-09-07T07:35:36.7597954Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor-triton-cpu* ]] 2025-09-07T07:35:36.7598400Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor-micro-benchmark* ]] 2025-09-07T07:35:36.7598798Z + [[ inductor_timm_perf_cpu_aarch64 == *huggingface* ]] 2025-09-07T07:35:36.7599123Z + [[ inductor_timm_perf_cpu_aarch64 == *timm* ]] 2025-09-07T07:35:36.7599398Z + install_torchvision 2025-09-07T07:35:36.7599603Z + local orig_preload 2025-09-07T07:35:36.7599797Z + local commit 2025-09-07T07:35:36.7599991Z ++ get_pinned_commit vision 2025-09-07T07:35:36.7600234Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:35:36.7619408Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:36.7619687Z + orig_preload= 2025-09-07T07:35:36.7619877Z + '[' -n '' ']' 2025-09-07T07:35:36.7620277Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:36.7620858Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:35:36.7621633Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:36.7622117Z + local wheel_dir=dist/vision 2025-09-07T07:35:36.7622340Z + local found_whl=0 2025-09-07T07:35:36.7622545Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:36.7622940Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl ]] 2025-09-07T07:35:36.7623335Z + found_whl=1 2025-09-07T07:35:36.7623507Z + break 2025-09-07T07:35:36.7623662Z + '[' 1 == 0 ']' 2025-09-07T07:35:36.7623857Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:36.7624281Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:36.7624863Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl') 2025-09-07T07:35:36.7625261Z + local args 2025-09-07T07:35:36.7625605Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl == *\ * ]] 2025-09-07T07:35:36.7626028Z + for path in "${args[@]}" 2025-09-07T07:35:36.7626441Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl' 2025-09-07T07:35:36.7627049Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:36.7627738Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.1329188Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.1425722Z Installing collected packages: torchvision 2025-09-07T07:35:37.6700479Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:35:37.7064271Z + '[' -n '' ']' 2025-09-07T07:35:37.7064455Z + id=13 2025-09-07T07:35:37.7064647Z + test_dynamo_benchmark timm_models 13 2025-09-07T07:35:37.7067922Z ++ pwd 2025-09-07T07:35:37.7069763Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:37.7070111Z + local suite=timm_models 2025-09-07T07:35:37.7070329Z + shift 2025-09-07T07:35:37.7070492Z + local shard_id=13 2025-09-07T07:35:37.7070682Z + shift 2025-09-07T07:35:37.7070911Z + [[ inductor_timm_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:37.7071246Z + [[ inductor_timm_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:37.7071557Z + [[ inductor_timm_perf_cpu_aarch64 == *b200* ]] 2025-09-07T07:35:37.7071893Z + test_single_dynamo_benchmark dashboard timm_models 13 2025-09-07T07:35:37.7073397Z ++ pwd 2025-09-07T07:35:37.7075159Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:37.7075558Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:37.7093884Z + local name=dashboard 2025-09-07T07:35:37.7094081Z + shift 2025-09-07T07:35:37.7094254Z + local suite=timm_models 2025-09-07T07:35:37.7094458Z + shift 2025-09-07T07:35:37.7094637Z + local shard_id=13 2025-09-07T07:35:37.7094815Z + shift 2025-09-07T07:35:37.7094979Z + partition_flags=() 2025-09-07T07:35:37.7095187Z + local partition_flags 2025-09-07T07:35:37.7095386Z + [[ -n 15 ]] 2025-09-07T07:35:37.7095553Z + [[ -n 13 ]] 2025-09-07T07:35:37.7096158Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:35:37.7096637Z + [[ inductor_timm_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:37.7096970Z + [[ inductor_timm_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:37.7097420Z + test_perf_for_dashboard timm_models --device cpu --total-partitions 15 --partition-id 13 2025-09-07T07:35:37.7098053Z ++ pwd 2025-09-07T07:35:37.7099713Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:37.7100126Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:37.7111595Z + local suite=timm_models 2025-09-07T07:35:37.7111811Z + shift 2025-09-07T07:35:37.7111984Z + local backend=inductor 2025-09-07T07:35:37.7112512Z + modes=() 2025-09-07T07:35:37.7112677Z + local modes 2025-09-07T07:35:37.7113231Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *training-true* ]] 2025-09-07T07:35:37.7114222Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *inference-true* ]] 2025-09-07T07:35:37.7114835Z + modes+=(inference) 2025-09-07T07:35:37.7115055Z + targets=('accuracy' 'performance') 2025-09-07T07:35:37.7115299Z + local targets 2025-09-07T07:35:37.7115482Z + local device=cuda 2025-09-07T07:35:37.7115702Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:37.7116024Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu_x86_zen* ]] 2025-09-07T07:35:37.7116353Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu_x86* ]] 2025-09-07T07:35:37.7116686Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu_aarch64* ]] 2025-09-07T07:35:37.7116970Z + device=cpu_aarch64 2025-09-07T07:35:37.7117182Z + test_inductor_set_cpu_affinity 2025-09-07T07:35:37.7117450Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:35:37.7290576Z + JEMALLOC_LIB=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2 2025-09-07T07:35:37.7290987Z + export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:37.7291392Z + LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:37.7291982Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:37.7292755Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:37.7293294Z + [[ inductor_timm_perf_cpu_aarch64 != *aarch64* ]] 2025-09-07T07:35:37.7294266Z ++ nproc 2025-09-07T07:35:37.7314569Z + cpus=64 2025-09-07T07:35:37.7319699Z ++ lscpu 2025-09-07T07:35:37.7320575Z ++ grep 'Thread(s) per core:' 2025-09-07T07:35:37.7321634Z ++ awk '{print $4}' 2025-09-07T07:35:37.7551203Z + thread_per_core=1 2025-09-07T07:35:37.7551559Z + cores=64 2025-09-07T07:35:37.7551812Z + [[ inductor_timm_perf_cpu_aarch64 == *aarch64* ]] 2025-09-07T07:35:37.7552107Z + [[ 64 -gt 16 ]] 2025-09-07T07:35:37.7552290Z + cores=16 2025-09-07T07:35:37.7552466Z + export OMP_NUM_THREADS=16 2025-09-07T07:35:37.7552691Z + OMP_NUM_THREADS=16 2025-09-07T07:35:37.7555435Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:35:37.7860775Z + start_cpu=0 2025-09-07T07:35:37.7863556Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:35:37.8158016Z + end_cpu=62 2025-09-07T07:35:37.8158220Z + export 'TASKSET=taskset -c 0-62' 2025-09-07T07:35:37.8158476Z + TASKSET='taskset -c 0-62' 2025-09-07T07:35:37.8158712Z + for mode in "${modes[@]}" 2025-09-07T07:35:37.8158941Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:35:37.8159207Z + [[ cpu_aarch64 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:35:37.8159450Z + dtype=bfloat16 2025-09-07T07:35:37.8159650Z + for target in "${targets[@]}" 2025-09-07T07:35:37.8159892Z + target_flag=('--accuracy') 2025-09-07T07:35:37.8160127Z + local target_flag 2025-09-07T07:35:37.8160339Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:35:37.8160604Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:35:37.8160879Z + target_flag+=(--no-translation-validation) 2025-09-07T07:35:37.8161814Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:35:37.8162814Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:35:37.8164600Z + taskset -c 0-62 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --inference --bfloat16 --backend inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:35:38.6889213Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:35:38.6890608Z import pynvml # type: ignore[import] 2025-09-07T07:35:42.8571019Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:35:42.8572171Z import pynvml # type: ignore[import] 2025-09-07T07:35:46.1001330Z 2025-09-07T07:35:46.2619861Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:35:46.2620116Z 2025-09-07T07:35:46.3204234Z model.safetensors: 0% 0.00/21.4M [00:00 2025-09-07T07:39:04.4841900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4842146Z 2025-09-07T07:39:04.4842243Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4842564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4843083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4843795Z return mod(*inputs) 2025-09-07T07:39:04.4844267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4844779Z x = self.forward_features(x) 2025-09-07T07:39:04.4845307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4845838Z x = self.blocks(x) 2025-09-07T07:39:04.4846316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.4846841Z x = self.conv_pw(x) 2025-09-07T07:39:04.4847294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4847946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4848508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4849073Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4849314Z 2025-09-07T07:39:04.4849412Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4849694Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4850007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4850515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4850976Z return mod(*inputs) 2025-09-07T07:39:04.4851434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4851945Z x = self.forward_features(x) 2025-09-07T07:39:04.4852469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4853001Z x = self.blocks(x) 2025-09-07T07:39:04.4853485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.4854008Z x = self.conv_pw(x) 2025-09-07T07:39:04.4854456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.4854950Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.4855099Z 2025-09-07T07:39:04.4855234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4855746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4856203Z return mod(*inputs) 2025-09-07T07:39:04.4856657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4857167Z x = self.forward_features(x) 2025-09-07T07:39:04.4857688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4858223Z x = self.blocks(x) 2025-09-07T07:39:04.4858708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.4859230Z x = self.bn1(x) 2025-09-07T07:39:04.4859649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.4860121Z x = self.act(x) 2025-09-07T07:39:04.4860240Z 2025-09-07T07:39:04.4860378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4860893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4861348Z return mod(*inputs) 2025-09-07T07:39:04.4861812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4862324Z x = self.forward_features(x) 2025-09-07T07:39:04.4862845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4863729Z x = self.blocks(x) 2025-09-07T07:39:04.4864218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4864739Z x = self.conv_dw(x) 2025-09-07T07:39:04.4865189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4865738Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4866296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4866859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4867549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.4868034Z return conv2d_same( 2025-09-07T07:39:04.4868502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.4869050Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.4869576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.4870171Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.4870745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.4871251Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.4871465Z 2025-09-07T07:39:04.4871600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4872115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4872579Z return mod(*inputs) 2025-09-07T07:39:04.4873036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4873545Z x = self.forward_features(x) 2025-09-07T07:39:04.4874072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4874605Z x = self.blocks(x) 2025-09-07T07:39:04.4875088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4875611Z x = self.conv_dw(x) 2025-09-07T07:39:04.4876057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4876612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4877177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4877745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4878292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.4878779Z return conv2d_same( 2025-09-07T07:39:04.4879246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.4879842Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.4880109Z 2025-09-07T07:39:04.4880248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4880760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4881221Z return mod(*inputs) 2025-09-07T07:39:04.4881679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4882188Z x = self.forward_features(x) 2025-09-07T07:39:04.4882714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4883357Z x = self.blocks(x) 2025-09-07T07:39:04.4883847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4884368Z x = self.conv_dw(x) 2025-09-07T07:39:04.4884818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4885366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4885929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4886498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4887049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.4887632Z return conv2d_same( 2025-09-07T07:39:04.4888094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.4888652Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.4889176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.4889765Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.4890341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.4890843Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.4891065Z 2025-09-07T07:39:04.4891201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4891715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4892177Z return mod(*inputs) 2025-09-07T07:39:04.4892629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4893139Z x = self.forward_features(x) 2025-09-07T07:39:04.4893665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4894196Z x = self.blocks(x) 2025-09-07T07:39:04.4894678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4895195Z x = self.conv_dw(x) 2025-09-07T07:39:04.4895642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4896194Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4896760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4897324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4897875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.4898362Z return conv2d_same( 2025-09-07T07:39:04.4898825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.4899423Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.4899689Z 2025-09-07T07:39:04.4899825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4900337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4900796Z return mod(*inputs) 2025-09-07T07:39:04.4901250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4901763Z x = self.forward_features(x) 2025-09-07T07:39:04.4902284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4902816Z x = self.blocks(x) 2025-09-07T07:39:04.4903419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4903951Z x = self.conv_dw(x) 2025-09-07T07:39:04.4904399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4904951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4905520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4906080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4906629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.4907209Z return conv2d_same( 2025-09-07T07:39:04.4907672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.4908229Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.4908749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.4909335Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.4909905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.4910420Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.4910640Z 2025-09-07T07:39:04.4910775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4911292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4911750Z return mod(*inputs) 2025-09-07T07:39:04.4912209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4912720Z x = self.forward_features(x) 2025-09-07T07:39:04.4913243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4913776Z x = self.blocks(x) 2025-09-07T07:39:04.4914253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4914776Z x = self.conv_dw(x) 2025-09-07T07:39:04.4915225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4915780Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4916342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4916904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4917453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.4917941Z return conv2d_same( 2025-09-07T07:39:04.4918402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.4918995Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.4919264Z 2025-09-07T07:39:04.4919361Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4919643Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4919925Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4920240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4920750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4921214Z return mod(*inputs) 2025-09-07T07:39:04.4921673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4922181Z x = self.forward_features(x) 2025-09-07T07:39:04.4922812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4923351Z x = self.blocks(x) 2025-09-07T07:39:04.4923832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4924355Z x = self.conv_dw(x) 2025-09-07T07:39:04.4924806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.4925294Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.4925442Z 2025-09-07T07:39:04.4926390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4926907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4927471Z return mod(*inputs) 2025-09-07T07:39:04.4927921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4928430Z x = self.forward_features(x) 2025-09-07T07:39:04.4928958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4929492Z x = self.blocks(x) 2025-09-07T07:39:04.4929972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.4930483Z x = self.bn2(x) 2025-09-07T07:39:04.4930913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.4931384Z x = self.act(x) 2025-09-07T07:39:04.4931503Z 2025-09-07T07:39:04.4931642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4932160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4932618Z return mod(*inputs) 2025-09-07T07:39:04.4933080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4933585Z x = self.forward_features(x) 2025-09-07T07:39:04.4934106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4934633Z x = self.blocks(x) 2025-09-07T07:39:04.4935115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.4935638Z x = self.conv_pwl(x) 2025-09-07T07:39:04.4936097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4936646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4937216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4937783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4938018Z 2025-09-07T07:39:04.4938161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4938676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4939133Z return mod(*inputs) 2025-09-07T07:39:04.4939589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4940093Z x = self.forward_features(x) 2025-09-07T07:39:04.4940614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4941147Z x = self.blocks(x) 2025-09-07T07:39:04.4941624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.4942154Z x = self.conv_pwl(x) 2025-09-07T07:39:04.4942610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4943275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4943849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4944416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4944653Z 2025-09-07T07:39:04.4944750Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4945031Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4945348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4945857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4946318Z return mod(*inputs) 2025-09-07T07:39:04.4946858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4947367Z x = self.forward_features(x) 2025-09-07T07:39:04.4947890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4948421Z x = self.blocks(x) 2025-09-07T07:39:04.4948906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.4949429Z x = self.conv_pwl(x) 2025-09-07T07:39:04.4949884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.4950374Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.4950524Z 2025-09-07T07:39:04.4950659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4951172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4951636Z return mod(*inputs) 2025-09-07T07:39:04.4952087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4952595Z x = self.forward_features(x) 2025-09-07T07:39:04.4953121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4953649Z x = self.blocks(x) 2025-09-07T07:39:04.4954130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:04.4954644Z x = self.bn3(x) 2025-09-07T07:39:04.4955064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.4955538Z x = F.batch_norm( 2025-09-07T07:39:04.4955666Z 2025-09-07T07:39:04.4955802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4956311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4956774Z return mod(*inputs) 2025-09-07T07:39:04.4957232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4957746Z x = self.forward_features(x) 2025-09-07T07:39:04.4958267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4958792Z x = self.blocks(x) 2025-09-07T07:39:04.4959271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.4959792Z x = self.conv_pw(x) 2025-09-07T07:39:04.4960245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4960800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4961359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4961933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4962169Z 2025-09-07T07:39:04.4962305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4962930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4963487Z return mod(*inputs) 2025-09-07T07:39:04.4963950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4964456Z x = self.forward_features(x) 2025-09-07T07:39:04.4964981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4965509Z x = self.blocks(x) 2025-09-07T07:39:04.4965985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.4966662Z x = self.conv_pw(x) 2025-09-07T07:39:04.4967109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4967664Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4968228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4968796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4969033Z 2025-09-07T07:39:04.4969131Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4969410Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.4969722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4970227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4970687Z return mod(*inputs) 2025-09-07T07:39:04.4971143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4971655Z x = self.forward_features(x) 2025-09-07T07:39:04.4972177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4972713Z x = self.blocks(x) 2025-09-07T07:39:04.4973196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.4973716Z x = self.conv_pw(x) 2025-09-07T07:39:04.4974167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.4974658Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.4974805Z 2025-09-07T07:39:04.4974941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4975451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4975911Z return mod(*inputs) 2025-09-07T07:39:04.4976368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4976876Z x = self.forward_features(x) 2025-09-07T07:39:04.4977405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4977939Z x = self.blocks(x) 2025-09-07T07:39:04.4978418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.4978932Z x = self.bn1(x) 2025-09-07T07:39:04.4979354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.4979840Z x = self.act(x) 2025-09-07T07:39:04.4979960Z 2025-09-07T07:39:04.4980099Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4980612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4981077Z return mod(*inputs) 2025-09-07T07:39:04.4981535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4982043Z x = self.forward_features(x) 2025-09-07T07:39:04.4982736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4983277Z x = self.blocks(x) 2025-09-07T07:39:04.4983756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.4984277Z x = self.conv_dw(x) 2025-09-07T07:39:04.4984407Z 2025-09-07T07:39:04.4984544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4985053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4985508Z return mod(*inputs) 2025-09-07T07:39:04.4985965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4986586Z x = self.forward_features(x) 2025-09-07T07:39:04.4987103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4987637Z x = self.blocks(x) 2025-09-07T07:39:04.4988118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.4988635Z x = self.bn2(x) 2025-09-07T07:39:04.4989054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.4989519Z x = self.act(x) 2025-09-07T07:39:04.4989640Z 2025-09-07T07:39:04.4989774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4990287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4990745Z return mod(*inputs) 2025-09-07T07:39:04.4991201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4991707Z x = self.forward_features(x) 2025-09-07T07:39:04.4992235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4992770Z x = self.blocks(x) 2025-09-07T07:39:04.4993252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.4993773Z x = self.conv_pwl(x) 2025-09-07T07:39:04.4994225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.4994776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4995336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.4995899Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.4996137Z 2025-09-07T07:39:04.4996273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.4996787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.4997244Z return mod(*inputs) 2025-09-07T07:39:04.4997700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.4998203Z x = self.forward_features(x) 2025-09-07T07:39:04.4998729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.4999261Z x = self.blocks(x) 2025-09-07T07:39:04.4999745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5000271Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5000725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5001282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5001846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5002530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5002772Z 2025-09-07T07:39:04.5002870Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5003153Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5003470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5003985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5004443Z return mod(*inputs) 2025-09-07T07:39:04.5004894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5005401Z x = self.forward_features(x) 2025-09-07T07:39:04.5006009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5006536Z x = self.blocks(x) 2025-09-07T07:39:04.5007017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5007544Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5007997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5008492Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5008636Z 2025-09-07T07:39:04.5008773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5009281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5009739Z return mod(*inputs) 2025-09-07T07:39:04.5010192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5010703Z x = self.forward_features(x) 2025-09-07T07:39:04.5011224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5011755Z x = self.blocks(x) 2025-09-07T07:39:04.5012239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5012774Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5012947Z 2025-09-07T07:39:04.5013084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5013598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5014054Z return mod(*inputs) 2025-09-07T07:39:04.5014511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5015018Z x = self.forward_features(x) 2025-09-07T07:39:04.5015542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5016077Z x = self.blocks(x) 2025-09-07T07:39:04.5016559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5017085Z x = self.conv_pw(x) 2025-09-07T07:39:04.5017215Z 2025-09-07T07:39:04.5017351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5017862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5018317Z return mod(*inputs) 2025-09-07T07:39:04.5018774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5019281Z x = self.forward_features(x) 2025-09-07T07:39:04.5019801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5020335Z x = self.blocks(x) 2025-09-07T07:39:04.5020819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5021341Z x = self.bn1(x) 2025-09-07T07:39:04.5021880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5022361Z x = F.batch_norm( 2025-09-07T07:39:04.5022491Z 2025-09-07T07:39:04.5022623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5023139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5023592Z return mod(*inputs) 2025-09-07T07:39:04.5024046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5024552Z x = self.forward_features(x) 2025-09-07T07:39:04.5025072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5025690Z x = self.blocks(x) 2025-09-07T07:39:04.5026172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5026686Z x = self.bn1(x) 2025-09-07T07:39:04.5027111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5027581Z x = self.act(x) 2025-09-07T07:39:04.5027700Z 2025-09-07T07:39:04.5027835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5028345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5028801Z return mod(*inputs) 2025-09-07T07:39:04.5029259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5029765Z x = self.forward_features(x) 2025-09-07T07:39:04.5030289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5030819Z x = self.blocks(x) 2025-09-07T07:39:04.5031305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5031828Z x = self.conv_dw(x) 2025-09-07T07:39:04.5032276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5032825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5033390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5033950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5034499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5034985Z return conv2d_same( 2025-09-07T07:39:04.5035449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5036004Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5036529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5037120Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5037693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5038198Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5038419Z 2025-09-07T07:39:04.5038556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5039069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5039527Z return mod(*inputs) 2025-09-07T07:39:04.5039983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5040494Z x = self.forward_features(x) 2025-09-07T07:39:04.5041131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5041674Z x = self.blocks(x) 2025-09-07T07:39:04.5042151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5042668Z x = self.conv_dw(x) 2025-09-07T07:39:04.5043114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5043666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5044229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5044794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5045437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5045925Z return conv2d_same( 2025-09-07T07:39:04.5046394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5046991Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5047255Z 2025-09-07T07:39:04.5047391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5047900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5048356Z return mod(*inputs) 2025-09-07T07:39:04.5048813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5049319Z x = self.forward_features(x) 2025-09-07T07:39:04.5049846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5050381Z x = self.blocks(x) 2025-09-07T07:39:04.5050860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5051387Z x = self.conv_dw(x) 2025-09-07T07:39:04.5051832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5052387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5052953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5053513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5054057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5054537Z return conv2d_same( 2025-09-07T07:39:04.5054998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5055555Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5056081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5056665Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5057238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5057746Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5057964Z 2025-09-07T07:39:04.5058100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5058613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5059068Z return mod(*inputs) 2025-09-07T07:39:04.5059525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5060037Z x = self.forward_features(x) 2025-09-07T07:39:04.5060558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5061224Z x = self.blocks(x) 2025-09-07T07:39:04.5061715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5062238Z x = self.conv_dw(x) 2025-09-07T07:39:04.5062689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5063240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5063877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5064437Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5065145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5065629Z return conv2d_same( 2025-09-07T07:39:04.5066090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5066681Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5066949Z 2025-09-07T07:39:04.5067083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5067594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5068053Z return mod(*inputs) 2025-09-07T07:39:04.5068508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5069008Z x = self.forward_features(x) 2025-09-07T07:39:04.5069529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5070060Z x = self.blocks(x) 2025-09-07T07:39:04.5070549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5071068Z x = self.conv_dw(x) 2025-09-07T07:39:04.5071524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5072074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5072636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5073196Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5073742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5074226Z return conv2d_same( 2025-09-07T07:39:04.5074687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5075242Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5075759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5076348Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5076920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5077426Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5077640Z 2025-09-07T07:39:04.5077778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5078288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5078744Z return mod(*inputs) 2025-09-07T07:39:04.5079205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5079717Z x = self.forward_features(x) 2025-09-07T07:39:04.5080240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5080932Z x = self.blocks(x) 2025-09-07T07:39:04.5081454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5081974Z x = self.conv_dw(x) 2025-09-07T07:39:04.5082421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5082971Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5083536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5084098Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5084650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5085235Z return conv2d_same( 2025-09-07T07:39:04.5085696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5086294Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5086563Z 2025-09-07T07:39:04.5086699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5087212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5087669Z return mod(*inputs) 2025-09-07T07:39:04.5088123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5088631Z x = self.forward_features(x) 2025-09-07T07:39:04.5089155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5089687Z x = self.blocks(x) 2025-09-07T07:39:04.5090166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5090687Z x = self.conv_dw(x) 2025-09-07T07:39:04.5091138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5091690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5092254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5092813Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5093358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5093843Z return conv2d_same( 2025-09-07T07:39:04.5094305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5094858Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5095380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5095969Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5096544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5097050Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5097267Z 2025-09-07T07:39:04.5097399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5097913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5098369Z return mod(*inputs) 2025-09-07T07:39:04.5098826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5099338Z x = self.forward_features(x) 2025-09-07T07:39:04.5099856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5100496Z x = self.blocks(x) 2025-09-07T07:39:04.5101004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5101524Z x = self.conv_dw(x) 2025-09-07T07:39:04.5101968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5102520Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5103085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5103646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5104191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5104753Z return conv2d_same( 2025-09-07T07:39:04.5105212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5105813Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5106077Z 2025-09-07T07:39:04.5106178Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5106454Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5106732Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5107004Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5107318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5107829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5108287Z return mod(*inputs) 2025-09-07T07:39:04.5108746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5109252Z x = self.forward_features(x) 2025-09-07T07:39:04.5109774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5110304Z x = self.blocks(x) 2025-09-07T07:39:04.5110783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5111302Z x = self.conv_dw(x) 2025-09-07T07:39:04.5111747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5112235Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5112378Z 2025-09-07T07:39:04.5112510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5113024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5113484Z return mod(*inputs) 2025-09-07T07:39:04.5113945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5114447Z x = self.forward_features(x) 2025-09-07T07:39:04.5114977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5115509Z x = self.blocks(x) 2025-09-07T07:39:04.5115993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5116509Z x = self.bn2(x) 2025-09-07T07:39:04.5116928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5117403Z x = F.batch_norm( 2025-09-07T07:39:04.5117529Z 2025-09-07T07:39:04.5117666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5118181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5118640Z return mod(*inputs) 2025-09-07T07:39:04.5119098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5119601Z x = self.forward_features(x) 2025-09-07T07:39:04.5120242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5120794Z x = self.blocks(x) 2025-09-07T07:39:04.5121272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5121787Z x = self.bn2(x) 2025-09-07T07:39:04.5122210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5122678Z x = self.act(x) 2025-09-07T07:39:04.5122796Z 2025-09-07T07:39:04.5122928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5123442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5123982Z return mod(*inputs) 2025-09-07T07:39:04.5124439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5124949Z x = self.forward_features(x) 2025-09-07T07:39:04.5125468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5125996Z x = self.blocks(x) 2025-09-07T07:39:04.5126474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5126987Z x = self.se(x) 2025-09-07T07:39:04.5127447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5127971Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5128138Z 2025-09-07T07:39:04.5128272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5128793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5129248Z return mod(*inputs) 2025-09-07T07:39:04.5129705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5130212Z x = self.forward_features(x) 2025-09-07T07:39:04.5130734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5131260Z x = self.blocks(x) 2025-09-07T07:39:04.5131736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5132251Z x = self.se(x) 2025-09-07T07:39:04.5132716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5133235Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5133376Z 2025-09-07T07:39:04.5133517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5134024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5134479Z return mod(*inputs) 2025-09-07T07:39:04.5134941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5135451Z x = self.forward_features(x) 2025-09-07T07:39:04.5135972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5136500Z x = self.blocks(x) 2025-09-07T07:39:04.5136980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5137494Z x = self.se(x) 2025-09-07T07:39:04.5137957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5138484Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5138655Z 2025-09-07T07:39:04.5138789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5139306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5139913Z return mod(*inputs) 2025-09-07T07:39:04.5140384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5140892Z x = self.forward_features(x) 2025-09-07T07:39:04.5141411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5141938Z x = self.blocks(x) 2025-09-07T07:39:04.5142423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5142936Z x = self.se(x) 2025-09-07T07:39:04.5143401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5144012Z return x * self.gate(x_se) 2025-09-07T07:39:04.5144166Z 2025-09-07T07:39:04.5144305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5144817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5145274Z return mod(*inputs) 2025-09-07T07:39:04.5145731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5146238Z x = self.forward_features(x) 2025-09-07T07:39:04.5146757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5147284Z x = self.blocks(x) 2025-09-07T07:39:04.5147764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5148278Z x = self.se(x) 2025-09-07T07:39:04.5148743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5149263Z return x * self.gate(x_se) 2025-09-07T07:39:04.5149419Z 2025-09-07T07:39:04.5149555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5150066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5150521Z return mod(*inputs) 2025-09-07T07:39:04.5150978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5151480Z x = self.forward_features(x) 2025-09-07T07:39:04.5152004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5152531Z x = self.blocks(x) 2025-09-07T07:39:04.5153010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5153534Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5153676Z 2025-09-07T07:39:04.5153808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5154324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5154784Z return mod(*inputs) 2025-09-07T07:39:04.5155237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5155740Z x = self.forward_features(x) 2025-09-07T07:39:04.5156259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5156786Z x = self.blocks(x) 2025-09-07T07:39:04.5157265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:04.5157779Z x = self.bn3(x) 2025-09-07T07:39:04.5158201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5158674Z x = F.batch_norm( 2025-09-07T07:39:04.5158801Z 2025-09-07T07:39:04.5158940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5159599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5160060Z return mod(*inputs) 2025-09-07T07:39:04.5160528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5161033Z x = self.forward_features(x) 2025-09-07T07:39:04.5161555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5162080Z x = self.blocks(x) 2025-09-07T07:39:04.5162559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5163077Z x = self.conv_pw(x) 2025-09-07T07:39:04.5163691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5164243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5164808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5165370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5165606Z 2025-09-07T07:39:04.5165740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5166249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5166703Z return mod(*inputs) 2025-09-07T07:39:04.5167155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5167660Z x = self.forward_features(x) 2025-09-07T07:39:04.5168183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5168716Z x = self.blocks(x) 2025-09-07T07:39:04.5169195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5169718Z x = self.conv_pw(x) 2025-09-07T07:39:04.5170163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5170713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5171272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5171830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5172067Z 2025-09-07T07:39:04.5172163Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5186919Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5187287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5187816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5188282Z return mod(*inputs) 2025-09-07T07:39:04.5188758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5189278Z x = self.forward_features(x) 2025-09-07T07:39:04.5189812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5190352Z x = self.blocks(x) 2025-09-07T07:39:04.5190834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5191362Z x = self.conv_pw(x) 2025-09-07T07:39:04.5191813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5192313Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5192464Z 2025-09-07T07:39:04.5192603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5193118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5193811Z return mod(*inputs) 2025-09-07T07:39:04.5194288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5194801Z x = self.forward_features(x) 2025-09-07T07:39:04.5195328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5195861Z x = self.blocks(x) 2025-09-07T07:39:04.5196349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5196872Z x = self.bn1(x) 2025-09-07T07:39:04.5197294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5197903Z x = F.batch_norm( 2025-09-07T07:39:04.5198037Z 2025-09-07T07:39:04.5198174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5198698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5199160Z return mod(*inputs) 2025-09-07T07:39:04.5199618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5200132Z x = self.forward_features(x) 2025-09-07T07:39:04.5200659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5201192Z x = self.blocks(x) 2025-09-07T07:39:04.5201676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5202192Z x = self.bn1(x) 2025-09-07T07:39:04.5202620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5203101Z x = self.act(x) 2025-09-07T07:39:04.5203218Z 2025-09-07T07:39:04.5203320Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5203642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5204161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5204621Z return mod(*inputs) 2025-09-07T07:39:04.5205081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5205591Z x = self.forward_features(x) 2025-09-07T07:39:04.5206112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5206644Z x = self.blocks(x) 2025-09-07T07:39:04.5207126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5207655Z x = self.conv_dw(x) 2025-09-07T07:39:04.5208099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5208663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5209235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5209805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5210040Z 2025-09-07T07:39:04.5210142Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5210463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5210979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5211438Z return mod(*inputs) 2025-09-07T07:39:04.5211898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5212408Z x = self.forward_features(x) 2025-09-07T07:39:04.5212934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5213467Z x = self.blocks(x) 2025-09-07T07:39:04.5214069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5214604Z x = self.conv_dw(x) 2025-09-07T07:39:04.5215048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5215604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5216173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5216739Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5216972Z 2025-09-07T07:39:04.5217074Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5217451Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5217769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5218286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5218750Z return mod(*inputs) 2025-09-07T07:39:04.5219206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5219716Z x = self.forward_features(x) 2025-09-07T07:39:04.5220243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5220773Z x = self.blocks(x) 2025-09-07T07:39:04.5221255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5221774Z x = self.conv_dw(x) 2025-09-07T07:39:04.5222223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5222725Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5222870Z 2025-09-07T07:39:04.5223009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5223527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5223984Z return mod(*inputs) 2025-09-07T07:39:04.5224441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5224949Z x = self.forward_features(x) 2025-09-07T07:39:04.5225473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5225999Z x = self.blocks(x) 2025-09-07T07:39:04.5226482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5227002Z x = self.bn2(x) 2025-09-07T07:39:04.5227433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5227906Z x = F.batch_norm( 2025-09-07T07:39:04.5228033Z 2025-09-07T07:39:04.5228169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5228685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5229144Z return mod(*inputs) 2025-09-07T07:39:04.5229603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5230108Z x = self.forward_features(x) 2025-09-07T07:39:04.5230633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5231166Z x = self.blocks(x) 2025-09-07T07:39:04.5231651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5232179Z x = self.bn2(x) 2025-09-07T07:39:04.5232593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5233063Z x = self.act(x) 2025-09-07T07:39:04.5233182Z 2025-09-07T07:39:04.5233439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5233963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5234416Z return mod(*inputs) 2025-09-07T07:39:04.5234870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5235377Z x = self.forward_features(x) 2025-09-07T07:39:04.5235901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5236431Z x = self.blocks(x) 2025-09-07T07:39:04.5236904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5237490Z x = self.se(x) 2025-09-07T07:39:04.5237951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5238483Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5238649Z 2025-09-07T07:39:04.5238783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5239301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5239755Z return mod(*inputs) 2025-09-07T07:39:04.5240211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5240717Z x = self.forward_features(x) 2025-09-07T07:39:04.5241233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5241766Z x = self.blocks(x) 2025-09-07T07:39:04.5242250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5242763Z x = self.se(x) 2025-09-07T07:39:04.5243225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5243745Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5243889Z 2025-09-07T07:39:04.5244023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5244536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5244991Z return mod(*inputs) 2025-09-07T07:39:04.5245444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5245949Z x = self.forward_features(x) 2025-09-07T07:39:04.5246470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5247004Z x = self.blocks(x) 2025-09-07T07:39:04.5247476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5247990Z x = self.se(x) 2025-09-07T07:39:04.5248458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5248985Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5249149Z 2025-09-07T07:39:04.5249249Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5249563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5250077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5250533Z return mod(*inputs) 2025-09-07T07:39:04.5250988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5251496Z x = self.forward_features(x) 2025-09-07T07:39:04.5252021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5252549Z x = self.blocks(x) 2025-09-07T07:39:04.5253142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5253672Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5254120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5254672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5255235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5255796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5256029Z 2025-09-07T07:39:04.5256133Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5256519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5257030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5257488Z return mod(*inputs) 2025-09-07T07:39:04.5257949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5258450Z x = self.forward_features(x) 2025-09-07T07:39:04.5258973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5259502Z x = self.blocks(x) 2025-09-07T07:39:04.5259980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5260499Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5260950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5261505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5262070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5262632Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5262864Z 2025-09-07T07:39:04.5262959Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5263239Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5263661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5264173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5264624Z return mod(*inputs) 2025-09-07T07:39:04.5265077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5265581Z x = self.forward_features(x) 2025-09-07T07:39:04.5266102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5266634Z x = self.blocks(x) 2025-09-07T07:39:04.5267110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5267636Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5268094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5268584Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5268728Z 2025-09-07T07:39:04.5268865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5269374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5269830Z return mod(*inputs) 2025-09-07T07:39:04.5270288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5270787Z x = self.forward_features(x) 2025-09-07T07:39:04.5271310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5271837Z x = self.blocks(x) 2025-09-07T07:39:04.5272489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5273030Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5273201Z 2025-09-07T07:39:04.5273337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5273845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5274300Z return mod(*inputs) 2025-09-07T07:39:04.5274766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5275270Z x = self.forward_features(x) 2025-09-07T07:39:04.5275789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5276433Z x = self.blocks(x) 2025-09-07T07:39:04.5276915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5277435Z x = self.conv_pw(x) 2025-09-07T07:39:04.5277884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5278434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5278994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5279555Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5279787Z 2025-09-07T07:39:04.5279925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5280430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5280885Z return mod(*inputs) 2025-09-07T07:39:04.5281346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5281851Z x = self.forward_features(x) 2025-09-07T07:39:04.5282377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5282909Z x = self.blocks(x) 2025-09-07T07:39:04.5283391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5283911Z x = self.conv_pw(x) 2025-09-07T07:39:04.5284357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5284903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5285465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5286029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5286261Z 2025-09-07T07:39:04.5286361Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5286634Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5286949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5287462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5287920Z return mod(*inputs) 2025-09-07T07:39:04.5288377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5288878Z x = self.forward_features(x) 2025-09-07T07:39:04.5289401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5289930Z x = self.blocks(x) 2025-09-07T07:39:04.5290408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5290931Z x = self.conv_pw(x) 2025-09-07T07:39:04.5291379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5291868Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5292125Z 2025-09-07T07:39:04.5292278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5292790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5293243Z return mod(*inputs) 2025-09-07T07:39:04.5293699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5294203Z x = self.forward_features(x) 2025-09-07T07:39:04.5294721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5295246Z x = self.blocks(x) 2025-09-07T07:39:04.5295726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5296342Z x = self.bn1(x) 2025-09-07T07:39:04.5296764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5297236Z x = F.batch_norm( 2025-09-07T07:39:04.5297362Z 2025-09-07T07:39:04.5297495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5298010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5298464Z return mod(*inputs) 2025-09-07T07:39:04.5298918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5299421Z x = self.forward_features(x) 2025-09-07T07:39:04.5299944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5300472Z x = self.blocks(x) 2025-09-07T07:39:04.5300958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5301471Z x = self.bn1(x) 2025-09-07T07:39:04.5301891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5302360Z x = self.act(x) 2025-09-07T07:39:04.5302481Z 2025-09-07T07:39:04.5302580Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5302897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5303407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5303864Z return mod(*inputs) 2025-09-07T07:39:04.5304320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5304827Z x = self.forward_features(x) 2025-09-07T07:39:04.5305351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5305879Z x = self.blocks(x) 2025-09-07T07:39:04.5306363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5306889Z x = self.conv_dw(x) 2025-09-07T07:39:04.5307337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5307884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5308449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5309011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5309244Z 2025-09-07T07:39:04.5309345Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5309662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5310174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5310638Z return mod(*inputs) 2025-09-07T07:39:04.5311092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5311721Z x = self.forward_features(x) 2025-09-07T07:39:04.5312265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5312793Z x = self.blocks(x) 2025-09-07T07:39:04.5313271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5313789Z x = self.conv_dw(x) 2025-09-07T07:39:04.5314233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5314779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5315342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5315982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5316214Z 2025-09-07T07:39:04.5316317Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5316413Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5316550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5316835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5316911Z return mod(*inputs) 2025-09-07T07:39:04.5317238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5317324Z x = self.forward_features(x) 2025-09-07T07:39:04.5317693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5317766Z x = self.blocks(x) 2025-09-07T07:39:04.5318121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5318201Z x = self.conv_dw(x) 2025-09-07T07:39:04.5318523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5318605Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5318610Z 2025-09-07T07:39:04.5318744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5319028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5319107Z return mod(*inputs) 2025-09-07T07:39:04.5319434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5319521Z x = self.forward_features(x) 2025-09-07T07:39:04.5319881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5319959Z x = self.blocks(x) 2025-09-07T07:39:04.5320311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5320380Z x = self.bn2(x) 2025-09-07T07:39:04.5320691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5320762Z x = F.batch_norm( 2025-09-07T07:39:04.5320766Z 2025-09-07T07:39:04.5320903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5321189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5321264Z return mod(*inputs) 2025-09-07T07:39:04.5321595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5321679Z x = self.forward_features(x) 2025-09-07T07:39:04.5322041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5322120Z x = self.blocks(x) 2025-09-07T07:39:04.5322470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5322645Z x = self.bn2(x) 2025-09-07T07:39:04.5322966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5323039Z x = self.act(x) 2025-09-07T07:39:04.5323043Z 2025-09-07T07:39:04.5323176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5323464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5323542Z return mod(*inputs) 2025-09-07T07:39:04.5323865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5323951Z x = self.forward_features(x) 2025-09-07T07:39:04.5324416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5324490Z x = self.blocks(x) 2025-09-07T07:39:04.5324845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5324913Z x = self.se(x) 2025-09-07T07:39:04.5325261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5325344Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5325349Z 2025-09-07T07:39:04.5325485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5325770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5325844Z return mod(*inputs) 2025-09-07T07:39:04.5326172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5326260Z x = self.forward_features(x) 2025-09-07T07:39:04.5326621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5326695Z x = self.blocks(x) 2025-09-07T07:39:04.5327048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5327121Z x = self.se(x) 2025-09-07T07:39:04.5327465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5327546Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5327551Z 2025-09-07T07:39:04.5327685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5327970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5328048Z return mod(*inputs) 2025-09-07T07:39:04.5328372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5328463Z x = self.forward_features(x) 2025-09-07T07:39:04.5328825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5328900Z x = self.blocks(x) 2025-09-07T07:39:04.5329250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5329319Z x = self.se(x) 2025-09-07T07:39:04.5329668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5329754Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5329759Z 2025-09-07T07:39:04.5329858Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5329991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5330274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5330358Z return mod(*inputs) 2025-09-07T07:39:04.5330680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5330860Z x = self.forward_features(x) 2025-09-07T07:39:04.5331225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5331297Z x = self.blocks(x) 2025-09-07T07:39:04.5331647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5331724Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5332042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5332179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5332507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5332706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5332711Z 2025-09-07T07:39:04.5332806Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5332946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5333231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5333308Z return mod(*inputs) 2025-09-07T07:39:04.5333630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5333714Z x = self.forward_features(x) 2025-09-07T07:39:04.5334076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5334149Z x = self.blocks(x) 2025-09-07T07:39:04.5334500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5334583Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5334898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5335041Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5335370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5335510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5335515Z 2025-09-07T07:39:04.5335610Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5335706Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5335841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5336127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5336203Z return mod(*inputs) 2025-09-07T07:39:04.5336526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5336615Z x = self.forward_features(x) 2025-09-07T07:39:04.5336984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5337057Z x = self.blocks(x) 2025-09-07T07:39:04.5337408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5337485Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5337802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5337881Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5337886Z 2025-09-07T07:39:04.5338018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5338309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5338388Z return mod(*inputs) 2025-09-07T07:39:04.5338714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5338799Z x = self.forward_features(x) 2025-09-07T07:39:04.5339276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5339361Z x = self.blocks(x) 2025-09-07T07:39:04.5339712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5339802Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5339806Z 2025-09-07T07:39:04.5339939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5340223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5340303Z return mod(*inputs) 2025-09-07T07:39:04.5340626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5340779Z x = self.forward_features(x) 2025-09-07T07:39:04.5341139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5341218Z x = self.blocks(x) 2025-09-07T07:39:04.5341567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5341641Z x = self.conv_pw(x) 2025-09-07T07:39:04.5341960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5342099Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5342431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5342568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5342576Z 2025-09-07T07:39:04.5342709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5342997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5343073Z return mod(*inputs) 2025-09-07T07:39:04.5343403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5343489Z x = self.forward_features(x) 2025-09-07T07:39:04.5343850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5343927Z x = self.blocks(x) 2025-09-07T07:39:04.5344276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5344355Z x = self.conv_pw(x) 2025-09-07T07:39:04.5344669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5344811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5345143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5345283Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5345287Z 2025-09-07T07:39:04.5345388Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5345482Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5345618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5345902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5345976Z return mod(*inputs) 2025-09-07T07:39:04.5346303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5346388Z x = self.forward_features(x) 2025-09-07T07:39:04.5346753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5346830Z x = self.blocks(x) 2025-09-07T07:39:04.5347179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5347350Z x = self.conv_pw(x) 2025-09-07T07:39:04.5347670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5347751Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5347756Z 2025-09-07T07:39:04.5347890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5348175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5348252Z return mod(*inputs) 2025-09-07T07:39:04.5348573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5348662Z x = self.forward_features(x) 2025-09-07T07:39:04.5349093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5349170Z x = self.blocks(x) 2025-09-07T07:39:04.5349524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5349595Z x = self.bn1(x) 2025-09-07T07:39:04.5349901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5349973Z x = F.batch_norm( 2025-09-07T07:39:04.5349977Z 2025-09-07T07:39:04.5350114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5350401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5350476Z return mod(*inputs) 2025-09-07T07:39:04.5350801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5350891Z x = self.forward_features(x) 2025-09-07T07:39:04.5351255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5351328Z x = self.blocks(x) 2025-09-07T07:39:04.5351680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5351753Z x = self.bn1(x) 2025-09-07T07:39:04.5352054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5352129Z x = self.act(x) 2025-09-07T07:39:04.5352133Z 2025-09-07T07:39:04.5352229Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5352362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5352652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5352725Z return mod(*inputs) 2025-09-07T07:39:04.5353055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5353141Z x = self.forward_features(x) 2025-09-07T07:39:04.5353506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5353582Z x = self.blocks(x) 2025-09-07T07:39:04.5353930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5354008Z x = self.conv_dw(x) 2025-09-07T07:39:04.5354323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5354462Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5354790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5354933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5354941Z 2025-09-07T07:39:04.5355041Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5355174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5355550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5355631Z return mod(*inputs) 2025-09-07T07:39:04.5355955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5356043Z x = self.forward_features(x) 2025-09-07T07:39:04.5356403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5356480Z x = self.blocks(x) 2025-09-07T07:39:04.5356831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5356905Z x = self.conv_dw(x) 2025-09-07T07:39:04.5357295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5357434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5357769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5357906Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5357910Z 2025-09-07T07:39:04.5358010Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5358103Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5358237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5358526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5358601Z return mod(*inputs) 2025-09-07T07:39:04.5358928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5359016Z x = self.forward_features(x) 2025-09-07T07:39:04.5359378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5359454Z x = self.blocks(x) 2025-09-07T07:39:04.5359811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5359890Z x = self.conv_dw(x) 2025-09-07T07:39:04.5360205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5360282Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5360286Z 2025-09-07T07:39:04.5360424Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5360710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5360788Z return mod(*inputs) 2025-09-07T07:39:04.5361111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5361202Z x = self.forward_features(x) 2025-09-07T07:39:04.5361565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5361641Z x = self.blocks(x) 2025-09-07T07:39:04.5361995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5362067Z x = self.bn2(x) 2025-09-07T07:39:04.5362373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5362445Z x = F.batch_norm( 2025-09-07T07:39:04.5362449Z 2025-09-07T07:39:04.5362583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5362872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5362947Z return mod(*inputs) 2025-09-07T07:39:04.5363375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5363463Z x = self.forward_features(x) 2025-09-07T07:39:04.5363972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5364054Z x = self.blocks(x) 2025-09-07T07:39:04.5364419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5364493Z x = self.bn2(x) 2025-09-07T07:39:04.5364799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5364872Z x = self.act(x) 2025-09-07T07:39:04.5364877Z 2025-09-07T07:39:04.5365015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5365298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5365519Z return mod(*inputs) 2025-09-07T07:39:04.5365844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5365928Z x = self.forward_features(x) 2025-09-07T07:39:04.5366295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5366368Z x = self.blocks(x) 2025-09-07T07:39:04.5366721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5366790Z x = self.se(x) 2025-09-07T07:39:04.5367138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5367223Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5367227Z 2025-09-07T07:39:04.5367360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5367651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5367731Z return mod(*inputs) 2025-09-07T07:39:04.5368061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5368150Z x = self.forward_features(x) 2025-09-07T07:39:04.5368508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5368584Z x = self.blocks(x) 2025-09-07T07:39:04.5368932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5369002Z x = self.se(x) 2025-09-07T07:39:04.5369350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5369426Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5369430Z 2025-09-07T07:39:04.5369565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5369855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5369931Z return mod(*inputs) 2025-09-07T07:39:04.5370256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5370342Z x = self.forward_features(x) 2025-09-07T07:39:04.5370703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5370777Z x = self.blocks(x) 2025-09-07T07:39:04.5371130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5371200Z x = self.se(x) 2025-09-07T07:39:04.5371548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5371634Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5371642Z 2025-09-07T07:39:04.5371738Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5371877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5372273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5372382Z return mod(*inputs) 2025-09-07T07:39:04.5372708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5372793Z x = self.forward_features(x) 2025-09-07T07:39:04.5373159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5373231Z x = self.blocks(x) 2025-09-07T07:39:04.5373585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5373662Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5373979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5374186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5374517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5374657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5374661Z 2025-09-07T07:39:04.5374757Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5374893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5375177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5375252Z return mod(*inputs) 2025-09-07T07:39:04.5375579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5375663Z x = self.forward_features(x) 2025-09-07T07:39:04.5376025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5376102Z x = self.blocks(x) 2025-09-07T07:39:04.5376454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5376535Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5376850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5376990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5377318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5377454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5377458Z 2025-09-07T07:39:04.5377560Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5377656Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5377795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5378084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5378159Z return mod(*inputs) 2025-09-07T07:39:04.5378490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5378574Z x = self.forward_features(x) 2025-09-07T07:39:04.5378938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5379013Z x = self.blocks(x) 2025-09-07T07:39:04.5379363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5379441Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5379755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5379837Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5379845Z 2025-09-07T07:39:04.5379980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5380267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5380431Z return mod(*inputs) 2025-09-07T07:39:04.5380763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5380853Z x = self.forward_features(x) 2025-09-07T07:39:04.5381212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5381289Z x = self.blocks(x) 2025-09-07T07:39:04.5381637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5381721Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5381726Z 2025-09-07T07:39:04.5381863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5382219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5382295Z return mod(*inputs) 2025-09-07T07:39:04.5382622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5382705Z x = self.forward_features(x) 2025-09-07T07:39:04.5383071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5383143Z x = self.blocks(x) 2025-09-07T07:39:04.5383498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5383571Z x = self.conv_pw(x) 2025-09-07T07:39:04.5383575Z 2025-09-07T07:39:04.5383712Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5383996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5384074Z return mod(*inputs) 2025-09-07T07:39:04.5384403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5384490Z x = self.forward_features(x) 2025-09-07T07:39:04.5384860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5384935Z x = self.blocks(x) 2025-09-07T07:39:04.5385285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5385359Z x = self.bn1(x) 2025-09-07T07:39:04.5385660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5385734Z x = F.batch_norm( 2025-09-07T07:39:04.5385738Z 2025-09-07T07:39:04.5385871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5386157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5386240Z return mod(*inputs) 2025-09-07T07:39:04.5386564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5386655Z x = self.forward_features(x) 2025-09-07T07:39:04.5387018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5387092Z x = self.blocks(x) 2025-09-07T07:39:04.5387442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5387512Z x = self.bn1(x) 2025-09-07T07:39:04.5387817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5387886Z x = self.act(x) 2025-09-07T07:39:04.5387890Z 2025-09-07T07:39:04.5388024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5388312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5388386Z return mod(*inputs) 2025-09-07T07:39:04.5388830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5388924Z x = self.forward_features(x) 2025-09-07T07:39:04.5389289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5389362Z x = self.blocks(x) 2025-09-07T07:39:04.5389714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5389791Z x = self.conv_dw(x) 2025-09-07T07:39:04.5390109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5390250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5390655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5390791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5391111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5391185Z return conv2d_same( 2025-09-07T07:39:04.5391515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5391642Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5391949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5392144Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5392434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5392566Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5392570Z 2025-09-07T07:39:04.5392704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5392999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5393077Z return mod(*inputs) 2025-09-07T07:39:04.5393403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5393491Z x = self.forward_features(x) 2025-09-07T07:39:04.5393853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5393929Z x = self.blocks(x) 2025-09-07T07:39:04.5394280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5394355Z x = self.conv_dw(x) 2025-09-07T07:39:04.5394678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5394816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5395152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5395289Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5395603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5395679Z return conv2d_same( 2025-09-07T07:39:04.5396006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5396183Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5396188Z 2025-09-07T07:39:04.5396321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5396616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5396690Z return mod(*inputs) 2025-09-07T07:39:04.5397097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5397201Z x = self.forward_features(x) 2025-09-07T07:39:04.5397563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5397641Z x = self.blocks(x) 2025-09-07T07:39:04.5397993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5398067Z x = self.conv_dw(x) 2025-09-07T07:39:04.5398388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5398525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5398856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5399095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5399415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5399492Z return conv2d_same( 2025-09-07T07:39:04.5399819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5399947Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5400251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5400442Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5400731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5400858Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5400865Z 2025-09-07T07:39:04.5400999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5401288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5401368Z return mod(*inputs) 2025-09-07T07:39:04.5401690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5401778Z x = self.forward_features(x) 2025-09-07T07:39:04.5402141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5402214Z x = self.blocks(x) 2025-09-07T07:39:04.5402571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5402644Z x = self.conv_dw(x) 2025-09-07T07:39:04.5402962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5403104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5403434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5403576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5403888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5403966Z return conv2d_same( 2025-09-07T07:39:04.5404293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5404463Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5404471Z 2025-09-07T07:39:04.5404604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5404890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5404971Z return mod(*inputs) 2025-09-07T07:39:04.5405293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5405471Z x = self.forward_features(x) 2025-09-07T07:39:04.5405838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5405911Z x = self.blocks(x) 2025-09-07T07:39:04.5406265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5406340Z x = self.conv_dw(x) 2025-09-07T07:39:04.5406657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5406794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5407122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5407321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5407636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5407714Z return conv2d_same( 2025-09-07T07:39:04.5408041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5408164Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5408469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5408656Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5408947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5409073Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5409078Z 2025-09-07T07:39:04.5409217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5409506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5409581Z return mod(*inputs) 2025-09-07T07:39:04.5409912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5409998Z x = self.forward_features(x) 2025-09-07T07:39:04.5410360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5410433Z x = self.blocks(x) 2025-09-07T07:39:04.5410784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5410861Z x = self.conv_dw(x) 2025-09-07T07:39:04.5411177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5411320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5411652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5411788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5412104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5412181Z return conv2d_same( 2025-09-07T07:39:04.5412512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5412681Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5412685Z 2025-09-07T07:39:04.5412786Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5412883Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5412981Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5413119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5413405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5413575Z return mod(*inputs) 2025-09-07T07:39:04.5413909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5413995Z x = self.forward_features(x) 2025-09-07T07:39:04.5414361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5414435Z x = self.blocks(x) 2025-09-07T07:39:04.5414788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5414862Z x = self.conv_dw(x) 2025-09-07T07:39:04.5415178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5415333Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5415337Z 2025-09-07T07:39:04.5415471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5415761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5415835Z return mod(*inputs) 2025-09-07T07:39:04.5416159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5416247Z x = self.forward_features(x) 2025-09-07T07:39:04.5416607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5416682Z x = self.blocks(x) 2025-09-07T07:39:04.5417032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5417106Z x = self.bn2(x) 2025-09-07T07:39:04.5417409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5417483Z x = F.batch_norm( 2025-09-07T07:39:04.5417488Z 2025-09-07T07:39:04.5417627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5417916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5417995Z return mod(*inputs) 2025-09-07T07:39:04.5418317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5418401Z x = self.forward_features(x) 2025-09-07T07:39:04.5418765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5418836Z x = self.blocks(x) 2025-09-07T07:39:04.5419190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5419259Z x = self.bn2(x) 2025-09-07T07:39:04.5419565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5419637Z x = self.act(x) 2025-09-07T07:39:04.5419641Z 2025-09-07T07:39:04.5419777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5420064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5420139Z return mod(*inputs) 2025-09-07T07:39:04.5420461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5420549Z x = self.forward_features(x) 2025-09-07T07:39:04.5420912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5420988Z x = self.blocks(x) 2025-09-07T07:39:04.5421341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5421415Z x = self.se(x) 2025-09-07T07:39:04.5421760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5421844Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5421911Z 2025-09-07T07:39:04.5422054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5422339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5422417Z return mod(*inputs) 2025-09-07T07:39:04.5422740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5422823Z x = self.forward_features(x) 2025-09-07T07:39:04.5423188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5423261Z x = self.blocks(x) 2025-09-07T07:39:04.5423613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5423741Z x = self.se(x) 2025-09-07T07:39:04.5424091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5424172Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5424177Z 2025-09-07T07:39:04.5424313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5424602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5424678Z return mod(*inputs) 2025-09-07T07:39:04.5425000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5425089Z x = self.forward_features(x) 2025-09-07T07:39:04.5425451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5425531Z x = self.blocks(x) 2025-09-07T07:39:04.5425882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5425952Z x = self.se(x) 2025-09-07T07:39:04.5426301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5426388Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5426392Z 2025-09-07T07:39:04.5426529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5426814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5426892Z return mod(*inputs) 2025-09-07T07:39:04.5427217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5427303Z x = self.forward_features(x) 2025-09-07T07:39:04.5427668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5427745Z x = self.blocks(x) 2025-09-07T07:39:04.5428100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5428175Z x = self.se(x) 2025-09-07T07:39:04.5428522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5428608Z return x * self.gate(x_se) 2025-09-07T07:39:04.5428613Z 2025-09-07T07:39:04.5428746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5429034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5429111Z return mod(*inputs) 2025-09-07T07:39:04.5429444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5429529Z x = self.forward_features(x) 2025-09-07T07:39:04.5429895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5429971Z x = self.blocks(x) 2025-09-07T07:39:04.5430420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5430495Z x = self.se(x) 2025-09-07T07:39:04.5430841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5430925Z return x * self.gate(x_se) 2025-09-07T07:39:04.5430929Z 2025-09-07T07:39:04.5431066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5431349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5431427Z return mod(*inputs) 2025-09-07T07:39:04.5431752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5431928Z x = self.forward_features(x) 2025-09-07T07:39:04.5432295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5432368Z x = self.blocks(x) 2025-09-07T07:39:04.5432727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5432805Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5432809Z 2025-09-07T07:39:04.5432946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5433231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5433305Z return mod(*inputs) 2025-09-07T07:39:04.5433635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5433720Z x = self.forward_features(x) 2025-09-07T07:39:04.5434085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5434162Z x = self.blocks(x) 2025-09-07T07:39:04.5434514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:04.5434585Z x = self.bn3(x) 2025-09-07T07:39:04.5434890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5434963Z x = F.batch_norm( 2025-09-07T07:39:04.5434968Z 2025-09-07T07:39:04.5435099Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5435384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5435461Z return mod(*inputs) 2025-09-07T07:39:04.5435784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5435870Z x = self.forward_features(x) 2025-09-07T07:39:04.5436236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5436308Z x = self.blocks(x) 2025-09-07T07:39:04.5436664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5436739Z x = self.conv_pw(x) 2025-09-07T07:39:04.5437056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5437194Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5437525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5437661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5437666Z 2025-09-07T07:39:04.5437800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5438087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5438167Z return mod(*inputs) 2025-09-07T07:39:04.5438495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5438672Z x = self.forward_features(x) 2025-09-07T07:39:04.5439040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5439116Z x = self.blocks(x) 2025-09-07T07:39:04.5439472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5439549Z x = self.conv_pw(x) 2025-09-07T07:39:04.5439870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5440008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5440343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5440549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5440553Z 2025-09-07T07:39:04.5440658Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5440754Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5440891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5441175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5441249Z return mod(*inputs) 2025-09-07T07:39:04.5441579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5441663Z x = self.forward_features(x) 2025-09-07T07:39:04.5442026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5442100Z x = self.blocks(x) 2025-09-07T07:39:04.5442456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5442535Z x = self.conv_pw(x) 2025-09-07T07:39:04.5442854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5442936Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5442940Z 2025-09-07T07:39:04.5443075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5443358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5443438Z return mod(*inputs) 2025-09-07T07:39:04.5443764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5443852Z x = self.forward_features(x) 2025-09-07T07:39:04.5444213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5444288Z x = self.blocks(x) 2025-09-07T07:39:04.5444640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5444710Z x = self.bn1(x) 2025-09-07T07:39:04.5445022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5445094Z x = F.batch_norm( 2025-09-07T07:39:04.5445099Z 2025-09-07T07:39:04.5445235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5445522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5445598Z return mod(*inputs) 2025-09-07T07:39:04.5445926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5446013Z x = self.forward_features(x) 2025-09-07T07:39:04.5446380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5446456Z x = self.blocks(x) 2025-09-07T07:39:04.5446807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5446964Z x = self.bn1(x) 2025-09-07T07:39:04.5447275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5447348Z x = self.act(x) 2025-09-07T07:39:04.5447353Z 2025-09-07T07:39:04.5447450Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5447585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5447873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5447947Z return mod(*inputs) 2025-09-07T07:39:04.5448277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5448432Z x = self.forward_features(x) 2025-09-07T07:39:04.5448794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5448872Z x = self.blocks(x) 2025-09-07T07:39:04.5449226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5449305Z x = self.conv_dw(x) 2025-09-07T07:39:04.5449623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5449762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5450097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5450234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5450239Z 2025-09-07T07:39:04.5450339Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5450477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5450764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5450839Z return mod(*inputs) 2025-09-07T07:39:04.5451168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5451257Z x = self.forward_features(x) 2025-09-07T07:39:04.5451619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5451694Z x = self.blocks(x) 2025-09-07T07:39:04.5452046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5452119Z x = self.conv_dw(x) 2025-09-07T07:39:04.5452442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5452584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5452918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5453058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5453062Z 2025-09-07T07:39:04.5453163Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5453297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5453584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5453660Z return mod(*inputs) 2025-09-07T07:39:04.5453986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5454075Z x = self.forward_features(x) 2025-09-07T07:39:04.5454435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5454513Z x = self.blocks(x) 2025-09-07T07:39:04.5454869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5454943Z x = self.conv_dw(x) 2025-09-07T07:39:04.5455360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5455506Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5455835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5455976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5455980Z 2025-09-07T07:39:04.5456075Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5456214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5456499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5456637Z return mod(*inputs) 2025-09-07T07:39:04.5456965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5457050Z x = self.forward_features(x) 2025-09-07T07:39:04.5457421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5457494Z x = self.blocks(x) 2025-09-07T07:39:04.5457847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5457922Z x = self.conv_dw(x) 2025-09-07T07:39:04.5458238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5458378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5458705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5458847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5458852Z 2025-09-07T07:39:04.5458948Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5459046Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5459142Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5459236Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5459373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5459660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5459734Z return mod(*inputs) 2025-09-07T07:39:04.5460063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5460148Z x = self.forward_features(x) 2025-09-07T07:39:04.5460513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5460593Z x = self.blocks(x) 2025-09-07T07:39:04.5460946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5461023Z x = self.conv_dw(x) 2025-09-07T07:39:04.5461342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5461422Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5461426Z 2025-09-07T07:39:04.5461522Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5461660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5461947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5462021Z return mod(*inputs) 2025-09-07T07:39:04.5462347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5462434Z x = self.forward_features(x) 2025-09-07T07:39:04.5462802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5462873Z x = self.blocks(x) 2025-09-07T07:39:04.5463447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5463528Z x = self.se(x) 2025-09-07T07:39:04.5463876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.5463969Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.5463973Z 2025-09-07T07:39:04.5464108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5464396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5464477Z return mod(*inputs) 2025-09-07T07:39:04.5464802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5464997Z x = self.forward_features(x) 2025-09-07T07:39:04.5465359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5465436Z x = self.blocks(x) 2025-09-07T07:39:04.5465791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5465860Z x = self.se(x) 2025-09-07T07:39:04.5466209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5466294Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5466298Z 2025-09-07T07:39:04.5466436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5466721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5466796Z return mod(*inputs) 2025-09-07T07:39:04.5467127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5467212Z x = self.forward_features(x) 2025-09-07T07:39:04.5467582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5467656Z x = self.blocks(x) 2025-09-07T07:39:04.5468008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5468082Z x = self.se(x) 2025-09-07T07:39:04.5468431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5468513Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5468518Z 2025-09-07T07:39:04.5468653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5468937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5469019Z return mod(*inputs) 2025-09-07T07:39:04.5469348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5469435Z x = self.forward_features(x) 2025-09-07T07:39:04.5469800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5469875Z x = self.blocks(x) 2025-09-07T07:39:04.5470229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5470298Z x = self.se(x) 2025-09-07T07:39:04.5470650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5470735Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5470739Z 2025-09-07T07:39:04.5470877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5471161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5471241Z return mod(*inputs) 2025-09-07T07:39:04.5471569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5471777Z x = self.forward_features(x) 2025-09-07T07:39:04.5472152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5472226Z x = self.blocks(x) 2025-09-07T07:39:04.5472577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5472650Z x = self.se(x) 2025-09-07T07:39:04.5472998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5473085Z return x * self.gate(x_se) 2025-09-07T07:39:04.5473090Z 2025-09-07T07:39:04.5473225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5473588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5473668Z return mod(*inputs) 2025-09-07T07:39:04.5473994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5474084Z x = self.forward_features(x) 2025-09-07T07:39:04.5474446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5474518Z x = self.blocks(x) 2025-09-07T07:39:04.5474872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5474941Z x = self.se(x) 2025-09-07T07:39:04.5475291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5475374Z return x * self.gate(x_se) 2025-09-07T07:39:04.5475382Z 2025-09-07T07:39:04.5475480Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5475613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5475901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5475980Z return mod(*inputs) 2025-09-07T07:39:04.5476308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5476396Z x = self.forward_features(x) 2025-09-07T07:39:04.5476755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5476826Z x = self.blocks(x) 2025-09-07T07:39:04.5477181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5477258Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5477581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5477725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5478057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5478197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5478202Z 2025-09-07T07:39:04.5478298Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5478434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5478720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5478799Z return mod(*inputs) 2025-09-07T07:39:04.5479123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5479207Z x = self.forward_features(x) 2025-09-07T07:39:04.5479572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5479650Z x = self.blocks(x) 2025-09-07T07:39:04.5480091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5480174Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5480492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5480632Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5480963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5481103Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5481107Z 2025-09-07T07:39:04.5481202Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5481297Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5481504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5481790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5481868Z return mod(*inputs) 2025-09-07T07:39:04.5482195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5482283Z x = self.forward_features(x) 2025-09-07T07:39:04.5482648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5482722Z x = self.blocks(x) 2025-09-07T07:39:04.5483076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5483153Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5483473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5483551Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5483559Z 2025-09-07T07:39:04.5483695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5483985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5484064Z return mod(*inputs) 2025-09-07T07:39:04.5484392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5484478Z x = self.forward_features(x) 2025-09-07T07:39:04.5484839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5484916Z x = self.blocks(x) 2025-09-07T07:39:04.5485267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5485359Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5485363Z 2025-09-07T07:39:04.5485496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5485789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5485868Z return mod(*inputs) 2025-09-07T07:39:04.5486198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5486287Z x = self.forward_features(x) 2025-09-07T07:39:04.5486648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5486723Z x = self.blocks(x) 2025-09-07T07:39:04.5487076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5487152Z x = self.conv_pw(x) 2025-09-07T07:39:04.5487474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5487612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5487948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5488083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5488087Z 2025-09-07T07:39:04.5488289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5488583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5488659Z return mod(*inputs) 2025-09-07T07:39:04.5488986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5489071Z x = self.forward_features(x) 2025-09-07T07:39:04.5489432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5489509Z x = self.blocks(x) 2025-09-07T07:39:04.5489860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5489996Z x = self.conv_pw(x) 2025-09-07T07:39:04.5490314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5490452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5490785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5490921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5490925Z 2025-09-07T07:39:04.5491026Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5491122Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5491259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5491544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5491618Z return mod(*inputs) 2025-09-07T07:39:04.5491950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5492035Z x = self.forward_features(x) 2025-09-07T07:39:04.5492401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5492475Z x = self.blocks(x) 2025-09-07T07:39:04.5492826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5492907Z x = self.conv_pw(x) 2025-09-07T07:39:04.5493223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5493304Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5493309Z 2025-09-07T07:39:04.5493445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5493730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5493812Z return mod(*inputs) 2025-09-07T07:39:04.5494135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5494223Z x = self.forward_features(x) 2025-09-07T07:39:04.5494587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5494661Z x = self.blocks(x) 2025-09-07T07:39:04.5495012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5495084Z x = self.bn1(x) 2025-09-07T07:39:04.5495391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5495463Z x = F.batch_norm( 2025-09-07T07:39:04.5495468Z 2025-09-07T07:39:04.5495605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5495890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5495970Z return mod(*inputs) 2025-09-07T07:39:04.5496296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5496469Z x = self.forward_features(x) 2025-09-07T07:39:04.5496842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5496916Z x = self.blocks(x) 2025-09-07T07:39:04.5497265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5497338Z x = self.bn1(x) 2025-09-07T07:39:04.5497641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5497714Z x = self.act(x) 2025-09-07T07:39:04.5497718Z 2025-09-07T07:39:04.5497814Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5498008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5498296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5498371Z return mod(*inputs) 2025-09-07T07:39:04.5498700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5498786Z x = self.forward_features(x) 2025-09-07T07:39:04.5499145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5499220Z x = self.blocks(x) 2025-09-07T07:39:04.5499571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5499648Z x = self.conv_dw(x) 2025-09-07T07:39:04.5499963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5500107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5500436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5500576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5500580Z 2025-09-07T07:39:04.5500682Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5500816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5501105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5501179Z return mod(*inputs) 2025-09-07T07:39:04.5501506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5501595Z x = self.forward_features(x) 2025-09-07T07:39:04.5501955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5502037Z x = self.blocks(x) 2025-09-07T07:39:04.5502390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5502465Z x = self.conv_dw(x) 2025-09-07T07:39:04.5502799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5509567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5509982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5510123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5510129Z 2025-09-07T07:39:04.5510230Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5510366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5510657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5510745Z return mod(*inputs) 2025-09-07T07:39:04.5511074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5511163Z x = self.forward_features(x) 2025-09-07T07:39:04.5511683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5511769Z x = self.blocks(x) 2025-09-07T07:39:04.5512124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5512197Z x = self.conv_dw(x) 2025-09-07T07:39:04.5512518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5512653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5512982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5513206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5513210Z 2025-09-07T07:39:04.5513306Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5513444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5513732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5513809Z return mod(*inputs) 2025-09-07T07:39:04.5514137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5514223Z x = self.forward_features(x) 2025-09-07T07:39:04.5514589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5514662Z x = self.blocks(x) 2025-09-07T07:39:04.5515014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5515091Z x = self.conv_dw(x) 2025-09-07T07:39:04.5515406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5515544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5515877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5516017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5516021Z 2025-09-07T07:39:04.5516117Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5516211Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5516308Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5516400Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5516535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5516820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5516898Z return mod(*inputs) 2025-09-07T07:39:04.5517228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5517314Z x = self.forward_features(x) 2025-09-07T07:39:04.5517682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5517753Z x = self.blocks(x) 2025-09-07T07:39:04.5518101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5518179Z x = self.conv_dw(x) 2025-09-07T07:39:04.5518497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5518577Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5518582Z 2025-09-07T07:39:04.5518679Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5518814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5519104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5519178Z return mod(*inputs) 2025-09-07T07:39:04.5519595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5519687Z x = self.forward_features(x) 2025-09-07T07:39:04.5520056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5520129Z x = self.blocks(x) 2025-09-07T07:39:04.5520481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5520553Z x = self.se(x) 2025-09-07T07:39:04.5520900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.5520991Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.5521070Z 2025-09-07T07:39:04.5521208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5521494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5521572Z return mod(*inputs) 2025-09-07T07:39:04.5521899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5521987Z x = self.forward_features(x) 2025-09-07T07:39:04.5522348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5522419Z x = self.blocks(x) 2025-09-07T07:39:04.5522771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5522839Z x = self.se(x) 2025-09-07T07:39:04.5523188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5523277Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5523282Z 2025-09-07T07:39:04.5523418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5523707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5523783Z return mod(*inputs) 2025-09-07T07:39:04.5524110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5524195Z x = self.forward_features(x) 2025-09-07T07:39:04.5524559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5524631Z x = self.blocks(x) 2025-09-07T07:39:04.5524980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5525051Z x = self.se(x) 2025-09-07T07:39:04.5525397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5525484Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5525488Z 2025-09-07T07:39:04.5525620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5525908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5525985Z return mod(*inputs) 2025-09-07T07:39:04.5526306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5526395Z x = self.forward_features(x) 2025-09-07T07:39:04.5526755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5526826Z x = self.blocks(x) 2025-09-07T07:39:04.5527178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5527250Z x = self.se(x) 2025-09-07T07:39:04.5527600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5527684Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5527689Z 2025-09-07T07:39:04.5527923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5528212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5528287Z return mod(*inputs) 2025-09-07T07:39:04.5528613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5528699Z x = self.forward_features(x) 2025-09-07T07:39:04.5529064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5529135Z x = self.blocks(x) 2025-09-07T07:39:04.5529486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5529658Z x = self.se(x) 2025-09-07T07:39:04.5530003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5530094Z return x * self.gate(x_se) 2025-09-07T07:39:04.5530099Z 2025-09-07T07:39:04.5530234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5530517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5530596Z return mod(*inputs) 2025-09-07T07:39:04.5530920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5531007Z x = self.forward_features(x) 2025-09-07T07:39:04.5531367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5531439Z x = self.blocks(x) 2025-09-07T07:39:04.5531795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5531863Z x = self.se(x) 2025-09-07T07:39:04.5532217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5532299Z return x * self.gate(x_se) 2025-09-07T07:39:04.5532303Z 2025-09-07T07:39:04.5532401Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5532533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5532816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5532891Z return mod(*inputs) 2025-09-07T07:39:04.5533213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5533298Z x = self.forward_features(x) 2025-09-07T07:39:04.5533662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5533738Z x = self.blocks(x) 2025-09-07T07:39:04.5534093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5534173Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5534497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5534635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5534963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5535103Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5535107Z 2025-09-07T07:39:04.5535202Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5535341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5535625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5535708Z return mod(*inputs) 2025-09-07T07:39:04.5536031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5536195Z x = self.forward_features(x) 2025-09-07T07:39:04.5536572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5536644Z x = self.blocks(x) 2025-09-07T07:39:04.5536998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5537074Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5537390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5537529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5537858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5538063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5538068Z 2025-09-07T07:39:04.5538169Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5538264Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5538399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5538685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5538764Z return mod(*inputs) 2025-09-07T07:39:04.5539087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5539170Z x = self.forward_features(x) 2025-09-07T07:39:04.5539535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5539606Z x = self.blocks(x) 2025-09-07T07:39:04.5539963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5540039Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5540360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5540439Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5540443Z 2025-09-07T07:39:04.5540577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5540865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5540940Z return mod(*inputs) 2025-09-07T07:39:04.5541268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5541354Z x = self.forward_features(x) 2025-09-07T07:39:04.5541716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5541796Z x = self.blocks(x) 2025-09-07T07:39:04.5542145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5542238Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5542242Z 2025-09-07T07:39:04.5542375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5542657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5542736Z return mod(*inputs) 2025-09-07T07:39:04.5543058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5543146Z x = self.forward_features(x) 2025-09-07T07:39:04.5543509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5543585Z x = self.blocks(x) 2025-09-07T07:39:04.5543935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5544013Z x = self.conv_pw(x) 2025-09-07T07:39:04.5544425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5544584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5544917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5545056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5545063Z 2025-09-07T07:39:04.5545203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5545492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5545566Z return mod(*inputs) 2025-09-07T07:39:04.5545891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5546059Z x = self.forward_features(x) 2025-09-07T07:39:04.5546422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5546501Z x = self.blocks(x) 2025-09-07T07:39:04.5546851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5546927Z x = self.conv_pw(x) 2025-09-07T07:39:04.5547241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5547379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5547709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5547845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5547850Z 2025-09-07T07:39:04.5547953Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5548047Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5548183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5548471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5548546Z return mod(*inputs) 2025-09-07T07:39:04.5548875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5548959Z x = self.forward_features(x) 2025-09-07T07:39:04.5549321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5549393Z x = self.blocks(x) 2025-09-07T07:39:04.5549745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5549821Z x = self.conv_pw(x) 2025-09-07T07:39:04.5550143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5550222Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5550226Z 2025-09-07T07:39:04.5550360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5550648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5550725Z return mod(*inputs) 2025-09-07T07:39:04.5551047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5551136Z x = self.forward_features(x) 2025-09-07T07:39:04.5551496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5551572Z x = self.blocks(x) 2025-09-07T07:39:04.5551920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5551994Z x = self.bn1(x) 2025-09-07T07:39:04.5552301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5552372Z x = F.batch_norm( 2025-09-07T07:39:04.5552377Z 2025-09-07T07:39:04.5552593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5552883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5552957Z return mod(*inputs) 2025-09-07T07:39:04.5553283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5553366Z x = self.forward_features(x) 2025-09-07T07:39:04.5553730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5553803Z x = self.blocks(x) 2025-09-07T07:39:04.5554151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5554286Z x = self.bn1(x) 2025-09-07T07:39:04.5554586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5554659Z x = self.act(x) 2025-09-07T07:39:04.5554667Z 2025-09-07T07:39:04.5554763Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5554894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5555181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5555258Z return mod(*inputs) 2025-09-07T07:39:04.5555584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5555671Z x = self.forward_features(x) 2025-09-07T07:39:04.5556036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5556112Z x = self.blocks(x) 2025-09-07T07:39:04.5556464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5556543Z x = self.conv_dw(x) 2025-09-07T07:39:04.5556861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5557004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5557332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5557467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5557471Z 2025-09-07T07:39:04.5557571Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5557704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5557991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5558070Z return mod(*inputs) 2025-09-07T07:39:04.5558394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5558480Z x = self.forward_features(x) 2025-09-07T07:39:04.5558846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5558923Z x = self.blocks(x) 2025-09-07T07:39:04.5559272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5559345Z x = self.conv_dw(x) 2025-09-07T07:39:04.5559663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5559799Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5560127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5560266Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5560271Z 2025-09-07T07:39:04.5560370Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5560505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5560878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5560962Z return mod(*inputs) 2025-09-07T07:39:04.5561286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5561371Z x = self.forward_features(x) 2025-09-07T07:39:04.5561732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5561804Z x = self.blocks(x) 2025-09-07T07:39:04.5562157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5562313Z x = self.conv_dw(x) 2025-09-07T07:39:04.5562631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5562767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5563098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5563237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5563241Z 2025-09-07T07:39:04.5563427Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5563572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5563858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5563935Z return mod(*inputs) 2025-09-07T07:39:04.5564258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5564347Z x = self.forward_features(x) 2025-09-07T07:39:04.5564709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5564781Z x = self.blocks(x) 2025-09-07T07:39:04.5565140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5565214Z x = self.conv_dw(x) 2025-09-07T07:39:04.5565529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5565666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5565994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5566132Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5566136Z 2025-09-07T07:39:04.5566231Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5566330Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5566427Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5566523Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5566659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5566950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5567024Z return mod(*inputs) 2025-09-07T07:39:04.5567354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5567438Z x = self.forward_features(x) 2025-09-07T07:39:04.5567802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5567874Z x = self.blocks(x) 2025-09-07T07:39:04.5568222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5568304Z x = self.conv_dw(x) 2025-09-07T07:39:04.5568620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5568700Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5568705Z 2025-09-07T07:39:04.5568929Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5569074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5569357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5569433Z return mod(*inputs) 2025-09-07T07:39:04.5569760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5569846Z x = self.forward_features(x) 2025-09-07T07:39:04.5570209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5570281Z x = self.blocks(x) 2025-09-07T07:39:04.5570742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5570814Z x = self.se(x) 2025-09-07T07:39:04.5571164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.5571254Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.5571258Z 2025-09-07T07:39:04.5571391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5571673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5571752Z return mod(*inputs) 2025-09-07T07:39:04.5572072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5572162Z x = self.forward_features(x) 2025-09-07T07:39:04.5572526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5572604Z x = self.blocks(x) 2025-09-07T07:39:04.5572958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5573027Z x = self.se(x) 2025-09-07T07:39:04.5573381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5573466Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5573471Z 2025-09-07T07:39:04.5573605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5573887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5573961Z return mod(*inputs) 2025-09-07T07:39:04.5574287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5574371Z x = self.forward_features(x) 2025-09-07T07:39:04.5574735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5574811Z x = self.blocks(x) 2025-09-07T07:39:04.5575162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5575234Z x = self.se(x) 2025-09-07T07:39:04.5575579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5575659Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5575664Z 2025-09-07T07:39:04.5575796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5576079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5576157Z return mod(*inputs) 2025-09-07T07:39:04.5576479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5576568Z x = self.forward_features(x) 2025-09-07T07:39:04.5576932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5577007Z x = self.blocks(x) 2025-09-07T07:39:04.5577449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5577522Z x = self.se(x) 2025-09-07T07:39:04.5577873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5577958Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5577962Z 2025-09-07T07:39:04.5578097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5578382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5578456Z return mod(*inputs) 2025-09-07T07:39:04.5578785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5578937Z x = self.forward_features(x) 2025-09-07T07:39:04.5579300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5579377Z x = self.blocks(x) 2025-09-07T07:39:04.5579726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5579797Z x = self.se(x) 2025-09-07T07:39:04.5580141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5580227Z return x * self.gate(x_se) 2025-09-07T07:39:04.5580231Z 2025-09-07T07:39:04.5580366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5580652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5580728Z return mod(*inputs) 2025-09-07T07:39:04.5581056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5581145Z x = self.forward_features(x) 2025-09-07T07:39:04.5581510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5581585Z x = self.blocks(x) 2025-09-07T07:39:04.5581933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5582001Z x = self.se(x) 2025-09-07T07:39:04.5582360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5582443Z return x * self.gate(x_se) 2025-09-07T07:39:04.5582448Z 2025-09-07T07:39:04.5582544Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5582679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5582961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5583042Z return mod(*inputs) 2025-09-07T07:39:04.5583368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5583457Z x = self.forward_features(x) 2025-09-07T07:39:04.5583820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5583894Z x = self.blocks(x) 2025-09-07T07:39:04.5584246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5584324Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5584644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5584782Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5585109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5585252Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5585256Z 2025-09-07T07:39:04.5585352Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5585582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5585872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5585947Z return mod(*inputs) 2025-09-07T07:39:04.5586275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5586360Z x = self.forward_features(x) 2025-09-07T07:39:04.5586722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5586795Z x = self.blocks(x) 2025-09-07T07:39:04.5587144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5587292Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5587607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5587749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5588079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5588217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5588222Z 2025-09-07T07:39:04.5588319Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5588413Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5588548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5588835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5588911Z return mod(*inputs) 2025-09-07T07:39:04.5589240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5589324Z x = self.forward_features(x) 2025-09-07T07:39:04.5589691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5589764Z x = self.blocks(x) 2025-09-07T07:39:04.5590116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5590192Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5590508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5590589Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5590594Z 2025-09-07T07:39:04.5590726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5591014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5591092Z return mod(*inputs) 2025-09-07T07:39:04.5591418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5591506Z x = self.forward_features(x) 2025-09-07T07:39:04.5591871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5591947Z x = self.blocks(x) 2025-09-07T07:39:04.5592295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5592383Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5592387Z 2025-09-07T07:39:04.5592520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5592802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5592881Z return mod(*inputs) 2025-09-07T07:39:04.5593206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5593298Z x = self.forward_features(x) 2025-09-07T07:39:04.5593772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5593850Z x = self.blocks(x) 2025-09-07T07:39:04.5594206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5594281Z x = self.conv_pw(x) 2025-09-07T07:39:04.5594285Z 2025-09-07T07:39:04.5594423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5594707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5594782Z return mod(*inputs) 2025-09-07T07:39:04.5595111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5595275Z x = self.forward_features(x) 2025-09-07T07:39:04.5595638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5595710Z x = self.blocks(x) 2025-09-07T07:39:04.5596067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5596142Z x = self.conv_dw(x) 2025-09-07T07:39:04.5596147Z 2025-09-07T07:39:04.5596243Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5596379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5596660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5596737Z return mod(*inputs) 2025-09-07T07:39:04.5597061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5597146Z x = self.forward_features(x) 2025-09-07T07:39:04.5597518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5597589Z x = self.blocks(x) 2025-09-07T07:39:04.5597945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5598015Z x = self.se(x) 2025-09-07T07:39:04.5598363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.5598453Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.5598458Z 2025-09-07T07:39:04.5598592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5598880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5598955Z return mod(*inputs) 2025-09-07T07:39:04.5599279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5599371Z x = self.forward_features(x) 2025-09-07T07:39:04.5599732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5599807Z x = self.blocks(x) 2025-09-07T07:39:04.5600159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5600230Z x = self.se(x) 2025-09-07T07:39:04.5600580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5600665Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5600670Z 2025-09-07T07:39:04.5600807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5601090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5601167Z return mod(*inputs) 2025-09-07T07:39:04.5601491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5601579Z x = self.forward_features(x) 2025-09-07T07:39:04.5602035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5602114Z x = self.blocks(x) 2025-09-07T07:39:04.5602466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5602536Z x = self.se(x) 2025-09-07T07:39:04.5602882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5602964Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5602969Z 2025-09-07T07:39:04.5603101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5603392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5603468Z return mod(*inputs) 2025-09-07T07:39:04.5603861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5603949Z x = self.forward_features(x) 2025-09-07T07:39:04.5604310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5604386Z x = self.blocks(x) 2025-09-07T07:39:04.5604738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5604809Z x = self.se(x) 2025-09-07T07:39:04.5605155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5605241Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5605246Z 2025-09-07T07:39:04.5605381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5605668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5605750Z return mod(*inputs) 2025-09-07T07:39:04.5606073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5606163Z x = self.forward_features(x) 2025-09-07T07:39:04.5606528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5606602Z x = self.blocks(x) 2025-09-07T07:39:04.5606952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5607022Z x = self.se(x) 2025-09-07T07:39:04.5607367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5607453Z return x * self.gate(x_se) 2025-09-07T07:39:04.5607457Z 2025-09-07T07:39:04.5607591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5607883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5607958Z return mod(*inputs) 2025-09-07T07:39:04.5608290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5608376Z x = self.forward_features(x) 2025-09-07T07:39:04.5608735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5608811Z x = self.blocks(x) 2025-09-07T07:39:04.5609160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5609232Z x = self.se(x) 2025-09-07T07:39:04.5609577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5609660Z return x * self.gate(x_se) 2025-09-07T07:39:04.5609665Z 2025-09-07T07:39:04.5609805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5610089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5610166Z return mod(*inputs) 2025-09-07T07:39:04.5610543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5610631Z x = self.forward_features(x) 2025-09-07T07:39:04.5610996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5611069Z x = self.blocks(x) 2025-09-07T07:39:04.5611423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5611499Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5611504Z 2025-09-07T07:39:04.5611636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5611922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5612046Z return mod(*inputs) 2025-09-07T07:39:04.5612373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5612461Z x = self.forward_features(x) 2025-09-07T07:39:04.5612824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5612899Z x = self.blocks(x) 2025-09-07T07:39:04.5613249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:04.5613322Z x = self.bn3(x) 2025-09-07T07:39:04.5613627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5613700Z x = F.batch_norm( 2025-09-07T07:39:04.5613705Z 2025-09-07T07:39:04.5613837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5614127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5614206Z return mod(*inputs) 2025-09-07T07:39:04.5614532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5614619Z x = self.forward_features(x) 2025-09-07T07:39:04.5614983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5615056Z x = self.blocks(x) 2025-09-07T07:39:04.5615411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5615485Z x = self.conv_pw(x) 2025-09-07T07:39:04.5615806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5615943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5616276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5616416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5616420Z 2025-09-07T07:39:04.5616557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5616846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5616922Z return mod(*inputs) 2025-09-07T07:39:04.5617247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5617333Z x = self.forward_features(x) 2025-09-07T07:39:04.5617691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5617769Z x = self.blocks(x) 2025-09-07T07:39:04.5618120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5618200Z x = self.conv_pw(x) 2025-09-07T07:39:04.5618515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5618747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5619084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5619219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5619224Z 2025-09-07T07:39:04.5619321Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5619417Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5619550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5619836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5619911Z return mod(*inputs) 2025-09-07T07:39:04.5620304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5620389Z x = self.forward_features(x) 2025-09-07T07:39:04.5620757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5620829Z x = self.blocks(x) 2025-09-07T07:39:04.5621179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5621256Z x = self.conv_pw(x) 2025-09-07T07:39:04.5621571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5621651Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5621656Z 2025-09-07T07:39:04.5621789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5622072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5622154Z return mod(*inputs) 2025-09-07T07:39:04.5622477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5622565Z x = self.forward_features(x) 2025-09-07T07:39:04.5622928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5623002Z x = self.blocks(x) 2025-09-07T07:39:04.5623357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5623427Z x = self.bn1(x) 2025-09-07T07:39:04.5623732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5623803Z x = F.batch_norm( 2025-09-07T07:39:04.5623807Z 2025-09-07T07:39:04.5623942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5624229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5624308Z return mod(*inputs) 2025-09-07T07:39:04.5624633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5624721Z x = self.forward_features(x) 2025-09-07T07:39:04.5625086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5625159Z x = self.blocks(x) 2025-09-07T07:39:04.5625509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5625584Z x = self.bn1(x) 2025-09-07T07:39:04.5625886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5625959Z x = self.act(x) 2025-09-07T07:39:04.5625963Z 2025-09-07T07:39:04.5626058Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5626198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5626488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5626564Z return mod(*inputs) 2025-09-07T07:39:04.5627002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5627091Z x = self.forward_features(x) 2025-09-07T07:39:04.5627453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5627527Z x = self.blocks(x) 2025-09-07T07:39:04.5627879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5627958Z x = self.conv_dw(x) 2025-09-07T07:39:04.5628275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5628481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5628824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5628971Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5628976Z 2025-09-07T07:39:04.5629076Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5629209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5629496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5629570Z return mod(*inputs) 2025-09-07T07:39:04.5629895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5629982Z x = self.forward_features(x) 2025-09-07T07:39:04.5630342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5630422Z x = self.blocks(x) 2025-09-07T07:39:04.5630772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5630847Z x = self.conv_dw(x) 2025-09-07T07:39:04.5631171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5631308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5631638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5631774Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5631778Z 2025-09-07T07:39:04.5631874Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5632012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5632296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5632379Z return mod(*inputs) 2025-09-07T07:39:04.5632703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5632790Z x = self.forward_features(x) 2025-09-07T07:39:04.5633154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5633228Z x = self.blocks(x) 2025-09-07T07:39:04.5633582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5633654Z x = self.conv_dw(x) 2025-09-07T07:39:04.5633972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5634109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5634437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5634582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5634586Z 2025-09-07T07:39:04.5634682Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5634820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5635193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5635274Z return mod(*inputs) 2025-09-07T07:39:04.5635603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5635687Z x = self.forward_features(x) 2025-09-07T07:39:04.5636050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5636123Z x = self.blocks(x) 2025-09-07T07:39:04.5636474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5636616Z x = self.conv_dw(x) 2025-09-07T07:39:04.5636932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5637073Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5637404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5637541Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5637545Z 2025-09-07T07:39:04.5637642Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5637739Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5637835Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5637929Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5638064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5638352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5638431Z return mod(*inputs) 2025-09-07T07:39:04.5638757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5638840Z x = self.forward_features(x) 2025-09-07T07:39:04.5639207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5639281Z x = self.blocks(x) 2025-09-07T07:39:04.5639631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5639706Z x = self.conv_dw(x) 2025-09-07T07:39:04.5640022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5640102Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5640106Z 2025-09-07T07:39:04.5640239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5640522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5640605Z return mod(*inputs) 2025-09-07T07:39:04.5640927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5641019Z x = self.forward_features(x) 2025-09-07T07:39:04.5641379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5641454Z x = self.blocks(x) 2025-09-07T07:39:04.5641801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5641872Z x = self.bn2(x) 2025-09-07T07:39:04.5642176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5642246Z x = F.batch_norm( 2025-09-07T07:39:04.5642251Z 2025-09-07T07:39:04.5642386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5642677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5642753Z return mod(*inputs) 2025-09-07T07:39:04.5643159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5643248Z x = self.forward_features(x) 2025-09-07T07:39:04.5643613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5643685Z x = self.blocks(x) 2025-09-07T07:39:04.5644034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5644107Z x = self.bn2(x) 2025-09-07T07:39:04.5644409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5644482Z x = self.act(x) 2025-09-07T07:39:04.5644486Z 2025-09-07T07:39:04.5644680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5644964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5645043Z return mod(*inputs) 2025-09-07T07:39:04.5645370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5645457Z x = self.forward_features(x) 2025-09-07T07:39:04.5645817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5645892Z x = self.blocks(x) 2025-09-07T07:39:04.5646243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5646312Z x = self.se(x) 2025-09-07T07:39:04.5646661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5646749Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5646754Z 2025-09-07T07:39:04.5646888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5647169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5647248Z return mod(*inputs) 2025-09-07T07:39:04.5647574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5647660Z x = self.forward_features(x) 2025-09-07T07:39:04.5648020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5648094Z x = self.blocks(x) 2025-09-07T07:39:04.5648443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5648516Z x = self.se(x) 2025-09-07T07:39:04.5648862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5648946Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5648951Z 2025-09-07T07:39:04.5649082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5649370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5649446Z return mod(*inputs) 2025-09-07T07:39:04.5649768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5649856Z x = self.forward_features(x) 2025-09-07T07:39:04.5650217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5650292Z x = self.blocks(x) 2025-09-07T07:39:04.5650645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5650713Z x = self.se(x) 2025-09-07T07:39:04.5651067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5651152Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5651157Z 2025-09-07T07:39:04.5651253Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5651435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5651725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5651802Z return mod(*inputs) 2025-09-07T07:39:04.5652126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5652215Z x = self.forward_features(x) 2025-09-07T07:39:04.5652577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5652650Z x = self.blocks(x) 2025-09-07T07:39:04.5653003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5653151Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5653468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5653610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5653940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5654079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5654083Z 2025-09-07T07:39:04.5654181Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5654319Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5654604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5654684Z return mod(*inputs) 2025-09-07T07:39:04.5655008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5655096Z x = self.forward_features(x) 2025-09-07T07:39:04.5655466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5655540Z x = self.blocks(x) 2025-09-07T07:39:04.5655893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5655970Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5656286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5656427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5656756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5656892Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5656901Z 2025-09-07T07:39:04.5656997Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5657091Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5657226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5657514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5657592Z return mod(*inputs) 2025-09-07T07:39:04.5657916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5658004Z x = self.forward_features(x) 2025-09-07T07:39:04.5658368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5658440Z x = self.blocks(x) 2025-09-07T07:39:04.5658794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5658871Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5659192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5659269Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5659273Z 2025-09-07T07:39:04.5659538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5659831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5659906Z return mod(*inputs) 2025-09-07T07:39:04.5660232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5660318Z x = self.forward_features(x) 2025-09-07T07:39:04.5660678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5660754Z x = self.blocks(x) 2025-09-07T07:39:04.5661101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5661254Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5661259Z 2025-09-07T07:39:04.5661392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5661681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5661755Z return mod(*inputs) 2025-09-07T07:39:04.5662079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5662167Z x = self.forward_features(x) 2025-09-07T07:39:04.5662528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5662602Z x = self.blocks(x) 2025-09-07T07:39:04.5662951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5663025Z x = self.conv_pw(x) 2025-09-07T07:39:04.5663413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5663551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5663886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5664022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5664027Z 2025-09-07T07:39:04.5664160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5664447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5664520Z return mod(*inputs) 2025-09-07T07:39:04.5664850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5664933Z x = self.forward_features(x) 2025-09-07T07:39:04.5665293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5665373Z x = self.blocks(x) 2025-09-07T07:39:04.5665722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5665802Z x = self.conv_pw(x) 2025-09-07T07:39:04.5666117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5666256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5666584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5666721Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5666726Z 2025-09-07T07:39:04.5666825Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5666920Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5667054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5667341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5667416Z return mod(*inputs) 2025-09-07T07:39:04.5667865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5667954Z x = self.forward_features(x) 2025-09-07T07:39:04.5668316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5668388Z x = self.blocks(x) 2025-09-07T07:39:04.5668739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5668815Z x = self.conv_pw(x) 2025-09-07T07:39:04.5669131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5669211Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5669300Z 2025-09-07T07:39:04.5669437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5669723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5669797Z return mod(*inputs) 2025-09-07T07:39:04.5670122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5670210Z x = self.forward_features(x) 2025-09-07T07:39:04.5670571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5670646Z x = self.blocks(x) 2025-09-07T07:39:04.5670995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5671065Z x = self.bn1(x) 2025-09-07T07:39:04.5671370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5671444Z x = F.batch_norm( 2025-09-07T07:39:04.5671448Z 2025-09-07T07:39:04.5671584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5671869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5671946Z return mod(*inputs) 2025-09-07T07:39:04.5672274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5672358Z x = self.forward_features(x) 2025-09-07T07:39:04.5672719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5672793Z x = self.blocks(x) 2025-09-07T07:39:04.5673143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5673217Z x = self.bn1(x) 2025-09-07T07:39:04.5673518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5673595Z x = self.act(x) 2025-09-07T07:39:04.5673599Z 2025-09-07T07:39:04.5673695Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5673829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5674119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5674193Z return mod(*inputs) 2025-09-07T07:39:04.5674520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5674605Z x = self.forward_features(x) 2025-09-07T07:39:04.5674972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5675045Z x = self.blocks(x) 2025-09-07T07:39:04.5675393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5675475Z x = self.conv_dw(x) 2025-09-07T07:39:04.5675792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5675931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5676349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5676494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5676499Z 2025-09-07T07:39:04.5676599Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5676732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5677019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5677094Z return mod(*inputs) 2025-09-07T07:39:04.5677418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5677574Z x = self.forward_features(x) 2025-09-07T07:39:04.5677934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5678011Z x = self.blocks(x) 2025-09-07T07:39:04.5678366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5678443Z x = self.conv_dw(x) 2025-09-07T07:39:04.5678759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5678894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5679224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5679359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5679363Z 2025-09-07T07:39:04.5679463Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5679601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5679887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5679965Z return mod(*inputs) 2025-09-07T07:39:04.5680290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5680378Z x = self.forward_features(x) 2025-09-07T07:39:04.5680737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5680812Z x = self.blocks(x) 2025-09-07T07:39:04.5681167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5681241Z x = self.conv_dw(x) 2025-09-07T07:39:04.5681561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5681700Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5682028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5682169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5682174Z 2025-09-07T07:39:04.5682270Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5682406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5682691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5682769Z return mod(*inputs) 2025-09-07T07:39:04.5683091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5683177Z x = self.forward_features(x) 2025-09-07T07:39:04.5683543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5683620Z x = self.blocks(x) 2025-09-07T07:39:04.5683974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5684048Z x = self.conv_dw(x) 2025-09-07T07:39:04.5684452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5684597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5684926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5685063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5685067Z 2025-09-07T07:39:04.5685163Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5685257Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5685353Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5685447Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5685668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5685955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5686029Z return mod(*inputs) 2025-09-07T07:39:04.5686362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5686447Z x = self.forward_features(x) 2025-09-07T07:39:04.5686816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5686891Z x = self.blocks(x) 2025-09-07T07:39:04.5687243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5687317Z x = self.conv_dw(x) 2025-09-07T07:39:04.5687633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5687717Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5687721Z 2025-09-07T07:39:04.5687854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5688141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5688219Z return mod(*inputs) 2025-09-07T07:39:04.5688540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5688629Z x = self.forward_features(x) 2025-09-07T07:39:04.5688989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5689065Z x = self.blocks(x) 2025-09-07T07:39:04.5689415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5689484Z x = self.bn2(x) 2025-09-07T07:39:04.5689790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5689866Z x = F.batch_norm( 2025-09-07T07:39:04.5689871Z 2025-09-07T07:39:04.5690007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5690294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5690369Z return mod(*inputs) 2025-09-07T07:39:04.5690695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5690781Z x = self.forward_features(x) 2025-09-07T07:39:04.5691148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5691221Z x = self.blocks(x) 2025-09-07T07:39:04.5691574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5691645Z x = self.bn2(x) 2025-09-07T07:39:04.5691950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5692024Z x = self.act(x) 2025-09-07T07:39:04.5692028Z 2025-09-07T07:39:04.5692161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5692538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5692618Z return mod(*inputs) 2025-09-07T07:39:04.5692940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5693028Z x = self.forward_features(x) 2025-09-07T07:39:04.5693387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5693464Z x = self.blocks(x) 2025-09-07T07:39:04.5693813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5693945Z x = self.se(x) 2025-09-07T07:39:04.5694296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5694379Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5694384Z 2025-09-07T07:39:04.5694524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5694812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5694889Z return mod(*inputs) 2025-09-07T07:39:04.5695216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5695301Z x = self.forward_features(x) 2025-09-07T07:39:04.5695665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5695738Z x = self.blocks(x) 2025-09-07T07:39:04.5696088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5696161Z x = self.se(x) 2025-09-07T07:39:04.5696506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5696590Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5696595Z 2025-09-07T07:39:04.5696729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5697017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5697092Z return mod(*inputs) 2025-09-07T07:39:04.5697416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5697504Z x = self.forward_features(x) 2025-09-07T07:39:04.5697864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5697940Z x = self.blocks(x) 2025-09-07T07:39:04.5698294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5698363Z x = self.se(x) 2025-09-07T07:39:04.5698715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5698800Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5698804Z 2025-09-07T07:39:04.5698905Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5699039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5699324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5699399Z return mod(*inputs) 2025-09-07T07:39:04.5699723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5699810Z x = self.forward_features(x) 2025-09-07T07:39:04.5700170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5700249Z x = self.blocks(x) 2025-09-07T07:39:04.5700601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5700756Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5701086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5701223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5701553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5701689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5701694Z 2025-09-07T07:39:04.5701790Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5701928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5702214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5702369Z return mod(*inputs) 2025-09-07T07:39:04.5702694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5702783Z x = self.forward_features(x) 2025-09-07T07:39:04.5703147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5703219Z x = self.blocks(x) 2025-09-07T07:39:04.5703572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5703650Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5703971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5704107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5704435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5704581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5704585Z 2025-09-07T07:39:04.5704684Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5704780Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5704913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5705199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5705277Z return mod(*inputs) 2025-09-07T07:39:04.5705599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5705685Z x = self.forward_features(x) 2025-09-07T07:39:04.5706044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5706116Z x = self.blocks(x) 2025-09-07T07:39:04.5706476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5706553Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5706875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5706952Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5706957Z 2025-09-07T07:39:04.5707091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5707375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5707450Z return mod(*inputs) 2025-09-07T07:39:04.5707778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5707864Z x = self.forward_features(x) 2025-09-07T07:39:04.5708226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5708304Z x = self.blocks(x) 2025-09-07T07:39:04.5708655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5708817Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5708822Z 2025-09-07T07:39:04.5708960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5709246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5709321Z return mod(*inputs) 2025-09-07T07:39:04.5709645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5709734Z x = self.forward_features(x) 2025-09-07T07:39:04.5710094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5710168Z x = self.blocks(x) 2025-09-07T07:39:04.5710519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5710656Z x = self.conv_pw(x) 2025-09-07T07:39:04.5710980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5711117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5711449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5711585Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5711590Z 2025-09-07T07:39:04.5711732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5712014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5712088Z return mod(*inputs) 2025-09-07T07:39:04.5712414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5712503Z x = self.forward_features(x) 2025-09-07T07:39:04.5712864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5712942Z x = self.blocks(x) 2025-09-07T07:39:04.5713291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5713369Z x = self.conv_pw(x) 2025-09-07T07:39:04.5713683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5713823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5714152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5714286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5714293Z 2025-09-07T07:39:04.5714393Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5714487Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5714621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5714908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5714987Z return mod(*inputs) 2025-09-07T07:39:04.5715311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5715397Z x = self.forward_features(x) 2025-09-07T07:39:04.5715760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5715833Z x = self.blocks(x) 2025-09-07T07:39:04.5716184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5716259Z x = self.conv_pw(x) 2025-09-07T07:39:04.5716578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5716658Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5716662Z 2025-09-07T07:39:04.5716796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5717196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5717275Z return mod(*inputs) 2025-09-07T07:39:04.5717601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5717689Z x = self.forward_features(x) 2025-09-07T07:39:04.5718049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5718123Z x = self.blocks(x) 2025-09-07T07:39:04.5718471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5718608Z x = self.bn1(x) 2025-09-07T07:39:04.5718912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5718983Z x = F.batch_norm( 2025-09-07T07:39:04.5718988Z 2025-09-07T07:39:04.5719127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5719412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5719489Z return mod(*inputs) 2025-09-07T07:39:04.5719813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5719900Z x = self.forward_features(x) 2025-09-07T07:39:04.5720267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5720340Z x = self.blocks(x) 2025-09-07T07:39:04.5720693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5720768Z x = self.bn1(x) 2025-09-07T07:39:04.5721069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5721141Z x = self.act(x) 2025-09-07T07:39:04.5721149Z 2025-09-07T07:39:04.5721244Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5721380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5721666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5721740Z return mod(*inputs) 2025-09-07T07:39:04.5722066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5722151Z x = self.forward_features(x) 2025-09-07T07:39:04.5722516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5722592Z x = self.blocks(x) 2025-09-07T07:39:04.5722944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5723021Z x = self.conv_dw(x) 2025-09-07T07:39:04.5723340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5723479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5723808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5723946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5723951Z 2025-09-07T07:39:04.5724046Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5724178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5724465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5724545Z return mod(*inputs) 2025-09-07T07:39:04.5724873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5724957Z x = self.forward_features(x) 2025-09-07T07:39:04.5725406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5725490Z x = self.blocks(x) 2025-09-07T07:39:04.5725843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5725920Z x = self.conv_dw(x) 2025-09-07T07:39:04.5726235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5726372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5726703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5726910Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5726914Z 2025-09-07T07:39:04.5727013Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5727145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5727434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5727518Z return mod(*inputs) 2025-09-07T07:39:04.5727844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5727932Z x = self.forward_features(x) 2025-09-07T07:39:04.5728290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5728366Z x = self.blocks(x) 2025-09-07T07:39:04.5728718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5728795Z x = self.conv_dw(x) 2025-09-07T07:39:04.5729114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5729250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5729584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5729720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5729725Z 2025-09-07T07:39:04.5729821Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5729955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5730240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5730318Z return mod(*inputs) 2025-09-07T07:39:04.5730642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5730730Z x = self.forward_features(x) 2025-09-07T07:39:04.5731093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5731165Z x = self.blocks(x) 2025-09-07T07:39:04.5731522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5731596Z x = self.conv_dw(x) 2025-09-07T07:39:04.5731914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5732048Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5732377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5732518Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5732522Z 2025-09-07T07:39:04.5732618Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5732720Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5732815Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5732907Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5733042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5733414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5733496Z return mod(*inputs) 2025-09-07T07:39:04.5733819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5733904Z x = self.forward_features(x) 2025-09-07T07:39:04.5734268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5734342Z x = self.blocks(x) 2025-09-07T07:39:04.5734695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5734845Z x = self.conv_dw(x) 2025-09-07T07:39:04.5735160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5735239Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5735244Z 2025-09-07T07:39:04.5735381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5735668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5735744Z return mod(*inputs) 2025-09-07T07:39:04.5736068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5736154Z x = self.forward_features(x) 2025-09-07T07:39:04.5736517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5736592Z x = self.blocks(x) 2025-09-07T07:39:04.5736947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5737024Z x = self.bn2(x) 2025-09-07T07:39:04.5737327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5737401Z x = F.batch_norm( 2025-09-07T07:39:04.5737405Z 2025-09-07T07:39:04.5737540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5737827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5737908Z return mod(*inputs) 2025-09-07T07:39:04.5738232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5738318Z x = self.forward_features(x) 2025-09-07T07:39:04.5738683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5738755Z x = self.blocks(x) 2025-09-07T07:39:04.5739112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:04.5739183Z x = self.bn2(x) 2025-09-07T07:39:04.5739489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5739562Z x = self.act(x) 2025-09-07T07:39:04.5739567Z 2025-09-07T07:39:04.5739699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5739987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5740061Z return mod(*inputs) 2025-09-07T07:39:04.5740385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5740471Z x = self.forward_features(x) 2025-09-07T07:39:04.5740832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5740912Z x = self.blocks(x) 2025-09-07T07:39:04.5741261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5741332Z x = self.se(x) 2025-09-07T07:39:04.5741772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5741862Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5741866Z 2025-09-07T07:39:04.5742001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5742284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5742360Z return mod(*inputs) 2025-09-07T07:39:04.5742685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5742768Z x = self.forward_features(x) 2025-09-07T07:39:04.5743134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5743274Z x = self.blocks(x) 2025-09-07T07:39:04.5743629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5743700Z x = self.se(x) 2025-09-07T07:39:04.5744047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5744129Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5744133Z 2025-09-07T07:39:04.5744267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5744554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5744629Z return mod(*inputs) 2025-09-07T07:39:04.5744956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5745041Z x = self.forward_features(x) 2025-09-07T07:39:04.5745406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5745482Z x = self.blocks(x) 2025-09-07T07:39:04.5745834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5745905Z x = self.se(x) 2025-09-07T07:39:04.5746250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5746334Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5746339Z 2025-09-07T07:39:04.5746437Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5746774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5747061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5747136Z return mod(*inputs) 2025-09-07T07:39:04.5747462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5747554Z x = self.forward_features(x) 2025-09-07T07:39:04.5747917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5747997Z x = self.blocks(x) 2025-09-07T07:39:04.5748346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5748426Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5748743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5748880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5749212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5749348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5749355Z 2025-09-07T07:39:04.5749456Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5749589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5749873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5750075Z return mod(*inputs) 2025-09-07T07:39:04.5750407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5750493Z x = self.forward_features(x) 2025-09-07T07:39:04.5750855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5750926Z x = self.blocks(x) 2025-09-07T07:39:04.5751278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5751354Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5751670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5751874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5752204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5752344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5752348Z 2025-09-07T07:39:04.5752444Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5752541Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5752673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5752960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5753035Z return mod(*inputs) 2025-09-07T07:39:04.5753360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5753449Z x = self.forward_features(x) 2025-09-07T07:39:04.5753816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5753892Z x = self.blocks(x) 2025-09-07T07:39:04.5754246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5754324Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5754643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5754721Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5754725Z 2025-09-07T07:39:04.5754861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5755143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5755218Z return mod(*inputs) 2025-09-07T07:39:04.5755546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5755636Z x = self.forward_features(x) 2025-09-07T07:39:04.5755999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5756072Z x = self.blocks(x) 2025-09-07T07:39:04.5756424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5756513Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5756518Z 2025-09-07T07:39:04.5756651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5756942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5757015Z return mod(*inputs) 2025-09-07T07:39:04.5757339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5757424Z x = self.forward_features(x) 2025-09-07T07:39:04.5757785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5757864Z x = self.blocks(x) 2025-09-07T07:39:04.5758293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5758382Z x = self.conv_pw(x) 2025-09-07T07:39:04.5758386Z 2025-09-07T07:39:04.5758520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5758802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5758880Z return mod(*inputs) 2025-09-07T07:39:04.5759204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5759291Z x = self.forward_features(x) 2025-09-07T07:39:04.5759651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5759787Z x = self.blocks(x) 2025-09-07T07:39:04.5760139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5760209Z x = self.bn1(x) 2025-09-07T07:39:04.5760517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5760589Z x = F.batch_norm( 2025-09-07T07:39:04.5760593Z 2025-09-07T07:39:04.5760728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5761013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5761087Z return mod(*inputs) 2025-09-07T07:39:04.5761415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5761500Z x = self.forward_features(x) 2025-09-07T07:39:04.5761862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5761939Z x = self.blocks(x) 2025-09-07T07:39:04.5762291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5762369Z x = self.bn1(x) 2025-09-07T07:39:04.5762671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5762744Z x = self.act(x) 2025-09-07T07:39:04.5762749Z 2025-09-07T07:39:04.5762882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5763170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5763250Z return mod(*inputs) 2025-09-07T07:39:04.5763666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5763756Z x = self.forward_features(x) 2025-09-07T07:39:04.5764117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5764195Z x = self.blocks(x) 2025-09-07T07:39:04.5764551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5764625Z x = self.conv_dw(x) 2025-09-07T07:39:04.5764944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5765082Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5765414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5765550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5765863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5765940Z return conv2d_same( 2025-09-07T07:39:04.5766273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5766401Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5766827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5767029Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5767326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5767449Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5767454Z 2025-09-07T07:39:04.5767590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5767875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5767954Z return mod(*inputs) 2025-09-07T07:39:04.5768363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5768447Z x = self.forward_features(x) 2025-09-07T07:39:04.5768814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5768888Z x = self.blocks(x) 2025-09-07T07:39:04.5769241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5769316Z x = self.conv_dw(x) 2025-09-07T07:39:04.5769632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5769773Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5770103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5770240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5770558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5770633Z return conv2d_same( 2025-09-07T07:39:04.5770968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5771139Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5771144Z 2025-09-07T07:39:04.5771280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5771565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5771642Z return mod(*inputs) 2025-09-07T07:39:04.5771967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5772052Z x = self.forward_features(x) 2025-09-07T07:39:04.5772417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5772494Z x = self.blocks(x) 2025-09-07T07:39:04.5772847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5772925Z x = self.conv_dw(x) 2025-09-07T07:39:04.5773242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5773381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5773708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5773848Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5774159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5774234Z return conv2d_same( 2025-09-07T07:39:04.5774569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5774693Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5775088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5775285Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5775577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5775699Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5775704Z 2025-09-07T07:39:04.5775838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5776126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5776200Z return mod(*inputs) 2025-09-07T07:39:04.5776527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5776696Z x = self.forward_features(x) 2025-09-07T07:39:04.5777061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5777137Z x = self.blocks(x) 2025-09-07T07:39:04.5777488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5777563Z x = self.conv_dw(x) 2025-09-07T07:39:04.5777881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5778018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5778349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5778484Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5778803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5778878Z return conv2d_same( 2025-09-07T07:39:04.5779211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5779382Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5779387Z 2025-09-07T07:39:04.5779521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5779811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5779887Z return mod(*inputs) 2025-09-07T07:39:04.5780213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5780296Z x = self.forward_features(x) 2025-09-07T07:39:04.5780663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5780743Z x = self.blocks(x) 2025-09-07T07:39:04.5781094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5781175Z x = self.conv_dw(x) 2025-09-07T07:39:04.5781490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5781627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5781957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5782092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5782408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5782481Z return conv2d_same( 2025-09-07T07:39:04.5782810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5782938Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5783317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5783513Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5783803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5783928Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5783933Z 2025-09-07T07:39:04.5784067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5784353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5784431Z return mod(*inputs) 2025-09-07T07:39:04.5784757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5784911Z x = self.forward_features(x) 2025-09-07T07:39:04.5785273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5785349Z x = self.blocks(x) 2025-09-07T07:39:04.5785704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5785778Z x = self.conv_dw(x) 2025-09-07T07:39:04.5786096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5786232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5786563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5786698Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5787013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5787091Z return conv2d_same( 2025-09-07T07:39:04.5787423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5787597Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5787601Z 2025-09-07T07:39:04.5787734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5788017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5788498Z return mod(*inputs) 2025-09-07T07:39:04.5788964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5789477Z x = self.forward_features(x) 2025-09-07T07:39:04.5790000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5790536Z x = self.blocks(x) 2025-09-07T07:39:04.5791014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5791538Z x = self.conv_dw(x) 2025-09-07T07:39:04.5791989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5792538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5793100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5793665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5794220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5794705Z return conv2d_same( 2025-09-07T07:39:04.5795164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:39:04.5795723Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:39:04.5796244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:39:04.5796946Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:39:04.5797541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:39:04.5798049Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:39:04.5798270Z 2025-09-07T07:39:04.5798404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5804665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5805222Z return mod(*inputs) 2025-09-07T07:39:04.5805683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5806333Z x = self.forward_features(x) 2025-09-07T07:39:04.5806855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5807391Z x = self.blocks(x) 2025-09-07T07:39:04.5807870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5808384Z x = self.conv_dw(x) 2025-09-07T07:39:04.5808830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5809380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5809942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5810503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5811046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:39:04.5811534Z return conv2d_same( 2025-09-07T07:39:04.5811992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:39:04.5812587Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:39:04.5812855Z 2025-09-07T07:39:04.5812956Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5813229Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5813502Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5813773Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5814087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5814596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5815052Z return mod(*inputs) 2025-09-07T07:39:04.5815511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5816020Z x = self.forward_features(x) 2025-09-07T07:39:04.5816535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5817067Z x = self.blocks(x) 2025-09-07T07:39:04.5817547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5818068Z x = self.conv_dw(x) 2025-09-07T07:39:04.5818515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5819002Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5819149Z 2025-09-07T07:39:04.5819245Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5819559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5820073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5820530Z return mod(*inputs) 2025-09-07T07:39:04.5820984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5821488Z x = self.forward_features(x) 2025-09-07T07:39:04.5822132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5822670Z x = self.blocks(x) 2025-09-07T07:39:04.5823146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5823659Z x = self.se(x) 2025-09-07T07:39:04.5824122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.5824649Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.5824825Z 2025-09-07T07:39:04.5824958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5825566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5826021Z return mod(*inputs) 2025-09-07T07:39:04.5826476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5826980Z x = self.forward_features(x) 2025-09-07T07:39:04.5827494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5828019Z x = self.blocks(x) 2025-09-07T07:39:04.5828496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5829007Z x = self.se(x) 2025-09-07T07:39:04.5829466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5829990Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5830156Z 2025-09-07T07:39:04.5830293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5830805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5831259Z return mod(*inputs) 2025-09-07T07:39:04.5831712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5832218Z x = self.forward_features(x) 2025-09-07T07:39:04.5832736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5833262Z x = self.blocks(x) 2025-09-07T07:39:04.5833739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5834253Z x = self.se(x) 2025-09-07T07:39:04.5834715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5835232Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5835380Z 2025-09-07T07:39:04.5835518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5836026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5836486Z return mod(*inputs) 2025-09-07T07:39:04.5836937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5837444Z x = self.forward_features(x) 2025-09-07T07:39:04.5837961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5838490Z x = self.blocks(x) 2025-09-07T07:39:04.5838968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5839480Z x = self.se(x) 2025-09-07T07:39:04.5839941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5840471Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5840632Z 2025-09-07T07:39:04.5840768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5841390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5841851Z return mod(*inputs) 2025-09-07T07:39:04.5842308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5842811Z x = self.forward_features(x) 2025-09-07T07:39:04.5843333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5843855Z x = self.blocks(x) 2025-09-07T07:39:04.5844333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5844845Z x = self.se(x) 2025-09-07T07:39:04.5845413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5845930Z return x * self.gate(x_se) 2025-09-07T07:39:04.5846085Z 2025-09-07T07:39:04.5846217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5846729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5847182Z return mod(*inputs) 2025-09-07T07:39:04.5847633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5848130Z x = self.forward_features(x) 2025-09-07T07:39:04.5848647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5849170Z x = self.blocks(x) 2025-09-07T07:39:04.5849645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5850159Z x = self.se(x) 2025-09-07T07:39:04.5850616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5851135Z return x * self.gate(x_se) 2025-09-07T07:39:04.5851286Z 2025-09-07T07:39:04.5851425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5851936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5852386Z return mod(*inputs) 2025-09-07T07:39:04.5852838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5853345Z x = self.forward_features(x) 2025-09-07T07:39:04.5853862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5854385Z x = self.blocks(x) 2025-09-07T07:39:04.5854863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5855387Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5855524Z 2025-09-07T07:39:04.5855662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5856177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5856629Z return mod(*inputs) 2025-09-07T07:39:04.5857081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5857584Z x = self.forward_features(x) 2025-09-07T07:39:04.5858103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5858626Z x = self.blocks(x) 2025-09-07T07:39:04.5859101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:04.5859614Z x = self.bn3(x) 2025-09-07T07:39:04.5860038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5860509Z x = F.batch_norm( 2025-09-07T07:39:04.5860633Z 2025-09-07T07:39:04.5860887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5861408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5861862Z return mod(*inputs) 2025-09-07T07:39:04.5862313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5862812Z x = self.forward_features(x) 2025-09-07T07:39:04.5863416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5863949Z x = self.blocks(x) 2025-09-07T07:39:04.5864428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5865103Z x = self.conv_pw(x) 2025-09-07T07:39:04.5865234Z 2025-09-07T07:39:04.5865366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5865878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5866332Z return mod(*inputs) 2025-09-07T07:39:04.5866781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5867281Z x = self.forward_features(x) 2025-09-07T07:39:04.5867799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5868324Z x = self.blocks(x) 2025-09-07T07:39:04.5868801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5869311Z x = self.bn1(x) 2025-09-07T07:39:04.5869724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5870196Z x = F.batch_norm( 2025-09-07T07:39:04.5870324Z 2025-09-07T07:39:04.5870455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5870969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5871419Z return mod(*inputs) 2025-09-07T07:39:04.5871871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5872370Z x = self.forward_features(x) 2025-09-07T07:39:04.5872890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5873415Z x = self.blocks(x) 2025-09-07T07:39:04.5873887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5874403Z x = self.bn1(x) 2025-09-07T07:39:04.5874823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5875287Z x = self.act(x) 2025-09-07T07:39:04.5875403Z 2025-09-07T07:39:04.5875498Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5875816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5876328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5876780Z return mod(*inputs) 2025-09-07T07:39:04.5877235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5877734Z x = self.forward_features(x) 2025-09-07T07:39:04.5878253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5878782Z x = self.blocks(x) 2025-09-07T07:39:04.5879261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5879778Z x = self.conv_dw(x) 2025-09-07T07:39:04.5880219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5880938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5881508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5882065Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5882295Z 2025-09-07T07:39:04.5882390Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5882703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5883208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5883662Z return mod(*inputs) 2025-09-07T07:39:04.5884111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5884702Z x = self.forward_features(x) 2025-09-07T07:39:04.5885221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5885752Z x = self.blocks(x) 2025-09-07T07:39:04.5886229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5886744Z x = self.conv_dw(x) 2025-09-07T07:39:04.5887185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5887731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5888287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5888846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5889082Z 2025-09-07T07:39:04.5889176Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5889489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5890001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5890468Z return mod(*inputs) 2025-09-07T07:39:04.5890921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5891425Z x = self.forward_features(x) 2025-09-07T07:39:04.5891949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5892479Z x = self.blocks(x) 2025-09-07T07:39:04.5892954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5893471Z x = self.conv_dw(x) 2025-09-07T07:39:04.5893915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5894469Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5895033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5895590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5895826Z 2025-09-07T07:39:04.5895924Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5896238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5896746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5897201Z return mod(*inputs) 2025-09-07T07:39:04.5897657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5898162Z x = self.forward_features(x) 2025-09-07T07:39:04.5898684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5899218Z x = self.blocks(x) 2025-09-07T07:39:04.5899694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5900338Z x = self.conv_dw(x) 2025-09-07T07:39:04.5900793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5901338Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5901895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5902456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5902691Z 2025-09-07T07:39:04.5902787Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5903063Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5903338Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5903716Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5904027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5904541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5904996Z return mod(*inputs) 2025-09-07T07:39:04.5905448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5905952Z x = self.forward_features(x) 2025-09-07T07:39:04.5906472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5906997Z x = self.blocks(x) 2025-09-07T07:39:04.5907471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5907990Z x = self.conv_dw(x) 2025-09-07T07:39:04.5908435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5908928Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5909071Z 2025-09-07T07:39:04.5909169Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5909485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5909997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5910449Z return mod(*inputs) 2025-09-07T07:39:04.5910904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5911402Z x = self.forward_features(x) 2025-09-07T07:39:04.5911923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5912448Z x = self.blocks(x) 2025-09-07T07:39:04.5912925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5913441Z x = self.se(x) 2025-09-07T07:39:04.5913896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.5914424Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.5914606Z 2025-09-07T07:39:04.5914740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5915253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5915713Z return mod(*inputs) 2025-09-07T07:39:04.5916170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5916675Z x = self.forward_features(x) 2025-09-07T07:39:04.5917196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5917727Z x = self.blocks(x) 2025-09-07T07:39:04.5918206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5918725Z x = self.se(x) 2025-09-07T07:39:04.5919317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.5919849Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.5920011Z 2025-09-07T07:39:04.5920148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5920655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5921109Z return mod(*inputs) 2025-09-07T07:39:04.5921564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5922070Z x = self.forward_features(x) 2025-09-07T07:39:04.5922587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5923194Z x = self.blocks(x) 2025-09-07T07:39:04.5923672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5924183Z x = self.se(x) 2025-09-07T07:39:04.5924649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.5925167Z x_se = self.act1(x_se) 2025-09-07T07:39:04.5925310Z 2025-09-07T07:39:04.5925445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5925958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5926411Z return mod(*inputs) 2025-09-07T07:39:04.5926862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5927364Z x = self.forward_features(x) 2025-09-07T07:39:04.5927881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5928413Z x = self.blocks(x) 2025-09-07T07:39:04.5928890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5929405Z x = self.se(x) 2025-09-07T07:39:04.5929865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.5930388Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.5930551Z 2025-09-07T07:39:04.5930687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5931195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5931652Z return mod(*inputs) 2025-09-07T07:39:04.5932104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5932608Z x = self.forward_features(x) 2025-09-07T07:39:04.5933133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5933656Z x = self.blocks(x) 2025-09-07T07:39:04.5934137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5934650Z x = self.se(x) 2025-09-07T07:39:04.5935113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5935630Z return x * self.gate(x_se) 2025-09-07T07:39:04.5935786Z 2025-09-07T07:39:04.5935918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5936427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5936882Z return mod(*inputs) 2025-09-07T07:39:04.5937334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5937842Z x = self.forward_features(x) 2025-09-07T07:39:04.5938365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5938893Z x = self.blocks(x) 2025-09-07T07:39:04.5939485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.5940005Z x = self.se(x) 2025-09-07T07:39:04.5940466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.5940986Z return x * self.gate(x_se) 2025-09-07T07:39:04.5941138Z 2025-09-07T07:39:04.5941236Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5941551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5942057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5942512Z return mod(*inputs) 2025-09-07T07:39:04.5943039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5943540Z x = self.forward_features(x) 2025-09-07T07:39:04.5944059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5944586Z x = self.blocks(x) 2025-09-07T07:39:04.5945063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5945584Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5946035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5946581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5947144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5947708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5947940Z 2025-09-07T07:39:04.5948039Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5948352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5948862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5949317Z return mod(*inputs) 2025-09-07T07:39:04.5949774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5950274Z x = self.forward_features(x) 2025-09-07T07:39:04.5950790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5951317Z x = self.blocks(x) 2025-09-07T07:39:04.5951793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5952313Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5952768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5953322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5953889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5954449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5954680Z 2025-09-07T07:39:04.5954779Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5955050Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5955365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5955873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5956329Z return mod(*inputs) 2025-09-07T07:39:04.5956783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5957294Z x = self.forward_features(x) 2025-09-07T07:39:04.5957814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5958454Z x = self.blocks(x) 2025-09-07T07:39:04.5958944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.5959461Z x = self.conv_pwl(x) 2025-09-07T07:39:04.5959913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.5960402Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.5960545Z 2025-09-07T07:39:04.5960682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5961190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5961642Z return mod(*inputs) 2025-09-07T07:39:04.5962095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5962717Z x = self.forward_features(x) 2025-09-07T07:39:04.5963238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5963826Z x = self.blocks(x) 2025-09-07T07:39:04.5964305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.5964834Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.5965004Z 2025-09-07T07:39:04.5965139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5965648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5966099Z return mod(*inputs) 2025-09-07T07:39:04.5966549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5967057Z x = self.forward_features(x) 2025-09-07T07:39:04.5967574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5968095Z x = self.blocks(x) 2025-09-07T07:39:04.5968575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.5969095Z x = self.conv_pw(x) 2025-09-07T07:39:04.5969227Z 2025-09-07T07:39:04.5969363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5969872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5970324Z return mod(*inputs) 2025-09-07T07:39:04.5970776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5971280Z x = self.forward_features(x) 2025-09-07T07:39:04.5971797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5972325Z x = self.blocks(x) 2025-09-07T07:39:04.5972805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5973324Z x = self.bn1(x) 2025-09-07T07:39:04.5973742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.5974210Z x = F.batch_norm( 2025-09-07T07:39:04.5974337Z 2025-09-07T07:39:04.5974468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5974979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5975434Z return mod(*inputs) 2025-09-07T07:39:04.5975887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5976386Z x = self.forward_features(x) 2025-09-07T07:39:04.5976912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5977440Z x = self.blocks(x) 2025-09-07T07:39:04.5978097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.5978624Z x = self.bn1(x) 2025-09-07T07:39:04.5979040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.5979505Z x = self.act(x) 2025-09-07T07:39:04.5979621Z 2025-09-07T07:39:04.5979721Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5980036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5980552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5981009Z return mod(*inputs) 2025-09-07T07:39:04.5981462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5982076Z x = self.forward_features(x) 2025-09-07T07:39:04.5982591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5983120Z x = self.blocks(x) 2025-09-07T07:39:04.5983602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5984121Z x = self.conv_dw(x) 2025-09-07T07:39:04.5984567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5985114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5985676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5986233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5986464Z 2025-09-07T07:39:04.5986570Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5986881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5987387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5987847Z return mod(*inputs) 2025-09-07T07:39:04.5988305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5988809Z x = self.forward_features(x) 2025-09-07T07:39:04.5989324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5989854Z x = self.blocks(x) 2025-09-07T07:39:04.5990332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5990853Z x = self.conv_dw(x) 2025-09-07T07:39:04.5991299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5991851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5992415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5992980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5993213Z 2025-09-07T07:39:04.5993313Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.5993626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.5994137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.5994592Z return mod(*inputs) 2025-09-07T07:39:04.5995045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.5995549Z x = self.forward_features(x) 2025-09-07T07:39:04.5996067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.5996601Z x = self.blocks(x) 2025-09-07T07:39:04.5997082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.5997740Z x = self.conv_dw(x) 2025-09-07T07:39:04.5998235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.5998785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.5999346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.5999904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6000135Z 2025-09-07T07:39:04.6000233Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6000544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6001051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6002194Z return mod(*inputs) 2025-09-07T07:39:04.6002649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6003156Z x = self.forward_features(x) 2025-09-07T07:39:04.6003678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6004206Z x = self.blocks(x) 2025-09-07T07:39:04.6004684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6005204Z x = self.conv_dw(x) 2025-09-07T07:39:04.6005646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6006195Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6006757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6007321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6007552Z 2025-09-07T07:39:04.6007651Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6007928Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6008204Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6008479Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6008791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6009298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6009754Z return mod(*inputs) 2025-09-07T07:39:04.6010209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6010716Z x = self.forward_features(x) 2025-09-07T07:39:04.6011232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6011765Z x = self.blocks(x) 2025-09-07T07:39:04.6012246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6012768Z x = self.conv_dw(x) 2025-09-07T07:39:04.6013214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.6013701Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.6013848Z 2025-09-07T07:39:04.6013943Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6014260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6014770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6015222Z return mod(*inputs) 2025-09-07T07:39:04.6015674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6016183Z x = self.forward_features(x) 2025-09-07T07:39:04.6016702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6017231Z x = self.blocks(x) 2025-09-07T07:39:04.6017830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6018355Z x = self.se(x) 2025-09-07T07:39:04.6018816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.6019345Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.6019519Z 2025-09-07T07:39:04.6019653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6020165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6020621Z return mod(*inputs) 2025-09-07T07:39:04.6021079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6021664Z x = self.forward_features(x) 2025-09-07T07:39:04.6022185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6022711Z x = self.blocks(x) 2025-09-07T07:39:04.6023190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6023701Z x = self.se(x) 2025-09-07T07:39:04.6024162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.6024686Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.6024854Z 2025-09-07T07:39:04.6024986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6025498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6025956Z return mod(*inputs) 2025-09-07T07:39:04.6026404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6026910Z x = self.forward_features(x) 2025-09-07T07:39:04.6027433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6027956Z x = self.blocks(x) 2025-09-07T07:39:04.6028431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6028945Z x = self.se(x) 2025-09-07T07:39:04.6029404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.6029923Z x_se = self.act1(x_se) 2025-09-07T07:39:04.6030064Z 2025-09-07T07:39:04.6030198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6030706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6031166Z return mod(*inputs) 2025-09-07T07:39:04.6031618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6032129Z x = self.forward_features(x) 2025-09-07T07:39:04.6032647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6033179Z x = self.blocks(x) 2025-09-07T07:39:04.6033655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6033724Z x = self.se(x) 2025-09-07T07:39:04.6034071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.6034155Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.6034160Z 2025-09-07T07:39:04.6034295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6034585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6034660Z return mod(*inputs) 2025-09-07T07:39:04.6035094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6035187Z x = self.forward_features(x) 2025-09-07T07:39:04.6035551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6035624Z x = self.blocks(x) 2025-09-07T07:39:04.6035978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6036045Z x = self.se(x) 2025-09-07T07:39:04.6036389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.6036474Z return x * self.gate(x_se) 2025-09-07T07:39:04.6036542Z 2025-09-07T07:39:04.6036679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6036963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6037038Z return mod(*inputs) 2025-09-07T07:39:04.6037364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6037452Z x = self.forward_features(x) 2025-09-07T07:39:04.6037812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6037888Z x = self.blocks(x) 2025-09-07T07:39:04.6038235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6038302Z x = self.se(x) 2025-09-07T07:39:04.6038650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.6038736Z return x * self.gate(x_se) 2025-09-07T07:39:04.6038741Z 2025-09-07T07:39:04.6038839Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6038972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6039260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6039337Z return mod(*inputs) 2025-09-07T07:39:04.6039661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6039747Z x = self.forward_features(x) 2025-09-07T07:39:04.6040108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6040183Z x = self.blocks(x) 2025-09-07T07:39:04.6040533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.6040608Z x = self.conv_pwl(x) 2025-09-07T07:39:04.6040930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6041069Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6041404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6041540Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6041544Z 2025-09-07T07:39:04.6041640Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6041777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6042059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6042137Z return mod(*inputs) 2025-09-07T07:39:04.6042464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6042549Z x = self.forward_features(x) 2025-09-07T07:39:04.6042915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6042988Z x = self.blocks(x) 2025-09-07T07:39:04.6043428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.6043510Z x = self.conv_pwl(x) 2025-09-07T07:39:04.6043824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6043966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6044308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6044447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6044452Z 2025-09-07T07:39:04.6044549Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6044645Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6044876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6045161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6045239Z return mod(*inputs) 2025-09-07T07:39:04.6045568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6045654Z x = self.forward_features(x) 2025-09-07T07:39:04.6046012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6046085Z x = self.blocks(x) 2025-09-07T07:39:04.6046438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.6046513Z x = self.conv_pwl(x) 2025-09-07T07:39:04.6046832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.6046913Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.6046918Z 2025-09-07T07:39:04.6047050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6047339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6047412Z return mod(*inputs) 2025-09-07T07:39:04.6047739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6047824Z x = self.forward_features(x) 2025-09-07T07:39:04.6048189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6048262Z x = self.blocks(x) 2025-09-07T07:39:04.6048610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.6048698Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.6048702Z 2025-09-07T07:39:04.6048839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6049124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6049199Z return mod(*inputs) 2025-09-07T07:39:04.6049526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6049615Z x = self.forward_features(x) 2025-09-07T07:39:04.6049974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6050052Z x = self.blocks(x) 2025-09-07T07:39:04.6050402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:04.6050475Z x = self.conv_pw(x) 2025-09-07T07:39:04.6050479Z 2025-09-07T07:39:04.6050616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6050901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6050981Z return mod(*inputs) 2025-09-07T07:39:04.6051307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6051480Z x = self.forward_features(x) 2025-09-07T07:39:04.6051851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6051922Z x = self.blocks(x) 2025-09-07T07:39:04.6052276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.6052348Z x = self.bn1(x) 2025-09-07T07:39:04.6052655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:04.6052726Z x = F.batch_norm( 2025-09-07T07:39:04.6052730Z 2025-09-07T07:39:04.6052863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6053219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6053294Z return mod(*inputs) 2025-09-07T07:39:04.6053624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6053708Z x = self.forward_features(x) 2025-09-07T07:39:04.6054068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6054144Z x = self.blocks(x) 2025-09-07T07:39:04.6054494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:04.6054566Z x = self.bn1(x) 2025-09-07T07:39:04.6054871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:04.6054941Z x = self.act(x) 2025-09-07T07:39:04.6054945Z 2025-09-07T07:39:04.6055049Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6055182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6055469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6055548Z return mod(*inputs) 2025-09-07T07:39:04.6055874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6055960Z x = self.forward_features(x) 2025-09-07T07:39:04.6056319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6056394Z x = self.blocks(x) 2025-09-07T07:39:04.6056745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6056821Z x = self.conv_dw(x) 2025-09-07T07:39:04.6057138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6057278Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6057610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6057749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6057753Z 2025-09-07T07:39:04.6057853Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6057986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6058271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6058348Z return mod(*inputs) 2025-09-07T07:39:04.6058672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6058760Z x = self.forward_features(x) 2025-09-07T07:39:04.6059122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6059198Z x = self.blocks(x) 2025-09-07T07:39:04.6059550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6059703Z x = self.conv_dw(x) 2025-09-07T07:39:04.6060027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6060171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6060501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6060636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6060641Z 2025-09-07T07:39:04.6060737Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6060872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6061158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6061301Z return mod(*inputs) 2025-09-07T07:39:04.6061626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6061714Z x = self.forward_features(x) 2025-09-07T07:39:04.6062079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6062152Z x = self.blocks(x) 2025-09-07T07:39:04.6062506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6062581Z x = self.conv_dw(x) 2025-09-07T07:39:04.6062896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6063034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6063427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6063571Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6063576Z 2025-09-07T07:39:04.6063671Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6063810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6064093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6064167Z return mod(*inputs) 2025-09-07T07:39:04.6064492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6064576Z x = self.forward_features(x) 2025-09-07T07:39:04.6064938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6065010Z x = self.blocks(x) 2025-09-07T07:39:04.6065360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6065441Z x = self.conv_dw(x) 2025-09-07T07:39:04.6065757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6065900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6066226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6066362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6066366Z 2025-09-07T07:39:04.6066464Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6066558Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6066653Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6066746Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6066880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6067166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6067247Z return mod(*inputs) 2025-09-07T07:39:04.6067572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6067791Z x = self.forward_features(x) 2025-09-07T07:39:04.6068162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6068239Z x = self.blocks(x) 2025-09-07T07:39:04.6068588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:04.6068664Z x = self.conv_dw(x) 2025-09-07T07:39:04.6068981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.6069062Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.6069067Z 2025-09-07T07:39:04.6069162Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6069383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6069672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6069747Z return mod(*inputs) 2025-09-07T07:39:04.6070078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6070164Z x = self.forward_features(x) 2025-09-07T07:39:04.6070524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6070599Z x = self.blocks(x) 2025-09-07T07:39:04.6070947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6071019Z x = self.se(x) 2025-09-07T07:39:04.6071364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:04.6071455Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:04.6071459Z 2025-09-07T07:39:04.6071594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6071880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6071961Z return mod(*inputs) 2025-09-07T07:39:04.6072283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6072367Z x = self.forward_features(x) 2025-09-07T07:39:04.6072729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6072801Z x = self.blocks(x) 2025-09-07T07:39:04.6073151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6073219Z x = self.se(x) 2025-09-07T07:39:04.6073568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:04.6073655Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:04.6073660Z 2025-09-07T07:39:04.6073792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6074085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6074161Z return mod(*inputs) 2025-09-07T07:39:04.6074488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6074572Z x = self.forward_features(x) 2025-09-07T07:39:04.6074930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6075006Z x = self.blocks(x) 2025-09-07T07:39:04.6075355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6075426Z x = self.se(x) 2025-09-07T07:39:04.6075777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:04.6075856Z x_se = self.act1(x_se) 2025-09-07T07:39:04.6075861Z 2025-09-07T07:39:04.6076087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6076377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6076455Z return mod(*inputs) 2025-09-07T07:39:04.6076781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6076866Z x = self.forward_features(x) 2025-09-07T07:39:04.6077228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6077300Z x = self.blocks(x) 2025-09-07T07:39:04.6077654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6077815Z x = self.se(x) 2025-09-07T07:39:04.6078162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:04.6078248Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:04.6078256Z 2025-09-07T07:39:04.6078389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6078674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6078750Z return mod(*inputs) 2025-09-07T07:39:04.6079082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6079168Z x = self.forward_features(x) 2025-09-07T07:39:04.6079529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6079604Z x = self.blocks(x) 2025-09-07T07:39:04.6079952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6080028Z x = self.se(x) 2025-09-07T07:39:04.6080377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.6080460Z return x * self.gate(x_se) 2025-09-07T07:39:04.6080468Z 2025-09-07T07:39:04.6080602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6080886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6080963Z return mod(*inputs) 2025-09-07T07:39:04.6081289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6081377Z x = self.forward_features(x) 2025-09-07T07:39:04.6081737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6081813Z x = self.blocks(x) 2025-09-07T07:39:04.6082166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:04.6082236Z x = self.se(x) 2025-09-07T07:39:04.6082588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:04.6082672Z return x * self.gate(x_se) 2025-09-07T07:39:04.6082676Z 2025-09-07T07:39:04.6082773Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6082908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6083191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6083268Z return mod(*inputs) 2025-09-07T07:39:04.6083594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6083678Z x = self.forward_features(x) 2025-09-07T07:39:04.6084046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6084118Z x = self.blocks(x) 2025-09-07T07:39:04.6084556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.6084646Z x = self.conv_pwl(x) 2025-09-07T07:39:04.6084963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6085102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6085428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6085567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6085571Z 2025-09-07T07:39:04.6085667Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6085804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6086148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6086223Z return mod(*inputs) 2025-09-07T07:39:04.6086553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6086639Z x = self.forward_features(x) 2025-09-07T07:39:04.6087003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6087076Z x = self.blocks(x) 2025-09-07T07:39:04.6087424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.6087504Z x = self.conv_pwl(x) 2025-09-07T07:39:04.6087819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:04.6087957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6088290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:04.6088424Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:04.6088432Z 2025-09-07T07:39:04.6088531Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6088626Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6088759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6089042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6089119Z return mod(*inputs) 2025-09-07T07:39:04.6089443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6089527Z x = self.forward_features(x) 2025-09-07T07:39:04.6089891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6089967Z x = self.blocks(x) 2025-09-07T07:39:04.6090319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:04.6090396Z x = self.conv_pwl(x) 2025-09-07T07:39:04.6090714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:04.6090796Z x = torch.cat(x_out, 1) 2025-09-07T07:39:04.6090800Z 2025-09-07T07:39:04.6090933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6091219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6091294Z return mod(*inputs) 2025-09-07T07:39:04.6091615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6091702Z x = self.forward_features(x) 2025-09-07T07:39:04.6092062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:04.6092142Z x = self.blocks(x) 2025-09-07T07:39:04.6092490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:04.6092657Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:04.6092667Z 2025-09-07T07:39:04.6092805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6093087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6093163Z return mod(*inputs) 2025-09-07T07:39:04.6093484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:04.6093571Z x = self.forward_features(x) 2025-09-07T07:39:04.6093931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T07:39:04.6094008Z x = self.conv_head(x) 2025-09-07T07:39:04.6094069Z 2025-09-07T07:39:04.6094171Z cudagraph partition due to non gpu ops 2025-09-07T07:39:04.6094305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6094593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6094669Z return mod(*inputs) 2025-09-07T07:39:04.6094994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:39:04.6095079Z x = self.forward_head(x) 2025-09-07T07:39:04.6095420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T07:39:04.6095504Z x = self.global_pool(x) 2025-09-07T07:39:04.6095862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T07:39:04.6095933Z x = self.pool(x) 2025-09-07T07:39:04.6095938Z 2025-09-07T07:39:04.6096077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:04.6096361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:04.6096438Z return mod(*inputs) 2025-09-07T07:39:04.6096763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:39:04.6096844Z x = self.forward_head(x) 2025-09-07T07:39:04.6097190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T07:39:04.6097309Z return x if pre_logits else self.classifier(x) 2025-09-07T07:39:04.6097314Z 2025-09-07T07:39:19.1825934Z pass 2025-09-07T07:39:19.1828470Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:21.2254434Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:39:21.2255719Z import pynvml # type: ignore[import] 2025-09-07T07:39:24.5312993Z 2025-09-07T07:39:25.0941212Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:25.0941489Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:25.1047240Z cpu eval tinynet_a 2025-09-07T07:39:25.9329354Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:26.3940342Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:26.8509408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:39.0462677Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.0462988Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.0463356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0463912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0464382Z return mod(*inputs) 2025-09-07T07:39:39.0465158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0465696Z x = self.forward_features(x) 2025-09-07T07:39:39.0466235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 251, in forward_features 2025-09-07T07:39:39.0466785Z x = self.conv_stem(x) 2025-09-07T07:39:39.0466926Z 2025-09-07T07:39:39.0467107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0467624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0468086Z return mod(*inputs) 2025-09-07T07:39:39.0468552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0469242Z x = self.forward_features(x) 2025-09-07T07:39:39.0469772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0470314Z x = self.blocks(x) 2025-09-07T07:39:39.0470799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 190, in forward 2025-09-07T07:39:39.0471327Z x = self.conv_dw(x) 2025-09-07T07:39:39.0471458Z 2025-09-07T07:39:39.0471598Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0472116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0472574Z return mod(*inputs) 2025-09-07T07:39:39.0473039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0473551Z x = self.forward_features(x) 2025-09-07T07:39:39.0474089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0474624Z x = self.blocks(x) 2025-09-07T07:39:39.0475110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T07:39:39.0475635Z x = self.bn1(x) 2025-09-07T07:39:39.0476061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0476535Z x = F.batch_norm( 2025-09-07T07:39:39.0476663Z 2025-09-07T07:39:39.0476802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0477321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0477783Z return mod(*inputs) 2025-09-07T07:39:39.0478242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0478759Z x = self.forward_features(x) 2025-09-07T07:39:39.0479314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0479850Z x = self.blocks(x) 2025-09-07T07:39:39.0480338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T07:39:39.0492868Z x = self.bn1(x) 2025-09-07T07:39:39.0493343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0493822Z x = self.act(x) 2025-09-07T07:39:39.0493943Z 2025-09-07T07:39:39.0494080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0494612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0495076Z return mod(*inputs) 2025-09-07T07:39:39.0495536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0496058Z x = self.forward_features(x) 2025-09-07T07:39:39.0496587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0497286Z x = self.blocks(x) 2025-09-07T07:39:39.0497804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T07:39:39.0498322Z x = self.se(x) 2025-09-07T07:39:39.0498785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0499319Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0499487Z 2025-09-07T07:39:39.0499622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0500141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0500598Z return mod(*inputs) 2025-09-07T07:39:39.0501144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0501660Z x = self.forward_features(x) 2025-09-07T07:39:39.0502187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0502719Z x = self.blocks(x) 2025-09-07T07:39:39.0503198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T07:39:39.0503716Z x = self.se(x) 2025-09-07T07:39:39.0504178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0504700Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0504843Z 2025-09-07T07:39:39.0504986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0505494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0505956Z return mod(*inputs) 2025-09-07T07:39:39.0506409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0506919Z x = self.forward_features(x) 2025-09-07T07:39:39.0507445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0507978Z x = self.blocks(x) 2025-09-07T07:39:39.0508464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T07:39:39.0508979Z x = self.se(x) 2025-09-07T07:39:39.0509442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0509963Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0510132Z 2025-09-07T07:39:39.0510266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0510782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0511248Z return mod(*inputs) 2025-09-07T07:39:39.0511700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0512214Z x = self.forward_features(x) 2025-09-07T07:39:39.0512737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0513265Z x = self.blocks(x) 2025-09-07T07:39:39.0513749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T07:39:39.0514263Z x = self.se(x) 2025-09-07T07:39:39.0514732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0515256Z return x * self.gate(x_se) 2025-09-07T07:39:39.0515410Z 2025-09-07T07:39:39.0515547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0516060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0516520Z return mod(*inputs) 2025-09-07T07:39:39.0517090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0517616Z x = self.forward_features(x) 2025-09-07T07:39:39.0518141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0518665Z x = self.blocks(x) 2025-09-07T07:39:39.0519145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T07:39:39.0519659Z x = self.se(x) 2025-09-07T07:39:39.0520121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0520642Z return x * self.gate(x_se) 2025-09-07T07:39:39.0520883Z 2025-09-07T07:39:39.0521017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0521532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0521989Z return mod(*inputs) 2025-09-07T07:39:39.0522451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0522953Z x = self.forward_features(x) 2025-09-07T07:39:39.0523478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0524006Z x = self.blocks(x) 2025-09-07T07:39:39.0524486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T07:39:39.0525011Z x = self.conv_pw(x) 2025-09-07T07:39:39.0525143Z 2025-09-07T07:39:39.0525684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0526205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0526660Z return mod(*inputs) 2025-09-07T07:39:39.0527121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0527625Z x = self.forward_features(x) 2025-09-07T07:39:39.0528146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0528671Z x = self.blocks(x) 2025-09-07T07:39:39.0529150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 195, in forward 2025-09-07T07:39:39.0529664Z x = self.bn2(x) 2025-09-07T07:39:39.0530083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0530553Z x = F.batch_norm( 2025-09-07T07:39:39.0530682Z 2025-09-07T07:39:39.0530816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0531334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0531787Z return mod(*inputs) 2025-09-07T07:39:39.0532248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0532767Z x = self.forward_features(x) 2025-09-07T07:39:39.0533290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0533821Z x = self.blocks(x) 2025-09-07T07:39:39.0534300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0534823Z x = self.conv_pw(x) 2025-09-07T07:39:39.0534959Z 2025-09-07T07:39:39.0535093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0535609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0536074Z return mod(*inputs) 2025-09-07T07:39:39.0536533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0537171Z x = self.forward_features(x) 2025-09-07T07:39:39.0537714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0538241Z x = self.blocks(x) 2025-09-07T07:39:39.0538721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0539241Z x = self.conv_dw(x) 2025-09-07T07:39:39.0539379Z 2025-09-07T07:39:39.0539513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0540029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0540481Z return mod(*inputs) 2025-09-07T07:39:39.0540936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0541538Z x = self.forward_features(x) 2025-09-07T07:39:39.0542067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0542598Z x = self.blocks(x) 2025-09-07T07:39:39.0543073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0543584Z x = self.bn2(x) 2025-09-07T07:39:39.0544007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0544477Z x = F.batch_norm( 2025-09-07T07:39:39.0544603Z 2025-09-07T07:39:39.0544737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0545246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0545707Z return mod(*inputs) 2025-09-07T07:39:39.0546165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0546670Z x = self.forward_features(x) 2025-09-07T07:39:39.0547192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0547717Z x = self.blocks(x) 2025-09-07T07:39:39.0548196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0548710Z x = self.bn2(x) 2025-09-07T07:39:39.0549127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0549593Z x = self.act(x) 2025-09-07T07:39:39.0549714Z 2025-09-07T07:39:39.0549848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0550361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0550821Z return mod(*inputs) 2025-09-07T07:39:39.0551277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0551783Z x = self.forward_features(x) 2025-09-07T07:39:39.0552310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0552843Z x = self.blocks(x) 2025-09-07T07:39:39.0553322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0553839Z x = self.se(x) 2025-09-07T07:39:39.0554305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0554835Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0555001Z 2025-09-07T07:39:39.0555139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0555659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0556118Z return mod(*inputs) 2025-09-07T07:39:39.0556700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0557232Z x = self.forward_features(x) 2025-09-07T07:39:39.0557751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0558282Z x = self.blocks(x) 2025-09-07T07:39:39.0558763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0559276Z x = self.se(x) 2025-09-07T07:39:39.0559739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0560257Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0560401Z 2025-09-07T07:39:39.0560636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0561149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0561607Z return mod(*inputs) 2025-09-07T07:39:39.0562067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0562569Z x = self.forward_features(x) 2025-09-07T07:39:39.0563091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0563718Z x = self.blocks(x) 2025-09-07T07:39:39.0564200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0564712Z x = self.se(x) 2025-09-07T07:39:39.0565174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0565702Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0565870Z 2025-09-07T07:39:39.0566008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0566517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0566973Z return mod(*inputs) 2025-09-07T07:39:39.0567430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0567935Z x = self.forward_features(x) 2025-09-07T07:39:39.0568451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0568977Z x = self.blocks(x) 2025-09-07T07:39:39.0569473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0569987Z x = self.se(x) 2025-09-07T07:39:39.0570448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0570973Z return x * self.gate(x_se) 2025-09-07T07:39:39.0571131Z 2025-09-07T07:39:39.0571264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0571782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0572236Z return mod(*inputs) 2025-09-07T07:39:39.0572693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0573196Z x = self.forward_features(x) 2025-09-07T07:39:39.0573716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0574243Z x = self.blocks(x) 2025-09-07T07:39:39.0574721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0575231Z x = self.se(x) 2025-09-07T07:39:39.0575697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0576220Z return x * self.gate(x_se) 2025-09-07T07:39:39.0576374Z 2025-09-07T07:39:39.0576697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0577222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0577674Z return mod(*inputs) 2025-09-07T07:39:39.0578131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0578634Z x = self.forward_features(x) 2025-09-07T07:39:39.0579154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0579681Z x = self.blocks(x) 2025-09-07T07:39:39.0580160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0580813Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0580953Z 2025-09-07T07:39:39.0581091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0581606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0582060Z return mod(*inputs) 2025-09-07T07:39:39.0582520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0583026Z x = self.forward_features(x) 2025-09-07T07:39:39.0583544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0584068Z x = self.blocks(x) 2025-09-07T07:39:39.0584546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:39.0585060Z x = self.bn3(x) 2025-09-07T07:39:39.0585479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0585952Z x = F.batch_norm( 2025-09-07T07:39:39.0586076Z 2025-09-07T07:39:39.0586208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0586724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0587179Z return mod(*inputs) 2025-09-07T07:39:39.0587638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0588139Z x = self.forward_features(x) 2025-09-07T07:39:39.0588661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0589190Z x = self.blocks(x) 2025-09-07T07:39:39.0589671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0590192Z x = self.conv_pw(x) 2025-09-07T07:39:39.0590328Z 2025-09-07T07:39:39.0590460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0590977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0591430Z return mod(*inputs) 2025-09-07T07:39:39.0591894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0592396Z x = self.forward_features(x) 2025-09-07T07:39:39.0592917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0593447Z x = self.blocks(x) 2025-09-07T07:39:39.0593929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0594454Z x = self.conv_dw(x) 2025-09-07T07:39:39.0594584Z 2025-09-07T07:39:39.0594718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0595240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0595698Z return mod(*inputs) 2025-09-07T07:39:39.0596863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0597398Z x = self.forward_features(x) 2025-09-07T07:39:39.0597922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0598450Z x = self.blocks(x) 2025-09-07T07:39:39.0598932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0599446Z x = self.bn2(x) 2025-09-07T07:39:39.0599863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0600332Z x = F.batch_norm( 2025-09-07T07:39:39.0600461Z 2025-09-07T07:39:39.0600594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0601181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0601634Z return mod(*inputs) 2025-09-07T07:39:39.0602092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0602601Z x = self.forward_features(x) 2025-09-07T07:39:39.0603123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0603651Z x = self.blocks(x) 2025-09-07T07:39:39.0604127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0604641Z x = self.bn2(x) 2025-09-07T07:39:39.0605060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0605530Z x = self.act(x) 2025-09-07T07:39:39.0605652Z 2025-09-07T07:39:39.0605785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0606299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0606757Z return mod(*inputs) 2025-09-07T07:39:39.0607215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0607715Z x = self.forward_features(x) 2025-09-07T07:39:39.0608232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0608759Z x = self.blocks(x) 2025-09-07T07:39:39.0609236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0609751Z x = self.se(x) 2025-09-07T07:39:39.0610209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0610737Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0610904Z 2025-09-07T07:39:39.0611037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0611552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0612011Z return mod(*inputs) 2025-09-07T07:39:39.0612464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0612968Z x = self.forward_features(x) 2025-09-07T07:39:39.0613488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0614018Z x = self.blocks(x) 2025-09-07T07:39:39.0614499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0615017Z x = self.se(x) 2025-09-07T07:39:39.0615478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0616005Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0616150Z 2025-09-07T07:39:39.0616288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0616940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0617414Z return mod(*inputs) 2025-09-07T07:39:39.0617871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0618376Z x = self.forward_features(x) 2025-09-07T07:39:39.0618889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0619417Z x = self.blocks(x) 2025-09-07T07:39:39.0619896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0620409Z x = self.se(x) 2025-09-07T07:39:39.0620935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0621457Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0621625Z 2025-09-07T07:39:39.0621762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0622276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0622733Z return mod(*inputs) 2025-09-07T07:39:39.0623184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0623688Z x = self.forward_features(x) 2025-09-07T07:39:39.0624209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0624737Z x = self.blocks(x) 2025-09-07T07:39:39.0625212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0625726Z x = self.se(x) 2025-09-07T07:39:39.0626188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0626713Z return x * self.gate(x_se) 2025-09-07T07:39:39.0626865Z 2025-09-07T07:39:39.0627002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0627509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0627962Z return mod(*inputs) 2025-09-07T07:39:39.0628416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0628923Z x = self.forward_features(x) 2025-09-07T07:39:39.0629443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0629968Z x = self.blocks(x) 2025-09-07T07:39:39.0630450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0630964Z x = self.se(x) 2025-09-07T07:39:39.0631426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0631947Z return x * self.gate(x_se) 2025-09-07T07:39:39.0632102Z 2025-09-07T07:39:39.0632235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0632751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0633209Z return mod(*inputs) 2025-09-07T07:39:39.0633667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0634170Z x = self.forward_features(x) 2025-09-07T07:39:39.0634693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0635229Z x = self.blocks(x) 2025-09-07T07:39:39.0635709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0636234Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0636372Z 2025-09-07T07:39:39.0636636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0637173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0637629Z return mod(*inputs) 2025-09-07T07:39:39.0638088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0638591Z x = self.forward_features(x) 2025-09-07T07:39:39.0639112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0639637Z x = self.blocks(x) 2025-09-07T07:39:39.0640117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.0640727Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.0640899Z 2025-09-07T07:39:39.0641032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0641549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0642007Z return mod(*inputs) 2025-09-07T07:39:39.0642460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0642962Z x = self.forward_features(x) 2025-09-07T07:39:39.0643486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0644018Z x = self.blocks(x) 2025-09-07T07:39:39.0644497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0645017Z x = self.conv_pw(x) 2025-09-07T07:39:39.0645153Z 2025-09-07T07:39:39.0645286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0645797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0646258Z return mod(*inputs) 2025-09-07T07:39:39.0646713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0647215Z x = self.forward_features(x) 2025-09-07T07:39:39.0647733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0648260Z x = self.blocks(x) 2025-09-07T07:39:39.0648738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0649260Z x = self.conv_dw(x) 2025-09-07T07:39:39.0649390Z 2025-09-07T07:39:39.0649523Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0650041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0650498Z return mod(*inputs) 2025-09-07T07:39:39.0650961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0651462Z x = self.forward_features(x) 2025-09-07T07:39:39.0651983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0652510Z x = self.blocks(x) 2025-09-07T07:39:39.0652990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0653504Z x = self.bn2(x) 2025-09-07T07:39:39.0653920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0654390Z x = F.batch_norm( 2025-09-07T07:39:39.0654519Z 2025-09-07T07:39:39.0654660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0655174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0655626Z return mod(*inputs) 2025-09-07T07:39:39.0656195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0656713Z x = self.forward_features(x) 2025-09-07T07:39:39.0657236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0657776Z x = self.blocks(x) 2025-09-07T07:39:39.0658253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0658771Z x = self.bn2(x) 2025-09-07T07:39:39.0659191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0659662Z x = self.act(x) 2025-09-07T07:39:39.0659864Z 2025-09-07T07:39:39.0659998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0660515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0660976Z return mod(*inputs) 2025-09-07T07:39:39.0661432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0661935Z x = self.forward_features(x) 2025-09-07T07:39:39.0662456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0662985Z x = self.blocks(x) 2025-09-07T07:39:39.0663545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0664064Z x = self.se(x) 2025-09-07T07:39:39.0664523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0665056Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0665222Z 2025-09-07T07:39:39.0665356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0665874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0666330Z return mod(*inputs) 2025-09-07T07:39:39.0666782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0667290Z x = self.forward_features(x) 2025-09-07T07:39:39.0667811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0668340Z x = self.blocks(x) 2025-09-07T07:39:39.0668818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0669333Z x = self.se(x) 2025-09-07T07:39:39.0669793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0670320Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0670462Z 2025-09-07T07:39:39.0670600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0671112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0671571Z return mod(*inputs) 2025-09-07T07:39:39.0672028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0672529Z x = self.forward_features(x) 2025-09-07T07:39:39.0673045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0673576Z x = self.blocks(x) 2025-09-07T07:39:39.0674057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0674575Z x = self.se(x) 2025-09-07T07:39:39.0675032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0675555Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0675724Z 2025-09-07T07:39:39.0676036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0676566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0677022Z return mod(*inputs) 2025-09-07T07:39:39.0677477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0677982Z x = self.forward_features(x) 2025-09-07T07:39:39.0678503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0679032Z x = self.blocks(x) 2025-09-07T07:39:39.0679513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0680158Z x = self.se(x) 2025-09-07T07:39:39.0680623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0681152Z return x * self.gate(x_se) 2025-09-07T07:39:39.0681307Z 2025-09-07T07:39:39.0681445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0681952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0682408Z return mod(*inputs) 2025-09-07T07:39:39.0682864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0683370Z x = self.forward_features(x) 2025-09-07T07:39:39.0683893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0684416Z x = self.blocks(x) 2025-09-07T07:39:39.0684898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0685411Z x = self.se(x) 2025-09-07T07:39:39.0685876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0686396Z return x * self.gate(x_se) 2025-09-07T07:39:39.0686552Z 2025-09-07T07:39:39.0686688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0687202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0687660Z return mod(*inputs) 2025-09-07T07:39:39.0688114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0688618Z x = self.forward_features(x) 2025-09-07T07:39:39.0689140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0689674Z x = self.blocks(x) 2025-09-07T07:39:39.0690153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0690674Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0690816Z 2025-09-07T07:39:39.0690950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0691461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0691915Z return mod(*inputs) 2025-09-07T07:39:39.0692370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0692875Z x = self.forward_features(x) 2025-09-07T07:39:39.0693402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0693935Z x = self.blocks(x) 2025-09-07T07:39:39.0694412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:39.0694931Z x = self.bn3(x) 2025-09-07T07:39:39.0695351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0695941Z x = F.batch_norm( 2025-09-07T07:39:39.0696084Z 2025-09-07T07:39:39.0696227Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0696740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0697192Z return mod(*inputs) 2025-09-07T07:39:39.0697645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0698149Z x = self.forward_features(x) 2025-09-07T07:39:39.0698674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0699205Z x = self.blocks(x) 2025-09-07T07:39:39.0699760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0700279Z x = self.conv_pw(x) 2025-09-07T07:39:39.0700410Z 2025-09-07T07:39:39.0700551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0701063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0701512Z return mod(*inputs) 2025-09-07T07:39:39.0701971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0702474Z x = self.forward_features(x) 2025-09-07T07:39:39.0702996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0703524Z x = self.blocks(x) 2025-09-07T07:39:39.0704000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0704524Z x = self.conv_dw(x) 2025-09-07T07:39:39.0704656Z 2025-09-07T07:39:39.0704792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0705305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0705756Z return mod(*inputs) 2025-09-07T07:39:39.0706212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0706717Z x = self.forward_features(x) 2025-09-07T07:39:39.0707239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0707766Z x = self.blocks(x) 2025-09-07T07:39:39.0708240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0708755Z x = self.bn2(x) 2025-09-07T07:39:39.0709177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0709652Z x = F.batch_norm( 2025-09-07T07:39:39.0709779Z 2025-09-07T07:39:39.0709914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0710430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0710887Z return mod(*inputs) 2025-09-07T07:39:39.0711342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0711847Z x = self.forward_features(x) 2025-09-07T07:39:39.0712372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0712907Z x = self.blocks(x) 2025-09-07T07:39:39.0713389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0713905Z x = self.bn2(x) 2025-09-07T07:39:39.0714326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0714797Z x = self.act(x) 2025-09-07T07:39:39.0714921Z 2025-09-07T07:39:39.0715193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0715720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0716181Z return mod(*inputs) 2025-09-07T07:39:39.0716633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0717138Z x = self.forward_features(x) 2025-09-07T07:39:39.0717661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0718191Z x = self.blocks(x) 2025-09-07T07:39:39.0718661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0719249Z x = self.se(x) 2025-09-07T07:39:39.0719709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0720233Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0720403Z 2025-09-07T07:39:39.0720541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0721050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0721506Z return mod(*inputs) 2025-09-07T07:39:39.0721963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0722469Z x = self.forward_features(x) 2025-09-07T07:39:39.0722987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0723516Z x = self.blocks(x) 2025-09-07T07:39:39.0723995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0724510Z x = self.se(x) 2025-09-07T07:39:39.0724978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0725494Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0725640Z 2025-09-07T07:39:39.0725773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0726280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0726737Z return mod(*inputs) 2025-09-07T07:39:39.0727192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0727696Z x = self.forward_features(x) 2025-09-07T07:39:39.0728219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0728755Z x = self.blocks(x) 2025-09-07T07:39:39.0729236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0729747Z x = self.se(x) 2025-09-07T07:39:39.0730214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0730745Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0730911Z 2025-09-07T07:39:39.0731048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0731558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0732014Z return mod(*inputs) 2025-09-07T07:39:39.0732471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0732974Z x = self.forward_features(x) 2025-09-07T07:39:39.0733497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0734029Z x = self.blocks(x) 2025-09-07T07:39:39.0734510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0735145Z x = self.se(x) 2025-09-07T07:39:39.0735624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0736144Z return x * self.gate(x_se) 2025-09-07T07:39:39.0736302Z 2025-09-07T07:39:39.0736434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0736947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0737403Z return mod(*inputs) 2025-09-07T07:39:39.0737858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0738357Z x = self.forward_features(x) 2025-09-07T07:39:39.0738954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0739482Z x = self.blocks(x) 2025-09-07T07:39:39.0739964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0740473Z x = self.se(x) 2025-09-07T07:39:39.0740934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0741454Z return x * self.gate(x_se) 2025-09-07T07:39:39.0741610Z 2025-09-07T07:39:39.0741749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0742258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0742710Z return mod(*inputs) 2025-09-07T07:39:39.0743167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0743678Z x = self.forward_features(x) 2025-09-07T07:39:39.0744199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0744725Z x = self.blocks(x) 2025-09-07T07:39:39.0745206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0745725Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0745872Z 2025-09-07T07:39:39.0746010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0746524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0746975Z return mod(*inputs) 2025-09-07T07:39:39.0747433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0747942Z x = self.forward_features(x) 2025-09-07T07:39:39.0748465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0748997Z x = self.blocks(x) 2025-09-07T07:39:39.0749479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.0750011Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.0750185Z 2025-09-07T07:39:39.0750323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0750833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0751285Z return mod(*inputs) 2025-09-07T07:39:39.0751743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0752250Z x = self.forward_features(x) 2025-09-07T07:39:39.0752769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0753303Z x = self.blocks(x) 2025-09-07T07:39:39.0753783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0754304Z x = self.conv_pw(x) 2025-09-07T07:39:39.0754436Z 2025-09-07T07:39:39.0754689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0755235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0755689Z return mod(*inputs) 2025-09-07T07:39:39.0756144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0756648Z x = self.forward_features(x) 2025-09-07T07:39:39.0757168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0757697Z x = self.blocks(x) 2025-09-07T07:39:39.0758175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0758780Z x = self.conv_dw(x) 2025-09-07T07:39:39.0758912Z 2025-09-07T07:39:39.0759049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0759563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0760015Z return mod(*inputs) 2025-09-07T07:39:39.0760470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0760975Z x = self.forward_features(x) 2025-09-07T07:39:39.0761495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0762024Z x = self.blocks(x) 2025-09-07T07:39:39.0762498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0763013Z x = self.bn2(x) 2025-09-07T07:39:39.0763522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0763995Z x = F.batch_norm( 2025-09-07T07:39:39.0764120Z 2025-09-07T07:39:39.0764254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0764767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0765226Z return mod(*inputs) 2025-09-07T07:39:39.0765682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0766186Z x = self.forward_features(x) 2025-09-07T07:39:39.0766707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0767234Z x = self.blocks(x) 2025-09-07T07:39:39.0767714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0768232Z x = self.bn2(x) 2025-09-07T07:39:39.0768648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0769115Z x = self.act(x) 2025-09-07T07:39:39.0769237Z 2025-09-07T07:39:39.0769377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0769894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0770349Z return mod(*inputs) 2025-09-07T07:39:39.0770802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0771309Z x = self.forward_features(x) 2025-09-07T07:39:39.0771832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0772363Z x = self.blocks(x) 2025-09-07T07:39:39.0772840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0773361Z x = self.se(x) 2025-09-07T07:39:39.0773827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0774532Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0774729Z 2025-09-07T07:39:39.0774868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0775380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0775835Z return mod(*inputs) 2025-09-07T07:39:39.0776291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0776797Z x = self.forward_features(x) 2025-09-07T07:39:39.0777314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0777841Z x = self.blocks(x) 2025-09-07T07:39:39.0778464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0778982Z x = self.se(x) 2025-09-07T07:39:39.0779453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0779971Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0780116Z 2025-09-07T07:39:39.0780251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0780760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0781218Z return mod(*inputs) 2025-09-07T07:39:39.0781672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0782179Z x = self.forward_features(x) 2025-09-07T07:39:39.0782700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0783233Z x = self.blocks(x) 2025-09-07T07:39:39.0783711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0784221Z x = self.se(x) 2025-09-07T07:39:39.0784685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0785213Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0785379Z 2025-09-07T07:39:39.0785515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0786021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0786477Z return mod(*inputs) 2025-09-07T07:39:39.0786933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0787436Z x = self.forward_features(x) 2025-09-07T07:39:39.0787961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0788505Z x = self.blocks(x) 2025-09-07T07:39:39.0788995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0789525Z x = self.se(x) 2025-09-07T07:39:39.0790001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0790527Z return x * self.gate(x_se) 2025-09-07T07:39:39.0790688Z 2025-09-07T07:39:39.0790824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0791341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0791803Z return mod(*inputs) 2025-09-07T07:39:39.0792260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0792771Z x = self.forward_features(x) 2025-09-07T07:39:39.0793302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0793835Z x = self.blocks(x) 2025-09-07T07:39:39.0794443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0794967Z x = self.se(x) 2025-09-07T07:39:39.0795438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0795974Z return x * self.gate(x_se) 2025-09-07T07:39:39.0796129Z 2025-09-07T07:39:39.0796267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0796791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0797248Z return mod(*inputs) 2025-09-07T07:39:39.0797708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0798359Z x = self.forward_features(x) 2025-09-07T07:39:39.0798882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0799407Z x = self.blocks(x) 2025-09-07T07:39:39.0799891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0800417Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0800554Z 2025-09-07T07:39:39.0800692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0801203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0801656Z return mod(*inputs) 2025-09-07T07:39:39.0802111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0802620Z x = self.forward_features(x) 2025-09-07T07:39:39.0803146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0803677Z x = self.blocks(x) 2025-09-07T07:39:39.0804159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:39.0804675Z x = self.bn3(x) 2025-09-07T07:39:39.0805101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0805572Z x = F.batch_norm( 2025-09-07T07:39:39.0805700Z 2025-09-07T07:39:39.0805833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0806348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0806808Z return mod(*inputs) 2025-09-07T07:39:39.0807260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0807765Z x = self.forward_features(x) 2025-09-07T07:39:39.0808293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0808824Z x = self.blocks(x) 2025-09-07T07:39:39.0809309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0809828Z x = self.conv_pw(x) 2025-09-07T07:39:39.0809961Z 2025-09-07T07:39:39.0810095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0810608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0811065Z return mod(*inputs) 2025-09-07T07:39:39.0811525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0812026Z x = self.forward_features(x) 2025-09-07T07:39:39.0812544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0813078Z x = self.blocks(x) 2025-09-07T07:39:39.0813560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0814190Z x = self.conv_dw(x) 2025-09-07T07:39:39.0814342Z 2025-09-07T07:39:39.0814480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0814995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0815452Z return mod(*inputs) 2025-09-07T07:39:39.0815909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0816412Z x = self.forward_features(x) 2025-09-07T07:39:39.0816935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0817473Z x = self.blocks(x) 2025-09-07T07:39:39.0818032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0818553Z x = self.bn2(x) 2025-09-07T07:39:39.0818974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0819446Z x = F.batch_norm( 2025-09-07T07:39:39.0819576Z 2025-09-07T07:39:39.0819709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0820223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0820675Z return mod(*inputs) 2025-09-07T07:39:39.0821132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0821640Z x = self.forward_features(x) 2025-09-07T07:39:39.0822165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0822698Z x = self.blocks(x) 2025-09-07T07:39:39.0823174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0823692Z x = self.bn2(x) 2025-09-07T07:39:39.0824118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0824587Z x = self.act(x) 2025-09-07T07:39:39.0824704Z 2025-09-07T07:39:39.0824839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0825354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0825813Z return mod(*inputs) 2025-09-07T07:39:39.0826272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0826776Z x = self.forward_features(x) 2025-09-07T07:39:39.0827306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0827834Z x = self.blocks(x) 2025-09-07T07:39:39.0828313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0828826Z x = self.se(x) 2025-09-07T07:39:39.0839237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0839896Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0840062Z 2025-09-07T07:39:39.0840201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0840724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0841186Z return mod(*inputs) 2025-09-07T07:39:39.0841650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0842161Z x = self.forward_features(x) 2025-09-07T07:39:39.0842684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0843226Z x = self.blocks(x) 2025-09-07T07:39:39.0843870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0844397Z x = self.se(x) 2025-09-07T07:39:39.0844856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0845379Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0845526Z 2025-09-07T07:39:39.0845659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0846178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0846637Z return mod(*inputs) 2025-09-07T07:39:39.0847092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0847672Z x = self.forward_features(x) 2025-09-07T07:39:39.0848196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0848726Z x = self.blocks(x) 2025-09-07T07:39:39.0849207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0849726Z x = self.se(x) 2025-09-07T07:39:39.0850188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0850718Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0850881Z 2025-09-07T07:39:39.0851019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0851527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0851985Z return mod(*inputs) 2025-09-07T07:39:39.0852443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0852954Z x = self.forward_features(x) 2025-09-07T07:39:39.0853471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0854005Z x = self.blocks(x) 2025-09-07T07:39:39.0854487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0855004Z x = self.se(x) 2025-09-07T07:39:39.0855470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0855991Z return x * self.gate(x_se) 2025-09-07T07:39:39.0856148Z 2025-09-07T07:39:39.0856283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0856796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0857251Z return mod(*inputs) 2025-09-07T07:39:39.0857709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0858219Z x = self.forward_features(x) 2025-09-07T07:39:39.0858746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0859277Z x = self.blocks(x) 2025-09-07T07:39:39.0859756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0860266Z x = self.se(x) 2025-09-07T07:39:39.0860727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0861250Z return x * self.gate(x_se) 2025-09-07T07:39:39.0861405Z 2025-09-07T07:39:39.0861542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0862055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0862518Z return mod(*inputs) 2025-09-07T07:39:39.0862973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0863565Z x = self.forward_features(x) 2025-09-07T07:39:39.0864244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0864776Z x = self.blocks(x) 2025-09-07T07:39:39.0865254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0865777Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0865913Z 2025-09-07T07:39:39.0866049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0866557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0867013Z return mod(*inputs) 2025-09-07T07:39:39.0867468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0868111Z x = self.forward_features(x) 2025-09-07T07:39:39.0868637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0869165Z x = self.blocks(x) 2025-09-07T07:39:39.0869642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.0870175Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.0870347Z 2025-09-07T07:39:39.0870486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0870996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0871450Z return mod(*inputs) 2025-09-07T07:39:39.0871901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0872407Z x = self.forward_features(x) 2025-09-07T07:39:39.0872931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0873459Z x = self.blocks(x) 2025-09-07T07:39:39.0873935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0874455Z x = self.conv_pw(x) 2025-09-07T07:39:39.0874588Z 2025-09-07T07:39:39.0874724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0875235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0875685Z return mod(*inputs) 2025-09-07T07:39:39.0876143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0876647Z x = self.forward_features(x) 2025-09-07T07:39:39.0877167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0877701Z x = self.blocks(x) 2025-09-07T07:39:39.0878175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0878699Z x = self.conv_dw(x) 2025-09-07T07:39:39.0878834Z 2025-09-07T07:39:39.0878966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0879477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0879932Z return mod(*inputs) 2025-09-07T07:39:39.0880387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0880893Z x = self.forward_features(x) 2025-09-07T07:39:39.0881410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0881938Z x = self.blocks(x) 2025-09-07T07:39:39.0882420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0882935Z x = self.bn2(x) 2025-09-07T07:39:39.0883465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0883956Z x = F.batch_norm( 2025-09-07T07:39:39.0884081Z 2025-09-07T07:39:39.0884211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0884720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0885175Z return mod(*inputs) 2025-09-07T07:39:39.0885627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0886134Z x = self.forward_features(x) 2025-09-07T07:39:39.0886651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0887252Z x = self.blocks(x) 2025-09-07T07:39:39.0887727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0888243Z x = self.bn2(x) 2025-09-07T07:39:39.0888662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0889131Z x = self.act(x) 2025-09-07T07:39:39.0889251Z 2025-09-07T07:39:39.0889383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0889898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0890354Z return mod(*inputs) 2025-09-07T07:39:39.0890805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0891307Z x = self.forward_features(x) 2025-09-07T07:39:39.0891825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0892357Z x = self.blocks(x) 2025-09-07T07:39:39.0892831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0893346Z x = self.se(x) 2025-09-07T07:39:39.0893808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0894334Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0894497Z 2025-09-07T07:39:39.0894633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0895143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0895601Z return mod(*inputs) 2025-09-07T07:39:39.0896057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0896564Z x = self.forward_features(x) 2025-09-07T07:39:39.0897085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0897613Z x = self.blocks(x) 2025-09-07T07:39:39.0898103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0898616Z x = self.se(x) 2025-09-07T07:39:39.0899074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0899591Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0899737Z 2025-09-07T07:39:39.0899872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0900381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0900840Z return mod(*inputs) 2025-09-07T07:39:39.0901292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0901800Z x = self.forward_features(x) 2025-09-07T07:39:39.0902323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0902854Z x = self.blocks(x) 2025-09-07T07:39:39.0903454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0903977Z x = self.se(x) 2025-09-07T07:39:39.0904437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0904959Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0905121Z 2025-09-07T07:39:39.0905255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0905767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0906221Z return mod(*inputs) 2025-09-07T07:39:39.0906673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0907260Z x = self.forward_features(x) 2025-09-07T07:39:39.0907780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0908306Z x = self.blocks(x) 2025-09-07T07:39:39.0908784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0909296Z x = self.se(x) 2025-09-07T07:39:39.0909759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0910279Z return x * self.gate(x_se) 2025-09-07T07:39:39.0910436Z 2025-09-07T07:39:39.0910568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0911080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0911535Z return mod(*inputs) 2025-09-07T07:39:39.0911994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0912494Z x = self.forward_features(x) 2025-09-07T07:39:39.0913020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0913546Z x = self.blocks(x) 2025-09-07T07:39:39.0914022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0914532Z x = self.se(x) 2025-09-07T07:39:39.0914995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0915517Z return x * self.gate(x_se) 2025-09-07T07:39:39.0915669Z 2025-09-07T07:39:39.0915807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0916316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0916773Z return mod(*inputs) 2025-09-07T07:39:39.0917229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0917736Z x = self.forward_features(x) 2025-09-07T07:39:39.0918260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0918785Z x = self.blocks(x) 2025-09-07T07:39:39.0919261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0919786Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0919923Z 2025-09-07T07:39:39.0920059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0920574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0921030Z return mod(*inputs) 2025-09-07T07:39:39.0921492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0921993Z x = self.forward_features(x) 2025-09-07T07:39:39.0922617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0923156Z x = self.blocks(x) 2025-09-07T07:39:39.0923630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.0924160Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.0924332Z 2025-09-07T07:39:39.0924467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0924975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0925427Z return mod(*inputs) 2025-09-07T07:39:39.0925881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0926459Z x = self.forward_features(x) 2025-09-07T07:39:39.0926974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0927496Z x = self.blocks(x) 2025-09-07T07:39:39.0927986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0928504Z x = self.conv_pw(x) 2025-09-07T07:39:39.0928633Z 2025-09-07T07:39:39.0928771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0929279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0929732Z return mod(*inputs) 2025-09-07T07:39:39.0930184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0930686Z x = self.forward_features(x) 2025-09-07T07:39:39.0931202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0931730Z x = self.blocks(x) 2025-09-07T07:39:39.0932209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0932729Z x = self.conv_dw(x) 2025-09-07T07:39:39.0932859Z 2025-09-07T07:39:39.0932996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0933502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0933954Z return mod(*inputs) 2025-09-07T07:39:39.0934407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0934913Z x = self.forward_features(x) 2025-09-07T07:39:39.0935435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0935959Z x = self.blocks(x) 2025-09-07T07:39:39.0936442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0936955Z x = self.bn2(x) 2025-09-07T07:39:39.0937379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0937851Z x = F.batch_norm( 2025-09-07T07:39:39.0937977Z 2025-09-07T07:39:39.0938109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0938622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0939078Z return mod(*inputs) 2025-09-07T07:39:39.0939530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0940031Z x = self.forward_features(x) 2025-09-07T07:39:39.0940552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0941084Z x = self.blocks(x) 2025-09-07T07:39:39.0941561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0942075Z x = self.bn2(x) 2025-09-07T07:39:39.0942672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0943150Z x = self.act(x) 2025-09-07T07:39:39.0943267Z 2025-09-07T07:39:39.0943402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0943914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0944366Z return mod(*inputs) 2025-09-07T07:39:39.0944819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0945321Z x = self.forward_features(x) 2025-09-07T07:39:39.0945842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0946450Z x = self.blocks(x) 2025-09-07T07:39:39.0946923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0947440Z x = self.se(x) 2025-09-07T07:39:39.0947901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.0948431Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.0948592Z 2025-09-07T07:39:39.0948724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0949232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0949686Z return mod(*inputs) 2025-09-07T07:39:39.0950140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0950647Z x = self.forward_features(x) 2025-09-07T07:39:39.0951166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0951694Z x = self.blocks(x) 2025-09-07T07:39:39.0952173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0952685Z x = self.se(x) 2025-09-07T07:39:39.0953142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.0953660Z x_se = self.act1(x_se) 2025-09-07T07:39:39.0953805Z 2025-09-07T07:39:39.0953938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0954451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0954908Z return mod(*inputs) 2025-09-07T07:39:39.0955361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0955867Z x = self.forward_features(x) 2025-09-07T07:39:39.0956383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0956907Z x = self.blocks(x) 2025-09-07T07:39:39.0957383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0957899Z x = self.se(x) 2025-09-07T07:39:39.0958360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.0958887Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.0959051Z 2025-09-07T07:39:39.0959187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0959697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0960153Z return mod(*inputs) 2025-09-07T07:39:39.0960604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0961115Z x = self.forward_features(x) 2025-09-07T07:39:39.0961743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0962281Z x = self.blocks(x) 2025-09-07T07:39:39.0962762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0963340Z x = self.se(x) 2025-09-07T07:39:39.0963802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0964321Z return x * self.gate(x_se) 2025-09-07T07:39:39.0964477Z 2025-09-07T07:39:39.0964609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0965117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0965721Z return mod(*inputs) 2025-09-07T07:39:39.0966171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0966672Z x = self.forward_features(x) 2025-09-07T07:39:39.0967192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0967717Z x = self.blocks(x) 2025-09-07T07:39:39.0968193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.0968702Z x = self.se(x) 2025-09-07T07:39:39.0969163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.0969683Z return x * self.gate(x_se) 2025-09-07T07:39:39.0969836Z 2025-09-07T07:39:39.0969970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0970479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0970940Z return mod(*inputs) 2025-09-07T07:39:39.0971392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0971899Z x = self.forward_features(x) 2025-09-07T07:39:39.0972418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0972942Z x = self.blocks(x) 2025-09-07T07:39:39.0973418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.0973938Z x = self.conv_pwl(x) 2025-09-07T07:39:39.0974073Z 2025-09-07T07:39:39.0974209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0974718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0975172Z return mod(*inputs) 2025-09-07T07:39:39.0975628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0976132Z x = self.forward_features(x) 2025-09-07T07:39:39.0976656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0977181Z x = self.blocks(x) 2025-09-07T07:39:39.0977663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.0978196Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.0978366Z 2025-09-07T07:39:39.0978502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0979012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0979465Z return mod(*inputs) 2025-09-07T07:39:39.0979918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0980425Z x = self.forward_features(x) 2025-09-07T07:39:39.0980949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0981477Z x = self.blocks(x) 2025-09-07T07:39:39.0982124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.0982670Z x = self.conv_pw(x) 2025-09-07T07:39:39.0982802Z 2025-09-07T07:39:39.0982939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0983451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0983904Z return mod(*inputs) 2025-09-07T07:39:39.0984362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0984864Z x = self.forward_features(x) 2025-09-07T07:39:39.0985383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0985994Z x = self.blocks(x) 2025-09-07T07:39:39.0986475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.0986993Z x = self.conv_dw(x) 2025-09-07T07:39:39.0987123Z 2025-09-07T07:39:39.0987259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0987767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0988220Z return mod(*inputs) 2025-09-07T07:39:39.0988671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0989171Z x = self.forward_features(x) 2025-09-07T07:39:39.0989689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0990216Z x = self.blocks(x) 2025-09-07T07:39:39.0990692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0991207Z x = self.bn2(x) 2025-09-07T07:39:39.0991630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.0992098Z x = F.batch_norm( 2025-09-07T07:39:39.0992222Z 2025-09-07T07:39:39.0992356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0992867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0993322Z return mod(*inputs) 2025-09-07T07:39:39.0993775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0994276Z x = self.forward_features(x) 2025-09-07T07:39:39.0994800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.0995333Z x = self.blocks(x) 2025-09-07T07:39:39.0995812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:39.0996331Z x = self.bn2(x) 2025-09-07T07:39:39.0996749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:39.0997216Z x = self.act(x) 2025-09-07T07:39:39.0997333Z 2025-09-07T07:39:39.0997467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.0997977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.0998428Z return mod(*inputs) 2025-09-07T07:39:39.0998882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.0999385Z x = self.forward_features(x) 2025-09-07T07:39:39.0999906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1000437Z x = self.blocks(x) 2025-09-07T07:39:39.1001023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1001544Z x = self.se(x) 2025-09-07T07:39:39.1002005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1002527Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1002688Z 2025-09-07T07:39:39.1002820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1003328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1003783Z return mod(*inputs) 2025-09-07T07:39:39.1004237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1004821Z x = self.forward_features(x) 2025-09-07T07:39:39.1005340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1005866Z x = self.blocks(x) 2025-09-07T07:39:39.1006345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1006856Z x = self.se(x) 2025-09-07T07:39:39.1007312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1007829Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1007974Z 2025-09-07T07:39:39.1008107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1008616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1009069Z return mod(*inputs) 2025-09-07T07:39:39.1009520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1010028Z x = self.forward_features(x) 2025-09-07T07:39:39.1010548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1011077Z x = self.blocks(x) 2025-09-07T07:39:39.1011553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1012066Z x = self.se(x) 2025-09-07T07:39:39.1012529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1013053Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1013215Z 2025-09-07T07:39:39.1013351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1013856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1014310Z return mod(*inputs) 2025-09-07T07:39:39.1014765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1015274Z x = self.forward_features(x) 2025-09-07T07:39:39.1015796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1016326Z x = self.blocks(x) 2025-09-07T07:39:39.1016804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1017317Z x = self.se(x) 2025-09-07T07:39:39.1017779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1018298Z return x * self.gate(x_se) 2025-09-07T07:39:39.1018456Z 2025-09-07T07:39:39.1018589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1019100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1019562Z return mod(*inputs) 2025-09-07T07:39:39.1020014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1020522Z x = self.forward_features(x) 2025-09-07T07:39:39.1021186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1021744Z x = self.blocks(x) 2025-09-07T07:39:39.1022224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1022736Z x = self.se(x) 2025-09-07T07:39:39.1023201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1023724Z return x * self.gate(x_se) 2025-09-07T07:39:39.1023877Z 2025-09-07T07:39:39.1024012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1024520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1025062Z return mod(*inputs) 2025-09-07T07:39:39.1025519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1026030Z x = self.forward_features(x) 2025-09-07T07:39:39.1026548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1027072Z x = self.blocks(x) 2025-09-07T07:39:39.1027549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1028070Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1028207Z 2025-09-07T07:39:39.1028344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1028853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1029307Z return mod(*inputs) 2025-09-07T07:39:39.1029766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1030270Z x = self.forward_features(x) 2025-09-07T07:39:39.1030793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1031317Z x = self.blocks(x) 2025-09-07T07:39:39.1031796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:39.1032309Z x = self.bn3(x) 2025-09-07T07:39:39.1032727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.1033189Z x = F.batch_norm( 2025-09-07T07:39:39.1033318Z 2025-09-07T07:39:39.1033451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1033962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1034422Z return mod(*inputs) 2025-09-07T07:39:39.1034876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1035377Z x = self.forward_features(x) 2025-09-07T07:39:39.1035900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1036426Z x = self.blocks(x) 2025-09-07T07:39:39.1036904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1037420Z x = self.conv_pw(x) 2025-09-07T07:39:39.1037554Z 2025-09-07T07:39:39.1037687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1038198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1038653Z return mod(*inputs) 2025-09-07T07:39:39.1039105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1039612Z x = self.forward_features(x) 2025-09-07T07:39:39.1040265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1040810Z x = self.blocks(x) 2025-09-07T07:39:39.1041290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1041804Z x = self.conv_dw(x) 2025-09-07T07:39:39.1041938Z 2025-09-07T07:39:39.1042036Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1042352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1042861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1043318Z return mod(*inputs) 2025-09-07T07:39:39.1043767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1044355Z x = self.forward_features(x) 2025-09-07T07:39:39.1044873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1045404Z x = self.blocks(x) 2025-09-07T07:39:39.1045878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1046388Z x = self.se(x) 2025-09-07T07:39:39.1046847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1047374Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1047549Z 2025-09-07T07:39:39.1047684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1048190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1048645Z return mod(*inputs) 2025-09-07T07:39:39.1049101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1049601Z x = self.forward_features(x) 2025-09-07T07:39:39.1050120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1050651Z x = self.blocks(x) 2025-09-07T07:39:39.1051128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1051640Z x = self.se(x) 2025-09-07T07:39:39.1052098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1052618Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1052785Z 2025-09-07T07:39:39.1052917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1053429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1053892Z return mod(*inputs) 2025-09-07T07:39:39.1054345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1054845Z x = self.forward_features(x) 2025-09-07T07:39:39.1055366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1055897Z x = self.blocks(x) 2025-09-07T07:39:39.1056373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1056884Z x = self.se(x) 2025-09-07T07:39:39.1057346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1057865Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1058007Z 2025-09-07T07:39:39.1058143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1058655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1059114Z return mod(*inputs) 2025-09-07T07:39:39.1059569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1060193Z x = self.forward_features(x) 2025-09-07T07:39:39.1060731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1061254Z x = self.blocks(x) 2025-09-07T07:39:39.1061734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1062246Z x = self.se(x) 2025-09-07T07:39:39.1062705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1063229Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1063458Z 2025-09-07T07:39:39.1063591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1064247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1064701Z return mod(*inputs) 2025-09-07T07:39:39.1065161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1065664Z x = self.forward_features(x) 2025-09-07T07:39:39.1066184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1066713Z x = self.blocks(x) 2025-09-07T07:39:39.1067191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1067703Z x = self.se(x) 2025-09-07T07:39:39.1068163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1068687Z return x * self.gate(x_se) 2025-09-07T07:39:39.1068847Z 2025-09-07T07:39:39.1068981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1069492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1069949Z return mod(*inputs) 2025-09-07T07:39:39.1070401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1070907Z x = self.forward_features(x) 2025-09-07T07:39:39.1071426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1071954Z x = self.blocks(x) 2025-09-07T07:39:39.1072429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1072943Z x = self.se(x) 2025-09-07T07:39:39.1073406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1073931Z return x * self.gate(x_se) 2025-09-07T07:39:39.1074086Z 2025-09-07T07:39:39.1074219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1074735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1075191Z return mod(*inputs) 2025-09-07T07:39:39.1075644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1076148Z x = self.forward_features(x) 2025-09-07T07:39:39.1076662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1077191Z x = self.blocks(x) 2025-09-07T07:39:39.1077668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1078192Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1078330Z 2025-09-07T07:39:39.1078467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1078979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1079433Z return mod(*inputs) 2025-09-07T07:39:39.1080047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1080576Z x = self.forward_features(x) 2025-09-07T07:39:39.1081093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1081620Z x = self.blocks(x) 2025-09-07T07:39:39.1082097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1082628Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1082798Z 2025-09-07T07:39:39.1082931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1083442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1084003Z return mod(*inputs) 2025-09-07T07:39:39.1084459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1084967Z x = self.forward_features(x) 2025-09-07T07:39:39.1085483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1086011Z x = self.blocks(x) 2025-09-07T07:39:39.1086489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1087007Z x = self.conv_pw(x) 2025-09-07T07:39:39.1087137Z 2025-09-07T07:39:39.1087270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1087780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1088231Z return mod(*inputs) 2025-09-07T07:39:39.1088687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1089187Z x = self.forward_features(x) 2025-09-07T07:39:39.1089709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1090235Z x = self.blocks(x) 2025-09-07T07:39:39.1090713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1091229Z x = self.conv_dw(x) 2025-09-07T07:39:39.1091361Z 2025-09-07T07:39:39.1091460Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1091776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1092283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1092736Z return mod(*inputs) 2025-09-07T07:39:39.1093192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1093695Z x = self.forward_features(x) 2025-09-07T07:39:39.1094219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1094747Z x = self.blocks(x) 2025-09-07T07:39:39.1095225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1095735Z x = self.se(x) 2025-09-07T07:39:39.1096197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1096724Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1096901Z 2025-09-07T07:39:39.1097040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1097548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1098003Z return mod(*inputs) 2025-09-07T07:39:39.1098457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1098961Z x = self.forward_features(x) 2025-09-07T07:39:39.1099592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1100127Z x = self.blocks(x) 2025-09-07T07:39:39.1100607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1101122Z x = self.se(x) 2025-09-07T07:39:39.1101583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1102106Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1102269Z 2025-09-07T07:39:39.1102400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1102909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1103449Z return mod(*inputs) 2025-09-07T07:39:39.1103902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1104409Z x = self.forward_features(x) 2025-09-07T07:39:39.1104929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1105459Z x = self.blocks(x) 2025-09-07T07:39:39.1105940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1106452Z x = self.se(x) 2025-09-07T07:39:39.1106909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1107427Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1107572Z 2025-09-07T07:39:39.1107706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1108224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1108683Z return mod(*inputs) 2025-09-07T07:39:39.1109136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1109640Z x = self.forward_features(x) 2025-09-07T07:39:39.1110161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1110689Z x = self.blocks(x) 2025-09-07T07:39:39.1111167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1111680Z x = self.se(x) 2025-09-07T07:39:39.1112141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1112665Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1112834Z 2025-09-07T07:39:39.1112971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1113478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1113937Z return mod(*inputs) 2025-09-07T07:39:39.1114395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1114901Z x = self.forward_features(x) 2025-09-07T07:39:39.1115418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1115947Z x = self.blocks(x) 2025-09-07T07:39:39.1116426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1116940Z x = self.se(x) 2025-09-07T07:39:39.1117398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1117923Z return x * self.gate(x_se) 2025-09-07T07:39:39.1118081Z 2025-09-07T07:39:39.1118214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1118849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1119325Z return mod(*inputs) 2025-09-07T07:39:39.1119777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1120282Z x = self.forward_features(x) 2025-09-07T07:39:39.1120800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1121326Z x = self.blocks(x) 2025-09-07T07:39:39.1121803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1122313Z x = self.se(x) 2025-09-07T07:39:39.1122776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1123370Z return x * self.gate(x_se) 2025-09-07T07:39:39.1123521Z 2025-09-07T07:39:39.1123660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1124174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1124630Z return mod(*inputs) 2025-09-07T07:39:39.1125084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1125588Z x = self.forward_features(x) 2025-09-07T07:39:39.1126105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1126629Z x = self.blocks(x) 2025-09-07T07:39:39.1127107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1127631Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1127772Z 2025-09-07T07:39:39.1127910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1128419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1128880Z return mod(*inputs) 2025-09-07T07:39:39.1129333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1129835Z x = self.forward_features(x) 2025-09-07T07:39:39.1130354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1130877Z x = self.blocks(x) 2025-09-07T07:39:39.1131358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1131887Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1132058Z 2025-09-07T07:39:39.1132198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1132715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1133172Z return mod(*inputs) 2025-09-07T07:39:39.1133630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1134137Z x = self.forward_features(x) 2025-09-07T07:39:39.1134658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1135182Z x = self.blocks(x) 2025-09-07T07:39:39.1135658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1136178Z x = self.conv_pw(x) 2025-09-07T07:39:39.1136309Z 2025-09-07T07:39:39.1136447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1136955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1137415Z return mod(*inputs) 2025-09-07T07:39:39.1137868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1138372Z x = self.forward_features(x) 2025-09-07T07:39:39.1138997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1139535Z x = self.blocks(x) 2025-09-07T07:39:39.1140015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1140536Z x = self.conv_dw(x) 2025-09-07T07:39:39.1140666Z 2025-09-07T07:39:39.1140767Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1141081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1141592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1142046Z return mod(*inputs) 2025-09-07T07:39:39.1142597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1143103Z x = self.forward_features(x) 2025-09-07T07:39:39.1143623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1144154Z x = self.blocks(x) 2025-09-07T07:39:39.1144633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1145147Z x = self.se(x) 2025-09-07T07:39:39.1145606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1146140Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1146319Z 2025-09-07T07:39:39.1146455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1146968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1147429Z return mod(*inputs) 2025-09-07T07:39:39.1147880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1148389Z x = self.forward_features(x) 2025-09-07T07:39:39.1148913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1149441Z x = self.blocks(x) 2025-09-07T07:39:39.1149916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1150430Z x = self.se(x) 2025-09-07T07:39:39.1150893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1151416Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1151582Z 2025-09-07T07:39:39.1151717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1152232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1152691Z return mod(*inputs) 2025-09-07T07:39:39.1153149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1153656Z x = self.forward_features(x) 2025-09-07T07:39:39.1154172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1154697Z x = self.blocks(x) 2025-09-07T07:39:39.1155176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1155692Z x = self.se(x) 2025-09-07T07:39:39.1156153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1156669Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1156815Z 2025-09-07T07:39:39.1156953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1157467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1157925Z return mod(*inputs) 2025-09-07T07:39:39.1158486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1159007Z x = self.forward_features(x) 2025-09-07T07:39:39.1159529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1160057Z x = self.blocks(x) 2025-09-07T07:39:39.1160534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1161040Z x = self.se(x) 2025-09-07T07:39:39.1161501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1162118Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1162281Z 2025-09-07T07:39:39.1162417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1162927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1163487Z return mod(*inputs) 2025-09-07T07:39:39.1163944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1164446Z x = self.forward_features(x) 2025-09-07T07:39:39.1164966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1165487Z x = self.blocks(x) 2025-09-07T07:39:39.1165965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1166477Z x = self.se(x) 2025-09-07T07:39:39.1166939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1167469Z return x * self.gate(x_se) 2025-09-07T07:39:39.1167622Z 2025-09-07T07:39:39.1167755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1168269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1168727Z return mod(*inputs) 2025-09-07T07:39:39.1169181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1169679Z x = self.forward_features(x) 2025-09-07T07:39:39.1170196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1170724Z x = self.blocks(x) 2025-09-07T07:39:39.1171203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1171720Z x = self.se(x) 2025-09-07T07:39:39.1172180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1172705Z return x * self.gate(x_se) 2025-09-07T07:39:39.1172859Z 2025-09-07T07:39:39.1172996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1173509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1173961Z return mod(*inputs) 2025-09-07T07:39:39.1174415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1174919Z x = self.forward_features(x) 2025-09-07T07:39:39.1175440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1175966Z x = self.blocks(x) 2025-09-07T07:39:39.1176444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1176974Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1177113Z 2025-09-07T07:39:39.1177247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1177938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1178406Z return mod(*inputs) 2025-09-07T07:39:39.1178860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1179367Z x = self.forward_features(x) 2025-09-07T07:39:39.1179886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1180411Z x = self.blocks(x) 2025-09-07T07:39:39.1180882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1181409Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1181584Z 2025-09-07T07:39:39.1181844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1182360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1182812Z return mod(*inputs) 2025-09-07T07:39:39.1183270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1183773Z x = self.forward_features(x) 2025-09-07T07:39:39.1184290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1184815Z x = self.blocks(x) 2025-09-07T07:39:39.1185292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1185810Z x = self.conv_pw(x) 2025-09-07T07:39:39.1185943Z 2025-09-07T07:39:39.1186075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1186583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1187038Z return mod(*inputs) 2025-09-07T07:39:39.1187491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1187996Z x = self.forward_features(x) 2025-09-07T07:39:39.1188519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1189049Z x = self.blocks(x) 2025-09-07T07:39:39.1189522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1190039Z x = self.conv_dw(x) 2025-09-07T07:39:39.1190172Z 2025-09-07T07:39:39.1190270Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1190588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1191101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1198295Z return mod(*inputs) 2025-09-07T07:39:39.1198767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1199273Z x = self.forward_features(x) 2025-09-07T07:39:39.1199806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1200341Z x = self.blocks(x) 2025-09-07T07:39:39.1200821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1201332Z x = self.se(x) 2025-09-07T07:39:39.1201791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1202314Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1202492Z 2025-09-07T07:39:39.1202625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1203141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1203593Z return mod(*inputs) 2025-09-07T07:39:39.1204208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1204719Z x = self.forward_features(x) 2025-09-07T07:39:39.1205236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1205760Z x = self.blocks(x) 2025-09-07T07:39:39.1206236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1206744Z x = self.se(x) 2025-09-07T07:39:39.1207201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1207720Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1207883Z 2025-09-07T07:39:39.1208096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1208605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1209055Z return mod(*inputs) 2025-09-07T07:39:39.1209513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1210018Z x = self.forward_features(x) 2025-09-07T07:39:39.1210535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1211058Z x = self.blocks(x) 2025-09-07T07:39:39.1211537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1212046Z x = self.se(x) 2025-09-07T07:39:39.1212508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1213029Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1213172Z 2025-09-07T07:39:39.1213305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1213815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1214275Z return mod(*inputs) 2025-09-07T07:39:39.1214730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1215235Z x = self.forward_features(x) 2025-09-07T07:39:39.1215756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1216282Z x = self.blocks(x) 2025-09-07T07:39:39.1216758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1217271Z x = self.se(x) 2025-09-07T07:39:39.1217727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1218258Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1218427Z 2025-09-07T07:39:39.1218559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1219072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1219526Z return mod(*inputs) 2025-09-07T07:39:39.1219979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1220483Z x = self.forward_features(x) 2025-09-07T07:39:39.1221000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1221527Z x = self.blocks(x) 2025-09-07T07:39:39.1222002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1222514Z x = self.se(x) 2025-09-07T07:39:39.1222980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1223500Z return x * self.gate(x_se) 2025-09-07T07:39:39.1223652Z 2025-09-07T07:39:39.1223895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1224419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1224875Z return mod(*inputs) 2025-09-07T07:39:39.1225200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1225286Z x = self.forward_features(x) 2025-09-07T07:39:39.1225648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1225726Z x = self.blocks(x) 2025-09-07T07:39:39.1226076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1226224Z x = self.se(x) 2025-09-07T07:39:39.1226573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1226655Z return x * self.gate(x_se) 2025-09-07T07:39:39.1226663Z 2025-09-07T07:39:39.1226800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1227081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1227159Z return mod(*inputs) 2025-09-07T07:39:39.1227480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1227564Z x = self.forward_features(x) 2025-09-07T07:39:39.1227928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1228000Z x = self.blocks(x) 2025-09-07T07:39:39.1228351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1228431Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1228436Z 2025-09-07T07:39:39.1228569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1228858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1228936Z return mod(*inputs) 2025-09-07T07:39:39.1229263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1229348Z x = self.forward_features(x) 2025-09-07T07:39:39.1229712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1229785Z x = self.blocks(x) 2025-09-07T07:39:39.1230139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:39.1230209Z x = self.bn3(x) 2025-09-07T07:39:39.1230516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.1230590Z x = F.batch_norm( 2025-09-07T07:39:39.1230594Z 2025-09-07T07:39:39.1230730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1231017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1231091Z return mod(*inputs) 2025-09-07T07:39:39.1231415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1231500Z x = self.forward_features(x) 2025-09-07T07:39:39.1231860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1231936Z x = self.blocks(x) 2025-09-07T07:39:39.1232285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1232363Z x = self.conv_pw(x) 2025-09-07T07:39:39.1232370Z 2025-09-07T07:39:39.1232504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1232888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1232980Z return mod(*inputs) 2025-09-07T07:39:39.1233304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1233392Z x = self.forward_features(x) 2025-09-07T07:39:39.1233752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1233825Z x = self.blocks(x) 2025-09-07T07:39:39.1234179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1234254Z x = self.conv_dw(x) 2025-09-07T07:39:39.1234259Z 2025-09-07T07:39:39.1234468Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1234601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1234882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1234966Z return mod(*inputs) 2025-09-07T07:39:39.1235304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1235390Z x = self.forward_features(x) 2025-09-07T07:39:39.1235750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1235822Z x = self.blocks(x) 2025-09-07T07:39:39.1236174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1236241Z x = self.se(x) 2025-09-07T07:39:39.1236593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1236685Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1236690Z 2025-09-07T07:39:39.1236824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1237110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1237186Z return mod(*inputs) 2025-09-07T07:39:39.1237512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1237596Z x = self.forward_features(x) 2025-09-07T07:39:39.1237958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1238032Z x = self.blocks(x) 2025-09-07T07:39:39.1238383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1238454Z x = self.se(x) 2025-09-07T07:39:39.1238804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1238891Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1238895Z 2025-09-07T07:39:39.1239030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1239313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1239389Z return mod(*inputs) 2025-09-07T07:39:39.1239712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1239799Z x = self.forward_features(x) 2025-09-07T07:39:39.1240158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1240229Z x = self.blocks(x) 2025-09-07T07:39:39.1240583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1240656Z x = self.se(x) 2025-09-07T07:39:39.1241005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1241083Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1241088Z 2025-09-07T07:39:39.1241314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1241604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1241679Z return mod(*inputs) 2025-09-07T07:39:39.1242004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1242087Z x = self.forward_features(x) 2025-09-07T07:39:39.1242448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1242520Z x = self.blocks(x) 2025-09-07T07:39:39.1242870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1243012Z x = self.se(x) 2025-09-07T07:39:39.1243357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1243447Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1243452Z 2025-09-07T07:39:39.1243584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1243867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1243944Z return mod(*inputs) 2025-09-07T07:39:39.1244267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1244355Z x = self.forward_features(x) 2025-09-07T07:39:39.1244717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1244789Z x = self.blocks(x) 2025-09-07T07:39:39.1245146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1245214Z x = self.se(x) 2025-09-07T07:39:39.1245566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1245649Z return x * self.gate(x_se) 2025-09-07T07:39:39.1245654Z 2025-09-07T07:39:39.1245897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1246181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1246256Z return mod(*inputs) 2025-09-07T07:39:39.1246583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1246669Z x = self.forward_features(x) 2025-09-07T07:39:39.1247034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1247111Z x = self.blocks(x) 2025-09-07T07:39:39.1247459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1247530Z x = self.se(x) 2025-09-07T07:39:39.1247876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1247961Z return x * self.gate(x_se) 2025-09-07T07:39:39.1247965Z 2025-09-07T07:39:39.1248098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1248382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1248456Z return mod(*inputs) 2025-09-07T07:39:39.1248778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1248866Z x = self.forward_features(x) 2025-09-07T07:39:39.1249222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1249301Z x = self.blocks(x) 2025-09-07T07:39:39.1249743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1249828Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1249832Z 2025-09-07T07:39:39.1249972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1250256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1250334Z return mod(*inputs) 2025-09-07T07:39:39.1250658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1250744Z x = self.forward_features(x) 2025-09-07T07:39:39.1251108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1251242Z x = self.blocks(x) 2025-09-07T07:39:39.1251593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1251680Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1251684Z 2025-09-07T07:39:39.1251820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1252106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1252181Z return mod(*inputs) 2025-09-07T07:39:39.1252506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1252590Z x = self.forward_features(x) 2025-09-07T07:39:39.1252953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1253024Z x = self.blocks(x) 2025-09-07T07:39:39.1253372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1253455Z x = self.conv_pw(x) 2025-09-07T07:39:39.1253459Z 2025-09-07T07:39:39.1253590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1253880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1253955Z return mod(*inputs) 2025-09-07T07:39:39.1254278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1254366Z x = self.forward_features(x) 2025-09-07T07:39:39.1254724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1254799Z x = self.blocks(x) 2025-09-07T07:39:39.1255145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1255217Z x = self.conv_dw(x) 2025-09-07T07:39:39.1255225Z 2025-09-07T07:39:39.1255325Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1255457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1255744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1255818Z return mod(*inputs) 2025-09-07T07:39:39.1256140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1256228Z x = self.forward_features(x) 2025-09-07T07:39:39.1256586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1256662Z x = self.blocks(x) 2025-09-07T07:39:39.1257010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1257081Z x = self.se(x) 2025-09-07T07:39:39.1257426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1257516Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1257520Z 2025-09-07T07:39:39.1257656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1257986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1258068Z return mod(*inputs) 2025-09-07T07:39:39.1258392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1258476Z x = self.forward_features(x) 2025-09-07T07:39:39.1258838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1258912Z x = self.blocks(x) 2025-09-07T07:39:39.1259265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1259376Z x = self.se(x) 2025-09-07T07:39:39.1259723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1259808Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1259812Z 2025-09-07T07:39:39.1259948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1260234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1260307Z return mod(*inputs) 2025-09-07T07:39:39.1260631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1260716Z x = self.forward_features(x) 2025-09-07T07:39:39.1261073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1261148Z x = self.blocks(x) 2025-09-07T07:39:39.1261497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1261573Z x = self.se(x) 2025-09-07T07:39:39.1261918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1261999Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1262004Z 2025-09-07T07:39:39.1262142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1262423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1262501Z return mod(*inputs) 2025-09-07T07:39:39.1262823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1262907Z x = self.forward_features(x) 2025-09-07T07:39:39.1263350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1263427Z x = self.blocks(x) 2025-09-07T07:39:39.1263782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1263850Z x = self.se(x) 2025-09-07T07:39:39.1264198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1264285Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1264290Z 2025-09-07T07:39:39.1264421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1264706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1264781Z return mod(*inputs) 2025-09-07T07:39:39.1265106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1265189Z x = self.forward_features(x) 2025-09-07T07:39:39.1265548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1265629Z x = self.blocks(x) 2025-09-07T07:39:39.1265979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1266049Z x = self.se(x) 2025-09-07T07:39:39.1266544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1266669Z return x * self.gate(x_se) 2025-09-07T07:39:39.1266673Z 2025-09-07T07:39:39.1266812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1267094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1267171Z return mod(*inputs) 2025-09-07T07:39:39.1267495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1267578Z x = self.forward_features(x) 2025-09-07T07:39:39.1267942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1268097Z x = self.blocks(x) 2025-09-07T07:39:39.1268454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1268522Z x = self.se(x) 2025-09-07T07:39:39.1268868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1268952Z return x * self.gate(x_se) 2025-09-07T07:39:39.1268956Z 2025-09-07T07:39:39.1269089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1269376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1269449Z return mod(*inputs) 2025-09-07T07:39:39.1269774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1269858Z x = self.forward_features(x) 2025-09-07T07:39:39.1270221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1270296Z x = self.blocks(x) 2025-09-07T07:39:39.1270647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1270726Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1270731Z 2025-09-07T07:39:39.1270863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1271145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1271223Z return mod(*inputs) 2025-09-07T07:39:39.1271548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1271636Z x = self.forward_features(x) 2025-09-07T07:39:39.1271995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1272072Z x = self.blocks(x) 2025-09-07T07:39:39.1272424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1272512Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1272517Z 2025-09-07T07:39:39.1272655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1272937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1273016Z return mod(*inputs) 2025-09-07T07:39:39.1273336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1273420Z x = self.forward_features(x) 2025-09-07T07:39:39.1273783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1273854Z x = self.blocks(x) 2025-09-07T07:39:39.1274208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1274282Z x = self.conv_pw(x) 2025-09-07T07:39:39.1274286Z 2025-09-07T07:39:39.1274480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1274770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1274855Z return mod(*inputs) 2025-09-07T07:39:39.1275179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1275264Z x = self.forward_features(x) 2025-09-07T07:39:39.1275623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1275699Z x = self.blocks(x) 2025-09-07T07:39:39.1276048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1276177Z x = self.conv_dw(x) 2025-09-07T07:39:39.1276182Z 2025-09-07T07:39:39.1276278Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1276413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1276703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1276778Z return mod(*inputs) 2025-09-07T07:39:39.1277106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1277191Z x = self.forward_features(x) 2025-09-07T07:39:39.1277551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1277628Z x = self.blocks(x) 2025-09-07T07:39:39.1277981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1278052Z x = self.se(x) 2025-09-07T07:39:39.1278401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1278489Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1278496Z 2025-09-07T07:39:39.1278633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1278914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1278992Z return mod(*inputs) 2025-09-07T07:39:39.1279315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1279401Z x = self.forward_features(x) 2025-09-07T07:39:39.1279760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1279832Z x = self.blocks(x) 2025-09-07T07:39:39.1280185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1280258Z x = self.se(x) 2025-09-07T07:39:39.1280609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1280695Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1280700Z 2025-09-07T07:39:39.1280833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1281118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1281192Z return mod(*inputs) 2025-09-07T07:39:39.1281517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1281601Z x = self.forward_features(x) 2025-09-07T07:39:39.1281960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1282036Z x = self.blocks(x) 2025-09-07T07:39:39.1282388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1282459Z x = self.se(x) 2025-09-07T07:39:39.1282869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1282958Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1282967Z 2025-09-07T07:39:39.1283101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1283388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1283464Z return mod(*inputs) 2025-09-07T07:39:39.1283786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1283874Z x = self.forward_features(x) 2025-09-07T07:39:39.1284234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1284356Z x = self.blocks(x) 2025-09-07T07:39:39.1284711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1284779Z x = self.se(x) 2025-09-07T07:39:39.1285132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1285218Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1285222Z 2025-09-07T07:39:39.1285356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1285641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1285716Z return mod(*inputs) 2025-09-07T07:39:39.1286042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1286127Z x = self.forward_features(x) 2025-09-07T07:39:39.1286488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1286567Z x = self.blocks(x) 2025-09-07T07:39:39.1286918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1286993Z x = self.se(x) 2025-09-07T07:39:39.1287340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1287426Z return x * self.gate(x_se) 2025-09-07T07:39:39.1287430Z 2025-09-07T07:39:39.1287563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1287844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1287921Z return mod(*inputs) 2025-09-07T07:39:39.1288244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1288330Z x = self.forward_features(x) 2025-09-07T07:39:39.1288693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1288767Z x = self.blocks(x) 2025-09-07T07:39:39.1289123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1289192Z x = self.se(x) 2025-09-07T07:39:39.1289540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1289623Z return x * self.gate(x_se) 2025-09-07T07:39:39.1289627Z 2025-09-07T07:39:39.1289760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1290043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1290116Z return mod(*inputs) 2025-09-07T07:39:39.1290441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1290529Z x = self.forward_features(x) 2025-09-07T07:39:39.1290888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1290963Z x = self.blocks(x) 2025-09-07T07:39:39.1291396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1291488Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1291493Z 2025-09-07T07:39:39.1291631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1291919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1291993Z return mod(*inputs) 2025-09-07T07:39:39.1292316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1292404Z x = self.forward_features(x) 2025-09-07T07:39:39.1292764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1292911Z x = self.blocks(x) 2025-09-07T07:39:39.1293267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1293353Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1293357Z 2025-09-07T07:39:39.1293492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1293777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1293854Z return mod(*inputs) 2025-09-07T07:39:39.1294177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1294260Z x = self.forward_features(x) 2025-09-07T07:39:39.1294623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1294699Z x = self.blocks(x) 2025-09-07T07:39:39.1295053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1295128Z x = self.conv_pw(x) 2025-09-07T07:39:39.1295132Z 2025-09-07T07:39:39.1295272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1295555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1295630Z return mod(*inputs) 2025-09-07T07:39:39.1295957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1296043Z x = self.forward_features(x) 2025-09-07T07:39:39.1296404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1296477Z x = self.blocks(x) 2025-09-07T07:39:39.1296824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1296905Z x = self.conv_dw(x) 2025-09-07T07:39:39.1296909Z 2025-09-07T07:39:39.1297004Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1297143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1297426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1297499Z return mod(*inputs) 2025-09-07T07:39:39.1297825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1297908Z x = self.forward_features(x) 2025-09-07T07:39:39.1298272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1298345Z x = self.blocks(x) 2025-09-07T07:39:39.1298693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1298768Z x = self.se(x) 2025-09-07T07:39:39.1299114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1299204Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1299301Z 2025-09-07T07:39:39.1299443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1299730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1299805Z return mod(*inputs) 2025-09-07T07:39:39.1300126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1300213Z x = self.forward_features(x) 2025-09-07T07:39:39.1300574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1300650Z x = self.blocks(x) 2025-09-07T07:39:39.1300998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1301184Z x = self.se(x) 2025-09-07T07:39:39.1301540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1301626Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1301630Z 2025-09-07T07:39:39.1301764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1302045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1302120Z return mod(*inputs) 2025-09-07T07:39:39.1302447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1302533Z x = self.forward_features(x) 2025-09-07T07:39:39.1302896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1302973Z x = self.blocks(x) 2025-09-07T07:39:39.1303326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1303395Z x = self.se(x) 2025-09-07T07:39:39.1303745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1303827Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1303832Z 2025-09-07T07:39:39.1303966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1304251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1304326Z return mod(*inputs) 2025-09-07T07:39:39.1304648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1304736Z x = self.forward_features(x) 2025-09-07T07:39:39.1305094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1305175Z x = self.blocks(x) 2025-09-07T07:39:39.1305524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1305597Z x = self.se(x) 2025-09-07T07:39:39.1305946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1306030Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1306034Z 2025-09-07T07:39:39.1306170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1306451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1306525Z return mod(*inputs) 2025-09-07T07:39:39.1306851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1306935Z x = self.forward_features(x) 2025-09-07T07:39:39.1307304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1307378Z x = self.blocks(x) 2025-09-07T07:39:39.1307809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1307888Z x = self.se(x) 2025-09-07T07:39:39.1308235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1308321Z return x * self.gate(x_se) 2025-09-07T07:39:39.1308325Z 2025-09-07T07:39:39.1308458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1308742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1308816Z return mod(*inputs) 2025-09-07T07:39:39.1309138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1309289Z x = self.forward_features(x) 2025-09-07T07:39:39.1309648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1309722Z x = self.blocks(x) 2025-09-07T07:39:39.1310075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1310143Z x = self.se(x) 2025-09-07T07:39:39.1310492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1310572Z return x * self.gate(x_se) 2025-09-07T07:39:39.1310577Z 2025-09-07T07:39:39.1310714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1310996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1311074Z return mod(*inputs) 2025-09-07T07:39:39.1311399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1311487Z x = self.forward_features(x) 2025-09-07T07:39:39.1311853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1311926Z x = self.blocks(x) 2025-09-07T07:39:39.1312278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1312355Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1312360Z 2025-09-07T07:39:39.1312492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1312776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1312850Z return mod(*inputs) 2025-09-07T07:39:39.1313174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1313258Z x = self.forward_features(x) 2025-09-07T07:39:39.1313622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1313698Z x = self.blocks(x) 2025-09-07T07:39:39.1314052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:39.1314141Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:39.1314145Z 2025-09-07T07:39:39.1314278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1314560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1314635Z return mod(*inputs) 2025-09-07T07:39:39.1314957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1315044Z x = self.forward_features(x) 2025-09-07T07:39:39.1315404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1315483Z x = self.blocks(x) 2025-09-07T07:39:39.1315834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:39.1315991Z x = self.conv_pw(x) 2025-09-07T07:39:39.1315997Z 2025-09-07T07:39:39.1316148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1316435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1316512Z return mod(*inputs) 2025-09-07T07:39:39.1316834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1316919Z x = self.forward_features(x) 2025-09-07T07:39:39.1317281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1317354Z x = self.blocks(x) 2025-09-07T07:39:39.1317771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:39.1317853Z x = self.conv_dw(x) 2025-09-07T07:39:39.1317859Z 2025-09-07T07:39:39.1317957Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1318096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1318381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1318457Z return mod(*inputs) 2025-09-07T07:39:39.1318781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1318865Z x = self.forward_features(x) 2025-09-07T07:39:39.1319226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1319300Z x = self.blocks(x) 2025-09-07T07:39:39.1319653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1319726Z x = self.se(x) 2025-09-07T07:39:39.1320075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:39.1320168Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:39.1320172Z 2025-09-07T07:39:39.1320306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1320592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1320667Z return mod(*inputs) 2025-09-07T07:39:39.1320994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1321081Z x = self.forward_features(x) 2025-09-07T07:39:39.1321442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1321523Z x = self.blocks(x) 2025-09-07T07:39:39.1321872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1321944Z x = self.se(x) 2025-09-07T07:39:39.1322295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:39.1322378Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:39.1322386Z 2025-09-07T07:39:39.1322520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1322802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1322880Z return mod(*inputs) 2025-09-07T07:39:39.1323201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1323287Z x = self.forward_features(x) 2025-09-07T07:39:39.1323648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1323723Z x = self.blocks(x) 2025-09-07T07:39:39.1324077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1324232Z x = self.se(x) 2025-09-07T07:39:39.1324592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:39.1324671Z x_se = self.act1(x_se) 2025-09-07T07:39:39.1324675Z 2025-09-07T07:39:39.1324808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1325093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1325168Z return mod(*inputs) 2025-09-07T07:39:39.1325493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1325577Z x = self.forward_features(x) 2025-09-07T07:39:39.1326017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1326091Z x = self.blocks(x) 2025-09-07T07:39:39.1326444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1326516Z x = self.se(x) 2025-09-07T07:39:39.1326863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:39.1326948Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:39.1326955Z 2025-09-07T07:39:39.1327088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1327370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1327448Z return mod(*inputs) 2025-09-07T07:39:39.1327770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1327862Z x = self.forward_features(x) 2025-09-07T07:39:39.1328221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1328293Z x = self.blocks(x) 2025-09-07T07:39:39.1328651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1328719Z x = self.se(x) 2025-09-07T07:39:39.1329067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1329150Z return x * self.gate(x_se) 2025-09-07T07:39:39.1329155Z 2025-09-07T07:39:39.1329287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1329576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1329649Z return mod(*inputs) 2025-09-07T07:39:39.1329974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1330062Z x = self.forward_features(x) 2025-09-07T07:39:39.1330421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1330500Z x = self.blocks(x) 2025-09-07T07:39:39.1330847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:39.1330919Z x = self.se(x) 2025-09-07T07:39:39.1331265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:39.1331348Z return x * self.gate(x_se) 2025-09-07T07:39:39.1331354Z 2025-09-07T07:39:39.1331487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1331770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1331848Z return mod(*inputs) 2025-09-07T07:39:39.1332175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1332262Z x = self.forward_features(x) 2025-09-07T07:39:39.1332706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1332785Z x = self.blocks(x) 2025-09-07T07:39:39.1333139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:39.1333215Z x = self.conv_pwl(x) 2025-09-07T07:39:39.1333219Z 2025-09-07T07:39:39.1333354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1333636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1333711Z return mod(*inputs) 2025-09-07T07:39:39.1334038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1334185Z x = self.forward_features(x) 2025-09-07T07:39:39.1334550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:39.1334622Z x = self.blocks(x) 2025-09-07T07:39:39.1334975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:39.1335049Z x = self.bn3(x) 2025-09-07T07:39:39.1335355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.1335430Z x = F.batch_norm( 2025-09-07T07:39:39.1335435Z 2025-09-07T07:39:39.1335568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1335853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1335927Z return mod(*inputs) 2025-09-07T07:39:39.1336252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1336343Z x = self.forward_features(x) 2025-09-07T07:39:39.1336706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T07:39:39.1336787Z x = self.conv_head(x) 2025-09-07T07:39:39.1336791Z 2025-09-07T07:39:39.1336926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1337210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1337286Z return mod(*inputs) 2025-09-07T07:39:39.1337609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:39.1337699Z x = self.forward_features(x) 2025-09-07T07:39:39.1338058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T07:39:39.1338132Z x = self.bn2(x) 2025-09-07T07:39:39.1338440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:39.1338512Z x = F.batch_norm( 2025-09-07T07:39:39.1338517Z 2025-09-07T07:39:39.1338620Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.1338754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1339040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1339118Z return mod(*inputs) 2025-09-07T07:39:39.1339443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:39:39.1339526Z x = self.forward_head(x) 2025-09-07T07:39:39.1339868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T07:39:39.1339951Z x = self.global_pool(x) 2025-09-07T07:39:39.1340310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T07:39:39.1340385Z x = self.pool(x) 2025-09-07T07:39:39.1340389Z 2025-09-07T07:39:39.1340525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.1340884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:39.1340978Z return mod(*inputs) 2025-09-07T07:39:39.1341303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:39:39.1341383Z x = self.forward_head(x) 2025-09-07T07:39:39.1341727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T07:39:39.1341848Z return x if pre_logits else self.classifier(x) 2025-09-07T07:39:39.1341853Z 2025-09-07T07:39:47.5665375Z pass 2025-09-07T07:39:47.5667182Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:49.5706296Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:39:49.5707546Z import pynvml # type: ignore[import] 2025-09-07T07:39:52.8741603Z 2025-09-07T07:39:54.3805807Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:54.3806089Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:39:54.3926263Z cpu eval tnt_s_patch16_224 2025-09-07T07:39:55.7921933Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:57.7712768Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:59.7294422Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:18.2882442Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.2882763Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.2883055Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.2883402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2883942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2884409Z return mod(*inputs) 2025-09-07T07:40:18.2884835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2885317Z x = self.forward_features(x) 2025-09-07T07:40:18.2885812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 311, in forward_features 2025-09-07T07:40:18.2886367Z pixel_embed = self.pixel_embed(x, self.pixel_pos) 2025-09-07T07:40:18.2886880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 182, in forward 2025-09-07T07:40:18.2887350Z x = self.proj(x) 2025-09-07T07:40:18.2887484Z 2025-09-07T07:40:18.2887661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2888191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2888652Z return mod(*inputs) 2025-09-07T07:40:18.2889074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2889546Z x = self.forward_features(x) 2025-09-07T07:40:18.2890032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 313, in forward_features 2025-09-07T07:40:18.2890759Z patch_embed = self.norm2_proj(self.proj(self.norm1_proj(pixel_embed.reshape(B, self.num_patches, -1)))) 2025-09-07T07:40:18.2891164Z 2025-09-07T07:40:18.2891302Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2891820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2892285Z return mod(*inputs) 2025-09-07T07:40:18.2892707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2893177Z x = self.forward_features(x) 2025-09-07T07:40:18.2894009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2894597Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2895117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2895720Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2896324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.2896911Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.2897374Z 2025-09-07T07:40:18.2897514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2898027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2898490Z return mod(*inputs) 2025-09-07T07:40:18.2898915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2899385Z x = self.forward_features(x) 2025-09-07T07:40:18.2899865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2900433Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2900958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2901559Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2902162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.2902653Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.2902860Z 2025-09-07T07:40:18.2902993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2903516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2903977Z return mod(*inputs) 2025-09-07T07:40:18.2904395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2904856Z x = self.forward_features(x) 2025-09-07T07:40:18.2905341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2905904Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2906425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2907026Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2907643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.2908134Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.2908340Z 2025-09-07T07:40:18.2908481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2909001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2909460Z return mod(*inputs) 2025-09-07T07:40:18.2909878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2910342Z x = self.forward_features(x) 2025-09-07T07:40:18.2910827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2911393Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2911916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2912517Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2913243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.2913744Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.2913944Z 2025-09-07T07:40:18.2914083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2914597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2915052Z return mod(*inputs) 2025-09-07T07:40:18.2915471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2915933Z x = self.forward_features(x) 2025-09-07T07:40:18.2916416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2917069Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2917591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2918194Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2918799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.2919332Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.2919592Z 2025-09-07T07:40:18.2919730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2920246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2920705Z return mod(*inputs) 2025-09-07T07:40:18.2921116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2921587Z x = self.forward_features(x) 2025-09-07T07:40:18.2922067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2922633Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2923154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2923751Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2924352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.2924842Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.2925050Z 2025-09-07T07:40:18.2925192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2925706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2926168Z return mod(*inputs) 2025-09-07T07:40:18.2926583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2927048Z x = self.forward_features(x) 2025-09-07T07:40:18.2927539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2928100Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2928622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2929219Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2929824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.2930314Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.2930520Z 2025-09-07T07:40:18.2930653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2931179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2931637Z return mod(*inputs) 2025-09-07T07:40:18.2932778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2933297Z x = self.forward_features(x) 2025-09-07T07:40:18.2933776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2934339Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2934862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2935462Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2936061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.2936658Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.2936870Z 2025-09-07T07:40:18.2937006Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2937524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2937982Z return mod(*inputs) 2025-09-07T07:40:18.2938392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2938861Z x = self.forward_features(x) 2025-09-07T07:40:18.2939346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2939913Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2940431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.2941029Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.2941637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.2942088Z x = self.proj(x) 2025-09-07T07:40:18.2942216Z 2025-09-07T07:40:18.2942771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2943292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2943752Z return mod(*inputs) 2025-09-07T07:40:18.2944168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2944633Z x = self.forward_features(x) 2025-09-07T07:40:18.2945116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2945678Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2946199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.2946831Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.2947447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.2947899Z x = self.fc1(x) 2025-09-07T07:40:18.2948020Z 2025-09-07T07:40:18.2948156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2948670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2949129Z return mod(*inputs) 2025-09-07T07:40:18.2949543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2950009Z x = self.forward_features(x) 2025-09-07T07:40:18.2950495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2951059Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2951580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.2952187Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.2952919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.2953376Z x = self.act(x) 2025-09-07T07:40:18.2953503Z 2025-09-07T07:40:18.2953639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2954149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2954611Z return mod(*inputs) 2025-09-07T07:40:18.2955024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2955489Z x = self.forward_features(x) 2025-09-07T07:40:18.2955976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2956622Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2957143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.2957752Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.2958370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.2958817Z x = self.fc2(x) 2025-09-07T07:40:18.2958938Z 2025-09-07T07:40:18.2959076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2959595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2960049Z return mod(*inputs) 2025-09-07T07:40:18.2960469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2960932Z x = self.forward_features(x) 2025-09-07T07:40:18.2961417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 313, in forward_features 2025-09-07T07:40:18.2962138Z patch_embed = self.norm2_proj(self.proj(self.norm1_proj(pixel_embed.reshape(B, self.num_patches, -1)))) 2025-09-07T07:40:18.2962532Z 2025-09-07T07:40:18.2962669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2963188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2963753Z return mod(*inputs) 2025-09-07T07:40:18.2964174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2964633Z x = self.forward_features(x) 2025-09-07T07:40:18.2965115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 314, in forward_features 2025-09-07T07:40:18.2965748Z patch_embed = torch.cat((self.cls_token.expand(B, -1, -1), patch_embed), dim=1) 2025-09-07T07:40:18.2966063Z 2025-09-07T07:40:18.2966200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2966719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2967177Z return mod(*inputs) 2025-09-07T07:40:18.2967595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2968062Z x = self.forward_features(x) 2025-09-07T07:40:18.2968545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2969111Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2969626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.2970277Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.2970645Z 2025-09-07T07:40:18.2970742Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.2971063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2971577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2972239Z return mod(*inputs) 2025-09-07T07:40:18.2972682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2973151Z x = self.forward_features(x) 2025-09-07T07:40:18.2973634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2974199Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2974722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.2975365Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.2975856Z 2025-09-07T07:40:18.2975995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2976513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2976972Z return mod(*inputs) 2025-09-07T07:40:18.2977394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2977857Z x = self.forward_features(x) 2025-09-07T07:40:18.2978337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2978899Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2979418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.2979881Z patch_embed = torch.cat( 2025-09-07T07:40:18.2980030Z 2025-09-07T07:40:18.2980167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2980687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2981142Z return mod(*inputs) 2025-09-07T07:40:18.2981558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2982018Z x = self.forward_features(x) 2025-09-07T07:40:18.2982497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2983050Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2983571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.2984179Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.2984786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.2985370Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.2985670Z 2025-09-07T07:40:18.2985805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2986327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2986781Z return mod(*inputs) 2025-09-07T07:40:18.2987203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2987666Z x = self.forward_features(x) 2025-09-07T07:40:18.2988146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2988713Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2989233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.2989840Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.2990456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.2990943Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.2991152Z 2025-09-07T07:40:18.2991418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2991965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2992424Z return mod(*inputs) 2025-09-07T07:40:18.2992837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2993301Z x = self.forward_features(x) 2025-09-07T07:40:18.2993782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2994342Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.2994865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.2995549Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.2996167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.2996650Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.2996857Z 2025-09-07T07:40:18.2996995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.2997508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.2997966Z return mod(*inputs) 2025-09-07T07:40:18.2998384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.2998850Z x = self.forward_features(x) 2025-09-07T07:40:18.2999332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.2999891Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3000412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3001018Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3001629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3002107Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3002307Z 2025-09-07T07:40:18.3002440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3002951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3003414Z return mod(*inputs) 2025-09-07T07:40:18.3003831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3004296Z x = self.forward_features(x) 2025-09-07T07:40:18.3004782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3005344Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3005872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3006482Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3007089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3007631Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3007891Z 2025-09-07T07:40:18.3008028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3008545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3009006Z return mod(*inputs) 2025-09-07T07:40:18.3009425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3009888Z x = self.forward_features(x) 2025-09-07T07:40:18.3010520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3011107Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3011622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3012228Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3012844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3013331Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3013535Z 2025-09-07T07:40:18.3013673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3014278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3014732Z return mod(*inputs) 2025-09-07T07:40:18.3015150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3015616Z x = self.forward_features(x) 2025-09-07T07:40:18.3016100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3016664Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3017186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3017795Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3018401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3018891Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3019103Z 2025-09-07T07:40:18.3019238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3019753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3020212Z return mod(*inputs) 2025-09-07T07:40:18.3020626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3021085Z x = self.forward_features(x) 2025-09-07T07:40:18.3021569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3022133Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3022646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3023248Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3023849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3024345Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3024556Z 2025-09-07T07:40:18.3024691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3025209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3025663Z return mod(*inputs) 2025-09-07T07:40:18.3026077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3026539Z x = self.forward_features(x) 2025-09-07T07:40:18.3027026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3027600Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3028118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3042575Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3043356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3043971Z x = self.proj(x) 2025-09-07T07:40:18.3044114Z 2025-09-07T07:40:18.3044255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3044778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3045240Z return mod(*inputs) 2025-09-07T07:40:18.3045654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3046125Z x = self.forward_features(x) 2025-09-07T07:40:18.3046610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3047179Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3047803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3048400Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3049003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3049587Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3049885Z 2025-09-07T07:40:18.3050025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3050539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3050994Z return mod(*inputs) 2025-09-07T07:40:18.3051410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3051874Z x = self.forward_features(x) 2025-09-07T07:40:18.3052354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3052918Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3053441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3054039Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3054640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3055123Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3055324Z 2025-09-07T07:40:18.3055458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3055969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3056426Z return mod(*inputs) 2025-09-07T07:40:18.3056839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3057303Z x = self.forward_features(x) 2025-09-07T07:40:18.3057790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3058356Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3058878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3059476Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3060071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3060552Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3060758Z 2025-09-07T07:40:18.3060892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3061406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3061867Z return mod(*inputs) 2025-09-07T07:40:18.3062290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3062752Z x = self.forward_features(x) 2025-09-07T07:40:18.3063478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3064049Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3064565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3065159Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3065752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3066234Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3066434Z 2025-09-07T07:40:18.3066568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3067233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3067688Z return mod(*inputs) 2025-09-07T07:40:18.3068100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3068562Z x = self.forward_features(x) 2025-09-07T07:40:18.3069042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3069600Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3070117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3070709Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3071307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3071846Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3072099Z 2025-09-07T07:40:18.3072236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3072752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3073210Z return mod(*inputs) 2025-09-07T07:40:18.3073623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3074083Z x = self.forward_features(x) 2025-09-07T07:40:18.3074564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3075116Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3075633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3076226Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3076827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3077317Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3077522Z 2025-09-07T07:40:18.3077661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3078174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3078629Z return mod(*inputs) 2025-09-07T07:40:18.3079048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3079504Z x = self.forward_features(x) 2025-09-07T07:40:18.3079987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3080548Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3081069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3081673Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3082424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3082925Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3083135Z 2025-09-07T07:40:18.3083269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3083779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3084236Z return mod(*inputs) 2025-09-07T07:40:18.3084650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3085109Z x = self.forward_features(x) 2025-09-07T07:40:18.3085589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3086241Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3086751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3087349Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3087944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3088431Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3088637Z 2025-09-07T07:40:18.3088774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3089281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3089739Z return mod(*inputs) 2025-09-07T07:40:18.3090152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3090612Z x = self.forward_features(x) 2025-09-07T07:40:18.3091093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3091654Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3092175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3092768Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3093366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3093810Z x = self.proj(x) 2025-09-07T07:40:18.3093939Z 2025-09-07T07:40:18.3094074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3094584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3095041Z return mod(*inputs) 2025-09-07T07:40:18.3095448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3095913Z x = self.forward_features(x) 2025-09-07T07:40:18.3096395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3096958Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3097472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3098060Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3098383Z 2025-09-07T07:40:18.3098517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3099029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3099487Z return mod(*inputs) 2025-09-07T07:40:18.3099904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3100369Z x = self.forward_features(x) 2025-09-07T07:40:18.3100852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3101533Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3102062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3102662Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3103273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3103717Z x = self.fc1(x) 2025-09-07T07:40:18.3103835Z 2025-09-07T07:40:18.3103975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3104486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3105032Z return mod(*inputs) 2025-09-07T07:40:18.3105446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3105905Z x = self.forward_features(x) 2025-09-07T07:40:18.3106390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3106944Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3107464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3108070Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3108677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3109123Z x = self.act(x) 2025-09-07T07:40:18.3109241Z 2025-09-07T07:40:18.3109375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3109896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3110350Z return mod(*inputs) 2025-09-07T07:40:18.3110763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3111228Z x = self.forward_features(x) 2025-09-07T07:40:18.3111706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3112266Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3112781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3113388Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3113993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3114437Z x = self.fc2(x) 2025-09-07T07:40:18.3114562Z 2025-09-07T07:40:18.3114696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3115210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3115663Z return mod(*inputs) 2025-09-07T07:40:18.3116075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3116537Z x = self.forward_features(x) 2025-09-07T07:40:18.3117020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3117578Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3118095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3118688Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3119280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3119742Z x = self.fc1(x) 2025-09-07T07:40:18.3119860Z 2025-09-07T07:40:18.3119997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3120635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3121101Z return mod(*inputs) 2025-09-07T07:40:18.3121513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3121979Z x = self.forward_features(x) 2025-09-07T07:40:18.3122457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3123015Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3123528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3124119Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3124802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3125244Z x = self.act(x) 2025-09-07T07:40:18.3125367Z 2025-09-07T07:40:18.3125505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3126016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3126470Z return mod(*inputs) 2025-09-07T07:40:18.3126877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3127338Z x = self.forward_features(x) 2025-09-07T07:40:18.3127817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3128374Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3128892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3129483Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3130075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3130525Z x = self.fc2(x) 2025-09-07T07:40:18.3130643Z 2025-09-07T07:40:18.3130779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3131286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3131744Z return mod(*inputs) 2025-09-07T07:40:18.3132154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3132620Z x = self.forward_features(x) 2025-09-07T07:40:18.3133101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3133655Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3134178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3134824Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3135184Z 2025-09-07T07:40:18.3135286Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3135606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3136112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3136568Z return mod(*inputs) 2025-09-07T07:40:18.3136980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3137443Z x = self.forward_features(x) 2025-09-07T07:40:18.3137923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3138483Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3139000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3139752Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3140123Z 2025-09-07T07:40:18.3140263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3140772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3141227Z return mod(*inputs) 2025-09-07T07:40:18.3141639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3142105Z x = self.forward_features(x) 2025-09-07T07:40:18.3142581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3143142Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3143747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3144206Z patch_embed = torch.cat( 2025-09-07T07:40:18.3144358Z 2025-09-07T07:40:18.3144497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3145005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3145464Z return mod(*inputs) 2025-09-07T07:40:18.3145877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3146337Z x = self.forward_features(x) 2025-09-07T07:40:18.3146816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3147368Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3147884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3148489Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3149100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3149673Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3149975Z 2025-09-07T07:40:18.3150111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3150623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3151077Z return mod(*inputs) 2025-09-07T07:40:18.3151491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3151951Z x = self.forward_features(x) 2025-09-07T07:40:18.3152431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3152992Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3153509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3154117Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3154720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3155204Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3155410Z 2025-09-07T07:40:18.3155544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3156053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3156504Z return mod(*inputs) 2025-09-07T07:40:18.3156919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3157377Z x = self.forward_features(x) 2025-09-07T07:40:18.3157867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3158424Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3159059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3159669Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3160273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3160753Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3160953Z 2025-09-07T07:40:18.3161088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3161596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3162053Z return mod(*inputs) 2025-09-07T07:40:18.3162543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3163003Z x = self.forward_features(x) 2025-09-07T07:40:18.3163568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3164129Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3164645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3165250Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3165855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3166330Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3166533Z 2025-09-07T07:40:18.3166668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3167174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3167632Z return mod(*inputs) 2025-09-07T07:40:18.3168044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3168509Z x = self.forward_features(x) 2025-09-07T07:40:18.3168987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3169544Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3170060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3170661Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3171267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3171805Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3172065Z 2025-09-07T07:40:18.3172203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3172712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3173167Z return mod(*inputs) 2025-09-07T07:40:18.3173585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3174045Z x = self.forward_features(x) 2025-09-07T07:40:18.3174527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3175082Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3175602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3176208Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3176819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3177309Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3177517Z 2025-09-07T07:40:18.3177875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3178399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3178857Z return mod(*inputs) 2025-09-07T07:40:18.3179270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3179731Z x = self.forward_features(x) 2025-09-07T07:40:18.3180209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3180766Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3181281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3182019Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3182619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3183106Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3183312Z 2025-09-07T07:40:18.3183446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3183956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3184409Z return mod(*inputs) 2025-09-07T07:40:18.3184817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3185278Z x = self.forward_features(x) 2025-09-07T07:40:18.3185758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3186316Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3186832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3187434Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3188039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3188526Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3188731Z 2025-09-07T07:40:18.3188870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3189378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3189831Z return mod(*inputs) 2025-09-07T07:40:18.3190244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3190705Z x = self.forward_features(x) 2025-09-07T07:40:18.3191186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3191746Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3192264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3192866Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3193471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3193913Z x = self.proj(x) 2025-09-07T07:40:18.3194043Z 2025-09-07T07:40:18.3194175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3194684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3195138Z return mod(*inputs) 2025-09-07T07:40:18.3195550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3196015Z x = self.forward_features(x) 2025-09-07T07:40:18.3196498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3197179Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3197713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3198309Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3198904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3199478Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3199777Z 2025-09-07T07:40:18.3199915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3200425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3200962Z return mod(*inputs) 2025-09-07T07:40:18.3201376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3201837Z x = self.forward_features(x) 2025-09-07T07:40:18.3202319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3202877Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3203389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3203985Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3204581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3205065Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3205265Z 2025-09-07T07:40:18.3205407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3205913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3206366Z return mod(*inputs) 2025-09-07T07:40:18.3206779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3207242Z x = self.forward_features(x) 2025-09-07T07:40:18.3207718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3208271Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3208786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3209379Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3209976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3210455Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3210669Z 2025-09-07T07:40:18.3210803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3211318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3211774Z return mod(*inputs) 2025-09-07T07:40:18.3212185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3212648Z x = self.forward_features(x) 2025-09-07T07:40:18.3213129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3213688Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3214204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3214792Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3215392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3215875Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3216074Z 2025-09-07T07:40:18.3216339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3216859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3217312Z return mod(*inputs) 2025-09-07T07:40:18.3217723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3218182Z x = self.forward_features(x) 2025-09-07T07:40:18.3218659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3219210Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3219732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3220411Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3221013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3221549Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3221805Z 2025-09-07T07:40:18.3221938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3222450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3222905Z return mod(*inputs) 2025-09-07T07:40:18.3223316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3223777Z x = self.forward_features(x) 2025-09-07T07:40:18.3224252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3224815Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3225332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3225927Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3226524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3227013Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3227222Z 2025-09-07T07:40:18.3227357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3227870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3228323Z return mod(*inputs) 2025-09-07T07:40:18.3228732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3229198Z x = self.forward_features(x) 2025-09-07T07:40:18.3229676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3230234Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3230752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3231350Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3231944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3232427Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3232632Z 2025-09-07T07:40:18.3232771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3233277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3233734Z return mod(*inputs) 2025-09-07T07:40:18.3234149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3234611Z x = self.forward_features(x) 2025-09-07T07:40:18.3235192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3235769Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3236284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3236880Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3237479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3237965Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3238173Z 2025-09-07T07:40:18.3238306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3238904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3239359Z return mod(*inputs) 2025-09-07T07:40:18.3239771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3240232Z x = self.forward_features(x) 2025-09-07T07:40:18.3240711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3241266Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3241782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3242376Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3242971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3243417Z x = self.proj(x) 2025-09-07T07:40:18.3243550Z 2025-09-07T07:40:18.3243683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3244196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3244649Z return mod(*inputs) 2025-09-07T07:40:18.3245066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3245528Z x = self.forward_features(x) 2025-09-07T07:40:18.3246007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3246564Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3247076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3247688Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3248296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3248747Z x = self.fc1(x) 2025-09-07T07:40:18.3248866Z 2025-09-07T07:40:18.3249002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3249519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3249979Z return mod(*inputs) 2025-09-07T07:40:18.3250390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3250852Z x = self.forward_features(x) 2025-09-07T07:40:18.3251326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3251885Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3252406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3253011Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3253626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3254067Z x = self.act(x) 2025-09-07T07:40:18.3254190Z 2025-09-07T07:40:18.3254467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3254993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3255450Z return mod(*inputs) 2025-09-07T07:40:18.3255859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3256322Z x = self.forward_features(x) 2025-09-07T07:40:18.3256800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3257359Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3257875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3258564Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3259179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3259631Z x = self.fc2(x) 2025-09-07T07:40:18.3259748Z 2025-09-07T07:40:18.3259887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3260395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3260851Z return mod(*inputs) 2025-09-07T07:40:18.3261264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3261726Z x = self.forward_features(x) 2025-09-07T07:40:18.3262205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3262762Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3263385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3263991Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3264585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3265030Z x = self.fc1(x) 2025-09-07T07:40:18.3265149Z 2025-09-07T07:40:18.3265284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3265800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3266254Z return mod(*inputs) 2025-09-07T07:40:18.3266661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3267117Z x = self.forward_features(x) 2025-09-07T07:40:18.3267596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3268158Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3268682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3269268Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3269857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3270300Z x = self.act(x) 2025-09-07T07:40:18.3270421Z 2025-09-07T07:40:18.3270556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3271066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3271519Z return mod(*inputs) 2025-09-07T07:40:18.3271929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3272394Z x = self.forward_features(x) 2025-09-07T07:40:18.3272875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3273618Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3274160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3274751Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3275344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3275787Z x = self.fc2(x) 2025-09-07T07:40:18.3275905Z 2025-09-07T07:40:18.3276040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3276552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3277007Z return mod(*inputs) 2025-09-07T07:40:18.3277555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3278018Z x = self.forward_features(x) 2025-09-07T07:40:18.3278496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3279058Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3279574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3280213Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3280569Z 2025-09-07T07:40:18.3280671Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3280986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3281502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3281958Z return mod(*inputs) 2025-09-07T07:40:18.3282375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3282832Z x = self.forward_features(x) 2025-09-07T07:40:18.3283314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3283872Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3284390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3285025Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3285381Z 2025-09-07T07:40:18.3285516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3286026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3286481Z return mod(*inputs) 2025-09-07T07:40:18.3286900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3287360Z x = self.forward_features(x) 2025-09-07T07:40:18.3287843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3288404Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3288919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3289379Z patch_embed = torch.cat( 2025-09-07T07:40:18.3289528Z 2025-09-07T07:40:18.3289659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3290173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3290627Z return mod(*inputs) 2025-09-07T07:40:18.3291041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3291510Z x = self.forward_features(x) 2025-09-07T07:40:18.3291988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3292672Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3293210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3293813Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3294415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3294988Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3295287Z 2025-09-07T07:40:18.3295423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3295933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3296461Z return mod(*inputs) 2025-09-07T07:40:18.3296870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3297330Z x = self.forward_features(x) 2025-09-07T07:40:18.3297812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3298372Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3298890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3299491Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3300100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3300582Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3300780Z 2025-09-07T07:40:18.3300918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3301447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3301904Z return mod(*inputs) 2025-09-07T07:40:18.3302323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3302785Z x = self.forward_features(x) 2025-09-07T07:40:18.3303267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3303820Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3304342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3304947Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3305552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3306039Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3306239Z 2025-09-07T07:40:18.3306372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3306890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3307343Z return mod(*inputs) 2025-09-07T07:40:18.3307757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3308216Z x = self.forward_features(x) 2025-09-07T07:40:18.3308696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3309255Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3309778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3310382Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3310989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3311470Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3311674Z 2025-09-07T07:40:18.3311934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3312463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3312915Z return mod(*inputs) 2025-09-07T07:40:18.3313331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3313792Z x = self.forward_features(x) 2025-09-07T07:40:18.3314271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3314833Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3315345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3316068Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3316680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3317219Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3317472Z 2025-09-07T07:40:18.3317609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3318114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3318570Z return mod(*inputs) 2025-09-07T07:40:18.3318982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3319445Z x = self.forward_features(x) 2025-09-07T07:40:18.3319919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3320478Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3320995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3321603Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3322211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3322695Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3322907Z 2025-09-07T07:40:18.3323042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3323551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3324005Z return mod(*inputs) 2025-09-07T07:40:18.3324418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3324876Z x = self.forward_features(x) 2025-09-07T07:40:18.3325362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3325924Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3326444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3327045Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3327656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3328146Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3328352Z 2025-09-07T07:40:18.3328492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3329005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3329457Z return mod(*inputs) 2025-09-07T07:40:18.3329881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3330342Z x = self.forward_features(x) 2025-09-07T07:40:18.3330940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3331507Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3332027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3332630Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3333234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3333723Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3333928Z 2025-09-07T07:40:18.3334063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3334658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3335113Z return mod(*inputs) 2025-09-07T07:40:18.3335527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3335990Z x = self.forward_features(x) 2025-09-07T07:40:18.3336465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3337020Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3337536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3338141Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3338741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3339190Z x = self.proj(x) 2025-09-07T07:40:18.3339321Z 2025-09-07T07:40:18.3339457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3339967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3340422Z return mod(*inputs) 2025-09-07T07:40:18.3340834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3341295Z x = self.forward_features(x) 2025-09-07T07:40:18.3341775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3342333Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3342848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3343443Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3344041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3344616Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3344913Z 2025-09-07T07:40:18.3345051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3345566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3346024Z return mod(*inputs) 2025-09-07T07:40:18.3346438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3346903Z x = self.forward_features(x) 2025-09-07T07:40:18.3347387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3347944Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3348461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3349060Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3349661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3350266Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3350474Z 2025-09-07T07:40:18.3350609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3351123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3351574Z return mod(*inputs) 2025-09-07T07:40:18.3351984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3352443Z x = self.forward_features(x) 2025-09-07T07:40:18.3352924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3353482Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3354095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3354692Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3355292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3355773Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3355976Z 2025-09-07T07:40:18.3356110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3356627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3357083Z return mod(*inputs) 2025-09-07T07:40:18.3357491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3357955Z x = self.forward_features(x) 2025-09-07T07:40:18.3358439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3359000Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3359515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3360112Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3360711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3361194Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3361394Z 2025-09-07T07:40:18.3361532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3362038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3362492Z return mod(*inputs) 2025-09-07T07:40:18.3362906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3363502Z x = self.forward_features(x) 2025-09-07T07:40:18.3363980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3364544Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3365057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3365650Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3366249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3366780Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3367037Z 2025-09-07T07:40:18.3367174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3367685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3368147Z return mod(*inputs) 2025-09-07T07:40:18.3368562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3369017Z x = self.forward_features(x) 2025-09-07T07:40:18.3369700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3370273Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3370792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3371383Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3371979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3372468Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3372674Z 2025-09-07T07:40:18.3372813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3373454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3373906Z return mod(*inputs) 2025-09-07T07:40:18.3374321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3374785Z x = self.forward_features(x) 2025-09-07T07:40:18.3375266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3375819Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3376339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3376934Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3377531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3378024Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3378229Z 2025-09-07T07:40:18.3378363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3378881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3379338Z return mod(*inputs) 2025-09-07T07:40:18.3379752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3380215Z x = self.forward_features(x) 2025-09-07T07:40:18.3380693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3381248Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3381767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3382362Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3382962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3383448Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3383655Z 2025-09-07T07:40:18.3383793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3384305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3384761Z return mod(*inputs) 2025-09-07T07:40:18.3385172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3385630Z x = self.forward_features(x) 2025-09-07T07:40:18.3386110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3386670Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3387186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3387779Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3388495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3388947Z x = self.proj(x) 2025-09-07T07:40:18.3389070Z 2025-09-07T07:40:18.3389207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3389714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3390169Z return mod(*inputs) 2025-09-07T07:40:18.3390584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3391046Z x = self.forward_features(x) 2025-09-07T07:40:18.3391526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3392223Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3392743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3393348Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3393670Z 2025-09-07T07:40:18.3393809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3394324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3394776Z return mod(*inputs) 2025-09-07T07:40:18.3395192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3395656Z x = self.forward_features(x) 2025-09-07T07:40:18.3396138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3396693Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3397216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3397820Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3398436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3398879Z x = self.fc1(x) 2025-09-07T07:40:18.3398997Z 2025-09-07T07:40:18.3399130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3399642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3400094Z return mod(*inputs) 2025-09-07T07:40:18.3400505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3400963Z x = self.forward_features(x) 2025-09-07T07:40:18.3401444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3402006Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3402525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3403138Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3403746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3404190Z x = self.act(x) 2025-09-07T07:40:18.3404313Z 2025-09-07T07:40:18.3404450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3404963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3405418Z return mod(*inputs) 2025-09-07T07:40:18.3405834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3406295Z x = self.forward_features(x) 2025-09-07T07:40:18.3406781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3407336Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3418490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3419217Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3419829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3419900Z x = self.fc2(x) 2025-09-07T07:40:18.3419906Z 2025-09-07T07:40:18.3420043Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3420339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3420414Z return mod(*inputs) 2025-09-07T07:40:18.3420702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3420868Z x = self.forward_features(x) 2025-09-07T07:40:18.3421197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3421345Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3421626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3421844Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3422125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3422199Z x = self.fc1(x) 2025-09-07T07:40:18.3422204Z 2025-09-07T07:40:18.3422339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3422624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3422707Z return mod(*inputs) 2025-09-07T07:40:18.3422988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3423075Z x = self.forward_features(x) 2025-09-07T07:40:18.3423397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3423540Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3423826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3424038Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3424320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3424391Z x = self.act(x) 2025-09-07T07:40:18.3424395Z 2025-09-07T07:40:18.3424536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3424826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3424900Z return mod(*inputs) 2025-09-07T07:40:18.3425185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3425269Z x = self.forward_features(x) 2025-09-07T07:40:18.3425593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3425738Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3426018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3426236Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3426515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3426592Z x = self.fc2(x) 2025-09-07T07:40:18.3426596Z 2025-09-07T07:40:18.3426731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3427016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3427160Z return mod(*inputs) 2025-09-07T07:40:18.3427447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3427534Z x = self.forward_features(x) 2025-09-07T07:40:18.3427854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3428001Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3428281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3428549Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3428615Z 2025-09-07T07:40:18.3428723Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3428858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3429148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3429228Z return mod(*inputs) 2025-09-07T07:40:18.3429510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3429598Z x = self.forward_features(x) 2025-09-07T07:40:18.3429918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3430066Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3430344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3430604Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3430616Z 2025-09-07T07:40:18.3430751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3431035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3431116Z return mod(*inputs) 2025-09-07T07:40:18.3431398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3431487Z x = self.forward_features(x) 2025-09-07T07:40:18.3431808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3431950Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3432234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3432318Z patch_embed = torch.cat( 2025-09-07T07:40:18.3432322Z 2025-09-07T07:40:18.3432461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3432749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3432822Z return mod(*inputs) 2025-09-07T07:40:18.3433108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3433193Z x = self.forward_features(x) 2025-09-07T07:40:18.3433515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3433664Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3433946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3434173Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3434455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3434662Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3434666Z 2025-09-07T07:40:18.3434801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3435160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3435248Z return mod(*inputs) 2025-09-07T07:40:18.3435529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3435614Z x = self.forward_features(x) 2025-09-07T07:40:18.3435941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3436084Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3436370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3436598Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3436927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3437042Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3437047Z 2025-09-07T07:40:18.3437185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3437474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3437549Z return mod(*inputs) 2025-09-07T07:40:18.3437834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3437917Z x = self.forward_features(x) 2025-09-07T07:40:18.3438238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3438385Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3438665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3438899Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3439181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3439285Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3439289Z 2025-09-07T07:40:18.3439427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3439713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3439792Z return mod(*inputs) 2025-09-07T07:40:18.3440071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3440154Z x = self.forward_features(x) 2025-09-07T07:40:18.3440481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3440628Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3440909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3441139Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3441421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3441526Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3441530Z 2025-09-07T07:40:18.3441663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3441949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3442024Z return mod(*inputs) 2025-09-07T07:40:18.3442306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3442393Z x = self.forward_features(x) 2025-09-07T07:40:18.3442717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3442863Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3443260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3443501Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3443776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3443941Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3443946Z 2025-09-07T07:40:18.3444078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3444359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3444436Z return mod(*inputs) 2025-09-07T07:40:18.3444786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3444874Z x = self.forward_features(x) 2025-09-07T07:40:18.3445196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3445339Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3445621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3445848Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3446129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3446241Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3446245Z 2025-09-07T07:40:18.3446378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3446668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3446743Z return mod(*inputs) 2025-09-07T07:40:18.3447026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3447117Z x = self.forward_features(x) 2025-09-07T07:40:18.3447437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3447580Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3447858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3448090Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3448373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3448486Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3448494Z 2025-09-07T07:40:18.3448628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3448909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3448991Z return mod(*inputs) 2025-09-07T07:40:18.3449270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3449358Z x = self.forward_features(x) 2025-09-07T07:40:18.3449677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3449818Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3450101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3450327Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3450606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3450720Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3450724Z 2025-09-07T07:40:18.3450952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3451245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3451321Z return mod(*inputs) 2025-09-07T07:40:18.3451603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3451688Z x = self.forward_features(x) 2025-09-07T07:40:18.3452010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3452154Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3452435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3452735Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3453012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3453092Z x = self.proj(x) 2025-09-07T07:40:18.3453097Z 2025-09-07T07:40:18.3453231Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3453516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3453593Z return mod(*inputs) 2025-09-07T07:40:18.3453872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3453962Z x = self.forward_features(x) 2025-09-07T07:40:18.3454280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3454426Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3454709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3454931Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3455215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3455416Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3455421Z 2025-09-07T07:40:18.3455556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3455836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3455913Z return mod(*inputs) 2025-09-07T07:40:18.3456191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3456275Z x = self.forward_features(x) 2025-09-07T07:40:18.3456598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3456742Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3457029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3457248Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3457526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3457637Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3457641Z 2025-09-07T07:40:18.3457776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3458064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3458140Z return mod(*inputs) 2025-09-07T07:40:18.3458419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3458511Z x = self.forward_features(x) 2025-09-07T07:40:18.3458832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3459068Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3459350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3459571Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3459852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3459957Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3459962Z 2025-09-07T07:40:18.3460100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3460380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3460517Z return mod(*inputs) 2025-09-07T07:40:18.3460797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3460879Z x = self.forward_features(x) 2025-09-07T07:40:18.3461207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3461347Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3461632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3461850Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3462125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3462232Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3462236Z 2025-09-07T07:40:18.3462368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3462659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3462734Z return mod(*inputs) 2025-09-07T07:40:18.3463019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3463103Z x = self.forward_features(x) 2025-09-07T07:40:18.3463554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3463700Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3463978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3464200Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3464476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3464640Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3464647Z 2025-09-07T07:40:18.3464782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3465067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3465144Z return mod(*inputs) 2025-09-07T07:40:18.3465423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3465510Z x = self.forward_features(x) 2025-09-07T07:40:18.3465830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3465972Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3466255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3466475Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3466759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3466870Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3466874Z 2025-09-07T07:40:18.3467153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3467451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3467525Z return mod(*inputs) 2025-09-07T07:40:18.3467808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3467892Z x = self.forward_features(x) 2025-09-07T07:40:18.3468210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3468356Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3468635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3468942Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3469224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3469336Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3469340Z 2025-09-07T07:40:18.3469473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3469757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3469837Z return mod(*inputs) 2025-09-07T07:40:18.3470117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3470205Z x = self.forward_features(x) 2025-09-07T07:40:18.3470525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3470671Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3470953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3471174Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3471459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3471569Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3471573Z 2025-09-07T07:40:18.3471709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3471994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3472068Z return mod(*inputs) 2025-09-07T07:40:18.3472351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3472436Z x = self.forward_features(x) 2025-09-07T07:40:18.3472763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3472905Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3473189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3473413Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3473692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3473766Z x = self.proj(x) 2025-09-07T07:40:18.3473770Z 2025-09-07T07:40:18.3473903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3474187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3474263Z return mod(*inputs) 2025-09-07T07:40:18.3474541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3474633Z x = self.forward_features(x) 2025-09-07T07:40:18.3475067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3475217Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3475495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3475725Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3476007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3476078Z x = self.fc1(x) 2025-09-07T07:40:18.3476083Z 2025-09-07T07:40:18.3476219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3476503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3476649Z return mod(*inputs) 2025-09-07T07:40:18.3476932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3477018Z x = self.forward_features(x) 2025-09-07T07:40:18.3477345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3477487Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3477765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3477998Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3478275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3478348Z x = self.act(x) 2025-09-07T07:40:18.3478352Z 2025-09-07T07:40:18.3478484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3478774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3478847Z return mod(*inputs) 2025-09-07T07:40:18.3479129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3479217Z x = self.forward_features(x) 2025-09-07T07:40:18.3479536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3479680Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3479959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3480189Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3480469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3480544Z x = self.fc2(x) 2025-09-07T07:40:18.3480548Z 2025-09-07T07:40:18.3480694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3480980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3481058Z return mod(*inputs) 2025-09-07T07:40:18.3481344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3481428Z x = self.forward_features(x) 2025-09-07T07:40:18.3481752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3481894Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3482174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3482391Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3482676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3482749Z x = self.fc1(x) 2025-09-07T07:40:18.3482753Z 2025-09-07T07:40:18.3482887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3483249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3483334Z return mod(*inputs) 2025-09-07T07:40:18.3483614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3483704Z x = self.forward_features(x) 2025-09-07T07:40:18.3484022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3484166Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3484444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3484712Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3484995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3485065Z x = self.act(x) 2025-09-07T07:40:18.3485073Z 2025-09-07T07:40:18.3485209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3485492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3485566Z return mod(*inputs) 2025-09-07T07:40:18.3485847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3485932Z x = self.forward_features(x) 2025-09-07T07:40:18.3486254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3486395Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3486678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3486896Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3487176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3487249Z x = self.fc2(x) 2025-09-07T07:40:18.3487254Z 2025-09-07T07:40:18.3487388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3487675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3487749Z return mod(*inputs) 2025-09-07T07:40:18.3488027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3488112Z x = self.forward_features(x) 2025-09-07T07:40:18.3488430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3488578Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3488856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3489123Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3489128Z 2025-09-07T07:40:18.3489230Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3489364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3489651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3489725Z return mod(*inputs) 2025-09-07T07:40:18.3490004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3490090Z x = self.forward_features(x) 2025-09-07T07:40:18.3490407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3490555Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3490835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3491179Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3491184Z 2025-09-07T07:40:18.3491325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3491607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3491684Z return mod(*inputs) 2025-09-07T07:40:18.3491963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3492051Z x = self.forward_features(x) 2025-09-07T07:40:18.3492372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3492588Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3492870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3492954Z patch_embed = torch.cat( 2025-09-07T07:40:18.3492962Z 2025-09-07T07:40:18.3493098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3493379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3493456Z return mod(*inputs) 2025-09-07T07:40:18.3493735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3493820Z x = self.forward_features(x) 2025-09-07T07:40:18.3494144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3494286Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3494573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3494799Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3495083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3495285Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3495289Z 2025-09-07T07:40:18.3495422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3495708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3495783Z return mod(*inputs) 2025-09-07T07:40:18.3496060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3496147Z x = self.forward_features(x) 2025-09-07T07:40:18.3496467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3496616Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3496900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3497130Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3497407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3497513Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3497517Z 2025-09-07T07:40:18.3497654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3497938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3498016Z return mod(*inputs) 2025-09-07T07:40:18.3498298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3498386Z x = self.forward_features(x) 2025-09-07T07:40:18.3498706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3498933Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3499221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3499447Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3499731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3499835Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3499840Z 2025-09-07T07:40:18.3499973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3500259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3500411Z return mod(*inputs) 2025-09-07T07:40:18.3500692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3500777Z x = self.forward_features(x) 2025-09-07T07:40:18.3501103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3501248Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3501527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3501760Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3502038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3502144Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3502151Z 2025-09-07T07:40:18.3502285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3502573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3502652Z return mod(*inputs) 2025-09-07T07:40:18.3502936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3503024Z x = self.forward_features(x) 2025-09-07T07:40:18.3503343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3503482Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3503764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3503990Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3504270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3504435Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3504440Z 2025-09-07T07:40:18.3504574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3504864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3504939Z return mod(*inputs) 2025-09-07T07:40:18.3505221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3505306Z x = self.forward_features(x) 2025-09-07T07:40:18.3505629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3505771Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3506051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3506281Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3506563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3506676Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3506681Z 2025-09-07T07:40:18.3506895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3507184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3507263Z return mod(*inputs) 2025-09-07T07:40:18.3507544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3507631Z x = self.forward_features(x) 2025-09-07T07:40:18.3507949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3508091Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3508372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3508654Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3508940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3509052Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3509056Z 2025-09-07T07:40:18.3509192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3509476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3509550Z return mod(*inputs) 2025-09-07T07:40:18.3509836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3509920Z x = self.forward_features(x) 2025-09-07T07:40:18.3510242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3510387Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3510666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3510897Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3511177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3511291Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3511295Z 2025-09-07T07:40:18.3511428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3511715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3511791Z return mod(*inputs) 2025-09-07T07:40:18.3512070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3512158Z x = self.forward_features(x) 2025-09-07T07:40:18.3512481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3512625Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3512906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3513133Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3513413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3513484Z x = self.proj(x) 2025-09-07T07:40:18.3513488Z 2025-09-07T07:40:18.3513624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3513908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3513982Z return mod(*inputs) 2025-09-07T07:40:18.3514263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3514352Z x = self.forward_features(x) 2025-09-07T07:40:18.3514674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3514889Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3515179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3515397Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3515679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3515881Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3515885Z 2025-09-07T07:40:18.3516020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3516305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3516442Z return mod(*inputs) 2025-09-07T07:40:18.3516723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3516814Z x = self.forward_features(x) 2025-09-07T07:40:18.3517134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3517278Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3517558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3517779Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3518057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3518161Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3518169Z 2025-09-07T07:40:18.3518306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3518589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3518670Z return mod(*inputs) 2025-09-07T07:40:18.3518950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3519034Z x = self.forward_features(x) 2025-09-07T07:40:18.3519356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3519498Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3519780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3519999Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3520279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3520391Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3520395Z 2025-09-07T07:40:18.3520528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3520818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3520893Z return mod(*inputs) 2025-09-07T07:40:18.3521172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3521256Z x = self.forward_features(x) 2025-09-07T07:40:18.3521577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3521724Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3522001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3522228Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3522504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3522696Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3522701Z 2025-09-07T07:40:18.3522842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3523126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3523204Z return mod(*inputs) 2025-09-07T07:40:18.3523484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3523569Z x = self.forward_features(x) 2025-09-07T07:40:18.3523891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3524033Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3524382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3524602Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3524886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3525045Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3525050Z 2025-09-07T07:40:18.3525183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3525474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3525548Z return mod(*inputs) 2025-09-07T07:40:18.3525829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3525913Z x = self.forward_features(x) 2025-09-07T07:40:18.3526230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3526381Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3526663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3526884Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3527163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3527275Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3527280Z 2025-09-07T07:40:18.3527413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3527694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3527773Z return mod(*inputs) 2025-09-07T07:40:18.3528054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3528146Z x = self.forward_features(x) 2025-09-07T07:40:18.3528465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3528609Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3528889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3529108Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3529388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3529500Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3529504Z 2025-09-07T07:40:18.3529639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3529922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3530001Z return mod(*inputs) 2025-09-07T07:40:18.3530284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3530370Z x = self.forward_features(x) 2025-09-07T07:40:18.3530816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3530973Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3531255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3531476Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3531753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3531869Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3531873Z 2025-09-07T07:40:18.3532389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3532773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3532848Z return mod(*inputs) 2025-09-07T07:40:18.3533130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3533220Z x = self.forward_features(x) 2025-09-07T07:40:18.3533543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3533686Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3533966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3534186Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3534465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3534540Z x = self.proj(x) 2025-09-07T07:40:18.3534545Z 2025-09-07T07:40:18.3534680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3534965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3535043Z return mod(*inputs) 2025-09-07T07:40:18.3535326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3535410Z x = self.forward_features(x) 2025-09-07T07:40:18.3535732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3535873Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3536154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3536372Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3536380Z 2025-09-07T07:40:18.3536514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3536802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3536876Z return mod(*inputs) 2025-09-07T07:40:18.3537160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3537246Z x = self.forward_features(x) 2025-09-07T07:40:18.3537564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3537710Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3537990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3538219Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3538496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3538570Z x = self.fc1(x) 2025-09-07T07:40:18.3538578Z 2025-09-07T07:40:18.3538711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3539086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3539178Z return mod(*inputs) 2025-09-07T07:40:18.3539467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3539555Z x = self.forward_features(x) 2025-09-07T07:40:18.3539877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3540019Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3540301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3540530Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3540933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3541003Z x = self.act(x) 2025-09-07T07:40:18.3541007Z 2025-09-07T07:40:18.3541144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3541431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3541505Z return mod(*inputs) 2025-09-07T07:40:18.3541788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3541873Z x = self.forward_features(x) 2025-09-07T07:40:18.3542193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3542338Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3542617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3542852Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3543134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3543208Z x = self.fc2(x) 2025-09-07T07:40:18.3543212Z 2025-09-07T07:40:18.3543346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3543629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3543709Z return mod(*inputs) 2025-09-07T07:40:18.3543990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3544079Z x = self.forward_features(x) 2025-09-07T07:40:18.3544396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3544538Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3544827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3545043Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3545323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3545393Z x = self.fc1(x) 2025-09-07T07:40:18.3545397Z 2025-09-07T07:40:18.3545535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3545816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3545891Z return mod(*inputs) 2025-09-07T07:40:18.3546172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3546258Z x = self.forward_features(x) 2025-09-07T07:40:18.3546579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3546725Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3547088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3547311Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3547590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3547664Z x = self.act(x) 2025-09-07T07:40:18.3547669Z 2025-09-07T07:40:18.3547802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3548089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3548166Z return mod(*inputs) 2025-09-07T07:40:18.3548447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3548601Z x = self.forward_features(x) 2025-09-07T07:40:18.3548919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3549064Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3549348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3549559Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3549840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3549912Z x = self.fc2(x) 2025-09-07T07:40:18.3549916Z 2025-09-07T07:40:18.3550051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3550334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3550407Z return mod(*inputs) 2025-09-07T07:40:18.3550696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3550780Z x = self.forward_features(x) 2025-09-07T07:40:18.3551104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3551247Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3551524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3551788Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3551793Z 2025-09-07T07:40:18.3551890Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3552027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3552310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3552392Z return mod(*inputs) 2025-09-07T07:40:18.3552672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3552756Z x = self.forward_features(x) 2025-09-07T07:40:18.3553081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3553225Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3553506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3553763Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3553767Z 2025-09-07T07:40:18.3553901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3554190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3554264Z return mod(*inputs) 2025-09-07T07:40:18.3554559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3554645Z x = self.forward_features(x) 2025-09-07T07:40:18.3555060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3555213Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3555491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3555576Z patch_embed = torch.cat( 2025-09-07T07:40:18.3555581Z 2025-09-07T07:40:18.3555714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3555999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3556075Z return mod(*inputs) 2025-09-07T07:40:18.3556353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3556513Z x = self.forward_features(x) 2025-09-07T07:40:18.3556834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3556985Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3557265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3557491Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3557773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3557974Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3557978Z 2025-09-07T07:40:18.3558115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3558397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3558479Z return mod(*inputs) 2025-09-07T07:40:18.3558759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3558844Z x = self.forward_features(x) 2025-09-07T07:40:18.3559172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3559315Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3559597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3559825Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3560105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3560213Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3560218Z 2025-09-07T07:40:18.3560351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3560643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3560718Z return mod(*inputs) 2025-09-07T07:40:18.3561002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3561091Z x = self.forward_features(x) 2025-09-07T07:40:18.3561411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3561556Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3561836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3562068Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3562350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3562460Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3562464Z 2025-09-07T07:40:18.3562601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3562994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3563080Z return mod(*inputs) 2025-09-07T07:40:18.3563438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3563525Z x = self.forward_features(x) 2025-09-07T07:40:18.3563851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3563994Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3564276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3564503Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3564899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3565009Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3565013Z 2025-09-07T07:40:18.3565150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3565436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3565510Z return mod(*inputs) 2025-09-07T07:40:18.3565792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3565876Z x = self.forward_features(x) 2025-09-07T07:40:18.3566195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3566344Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3566623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3566858Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3567139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3567298Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3567306Z 2025-09-07T07:40:18.3567440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3567724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3567802Z return mod(*inputs) 2025-09-07T07:40:18.3568082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3568168Z x = self.forward_features(x) 2025-09-07T07:40:18.3568485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3568631Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3568914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3569143Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3569421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3569532Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3569537Z 2025-09-07T07:40:18.3569668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3569955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3570029Z return mod(*inputs) 2025-09-07T07:40:18.3570311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3570400Z x = self.forward_features(x) 2025-09-07T07:40:18.3570719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3570863Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3571269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3571516Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3571795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3571909Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3571913Z 2025-09-07T07:40:18.3572047Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3572330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3572408Z return mod(*inputs) 2025-09-07T07:40:18.3572764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3572850Z x = self.forward_features(x) 2025-09-07T07:40:18.3573173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3573314Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3573595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3573821Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3574099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3574209Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3574213Z 2025-09-07T07:40:18.3574351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3574639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3574714Z return mod(*inputs) 2025-09-07T07:40:18.3574999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3575086Z x = self.forward_features(x) 2025-09-07T07:40:18.3575410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3575550Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3575828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3576060Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3576338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3576412Z x = self.proj(x) 2025-09-07T07:40:18.3576420Z 2025-09-07T07:40:18.3576552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3576837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3576912Z return mod(*inputs) 2025-09-07T07:40:18.3577194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3577283Z x = self.forward_features(x) 2025-09-07T07:40:18.3577602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3577747Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3578028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3578248Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3578530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3578734Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3578738Z 2025-09-07T07:40:18.3578875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3579251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3579334Z return mod(*inputs) 2025-09-07T07:40:18.3579620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3579705Z x = self.forward_features(x) 2025-09-07T07:40:18.3580030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3580172Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3580454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3580744Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3581024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3581135Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3581139Z 2025-09-07T07:40:18.3581274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3581562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3581638Z return mod(*inputs) 2025-09-07T07:40:18.3581916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3582003Z x = self.forward_features(x) 2025-09-07T07:40:18.3582323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3582467Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3582752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3582969Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3583254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3583360Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3583364Z 2025-09-07T07:40:18.3583503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3583784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3583864Z return mod(*inputs) 2025-09-07T07:40:18.3584144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3584228Z x = self.forward_features(x) 2025-09-07T07:40:18.3584551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3584696Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3584982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3585202Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3585479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3585588Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3585592Z 2025-09-07T07:40:18.3585725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3586012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3586086Z return mod(*inputs) 2025-09-07T07:40:18.3586369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3586457Z x = self.forward_features(x) 2025-09-07T07:40:18.3586774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3587004Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3587289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3587511Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3587787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3587945Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3587949Z 2025-09-07T07:40:18.3588084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3588369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3588507Z return mod(*inputs) 2025-09-07T07:40:18.3588786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3588869Z x = self.forward_features(x) 2025-09-07T07:40:18.3589196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3589338Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3589620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3589840Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3590120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3590231Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3590236Z 2025-09-07T07:40:18.3590369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3590659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3590735Z return mod(*inputs) 2025-09-07T07:40:18.3591020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3591105Z x = self.forward_features(x) 2025-09-07T07:40:18.3591426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3591572Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3591852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3592074Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3592353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3592471Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3592475Z 2025-09-07T07:40:18.3592608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3592895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3592974Z return mod(*inputs) 2025-09-07T07:40:18.3593254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3593342Z x = self.forward_features(x) 2025-09-07T07:40:18.3593662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3593802Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3594087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3594305Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3594594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3594704Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3594708Z 2025-09-07T07:40:18.3594955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3595256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3595330Z return mod(*inputs) 2025-09-07T07:40:18.3595615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3595700Z x = self.forward_features(x) 2025-09-07T07:40:18.3596020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3596164Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3596441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3596729Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3597010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3597085Z x = self.proj(x) 2025-09-07T07:40:18.3597089Z 2025-09-07T07:40:18.3597222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3597505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3597581Z return mod(*inputs) 2025-09-07T07:40:18.3597860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3597947Z x = self.forward_features(x) 2025-09-07T07:40:18.3598267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3598412Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3598693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3598926Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3599207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3599277Z x = self.fc1(x) 2025-09-07T07:40:18.3599281Z 2025-09-07T07:40:18.3599418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3599702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3599775Z return mod(*inputs) 2025-09-07T07:40:18.3600059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3600141Z x = self.forward_features(x) 2025-09-07T07:40:18.3600462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3600607Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3600891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3601125Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3601403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3601474Z x = self.act(x) 2025-09-07T07:40:18.3601478Z 2025-09-07T07:40:18.3601612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3601898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3601972Z return mod(*inputs) 2025-09-07T07:40:18.3602253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3602342Z x = self.forward_features(x) 2025-09-07T07:40:18.3602665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3602868Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3603155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3603384Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3603665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3603736Z x = self.fc2(x) 2025-09-07T07:40:18.3603740Z 2025-09-07T07:40:18.3603878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3604160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3604234Z return mod(*inputs) 2025-09-07T07:40:18.3604570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3604656Z x = self.forward_features(x) 2025-09-07T07:40:18.3604981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3605122Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3605400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3605615Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3605892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3605967Z x = self.fc1(x) 2025-09-07T07:40:18.3605972Z 2025-09-07T07:40:18.3606105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3606393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3606471Z return mod(*inputs) 2025-09-07T07:40:18.3606750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3606841Z x = self.forward_features(x) 2025-09-07T07:40:18.3607162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3607306Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3607585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3607800Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3608080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3608150Z x = self.act(x) 2025-09-07T07:40:18.3608154Z 2025-09-07T07:40:18.3608295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3608577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3608655Z return mod(*inputs) 2025-09-07T07:40:18.3608939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3609025Z x = self.forward_features(x) 2025-09-07T07:40:18.3609349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3609491Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3609772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3609984Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3610261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3610338Z x = self.fc2(x) 2025-09-07T07:40:18.3610342Z 2025-09-07T07:40:18.3610474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3610858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3610957Z return mod(*inputs) 2025-09-07T07:40:18.3611239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3611326Z x = self.forward_features(x) 2025-09-07T07:40:18.3611646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3611790Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3612070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3612334Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3612408Z 2025-09-07T07:40:18.3612511Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3612646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3612938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3613014Z return mod(*inputs) 2025-09-07T07:40:18.3613296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3613380Z x = self.forward_features(x) 2025-09-07T07:40:18.3613700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3613843Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3614124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3614401Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3614409Z 2025-09-07T07:40:18.3614545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3614830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3614909Z return mod(*inputs) 2025-09-07T07:40:18.3615189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3615275Z x = self.forward_features(x) 2025-09-07T07:40:18.3615593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3615734Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3616016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3616099Z patch_embed = torch.cat( 2025-09-07T07:40:18.3616103Z 2025-09-07T07:40:18.3616245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3616526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3616604Z return mod(*inputs) 2025-09-07T07:40:18.3616887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3616972Z x = self.forward_features(x) 2025-09-07T07:40:18.3617295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3617436Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3617719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3617947Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3618223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3618426Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3618431Z 2025-09-07T07:40:18.3618564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3618942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3619026Z return mod(*inputs) 2025-09-07T07:40:18.3619311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3619395Z x = self.forward_features(x) 2025-09-07T07:40:18.3619718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3619861Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3620141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3620448Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3620726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3620836Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3620843Z 2025-09-07T07:40:18.3620977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3621260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3621336Z return mod(*inputs) 2025-09-07T07:40:18.3621614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3621701Z x = self.forward_features(x) 2025-09-07T07:40:18.3622022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3622162Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3622451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3622676Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3622957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3623061Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3623066Z 2025-09-07T07:40:18.3623198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3623485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3623560Z return mod(*inputs) 2025-09-07T07:40:18.3623841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3623925Z x = self.forward_features(x) 2025-09-07T07:40:18.3624245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3624394Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3624672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3624903Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3625184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3625290Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3625295Z 2025-09-07T07:40:18.3625427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3625709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3625786Z return mod(*inputs) 2025-09-07T07:40:18.3626066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3626157Z x = self.forward_features(x) 2025-09-07T07:40:18.3626480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3626709Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3626999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3627224Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3627505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3627666Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3627670Z 2025-09-07T07:40:18.3627805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3628090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3628232Z return mod(*inputs) 2025-09-07T07:40:18.3628518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3628603Z x = self.forward_features(x) 2025-09-07T07:40:18.3628929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3629070Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3629349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3629588Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3629867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3629982Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3629987Z 2025-09-07T07:40:18.3630120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3630411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3630485Z return mod(*inputs) 2025-09-07T07:40:18.3630767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3630854Z x = self.forward_features(x) 2025-09-07T07:40:18.3631172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3631316Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3631594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3631819Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3632100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3632216Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3632220Z 2025-09-07T07:40:18.3632355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3632643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3632720Z return mod(*inputs) 2025-09-07T07:40:18.3633001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3633085Z x = self.forward_features(x) 2025-09-07T07:40:18.3633407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3633548Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3633830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3634057Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3634340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3634455Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3634459Z 2025-09-07T07:40:18.3634674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3634971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3635047Z return mod(*inputs) 2025-09-07T07:40:18.3635326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3635413Z x = self.forward_features(x) 2025-09-07T07:40:18.3635734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3635879Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3636161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3636463Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3636747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3636820Z x = self.proj(x) 2025-09-07T07:40:18.3636824Z 2025-09-07T07:40:18.3636959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3637242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3637320Z return mod(*inputs) 2025-09-07T07:40:18.3637601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3637685Z x = self.forward_features(x) 2025-09-07T07:40:18.3638009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3638152Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3638438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3638661Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3638940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3639141Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3639145Z 2025-09-07T07:40:18.3639278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3639564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3639639Z return mod(*inputs) 2025-09-07T07:40:18.3639922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3640007Z x = self.forward_features(x) 2025-09-07T07:40:18.3640332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3640477Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3640761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3640983Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3641261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3641366Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3641370Z 2025-09-07T07:40:18.3641506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3641790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3641867Z return mod(*inputs) 2025-09-07T07:40:18.3642150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3642235Z x = self.forward_features(x) 2025-09-07T07:40:18.3642652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3642797Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3643079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3643297Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3643577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3643682Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3643686Z 2025-09-07T07:40:18.3643819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3644105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3644254Z return mod(*inputs) 2025-09-07T07:40:18.3644534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3644623Z x = self.forward_features(x) 2025-09-07T07:40:18.3644943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3645087Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3645365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3645588Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3645868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3645976Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3645984Z 2025-09-07T07:40:18.3646118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3646401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3646479Z return mod(*inputs) 2025-09-07T07:40:18.3646761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3646850Z x = self.forward_features(x) 2025-09-07T07:40:18.3647168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3647309Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3647591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3647810Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3648090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3648253Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3648257Z 2025-09-07T07:40:18.3648394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3648682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3648756Z return mod(*inputs) 2025-09-07T07:40:18.3649039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3649124Z x = self.forward_features(x) 2025-09-07T07:40:18.3649446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3649587Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3649867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3650095Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3650373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3650575Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3650580Z 2025-09-07T07:40:18.3650718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3651002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3651081Z return mod(*inputs) 2025-09-07T07:40:18.3651359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3651447Z x = self.forward_features(x) 2025-09-07T07:40:18.3651765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3651907Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3652284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3652503Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3652788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3652902Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3652906Z 2025-09-07T07:40:18.3653041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3653325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3653400Z return mod(*inputs) 2025-09-07T07:40:18.3653683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3653766Z x = self.forward_features(x) 2025-09-07T07:40:18.3654087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3654234Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3654517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3654738Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3655015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3655128Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3655132Z 2025-09-07T07:40:18.3655265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3655551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3655626Z return mod(*inputs) 2025-09-07T07:40:18.3655904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3655994Z x = self.forward_features(x) 2025-09-07T07:40:18.3656316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3656466Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3656745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3656965Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3657245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3657316Z x = self.proj(x) 2025-09-07T07:40:18.3657321Z 2025-09-07T07:40:18.3657455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3657739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3657813Z return mod(*inputs) 2025-09-07T07:40:18.3658101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3658185Z x = self.forward_features(x) 2025-09-07T07:40:18.3658593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3658749Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3659032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3659251Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3659255Z 2025-09-07T07:40:18.3659387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3659674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3659749Z return mod(*inputs) 2025-09-07T07:40:18.3660031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3660188Z x = self.forward_features(x) 2025-09-07T07:40:18.3660511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3660656Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3660936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3661167Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3661446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3661518Z x = self.fc1(x) 2025-09-07T07:40:18.3661522Z 2025-09-07T07:40:18.3661656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3661937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3662019Z return mod(*inputs) 2025-09-07T07:40:18.3662297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3662385Z x = self.forward_features(x) 2025-09-07T07:40:18.3662707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3662849Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3663132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3663438Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3663720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3663791Z x = self.act(x) 2025-09-07T07:40:18.3663795Z 2025-09-07T07:40:18.3663927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3664219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3664292Z return mod(*inputs) 2025-09-07T07:40:18.3664576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3664662Z x = self.forward_features(x) 2025-09-07T07:40:18.3664982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3665124Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3665401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3665632Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3665908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3665985Z x = self.fc2(x) 2025-09-07T07:40:18.3665990Z 2025-09-07T07:40:18.3666124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3666408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3666685Z return mod(*inputs) 2025-09-07T07:40:18.3666974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3667062Z x = self.forward_features(x) 2025-09-07T07:40:18.3667382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3667523Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3667805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3668016Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3668395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3668465Z x = self.fc1(x) 2025-09-07T07:40:18.3668470Z 2025-09-07T07:40:18.3668605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3668892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3668968Z return mod(*inputs) 2025-09-07T07:40:18.3669252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3669336Z x = self.forward_features(x) 2025-09-07T07:40:18.3669657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3669798Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3670077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3670298Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3670576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3670648Z x = self.act(x) 2025-09-07T07:40:18.3670656Z 2025-09-07T07:40:18.3670789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3671073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3671151Z return mod(*inputs) 2025-09-07T07:40:18.3671433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3671521Z x = self.forward_features(x) 2025-09-07T07:40:18.3671839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3671980Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3672262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3672473Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3672757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3672829Z x = self.fc2(x) 2025-09-07T07:40:18.3672833Z 2025-09-07T07:40:18.3672967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3673249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3673323Z return mod(*inputs) 2025-09-07T07:40:18.3673604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3673688Z x = self.forward_features(x) 2025-09-07T07:40:18.3674011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3674157Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3674434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3674788Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3674794Z 2025-09-07T07:40:18.3674902Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3675040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3675323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3675400Z return mod(*inputs) 2025-09-07T07:40:18.3675679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3675765Z x = self.forward_features(x) 2025-09-07T07:40:18.3676088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3676296Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3676577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3676836Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3676841Z 2025-09-07T07:40:18.3676976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3677263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3677338Z return mod(*inputs) 2025-09-07T07:40:18.3677622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3677707Z x = self.forward_features(x) 2025-09-07T07:40:18.3678028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3678178Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3678457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3678544Z patch_embed = torch.cat( 2025-09-07T07:40:18.3678552Z 2025-09-07T07:40:18.3678685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3678969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3679044Z return mod(*inputs) 2025-09-07T07:40:18.3679322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3679410Z x = self.forward_features(x) 2025-09-07T07:40:18.3679729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3679872Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3680155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3680383Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3680666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3680865Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3680869Z 2025-09-07T07:40:18.3681005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3681288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3681365Z return mod(*inputs) 2025-09-07T07:40:18.3681648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3681732Z x = self.forward_features(x) 2025-09-07T07:40:18.3682054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3682198Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3682586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3682822Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3683099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3683208Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3683212Z 2025-09-07T07:40:18.3683346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3683631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3683704Z return mod(*inputs) 2025-09-07T07:40:18.3683981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3684138Z x = self.forward_features(x) 2025-09-07T07:40:18.3684455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3684605Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3684886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3685114Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3685391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3685495Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3685500Z 2025-09-07T07:40:18.3685637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3685921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3686002Z return mod(*inputs) 2025-09-07T07:40:18.3686283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3686367Z x = self.forward_features(x) 2025-09-07T07:40:18.3686694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3686835Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3687118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3687343Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3687622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3687727Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3687731Z 2025-09-07T07:40:18.3687865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3688155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3688229Z return mod(*inputs) 2025-09-07T07:40:18.3688514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3688599Z x = self.forward_features(x) 2025-09-07T07:40:18.3688919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3689063Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3689341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3689567Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3689843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3690007Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3690014Z 2025-09-07T07:40:18.3690147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3690521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3690615Z return mod(*inputs) 2025-09-07T07:40:18.3690896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3690982Z x = self.forward_features(x) 2025-09-07T07:40:18.3691301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3691440Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3691722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3691947Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3692297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3692409Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3692413Z 2025-09-07T07:40:18.3692550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3692839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3692912Z return mod(*inputs) 2025-09-07T07:40:18.3693195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3693279Z x = self.forward_features(x) 2025-09-07T07:40:18.3693601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3693742Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3694021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3694256Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3694535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3694649Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3694654Z 2025-09-07T07:40:18.3694787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3695069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3695145Z return mod(*inputs) 2025-09-07T07:40:18.3695424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3695510Z x = self.forward_features(x) 2025-09-07T07:40:18.3695828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3695971Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3696253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3696482Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3696762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3696873Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3696877Z 2025-09-07T07:40:18.3697013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3697296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3697369Z return mod(*inputs) 2025-09-07T07:40:18.3697653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3697738Z x = self.forward_features(x) 2025-09-07T07:40:18.3698063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3698203Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3698568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3698802Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3699078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3699153Z x = self.proj(x) 2025-09-07T07:40:18.3699157Z 2025-09-07T07:40:18.3699290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3699576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3699651Z return mod(*inputs) 2025-09-07T07:40:18.3699930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3700094Z x = self.forward_features(x) 2025-09-07T07:40:18.3700414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3700561Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3700838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3701057Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3701338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3701536Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3701540Z 2025-09-07T07:40:18.3701675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3701962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3702036Z return mod(*inputs) 2025-09-07T07:40:18.3702319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3702407Z x = self.forward_features(x) 2025-09-07T07:40:18.3702729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3702871Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3703153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3703372Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3703648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3703757Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3703765Z 2025-09-07T07:40:18.3703899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3704194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3704275Z return mod(*inputs) 2025-09-07T07:40:18.3704554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3704642Z x = self.forward_features(x) 2025-09-07T07:40:18.3704960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3705104Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3705383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3705605Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3705881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3705988Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3705992Z 2025-09-07T07:40:18.3706129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3706505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3706590Z return mod(*inputs) 2025-09-07T07:40:18.3706870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3706954Z x = self.forward_features(x) 2025-09-07T07:40:18.3707276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3707420Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3707701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3707994Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3708273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3708384Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3708389Z 2025-09-07T07:40:18.3708523Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3708810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3708884Z return mod(*inputs) 2025-09-07T07:40:18.3709165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3709250Z x = self.forward_features(x) 2025-09-07T07:40:18.3709570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3709713Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3709996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3710218Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3710499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3710658Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3710662Z 2025-09-07T07:40:18.3710799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3711083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3711161Z return mod(*inputs) 2025-09-07T07:40:18.3711440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3711527Z x = self.forward_features(x) 2025-09-07T07:40:18.3711847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3711993Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3712280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3712500Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3712778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3712890Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3712895Z 2025-09-07T07:40:18.3713027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3713314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3713388Z return mod(*inputs) 2025-09-07T07:40:18.3713669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3713758Z x = self.forward_features(x) 2025-09-07T07:40:18.3714078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3714327Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3714617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3714839Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3715117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3715231Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3715236Z 2025-09-07T07:40:18.3715369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3715653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3715794Z return mod(*inputs) 2025-09-07T07:40:18.3716075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3716164Z x = self.forward_features(x) 2025-09-07T07:40:18.3716489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3716630Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3716913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3717131Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3725751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3725940Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3725946Z 2025-09-07T07:40:18.3726084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3726385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3726462Z return mod(*inputs) 2025-09-07T07:40:18.3726754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3726841Z x = self.forward_features(x) 2025-09-07T07:40:18.3727160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3727306Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3727587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3727807Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3728089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3728166Z x = self.proj(x) 2025-09-07T07:40:18.3728170Z 2025-09-07T07:40:18.3728307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3728590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3728671Z return mod(*inputs) 2025-09-07T07:40:18.3728956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3729041Z x = self.forward_features(x) 2025-09-07T07:40:18.3729362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3729503Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3729781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3730013Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3730296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3730370Z x = self.fc1(x) 2025-09-07T07:40:18.3730374Z 2025-09-07T07:40:18.3730507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3730957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3731041Z return mod(*inputs) 2025-09-07T07:40:18.3731321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3731409Z x = self.forward_features(x) 2025-09-07T07:40:18.3731727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3731871Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3732148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3732492Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3732773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3732847Z x = self.act(x) 2025-09-07T07:40:18.3732852Z 2025-09-07T07:40:18.3732989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3733275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3733350Z return mod(*inputs) 2025-09-07T07:40:18.3733632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3733716Z x = self.forward_features(x) 2025-09-07T07:40:18.3734038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3734178Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3734467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3734693Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3734975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3735049Z x = self.fc2(x) 2025-09-07T07:40:18.3735053Z 2025-09-07T07:40:18.3735188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3735472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3735549Z return mod(*inputs) 2025-09-07T07:40:18.3735829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3735916Z x = self.forward_features(x) 2025-09-07T07:40:18.3736236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3736387Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3736666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3736881Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3737164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3737235Z x = self.fc1(x) 2025-09-07T07:40:18.3737239Z 2025-09-07T07:40:18.3737377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3737662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3737741Z return mod(*inputs) 2025-09-07T07:40:18.3738018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3738100Z x = self.forward_features(x) 2025-09-07T07:40:18.3738427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3738569Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3738937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3739163Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3739442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3739513Z x = self.act(x) 2025-09-07T07:40:18.3739518Z 2025-09-07T07:40:18.3739651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3739936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3740011Z return mod(*inputs) 2025-09-07T07:40:18.3740290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3740443Z x = self.forward_features(x) 2025-09-07T07:40:18.3740763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3740911Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3741189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3741406Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3741682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3741750Z x = self.fc2(x) 2025-09-07T07:40:18.3741755Z 2025-09-07T07:40:18.3741896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3742180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3742262Z return mod(*inputs) 2025-09-07T07:40:18.3742542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3742626Z x = self.forward_features(x) 2025-09-07T07:40:18.3742952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3743093Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3743375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3743638Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3743643Z 2025-09-07T07:40:18.3743741Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3743881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3744164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3744245Z return mod(*inputs) 2025-09-07T07:40:18.3744525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3744609Z x = self.forward_features(x) 2025-09-07T07:40:18.3744934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3745075Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3745357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3745615Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3745620Z 2025-09-07T07:40:18.3745756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3746040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3746118Z return mod(*inputs) 2025-09-07T07:40:18.3746400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3746485Z x = self.forward_features(x) 2025-09-07T07:40:18.3746902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3747062Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3747341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3747426Z patch_embed = torch.cat( 2025-09-07T07:40:18.3747430Z 2025-09-07T07:40:18.3747562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3747848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3747921Z return mod(*inputs) 2025-09-07T07:40:18.3748199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3748367Z x = self.forward_features(x) 2025-09-07T07:40:18.3748687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3748835Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3749112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3749342Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3749619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3749817Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3749821Z 2025-09-07T07:40:18.3749956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3750238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3750320Z return mod(*inputs) 2025-09-07T07:40:18.3750598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3750686Z x = self.forward_features(x) 2025-09-07T07:40:18.3751010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3751152Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3751432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3751659Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3751939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3752044Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3752053Z 2025-09-07T07:40:18.3752186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3752472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3752546Z return mod(*inputs) 2025-09-07T07:40:18.3752832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3752917Z x = self.forward_features(x) 2025-09-07T07:40:18.3753237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3753378Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3753659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3753888Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3754165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3754276Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3754281Z 2025-09-07T07:40:18.3754413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3754789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3754887Z return mod(*inputs) 2025-09-07T07:40:18.3755169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3755256Z x = self.forward_features(x) 2025-09-07T07:40:18.3755574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3755714Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3755996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3756222Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3756567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3756676Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3756680Z 2025-09-07T07:40:18.3756816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3757100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3757174Z return mod(*inputs) 2025-09-07T07:40:18.3757456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3757540Z x = self.forward_features(x) 2025-09-07T07:40:18.3757861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3758002Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3758285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3758515Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3758795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3758957Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3758962Z 2025-09-07T07:40:18.3759094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3759377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3759454Z return mod(*inputs) 2025-09-07T07:40:18.3759733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3759821Z x = self.forward_features(x) 2025-09-07T07:40:18.3760141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3760287Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3760571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3760798Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3761078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3761188Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3761193Z 2025-09-07T07:40:18.3761327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3761611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3761684Z return mod(*inputs) 2025-09-07T07:40:18.3761966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3762054Z x = self.forward_features(x) 2025-09-07T07:40:18.3762377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3762599Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3762888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3763118Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3763515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3763631Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3763636Z 2025-09-07T07:40:18.3763769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3764055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3764284Z return mod(*inputs) 2025-09-07T07:40:18.3764563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3764650Z x = self.forward_features(x) 2025-09-07T07:40:18.3764975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3765121Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3765399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3765624Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3769957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3770080Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3770085Z 2025-09-07T07:40:18.3770224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3770523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3770597Z return mod(*inputs) 2025-09-07T07:40:18.3770887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3770972Z x = self.forward_features(x) 2025-09-07T07:40:18.3771299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3771441Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3771720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3771969Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3772249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3772323Z x = self.proj(x) 2025-09-07T07:40:18.3772328Z 2025-09-07T07:40:18.3772464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3772749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3772827Z return mod(*inputs) 2025-09-07T07:40:18.3773108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3773193Z x = self.forward_features(x) 2025-09-07T07:40:18.3773513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3773655Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3773937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3774159Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3774439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3774640Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3774645Z 2025-09-07T07:40:18.3774962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3775256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3775334Z return mod(*inputs) 2025-09-07T07:40:18.3775612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3775698Z x = self.forward_features(x) 2025-09-07T07:40:18.3776017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3776163Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3776440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3776706Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3776992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3777099Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3777104Z 2025-09-07T07:40:18.3777238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3777522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3777596Z return mod(*inputs) 2025-09-07T07:40:18.3777878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3778044Z x = self.forward_features(x) 2025-09-07T07:40:18.3778364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3778508Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3778785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3779009Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3779286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3779395Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3779400Z 2025-09-07T07:40:18.3779533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3779819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3779896Z return mod(*inputs) 2025-09-07T07:40:18.3780173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3780258Z x = self.forward_features(x) 2025-09-07T07:40:18.3780580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3780723Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3781004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3781222Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3781502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3781608Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3781612Z 2025-09-07T07:40:18.3781749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3782036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3782112Z return mod(*inputs) 2025-09-07T07:40:18.3782389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3782476Z x = self.forward_features(x) 2025-09-07T07:40:18.3782892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3783041Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3783324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3783543Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3783820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3783985Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3783990Z 2025-09-07T07:40:18.3784124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3784407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3784517Z return mod(*inputs) 2025-09-07T07:40:18.3784794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3784887Z x = self.forward_features(x) 2025-09-07T07:40:18.3785205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3785349Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3785626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3785845Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3786175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3786285Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3786292Z 2025-09-07T07:40:18.3786429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3786716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3786793Z return mod(*inputs) 2025-09-07T07:40:18.3787076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3787161Z x = self.forward_features(x) 2025-09-07T07:40:18.3787483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3787625Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3787906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3788129Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3788407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3788521Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3788525Z 2025-09-07T07:40:18.3788658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3788948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3789024Z return mod(*inputs) 2025-09-07T07:40:18.3789305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3789388Z x = self.forward_features(x) 2025-09-07T07:40:18.3789705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3789854Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3790132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3790356Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3790631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3790800Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3790808Z 2025-09-07T07:40:18.3790944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3791228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3791305Z return mod(*inputs) 2025-09-07T07:40:18.3791584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3791675Z x = self.forward_features(x) 2025-09-07T07:40:18.3791991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3792132Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3792448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3792666Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3792957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3793030Z x = self.proj(x) 2025-09-07T07:40:18.3793034Z 2025-09-07T07:40:18.3793171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3793456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3793533Z return mod(*inputs) 2025-09-07T07:40:18.3793814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3793938Z x = self.forward_features(x) 2025-09-07T07:40:18.3794260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3794404Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3794686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3794908Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3794912Z 2025-09-07T07:40:18.3795045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3795332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3795407Z return mod(*inputs) 2025-09-07T07:40:18.3795689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3795776Z x = self.forward_features(x) 2025-09-07T07:40:18.3796096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3796240Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3796519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3796754Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3797033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3797105Z x = self.fc1(x) 2025-09-07T07:40:18.3797109Z 2025-09-07T07:40:18.3797242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3797528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3797609Z return mod(*inputs) 2025-09-07T07:40:18.3797887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3797973Z x = self.forward_features(x) 2025-09-07T07:40:18.3798292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3798436Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3798796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3799032Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3799316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3799386Z x = self.act(x) 2025-09-07T07:40:18.3799391Z 2025-09-07T07:40:18.3799525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3799810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3799885Z return mod(*inputs) 2025-09-07T07:40:18.3800168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3800292Z x = self.forward_features(x) 2025-09-07T07:40:18.3800615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3800761Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3801046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3801278Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3801557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3801630Z x = self.fc2(x) 2025-09-07T07:40:18.3801712Z 2025-09-07T07:40:18.3801850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3802137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3802212Z return mod(*inputs) 2025-09-07T07:40:18.3802493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3802580Z x = self.forward_features(x) 2025-09-07T07:40:18.3802902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3803047Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3803330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3803543Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3803825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3803898Z x = self.fc1(x) 2025-09-07T07:40:18.3803902Z 2025-09-07T07:40:18.3804037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3804321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3804397Z return mod(*inputs) 2025-09-07T07:40:18.3804680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3804766Z x = self.forward_features(x) 2025-09-07T07:40:18.3805089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3805229Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3805509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3805726Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3806006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3806079Z x = self.act(x) 2025-09-07T07:40:18.3806083Z 2025-09-07T07:40:18.3806219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3806503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3806577Z return mod(*inputs) 2025-09-07T07:40:18.3806925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3807016Z x = self.forward_features(x) 2025-09-07T07:40:18.3807335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3807478Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3807756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3807970Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3808250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3808351Z x = self.fc2(x) 2025-09-07T07:40:18.3808355Z 2025-09-07T07:40:18.3808490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3808777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3808853Z return mod(*inputs) 2025-09-07T07:40:18.3809134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3809218Z x = self.forward_features(x) 2025-09-07T07:40:18.3809540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3809683Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3810005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3810268Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3810274Z 2025-09-07T07:40:18.3810373Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3810508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3810795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3810873Z return mod(*inputs) 2025-09-07T07:40:18.3811153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3811237Z x = self.forward_features(x) 2025-09-07T07:40:18.3811557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3811702Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3811984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3812241Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3812248Z 2025-09-07T07:40:18.3812385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3812669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3812744Z return mod(*inputs) 2025-09-07T07:40:18.3813027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3813111Z x = self.forward_features(x) 2025-09-07T07:40:18.3813431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3813572Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3813854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3813940Z patch_embed = torch.cat( 2025-09-07T07:40:18.3813944Z 2025-09-07T07:40:18.3814080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3814365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3814441Z return mod(*inputs) 2025-09-07T07:40:18.3814837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3814933Z x = self.forward_features(x) 2025-09-07T07:40:18.3815253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3815397Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3815676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3815907Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3816184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3816421Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3816425Z 2025-09-07T07:40:18.3816560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3816845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3816924Z return mod(*inputs) 2025-09-07T07:40:18.3817206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3817290Z x = self.forward_features(x) 2025-09-07T07:40:18.3817611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3817799Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3818083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3818311Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3818591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3818700Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3818704Z 2025-09-07T07:40:18.3818838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3819126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3819200Z return mod(*inputs) 2025-09-07T07:40:18.3819482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3819569Z x = self.forward_features(x) 2025-09-07T07:40:18.3819888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3820031Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3820312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3820540Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3820819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3820923Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3820930Z 2025-09-07T07:40:18.3821064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3821345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3821421Z return mod(*inputs) 2025-09-07T07:40:18.3821703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3821790Z x = self.forward_features(x) 2025-09-07T07:40:18.3822110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3822254Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3822536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3822825Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3823107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3823212Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3823216Z 2025-09-07T07:40:18.3823349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3823635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3823710Z return mod(*inputs) 2025-09-07T07:40:18.3823989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3824101Z x = self.forward_features(x) 2025-09-07T07:40:18.3824419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3824568Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3824848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3825077Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3825354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3825517Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3825555Z 2025-09-07T07:40:18.3825695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3825980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3826059Z return mod(*inputs) 2025-09-07T07:40:18.3826339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3826425Z x = self.forward_features(x) 2025-09-07T07:40:18.3826746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3826888Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3827170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3827396Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3827678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3827789Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3827794Z 2025-09-07T07:40:18.3827930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3828215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3828289Z return mod(*inputs) 2025-09-07T07:40:18.3828577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3828663Z x = self.forward_features(x) 2025-09-07T07:40:18.3828985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3829125Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3829404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3829638Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3829917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3830032Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3830036Z 2025-09-07T07:40:18.3830169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3830536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3830619Z return mod(*inputs) 2025-09-07T07:40:18.3830900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3830988Z x = self.forward_features(x) 2025-09-07T07:40:18.3831308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3831452Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3831733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3831959Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3832291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3832402Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3832406Z 2025-09-07T07:40:18.3832545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3832830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3832905Z return mod(*inputs) 2025-09-07T07:40:18.3833187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3833272Z x = self.forward_features(x) 2025-09-07T07:40:18.3833594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3833795Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3834078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3834307Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3834587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3834663Z x = self.proj(x) 2025-09-07T07:40:18.3834667Z 2025-09-07T07:40:18.3834801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3835086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3835161Z return mod(*inputs) 2025-09-07T07:40:18.3835440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3835530Z x = self.forward_features(x) 2025-09-07T07:40:18.3835847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3835995Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3836272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3836494Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3836775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3836973Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3836977Z 2025-09-07T07:40:18.3837115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3837398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3837476Z return mod(*inputs) 2025-09-07T07:40:18.3837753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3837837Z x = self.forward_features(x) 2025-09-07T07:40:18.3838165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3838307Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3838667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3838903Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3839180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3839290Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3839295Z 2025-09-07T07:40:18.3839432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3839718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3839793Z return mod(*inputs) 2025-09-07T07:40:18.3840116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3840200Z x = self.forward_features(x) 2025-09-07T07:40:18.3840524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3840668Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3840946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3841166Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3841443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3841595Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3841599Z 2025-09-07T07:40:18.3841735Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3842019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3842097Z return mod(*inputs) 2025-09-07T07:40:18.3842375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3842463Z x = self.forward_features(x) 2025-09-07T07:40:18.3842784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3842925Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3843204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3843424Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3843706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3843810Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3843816Z 2025-09-07T07:40:18.3843950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3844235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3844309Z return mod(*inputs) 2025-09-07T07:40:18.3844595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3844681Z x = self.forward_features(x) 2025-09-07T07:40:18.3844999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3845144Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3845423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3845649Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3845924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3846088Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3846093Z 2025-09-07T07:40:18.3846226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3846570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3846656Z return mod(*inputs) 2025-09-07T07:40:18.3846937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3847024Z x = self.forward_features(x) 2025-09-07T07:40:18.3847346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3847490Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3847771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3848018Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3848299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3848414Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3848419Z 2025-09-07T07:40:18.3848557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3848841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3848916Z return mod(*inputs) 2025-09-07T07:40:18.3849198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3849321Z x = self.forward_features(x) 2025-09-07T07:40:18.3849645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3849787Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3850069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3850291Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3850571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3850685Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3850689Z 2025-09-07T07:40:18.3850823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3851109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3851188Z return mod(*inputs) 2025-09-07T07:40:18.3851470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3851559Z x = self.forward_features(x) 2025-09-07T07:40:18.3851881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3852027Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3852310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3852530Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3852809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3852921Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3852926Z 2025-09-07T07:40:18.3853063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3853351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3853425Z return mod(*inputs) 2025-09-07T07:40:18.3853707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3853793Z x = self.forward_features(x) 2025-09-07T07:40:18.3854114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3854333Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3854620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3854843Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3855117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3855192Z x = self.proj(x) 2025-09-07T07:40:18.3855199Z 2025-09-07T07:40:18.3855334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3855621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3855733Z return mod(*inputs) 2025-09-07T07:40:18.3856015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3856101Z x = self.forward_features(x) 2025-09-07T07:40:18.3856424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3856569Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3856846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3857075Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3857355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3857469Z x = self.fc1(x) 2025-09-07T07:40:18.3857473Z 2025-09-07T07:40:18.3857610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3857897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3857971Z return mod(*inputs) 2025-09-07T07:40:18.3858252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3858340Z x = self.forward_features(x) 2025-09-07T07:40:18.3858661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3858805Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3859088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3859317Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3859597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3859670Z x = self.act(x) 2025-09-07T07:40:18.3859676Z 2025-09-07T07:40:18.3859811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3860097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3860173Z return mod(*inputs) 2025-09-07T07:40:18.3860456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3860544Z x = self.forward_features(x) 2025-09-07T07:40:18.3860863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3861006Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3861285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3861517Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3861796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3861868Z x = self.fc2(x) 2025-09-07T07:40:18.3861872Z 2025-09-07T07:40:18.3862008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3862357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3862442Z return mod(*inputs) 2025-09-07T07:40:18.3862721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3862805Z x = self.forward_features(x) 2025-09-07T07:40:18.3863127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3863350Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3863636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3863848Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3864216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3864288Z x = self.fc1(x) 2025-09-07T07:40:18.3864292Z 2025-09-07T07:40:18.3864428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3864717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3864790Z return mod(*inputs) 2025-09-07T07:40:18.3865067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3865154Z x = self.forward_features(x) 2025-09-07T07:40:18.3865474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3865706Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3865983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3866200Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3866481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3866550Z x = self.act(x) 2025-09-07T07:40:18.3866554Z 2025-09-07T07:40:18.3866690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3866973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3867050Z return mod(*inputs) 2025-09-07T07:40:18.3867333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3867419Z x = self.forward_features(x) 2025-09-07T07:40:18.3867739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3867883Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3868168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3868382Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3868666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3868737Z x = self.fc2(x) 2025-09-07T07:40:18.3868742Z 2025-09-07T07:40:18.3868874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3869162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3869236Z return mod(*inputs) 2025-09-07T07:40:18.3869520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3869604Z x = self.forward_features(x) 2025-09-07T07:40:18.3869925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3870073Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3870351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3870727Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3870733Z 2025-09-07T07:40:18.3870836Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3870971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3871258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3871335Z return mod(*inputs) 2025-09-07T07:40:18.3871618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3871703Z x = self.forward_features(x) 2025-09-07T07:40:18.3872024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3872216Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3872497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3872760Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3872765Z 2025-09-07T07:40:18.3872898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3873185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3873260Z return mod(*inputs) 2025-09-07T07:40:18.3873573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3873660Z x = self.forward_features(x) 2025-09-07T07:40:18.3873976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3874123Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3874399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3874485Z patch_embed = torch.cat( 2025-09-07T07:40:18.3874491Z 2025-09-07T07:40:18.3874627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3874909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3874986Z return mod(*inputs) 2025-09-07T07:40:18.3875265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3875354Z x = self.forward_features(x) 2025-09-07T07:40:18.3875673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3875816Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3876100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3876327Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3876611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3876812Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3876817Z 2025-09-07T07:40:18.3876951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3877235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3877312Z return mod(*inputs) 2025-09-07T07:40:18.3877593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3877677Z x = self.forward_features(x) 2025-09-07T07:40:18.3878001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3878145Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3878496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3878733Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3879013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3879122Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3879127Z 2025-09-07T07:40:18.3879260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3879546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3879623Z return mod(*inputs) 2025-09-07T07:40:18.3879901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3880020Z x = self.forward_features(x) 2025-09-07T07:40:18.3880342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3880485Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3880765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3880991Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3881269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3881424Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3881428Z 2025-09-07T07:40:18.3881565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3881849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3881925Z return mod(*inputs) 2025-09-07T07:40:18.3882209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3882297Z x = self.forward_features(x) 2025-09-07T07:40:18.3882619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3882759Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3883034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3883263Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3883541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3883648Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3883654Z 2025-09-07T07:40:18.3883788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3884072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3884147Z return mod(*inputs) 2025-09-07T07:40:18.3884427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3884514Z x = self.forward_features(x) 2025-09-07T07:40:18.3884833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3884976Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3885253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3885480Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3885759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3885921Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3885926Z 2025-09-07T07:40:18.3886062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3886423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3886505Z return mod(*inputs) 2025-09-07T07:40:18.3886790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3886875Z x = self.forward_features(x) 2025-09-07T07:40:18.3887197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3887342Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3887623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3887896Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3888172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3888289Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3888294Z 2025-09-07T07:40:18.3888429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3888720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3888795Z return mod(*inputs) 2025-09-07T07:40:18.3889073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3889202Z x = self.forward_features(x) 2025-09-07T07:40:18.3889523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3889668Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3889948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3890178Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3890456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3890567Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3890571Z 2025-09-07T07:40:18.3890710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3890995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3891073Z return mod(*inputs) 2025-09-07T07:40:18.3891354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3891438Z x = self.forward_features(x) 2025-09-07T07:40:18.3891760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3891903Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3892187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3892413Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3892688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3892801Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3892806Z 2025-09-07T07:40:18.3892938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3893226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3893300Z return mod(*inputs) 2025-09-07T07:40:18.3893581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3893667Z x = self.forward_features(x) 2025-09-07T07:40:18.3893984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3894205Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3894490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3894720Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3894997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3895069Z x = self.proj(x) 2025-09-07T07:40:18.3895076Z 2025-09-07T07:40:18.3895213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3895496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3895573Z return mod(*inputs) 2025-09-07T07:40:18.3895886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3895970Z x = self.forward_features(x) 2025-09-07T07:40:18.3896295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3896439Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3896720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3896939Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3897220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3897456Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3897460Z 2025-09-07T07:40:18.3897595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3897885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3897959Z return mod(*inputs) 2025-09-07T07:40:18.3898245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3898330Z x = self.forward_features(x) 2025-09-07T07:40:18.3898651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3898796Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3899074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3899299Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3899574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3899683Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3899687Z 2025-09-07T07:40:18.3899820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3900106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3900185Z return mod(*inputs) 2025-09-07T07:40:18.3900462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3900548Z x = self.forward_features(x) 2025-09-07T07:40:18.3900867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3901010Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3901293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3901513Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3901793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3901900Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3901904Z 2025-09-07T07:40:18.3902132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3902428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3902502Z return mod(*inputs) 2025-09-07T07:40:18.3902786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3902871Z x = self.forward_features(x) 2025-09-07T07:40:18.3903192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3903336Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3903612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3903870Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3904147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3904256Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3904260Z 2025-09-07T07:40:18.3904394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3904674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3904752Z return mod(*inputs) 2025-09-07T07:40:18.3905028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3905164Z x = self.forward_features(x) 2025-09-07T07:40:18.3905480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3905626Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3905902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3906125Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3906406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3906563Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3906567Z 2025-09-07T07:40:18.3906705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3906987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3907064Z return mod(*inputs) 2025-09-07T07:40:18.3907346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3907430Z x = self.forward_features(x) 2025-09-07T07:40:18.3907755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3907899Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3908181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3908401Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3908676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3908790Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3908794Z 2025-09-07T07:40:18.3908930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3909215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3909290Z return mod(*inputs) 2025-09-07T07:40:18.3909573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3909658Z x = self.forward_features(x) 2025-09-07T07:40:18.3910044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3910200Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3910478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3910697Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3910975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3911091Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3911095Z 2025-09-07T07:40:18.3911229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3911513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3911620Z return mod(*inputs) 2025-09-07T07:40:18.3911898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3911987Z x = self.forward_features(x) 2025-09-07T07:40:18.3912308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3912449Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3912730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3912949Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3913260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3913374Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3913381Z 2025-09-07T07:40:18.3913514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3913799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3913874Z return mod(*inputs) 2025-09-07T07:40:18.3914158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3914247Z x = self.forward_features(x) 2025-09-07T07:40:18.3914567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3914710Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3914990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3915214Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3915492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3915565Z x = self.proj(x) 2025-09-07T07:40:18.3915569Z 2025-09-07T07:40:18.3915705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3915992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3916070Z return mod(*inputs) 2025-09-07T07:40:18.3916351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3916436Z x = self.forward_features(x) 2025-09-07T07:40:18.3916760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3916905Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3917185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T07:40:18.3917403Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T07:40:18.3917409Z 2025-09-07T07:40:18.3917544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3917907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3917986Z return mod(*inputs) 2025-09-07T07:40:18.3918270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3918355Z x = self.forward_features(x) 2025-09-07T07:40:18.3918675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3918816Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3919097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3919327Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3919643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3919716Z x = self.fc1(x) 2025-09-07T07:40:18.3919720Z 2025-09-07T07:40:18.3919856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3920139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3920216Z return mod(*inputs) 2025-09-07T07:40:18.3920493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3920580Z x = self.forward_features(x) 2025-09-07T07:40:18.3920897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3921086Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3921364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3921595Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3921876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3921949Z x = self.act(x) 2025-09-07T07:40:18.3921955Z 2025-09-07T07:40:18.3922090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3922372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3922445Z return mod(*inputs) 2025-09-07T07:40:18.3922728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3922813Z x = self.forward_features(x) 2025-09-07T07:40:18.3923136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3923277Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3923557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 146, in forward 2025-09-07T07:40:18.3923787Z pixel_embed = pixel_embed + self.drop_path(self.mlp_in(self.norm_mlp_in(pixel_embed))) 2025-09-07T07:40:18.3924067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3924140Z x = self.fc2(x) 2025-09-07T07:40:18.3924145Z 2025-09-07T07:40:18.3924279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3924567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3924641Z return mod(*inputs) 2025-09-07T07:40:18.3924918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3925010Z x = self.forward_features(x) 2025-09-07T07:40:18.3925329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3925475Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3925753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3926053Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3926344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3926412Z x = self.fc1(x) 2025-09-07T07:40:18.3926416Z 2025-09-07T07:40:18.3926553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3926836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3926913Z return mod(*inputs) 2025-09-07T07:40:18.3927193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3927278Z x = self.forward_features(x) 2025-09-07T07:40:18.3927670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3927813Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3928097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3928310Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3928585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3928657Z x = self.act(x) 2025-09-07T07:40:18.3928662Z 2025-09-07T07:40:18.3928795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3929116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3929191Z return mod(*inputs) 2025-09-07T07:40:18.3929470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3929558Z x = self.forward_features(x) 2025-09-07T07:40:18.3929876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3930022Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3930300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3930511Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3930792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3930863Z x = self.fc2(x) 2025-09-07T07:40:18.3930868Z 2025-09-07T07:40:18.3931003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3931285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3931364Z return mod(*inputs) 2025-09-07T07:40:18.3931641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3931727Z x = self.forward_features(x) 2025-09-07T07:40:18.3932051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3932194Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3932473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3932735Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3932742Z 2025-09-07T07:40:18.3932837Z cudagraph partition due to non gpu ops 2025-09-07T07:40:18.3932974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3933257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3933336Z return mod(*inputs) 2025-09-07T07:40:18.3933615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3933700Z x = self.forward_features(x) 2025-09-07T07:40:18.3934106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3934254Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3934536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T07:40:18.3934796Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T07:40:18.3934802Z 2025-09-07T07:40:18.3934941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3935222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3935331Z return mod(*inputs) 2025-09-07T07:40:18.3935613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3935698Z x = self.forward_features(x) 2025-09-07T07:40:18.3936022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3936163Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3936443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T07:40:18.3936530Z patch_embed = torch.cat( 2025-09-07T07:40:18.3936534Z 2025-09-07T07:40:18.3936666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3936992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3937066Z return mod(*inputs) 2025-09-07T07:40:18.3937343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3937433Z x = self.forward_features(x) 2025-09-07T07:40:18.3937749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3937895Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3938175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3938403Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3938681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T07:40:18.3938881Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:40:18.3938885Z 2025-09-07T07:40:18.3939022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3939306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3939386Z return mod(*inputs) 2025-09-07T07:40:18.3939664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3939752Z x = self.forward_features(x) 2025-09-07T07:40:18.3940073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3940215Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3940496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3940723Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3941007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3941112Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3941119Z 2025-09-07T07:40:18.3941252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3941540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3941625Z return mod(*inputs) 2025-09-07T07:40:18.3941991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3942082Z x = self.forward_features(x) 2025-09-07T07:40:18.3942403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3942548Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3942826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3943058Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3943336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3943484Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3943489Z 2025-09-07T07:40:18.3943622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3943910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3943988Z return mod(*inputs) 2025-09-07T07:40:18.3944266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3944353Z x = self.forward_features(x) 2025-09-07T07:40:18.3944672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3944852Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3945131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3945362Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3945641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T07:40:18.3945748Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T07:40:18.3945752Z 2025-09-07T07:40:18.3945889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3946172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3946246Z return mod(*inputs) 2025-09-07T07:40:18.3946528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3946613Z x = self.forward_features(x) 2025-09-07T07:40:18.3946936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3947079Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3947361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3947591Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3947872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 68, in forward 2025-09-07T07:40:18.3948035Z v = self.v(x).reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) 2025-09-07T07:40:18.3948039Z 2025-09-07T07:40:18.3948173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3948455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3948533Z return mod(*inputs) 2025-09-07T07:40:18.3948813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3948900Z x = self.forward_features(x) 2025-09-07T07:40:18.3949221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3949370Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3949733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3949965Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3950247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3950358Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3950362Z 2025-09-07T07:40:18.3950499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3950786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3950861Z return mod(*inputs) 2025-09-07T07:40:18.3951145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3951273Z x = self.forward_features(x) 2025-09-07T07:40:18.3951594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3951739Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3952019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3952248Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3952525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3952640Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3952681Z 2025-09-07T07:40:18.3952817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3953105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3953183Z return mod(*inputs) 2025-09-07T07:40:18.3953464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3953551Z x = self.forward_features(x) 2025-09-07T07:40:18.3953873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3954018Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3954298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3954525Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3954808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T07:40:18.3954922Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T07:40:18.3954926Z 2025-09-07T07:40:18.3955064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3955350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3955427Z return mod(*inputs) 2025-09-07T07:40:18.3955709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3955794Z x = self.forward_features(x) 2025-09-07T07:40:18.3956118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3956261Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3956543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T07:40:18.3956772Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T07:40:18.3957050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 75, in forward 2025-09-07T07:40:18.3957126Z x = self.proj(x) 2025-09-07T07:40:18.3957130Z 2025-09-07T07:40:18.3957262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3957547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3957706Z return mod(*inputs) 2025-09-07T07:40:18.3957994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3958082Z x = self.forward_features(x) 2025-09-07T07:40:18.3958399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3958544Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3958826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3959045Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3959360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:40:18.3959429Z x = self.fc1(x) 2025-09-07T07:40:18.3959434Z 2025-09-07T07:40:18.3959571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3959857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3959935Z return mod(*inputs) 2025-09-07T07:40:18.3960213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3960296Z x = self.forward_features(x) 2025-09-07T07:40:18.3960617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3960809Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3961090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3961305Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3961582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:40:18.3961654Z x = self.act(x) 2025-09-07T07:40:18.3961662Z 2025-09-07T07:40:18.3961797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3962083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3962156Z return mod(*inputs) 2025-09-07T07:40:18.3962437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T07:40:18.3962522Z x = self.forward_features(x) 2025-09-07T07:40:18.3962844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T07:40:18.3962991Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T07:40:18.3963349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 153, in forward 2025-09-07T07:40:18.3963573Z patch_embed = patch_embed + self.drop_path(self.mlp(self.norm_mlp(patch_embed))) 2025-09-07T07:40:18.3963854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:40:18.3963925Z x = self.fc2(x) 2025-09-07T07:40:18.3963929Z 2025-09-07T07:40:18.3964064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3964349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3964425Z return mod(*inputs) 2025-09-07T07:40:18.3964701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 336, in forward 2025-09-07T07:40:18.3964784Z x = self.forward_head(x) 2025-09-07T07:40:18.3965087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 331, in forward_head 2025-09-07T07:40:18.3965167Z x = self.head_drop(x) 2025-09-07T07:40:18.3965171Z 2025-09-07T07:40:18.3965306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:18.3965731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:18.3965817Z return mod(*inputs) 2025-09-07T07:40:18.3966097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 336, in forward 2025-09-07T07:40:18.3966176Z x = self.forward_head(x) 2025-09-07T07:40:18.3966480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/tnt.py", line 332, in forward_head 2025-09-07T07:40:18.3966581Z return x if pre_logits else self.head(x) 2025-09-07T07:40:18.3966588Z 2025-09-07T07:40:32.1752926Z pass 2025-09-07T07:40:32.1754550Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:33.6511667Z accuracy pass_rate=100.00% 2025-09-07T07:40:33.6516361Z calls_captured gmean=416.86x mean=464.750x 2025-09-07T07:40:33.6520384Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T07:40:33.6524484Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:33.6528571Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:33.6532720Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:40:33.6536723Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:40:33.6540704Z cudagraph_skips gmean=1.00x mean=1.000x 2025-09-07T07:40:33.6542312Z compilation_latency mean=24.589 seconds 2025-09-07T07:40:34.2777724Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cppwrapper-true* ]] 2025-09-07T07:40:34.2778429Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T07:40:34.2780042Z + taskset -c 0-62 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --inference --bfloat16 --backend inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:40:35.1281969Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:40:35.1283135Z import pynvml # type: ignore[import] 2025-09-07T07:40:39.3093453Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:40:39.3094638Z import pynvml # type: ignore[import] 2025-09-07T07:40:42.6252758Z 2025-09-07T07:40:43.1907183Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:43.1907463Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:43.1997216Z cpu eval tf_efficientnet_b0 2025-09-07T07:40:43.9463375Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:44.4711471Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:44.9932645Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:15.2496171Z pass 2025-09-07T07:41:15.2496738Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:17.3238347Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:41:17.3239545Z import pynvml # type: ignore[import] 2025-09-07T07:41:20.6661099Z 2025-09-07T07:41:21.5624492Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:41:21.5624808Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:41:21.5745818Z cpu eval tf_mixnet_l 2025-09-07T07:41:22.7910460Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:23.9057721Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:25.0094457Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:19.8807681Z pass 2025-09-07T07:42:19.8809523Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:22.2543336Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:42:22.2544793Z import pynvml # type: ignore[import] 2025-09-07T07:42:25.5614022Z 2025-09-07T07:42:26.1175313Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:26.1175630Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:26.1275487Z cpu eval tinynet_a 2025-09-07T07:42:26.9400864Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:27.4046960Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:27.8606097Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:58.0095132Z pass 2025-09-07T07:42:58.0096786Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:00.1701013Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:43:00.1702223Z import pynvml # type: ignore[import] 2025-09-07T07:43:03.5089822Z 2025-09-07T07:43:04.9802891Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:04.9803183Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:43:04.9926321Z cpu eval tnt_s_patch16_224 2025-09-07T07:43:06.4026366Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:08.2928540Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:10.1847360Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:09.5800321Z pass 2025-09-07T07:44:09.5803588Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:11.5234696Z accuracy pass_rate=100.00% 2025-09-07T07:44:11.5240088Z calls_captured gmean=416.86x mean=464.750x 2025-09-07T07:44:11.5244156Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T07:44:11.5248236Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:44:11.5252359Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:44:11.5256446Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:44:11.5260473Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:44:11.5264894Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:44:11.5266305Z compilation_latency mean=42.370 seconds 2025-09-07T07:44:12.1475690Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing_cudagraphs-true* ]] 2025-09-07T07:44:12.1477385Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T07:44:12.1478504Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *aotinductor-true* ]] 2025-09-07T07:44:12.1479147Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:44:12.1479791Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:44:12.1481122Z + taskset -c 0-62 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --inference --bfloat16 --export --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:44:12.9975791Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:44:12.9976933Z import pynvml # type: ignore[import] 2025-09-07T07:44:17.1767469Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:44:17.1768622Z import pynvml # type: ignore[import] 2025-09-07T07:44:20.5177729Z 2025-09-07T07:44:21.0814110Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:21.0814389Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:21.0899772Z cpu eval tf_efficientnet_b0 2025-09-07T07:44:21.8343146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:22.3593182Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:22.8881342Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:27.7568187Z pass 2025-09-07T07:44:27.7568626Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:29.4483546Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:44:29.4484689Z import pynvml # type: ignore[import] 2025-09-07T07:44:32.7585967Z 2025-09-07T07:44:33.6383769Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:33.6384048Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:33.6504669Z cpu eval tf_mixnet_l 2025-09-07T07:44:34.8492452Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:35.9625929Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:37.0581783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:43.7121858Z pass 2025-09-07T07:44:43.7122316Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:45.4874535Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:44:45.4875704Z import pynvml # type: ignore[import] 2025-09-07T07:44:48.8345751Z 2025-09-07T07:44:49.4159570Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:49.4159849Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:49.4257628Z cpu eval tinynet_a 2025-09-07T07:44:50.2279402Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:50.6900324Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:51.1472807Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:56.3435605Z pass 2025-09-07T07:44:56.3436068Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:58.1081554Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:44:58.1082744Z import pynvml # type: ignore[import] 2025-09-07T07:45:01.4147271Z 2025-09-07T07:45:02.8574364Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:02.8574642Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:45:02.8692850Z cpu eval tnt_s_patch16_224 2025-09-07T07:45:04.2652256Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:06.1635659Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:07.9749080Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:14.9194529Z pass 2025-09-07T07:45:14.9194976Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:15.8598238Z accuracy pass_rate=100.00% 2025-09-07T07:45:15.8603763Z calls_captured gmean=522.86x mean=560.500x 2025-09-07T07:45:15.8607927Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T07:45:15.8612094Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:45:15.8616150Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:45:15.8620147Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:45:15.8624126Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:45:15.8628083Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:45:15.8629418Z compilation_latency mean=2.925 seconds 2025-09-07T07:45:16.4910397Z + taskset -c 0-62 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:45:17.3420435Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:45:17.3421599Z import pynvml # type: ignore[import] 2025-09-07T07:45:21.5303993Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:45:21.5305163Z import pynvml # type: ignore[import] 2025-09-07T07:45:24.8700837Z 2025-09-07T07:45:25.4297315Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:25.4297599Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:25.4385121Z cpu eval tf_efficientnet_b0 2025-09-07T07:45:26.1828904Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:26.7085451Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:27.2315745Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:49.4787713Z pass 2025-09-07T07:45:49.4789447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:51.8255043Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:45:51.8256216Z import pynvml # type: ignore[import] 2025-09-07T07:45:55.1491652Z 2025-09-07T07:45:56.0339023Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:56.0339317Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:56.0462879Z cpu eval tf_mixnet_l 2025-09-07T07:45:57.2316543Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:58.3267391Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:59.4150367Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:25.6478672Z pass 2025-09-07T07:46:25.6480340Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:27.9782814Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:27.9783999Z import pynvml # type: ignore[import] 2025-09-07T07:46:31.2864294Z 2025-09-07T07:46:31.8328428Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:31.8328925Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:31.8428121Z cpu eval tinynet_a 2025-09-07T07:46:32.6715660Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:33.1264929Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:33.5797619Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:51.6414379Z pass 2025-09-07T07:46:51.6416092Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:53.7582324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:53.7583503Z import pynvml # type: ignore[import] 2025-09-07T07:46:57.0092913Z 2025-09-07T07:46:58.4885812Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:58.4886117Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:46:58.5002893Z cpu eval tnt_s_patch16_224 2025-09-07T07:46:59.8992503Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:47:01.9204216Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:47:03.9185728Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:47:33.7256204Z pass 2025-09-07T07:47:33.7257746Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:47:35.6498598Z accuracy pass_rate=100.00% 2025-09-07T07:47:35.6504209Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6508363Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6512492Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6516503Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6520502Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6524562Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6528523Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:47:35.6529866Z compilation_latency mean=0.000 seconds 2025-09-07T07:47:36.2730837Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *maxautotune-true* ]] 2025-09-07T07:47:36.2731943Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cudagraphs_low_precision-true* ]] 2025-09-07T07:47:36.2732638Z + for target in "${targets[@]}" 2025-09-07T07:47:36.2732883Z + target_flag=('--performance') 2025-09-07T07:47:36.2733114Z + local target_flag 2025-09-07T07:47:36.2733343Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:47:36.2733645Z + target_flag+=(--cold-start-latency) 2025-09-07T07:47:36.2734267Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:47:36.2735235Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:47:36.2737118Z + taskset -c 0-62 python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --inference --bfloat16 --backend inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.csv 2025-09-07T07:47:37.1236253Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:47:37.1237728Z import pynvml # type: ignore[import] 2025-09-07T07:47:41.3079527Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-09-07T07:47:41.3080726Z import pynvml # type: ignore[import] 2025-09-07T07:47:44.6281980Z 2025-09-07T07:47:49.7674635Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:47:49.7674967Z loading model: 0it [00:05, ?it/s] 2025-09-07T07:47:49.7751919Z cpu eval tf_efficientnet_b0 2025-09-07T07:48:46.1122231Z 2025-09-07T07:48:53.2581511Z running benchmark: 0% 0/30 [00:00 2025-09-07T08:28:46.1353703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1353939Z 2025-09-07T08:28:46.1354036Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1354380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1354889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1355353Z return mod(*inputs) 2025-09-07T08:28:46.1355810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1356324Z x = self.forward_features(x) 2025-09-07T08:28:46.1356855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1357386Z x = self.blocks(x) 2025-09-07T08:28:46.1357866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1358394Z x = self.conv_pw(x) 2025-09-07T08:28:46.1358843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1359403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1359971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1360537Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1360773Z 2025-09-07T08:28:46.1360871Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1361490Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1361808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1373396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1374000Z return mod(*inputs) 2025-09-07T08:28:46.1374512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1375034Z x = self.forward_features(x) 2025-09-07T08:28:46.1375816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1376382Z x = self.blocks(x) 2025-09-07T08:28:46.1376876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1377406Z x = self.conv_pw(x) 2025-09-07T08:28:46.1377861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1378366Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1378517Z 2025-09-07T08:28:46.1378657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1379182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1379741Z return mod(*inputs) 2025-09-07T08:28:46.1380203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1380717Z x = self.forward_features(x) 2025-09-07T08:28:46.1381249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1381787Z x = self.blocks(x) 2025-09-07T08:28:46.1382271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1382794Z x = self.bn1(x) 2025-09-07T08:28:46.1383223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1383776Z x = self.act(x) 2025-09-07T08:28:46.1383897Z 2025-09-07T08:28:46.1384038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1384559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1385029Z return mod(*inputs) 2025-09-07T08:28:46.1385489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1386002Z x = self.forward_features(x) 2025-09-07T08:28:46.1386527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1387061Z x = self.blocks(x) 2025-09-07T08:28:46.1387548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1388072Z x = self.conv_dw(x) 2025-09-07T08:28:46.1388529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1389085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1389661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1390239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1390795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1391287Z return conv2d_same( 2025-09-07T08:28:46.1391751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1392308Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1392837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1393440Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1394062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1394579Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1394808Z 2025-09-07T08:28:46.1394949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1395586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1396054Z return mod(*inputs) 2025-09-07T08:28:46.1396513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1397023Z x = self.forward_features(x) 2025-09-07T08:28:46.1397550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1398083Z x = self.blocks(x) 2025-09-07T08:28:46.1398566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1399090Z x = self.conv_dw(x) 2025-09-07T08:28:46.1399541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1400154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1400726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1401288Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1401844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1402331Z return conv2d_same( 2025-09-07T08:28:46.1402795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1403456Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1403724Z 2025-09-07T08:28:46.1403861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1404378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1404843Z return mod(*inputs) 2025-09-07T08:28:46.1405302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1405810Z x = self.forward_features(x) 2025-09-07T08:28:46.1406333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1406868Z x = self.blocks(x) 2025-09-07T08:28:46.1407351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1407875Z x = self.conv_dw(x) 2025-09-07T08:28:46.1408321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1408878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1409444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1410010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1410568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1411055Z return conv2d_same( 2025-09-07T08:28:46.1411517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1412071Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1412594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1413185Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1413763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1414274Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1414495Z 2025-09-07T08:28:46.1414637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1415152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1415717Z return mod(*inputs) 2025-09-07T08:28:46.1416187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1416695Z x = self.forward_features(x) 2025-09-07T08:28:46.1417224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1417756Z x = self.blocks(x) 2025-09-07T08:28:46.1418234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1418764Z x = self.conv_dw(x) 2025-09-07T08:28:46.1419216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1419814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1420378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1420947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1421497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1421984Z return conv2d_same( 2025-09-07T08:28:46.1422448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1423041Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1423346Z 2025-09-07T08:28:46.1423482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1424001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1424461Z return mod(*inputs) 2025-09-07T08:28:46.1424917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1425422Z x = self.forward_features(x) 2025-09-07T08:28:46.1425949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1426481Z x = self.blocks(x) 2025-09-07T08:28:46.1426963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1427481Z x = self.conv_dw(x) 2025-09-07T08:28:46.1427929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1428483Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1429053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1429622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1430171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1430664Z return conv2d_same( 2025-09-07T08:28:46.1431130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1431684Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1432207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1432795Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1433374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1433886Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1434104Z 2025-09-07T08:28:46.1434248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1434759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1435316Z return mod(*inputs) 2025-09-07T08:28:46.1435782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1436289Z x = self.forward_features(x) 2025-09-07T08:28:46.1436813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1437340Z x = self.blocks(x) 2025-09-07T08:28:46.1437820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1438346Z x = self.conv_dw(x) 2025-09-07T08:28:46.1438796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1439408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1439972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1440545Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1441093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1441576Z return conv2d_same( 2025-09-07T08:28:46.1442035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1442633Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1442939Z 2025-09-07T08:28:46.1443039Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1443324Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1443597Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1443916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1444432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1444894Z return mod(*inputs) 2025-09-07T08:28:46.1445357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1445864Z x = self.forward_features(x) 2025-09-07T08:28:46.1446389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1446919Z x = self.blocks(x) 2025-09-07T08:28:46.1447421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1447945Z x = self.conv_dw(x) 2025-09-07T08:28:46.1448401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1448904Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1449050Z 2025-09-07T08:28:46.1449192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1449709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1450171Z return mod(*inputs) 2025-09-07T08:28:46.1450632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1451141Z x = self.forward_features(x) 2025-09-07T08:28:46.1451664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1452196Z x = self.blocks(x) 2025-09-07T08:28:46.1452683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:28:46.1453209Z x = self.bn2(x) 2025-09-07T08:28:46.1453634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1454113Z x = self.act(x) 2025-09-07T08:28:46.1454231Z 2025-09-07T08:28:46.1454365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1455011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1455486Z return mod(*inputs) 2025-09-07T08:28:46.1455946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1456450Z x = self.forward_features(x) 2025-09-07T08:28:46.1456972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1457509Z x = self.blocks(x) 2025-09-07T08:28:46.1457996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1458526Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1459037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1459590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1460157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1460728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1460962Z 2025-09-07T08:28:46.1461101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1461609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1462071Z return mod(*inputs) 2025-09-07T08:28:46.1462587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1463092Z x = self.forward_features(x) 2025-09-07T08:28:46.1463705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1464251Z x = self.blocks(x) 2025-09-07T08:28:46.1464737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1465269Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1465725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1466273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1466842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1467411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1467648Z 2025-09-07T08:28:46.1467751Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1468032Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1468348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1468867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1469329Z return mod(*inputs) 2025-09-07T08:28:46.1469791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1470300Z x = self.forward_features(x) 2025-09-07T08:28:46.1470824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1471354Z x = self.blocks(x) 2025-09-07T08:28:46.1471838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1472365Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1472822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1473320Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1473468Z 2025-09-07T08:28:46.1473608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1474125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1474580Z return mod(*inputs) 2025-09-07T08:28:46.1475218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1475752Z x = self.forward_features(x) 2025-09-07T08:28:46.1476273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1476803Z x = self.blocks(x) 2025-09-07T08:28:46.1477285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:28:46.1477808Z x = self.bn3(x) 2025-09-07T08:28:46.1478229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1478782Z x = F.batch_norm( 2025-09-07T08:28:46.1478908Z 2025-09-07T08:28:46.1479042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1479557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1480019Z return mod(*inputs) 2025-09-07T08:28:46.1480477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1480980Z x = self.forward_features(x) 2025-09-07T08:28:46.1481504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1482035Z x = self.blocks(x) 2025-09-07T08:28:46.1482516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1483105Z x = self.conv_pw(x) 2025-09-07T08:28:46.1483557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1484111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1484675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1485245Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1485481Z 2025-09-07T08:28:46.1485619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1486126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1486585Z return mod(*inputs) 2025-09-07T08:28:46.1487040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1487550Z x = self.forward_features(x) 2025-09-07T08:28:46.1488070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1488606Z x = self.blocks(x) 2025-09-07T08:28:46.1489095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1489619Z x = self.conv_pw(x) 2025-09-07T08:28:46.1490072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1490627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1491194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1491758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1491991Z 2025-09-07T08:28:46.1492097Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1492380Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1492690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1493204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1493667Z return mod(*inputs) 2025-09-07T08:28:46.1494123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1494743Z x = self.forward_features(x) 2025-09-07T08:28:46.1495275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1495807Z x = self.blocks(x) 2025-09-07T08:28:46.1496288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1496805Z x = self.conv_pw(x) 2025-09-07T08:28:46.1497257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1497747Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1497891Z 2025-09-07T08:28:46.1498029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1498595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1499053Z return mod(*inputs) 2025-09-07T08:28:46.1499515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1500021Z x = self.forward_features(x) 2025-09-07T08:28:46.1500545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1501072Z x = self.blocks(x) 2025-09-07T08:28:46.1501549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1502117Z x = self.bn1(x) 2025-09-07T08:28:46.1502540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1503011Z x = self.act(x) 2025-09-07T08:28:46.1503129Z 2025-09-07T08:28:46.1503266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1503779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1504237Z return mod(*inputs) 2025-09-07T08:28:46.1504693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1505196Z x = self.forward_features(x) 2025-09-07T08:28:46.1505721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1506251Z x = self.blocks(x) 2025-09-07T08:28:46.1506734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1507257Z x = self.conv_dw(x) 2025-09-07T08:28:46.1507386Z 2025-09-07T08:28:46.1507519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1508029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1508492Z return mod(*inputs) 2025-09-07T08:28:46.1508946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1509454Z x = self.forward_features(x) 2025-09-07T08:28:46.1509976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1510507Z x = self.blocks(x) 2025-09-07T08:28:46.1510987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:28:46.1511505Z x = self.bn2(x) 2025-09-07T08:28:46.1511928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1512400Z x = self.act(x) 2025-09-07T08:28:46.1512522Z 2025-09-07T08:28:46.1512656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1513173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1513630Z return mod(*inputs) 2025-09-07T08:28:46.1514226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1514755Z x = self.forward_features(x) 2025-09-07T08:28:46.1515280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1515810Z x = self.blocks(x) 2025-09-07T08:28:46.1516287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1516817Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1517272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1517828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1518441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1519004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1519240Z 2025-09-07T08:28:46.1519379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1519887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1520345Z return mod(*inputs) 2025-09-07T08:28:46.1520799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1521305Z x = self.forward_features(x) 2025-09-07T08:28:46.1521875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1522405Z x = self.blocks(x) 2025-09-07T08:28:46.1522885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1523410Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1523864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1524419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1524986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1525547Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1525781Z 2025-09-07T08:28:46.1525877Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1526156Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1526474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1526982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1527437Z return mod(*inputs) 2025-09-07T08:28:46.1527898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1528407Z x = self.forward_features(x) 2025-09-07T08:28:46.1528933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1529462Z x = self.blocks(x) 2025-09-07T08:28:46.1529943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1530468Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1530937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1531433Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1531577Z 2025-09-07T08:28:46.1531712Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1532232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1532698Z return mod(*inputs) 2025-09-07T08:28:46.1533155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1533661Z x = self.forward_features(x) 2025-09-07T08:28:46.1534301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1534840Z x = self.blocks(x) 2025-09-07T08:28:46.1535321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.1535859Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.1536034Z 2025-09-07T08:28:46.1536169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1536685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1537143Z return mod(*inputs) 2025-09-07T08:28:46.1537599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1538160Z x = self.forward_features(x) 2025-09-07T08:28:46.1538687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1539218Z x = self.blocks(x) 2025-09-07T08:28:46.1539698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1540221Z x = self.conv_pw(x) 2025-09-07T08:28:46.1540351Z 2025-09-07T08:28:46.1540486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1541003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1541515Z return mod(*inputs) 2025-09-07T08:28:46.1541973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1542479Z x = self.forward_features(x) 2025-09-07T08:28:46.1542998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1543527Z x = self.blocks(x) 2025-09-07T08:28:46.1544010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1544529Z x = self.bn1(x) 2025-09-07T08:28:46.1544947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1545417Z x = F.batch_norm( 2025-09-07T08:28:46.1545545Z 2025-09-07T08:28:46.1545680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1546197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1546653Z return mod(*inputs) 2025-09-07T08:28:46.1547107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1547613Z x = self.forward_features(x) 2025-09-07T08:28:46.1548135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1548669Z x = self.blocks(x) 2025-09-07T08:28:46.1549148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1549667Z x = self.bn1(x) 2025-09-07T08:28:46.1550089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1550562Z x = self.act(x) 2025-09-07T08:28:46.1550679Z 2025-09-07T08:28:46.1550817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1551335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1551792Z return mod(*inputs) 2025-09-07T08:28:46.1552251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1552763Z x = self.forward_features(x) 2025-09-07T08:28:46.1553392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1553935Z x = self.blocks(x) 2025-09-07T08:28:46.1554418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1554939Z x = self.conv_dw(x) 2025-09-07T08:28:46.1555383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1555940Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1556510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1557074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1557669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1558155Z return conv2d_same( 2025-09-07T08:28:46.1558623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1559175Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1559702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1560291Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1560860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1561435Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1561657Z 2025-09-07T08:28:46.1561792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1562313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1562770Z return mod(*inputs) 2025-09-07T08:28:46.1563231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1563820Z x = self.forward_features(x) 2025-09-07T08:28:46.1564346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1564876Z x = self.blocks(x) 2025-09-07T08:28:46.1565354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1565876Z x = self.conv_dw(x) 2025-09-07T08:28:46.1566326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1566878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1567441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1568005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1568557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1569042Z return conv2d_same( 2025-09-07T08:28:46.1569503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1570098Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1570367Z 2025-09-07T08:28:46.1570502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1571017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1571477Z return mod(*inputs) 2025-09-07T08:28:46.1571932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1572439Z x = self.forward_features(x) 2025-09-07T08:28:46.1572968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1573670Z x = self.blocks(x) 2025-09-07T08:28:46.1574174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1574693Z x = self.conv_dw(x) 2025-09-07T08:28:46.1575139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1575691Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1576259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1576824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1577450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1577937Z return conv2d_same( 2025-09-07T08:28:46.1578402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1578951Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1579470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1580060Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1580634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1581212Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1581428Z 2025-09-07T08:28:46.1581566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1582076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1582540Z return mod(*inputs) 2025-09-07T08:28:46.1582994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1583506Z x = self.forward_features(x) 2025-09-07T08:28:46.1584030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1584557Z x = self.blocks(x) 2025-09-07T08:28:46.1585041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1585563Z x = self.conv_dw(x) 2025-09-07T08:28:46.1586013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1586564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1587131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1587695Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1588248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1588734Z return conv2d_same( 2025-09-07T08:28:46.1589193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1589791Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1590061Z 2025-09-07T08:28:46.1590201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1590718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1591180Z return mod(*inputs) 2025-09-07T08:28:46.1591634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1592147Z x = self.forward_features(x) 2025-09-07T08:28:46.1592670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1593336Z x = self.blocks(x) 2025-09-07T08:28:46.1593825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1594347Z x = self.conv_dw(x) 2025-09-07T08:28:46.1594792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1595345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1595908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1596467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1597017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1597556Z return conv2d_same( 2025-09-07T08:28:46.1598019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1598567Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1599089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1599678Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1600248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1600802Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1601019Z 2025-09-07T08:28:46.1601154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1601667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1602129Z return mod(*inputs) 2025-09-07T08:28:46.1602587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1603101Z x = self.forward_features(x) 2025-09-07T08:28:46.1603622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1604153Z x = self.blocks(x) 2025-09-07T08:28:46.1604632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1605157Z x = self.conv_dw(x) 2025-09-07T08:28:46.1605599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1606152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1606712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1607277Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1607829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1608312Z return conv2d_same( 2025-09-07T08:28:46.1608775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1609373Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1609636Z 2025-09-07T08:28:46.1609776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1610289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1610751Z return mod(*inputs) 2025-09-07T08:28:46.1611212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1611722Z x = self.forward_features(x) 2025-09-07T08:28:46.1612249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1612777Z x = self.blocks(x) 2025-09-07T08:28:46.1613371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1613906Z x = self.conv_dw(x) 2025-09-07T08:28:46.1614356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1614908Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1615469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1616035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1616582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1617115Z return conv2d_same( 2025-09-07T08:28:46.1617574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1618128Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1618650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1619236Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1619804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1620347Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1620569Z 2025-09-07T08:28:46.1620706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1621220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1621685Z return mod(*inputs) 2025-09-07T08:28:46.1622141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1622648Z x = self.forward_features(x) 2025-09-07T08:28:46.1623172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1623712Z x = self.blocks(x) 2025-09-07T08:28:46.1624198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1624716Z x = self.conv_dw(x) 2025-09-07T08:28:46.1625168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1625723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1626292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1626858Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1627403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1627899Z return conv2d_same( 2025-09-07T08:28:46.1628363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1628959Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1629224Z 2025-09-07T08:28:46.1629326Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1629601Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1629884Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1630163Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1630478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1630990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1631453Z return mod(*inputs) 2025-09-07T08:28:46.1631909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1632533Z x = self.forward_features(x) 2025-09-07T08:28:46.1633070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1633600Z x = self.blocks(x) 2025-09-07T08:28:46.1634083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1634602Z x = self.conv_dw(x) 2025-09-07T08:28:46.1635055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1635541Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1635690Z 2025-09-07T08:28:46.1635785Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1636152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1636666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1637122Z return mod(*inputs) 2025-09-07T08:28:46.1637583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1638089Z x = self.forward_features(x) 2025-09-07T08:28:46.1638615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1639144Z x = self.blocks(x) 2025-09-07T08:28:46.1639623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1640185Z x = self.se(x) 2025-09-07T08:28:46.1640652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.1641197Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.1641372Z 2025-09-07T08:28:46.1641509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1642026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1642489Z return mod(*inputs) 2025-09-07T08:28:46.1642946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1643451Z x = self.forward_features(x) 2025-09-07T08:28:46.1643971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1644503Z x = self.blocks(x) 2025-09-07T08:28:46.1644988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1645504Z x = self.se(x) 2025-09-07T08:28:46.1645965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.1646498Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.1646667Z 2025-09-07T08:28:46.1646801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1647320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1647780Z return mod(*inputs) 2025-09-07T08:28:46.1648234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1648741Z x = self.forward_features(x) 2025-09-07T08:28:46.1649265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1649799Z x = self.blocks(x) 2025-09-07T08:28:46.1650278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1650795Z x = self.se(x) 2025-09-07T08:28:46.1651263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.1651788Z x_se = self.act1(x_se) 2025-09-07T08:28:46.1651929Z 2025-09-07T08:28:46.1652162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1652682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1653143Z return mod(*inputs) 2025-09-07T08:28:46.1653604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1654109Z x = self.forward_features(x) 2025-09-07T08:28:46.1654630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1655163Z x = self.blocks(x) 2025-09-07T08:28:46.1655645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1656221Z x = self.se(x) 2025-09-07T08:28:46.1656685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.1657210Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.1657382Z 2025-09-07T08:28:46.1657518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1658035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1658496Z return mod(*inputs) 2025-09-07T08:28:46.1658952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1659463Z x = self.forward_features(x) 2025-09-07T08:28:46.1660087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1660617Z x = self.blocks(x) 2025-09-07T08:28:46.1661099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1661612Z x = self.se(x) 2025-09-07T08:28:46.1662082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1662607Z return x * self.gate(x_se) 2025-09-07T08:28:46.1662762Z 2025-09-07T08:28:46.1662901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1663478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1663939Z return mod(*inputs) 2025-09-07T08:28:46.1664397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1664909Z x = self.forward_features(x) 2025-09-07T08:28:46.1665434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1665964Z x = self.blocks(x) 2025-09-07T08:28:46.1666448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1666965Z x = self.se(x) 2025-09-07T08:28:46.1667434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1667956Z return x * self.gate(x_se) 2025-09-07T08:28:46.1668113Z 2025-09-07T08:28:46.1668248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1668762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1669223Z return mod(*inputs) 2025-09-07T08:28:46.1669684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1670189Z x = self.forward_features(x) 2025-09-07T08:28:46.1670717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1671251Z x = self.blocks(x) 2025-09-07T08:28:46.1671733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1672434Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1672587Z 2025-09-07T08:28:46.1672722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1673239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1673701Z return mod(*inputs) 2025-09-07T08:28:46.1674157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1674663Z x = self.forward_features(x) 2025-09-07T08:28:46.1675185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1675717Z x = self.blocks(x) 2025-09-07T08:28:46.1676279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:28:46.1676795Z x = self.bn3(x) 2025-09-07T08:28:46.1677223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1677696Z x = F.batch_norm( 2025-09-07T08:28:46.1677821Z 2025-09-07T08:28:46.1677961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1678475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1678930Z return mod(*inputs) 2025-09-07T08:28:46.1679388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1679978Z x = self.forward_features(x) 2025-09-07T08:28:46.1680506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1681035Z x = self.blocks(x) 2025-09-07T08:28:46.1681520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1682043Z x = self.conv_pw(x) 2025-09-07T08:28:46.1682500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1683054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1683618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1684182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1684420Z 2025-09-07T08:28:46.1684555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1685067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1685525Z return mod(*inputs) 2025-09-07T08:28:46.1685981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1686490Z x = self.forward_features(x) 2025-09-07T08:28:46.1687021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1687557Z x = self.blocks(x) 2025-09-07T08:28:46.1688033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1688554Z x = self.conv_pw(x) 2025-09-07T08:28:46.1689005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1689562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1690130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1690690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1690933Z 2025-09-07T08:28:46.1691032Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1691315Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1691742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1692261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1692724Z return mod(*inputs) 2025-09-07T08:28:46.1693179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1693687Z x = self.forward_features(x) 2025-09-07T08:28:46.1694212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1694744Z x = self.blocks(x) 2025-09-07T08:28:46.1695227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1695795Z x = self.conv_pw(x) 2025-09-07T08:28:46.1696244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1696731Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1696884Z 2025-09-07T08:28:46.1697018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1697533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1697993Z return mod(*inputs) 2025-09-07T08:28:46.1698448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1698954Z x = self.forward_features(x) 2025-09-07T08:28:46.1699524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1700055Z x = self.blocks(x) 2025-09-07T08:28:46.1700538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1701055Z x = self.bn1(x) 2025-09-07T08:28:46.1701474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1701949Z x = F.batch_norm( 2025-09-07T08:28:46.1702076Z 2025-09-07T08:28:46.1702214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1702730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1703188Z return mod(*inputs) 2025-09-07T08:28:46.1703647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1704153Z x = self.forward_features(x) 2025-09-07T08:28:46.1704676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1705202Z x = self.blocks(x) 2025-09-07T08:28:46.1705682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1706199Z x = self.bn1(x) 2025-09-07T08:28:46.1706624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1707093Z x = self.act(x) 2025-09-07T08:28:46.1707211Z 2025-09-07T08:28:46.1707308Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1707625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1708140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1708601Z return mod(*inputs) 2025-09-07T08:28:46.1709061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1709571Z x = self.forward_features(x) 2025-09-07T08:28:46.1710094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1710627Z x = self.blocks(x) 2025-09-07T08:28:46.1711108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1711772Z x = self.conv_dw(x) 2025-09-07T08:28:46.1712245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1712801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1713367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1713925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1714163Z 2025-09-07T08:28:46.1714261Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1714583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1715095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1715618Z return mod(*inputs) 2025-09-07T08:28:46.1716071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1716581Z x = self.forward_features(x) 2025-09-07T08:28:46.1717104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1717636Z x = self.blocks(x) 2025-09-07T08:28:46.1718114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1718636Z x = self.conv_dw(x) 2025-09-07T08:28:46.1733685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1734287Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1734865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1735450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1735685Z 2025-09-07T08:28:46.1735790Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1736071Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1736394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1736919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1737384Z return mod(*inputs) 2025-09-07T08:28:46.1737846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1738363Z x = self.forward_features(x) 2025-09-07T08:28:46.1738893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1739429Z x = self.blocks(x) 2025-09-07T08:28:46.1739920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1740443Z x = self.conv_dw(x) 2025-09-07T08:28:46.1740898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1741395Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1741539Z 2025-09-07T08:28:46.1741641Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1741960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1742477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1742938Z return mod(*inputs) 2025-09-07T08:28:46.1743401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1743911Z x = self.forward_features(x) 2025-09-07T08:28:46.1744434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1744972Z x = self.blocks(x) 2025-09-07T08:28:46.1745457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1746163Z x = self.se(x) 2025-09-07T08:28:46.1746643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.1747179Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.1747361Z 2025-09-07T08:28:46.1747498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1748016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1748477Z return mod(*inputs) 2025-09-07T08:28:46.1748942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1749453Z x = self.forward_features(x) 2025-09-07T08:28:46.1750065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1750604Z x = self.blocks(x) 2025-09-07T08:28:46.1751092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1751610Z x = self.se(x) 2025-09-07T08:28:46.1752076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.1752611Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.1752778Z 2025-09-07T08:28:46.1752917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1753485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1753944Z return mod(*inputs) 2025-09-07T08:28:46.1754402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1754914Z x = self.forward_features(x) 2025-09-07T08:28:46.1755440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1755974Z x = self.blocks(x) 2025-09-07T08:28:46.1756459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1756980Z x = self.se(x) 2025-09-07T08:28:46.1757450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.1757974Z x_se = self.act1(x_se) 2025-09-07T08:28:46.1758118Z 2025-09-07T08:28:46.1758255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1758773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1759233Z return mod(*inputs) 2025-09-07T08:28:46.1759698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1760201Z x = self.forward_features(x) 2025-09-07T08:28:46.1760732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1761266Z x = self.blocks(x) 2025-09-07T08:28:46.1761749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1762266Z x = self.se(x) 2025-09-07T08:28:46.1762732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.1763351Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.1763535Z 2025-09-07T08:28:46.1763670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1764188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1764649Z return mod(*inputs) 2025-09-07T08:28:46.1765106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1765612Z x = self.forward_features(x) 2025-09-07T08:28:46.1766327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1766867Z x = self.blocks(x) 2025-09-07T08:28:46.1767350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1767870Z x = self.se(x) 2025-09-07T08:28:46.1768334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1768867Z return x * self.gate(x_se) 2025-09-07T08:28:46.1769022Z 2025-09-07T08:28:46.1769161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1769674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1770213Z return mod(*inputs) 2025-09-07T08:28:46.1770674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1771192Z x = self.forward_features(x) 2025-09-07T08:28:46.1771718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1772250Z x = self.blocks(x) 2025-09-07T08:28:46.1772732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1773249Z x = self.se(x) 2025-09-07T08:28:46.1773708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1774314Z return x * self.gate(x_se) 2025-09-07T08:28:46.1774472Z 2025-09-07T08:28:46.1774570Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1774893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1775414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1775868Z return mod(*inputs) 2025-09-07T08:28:46.1776330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1776836Z x = self.forward_features(x) 2025-09-07T08:28:46.1777361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1777897Z x = self.blocks(x) 2025-09-07T08:28:46.1778378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1778912Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1779373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1779931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1780498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1781071Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1781311Z 2025-09-07T08:28:46.1781408Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1781729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1782241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1782696Z return mod(*inputs) 2025-09-07T08:28:46.1783155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1783668Z x = self.forward_features(x) 2025-09-07T08:28:46.1784193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1784723Z x = self.blocks(x) 2025-09-07T08:28:46.1785205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1785734Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1786303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1786870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1787432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1787998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1788241Z 2025-09-07T08:28:46.1788339Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1788620Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1788937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1789503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1789965Z return mod(*inputs) 2025-09-07T08:28:46.1790425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1790940Z x = self.forward_features(x) 2025-09-07T08:28:46.1791464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1791995Z x = self.blocks(x) 2025-09-07T08:28:46.1792479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1793005Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1793500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1793994Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1794144Z 2025-09-07T08:28:46.1794280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1794801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1795260Z return mod(*inputs) 2025-09-07T08:28:46.1795719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1796226Z x = self.forward_features(x) 2025-09-07T08:28:46.1796750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1797281Z x = self.blocks(x) 2025-09-07T08:28:46.1797758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.1798294Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.1798470Z 2025-09-07T08:28:46.1798606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1799124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1799583Z return mod(*inputs) 2025-09-07T08:28:46.1800040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1800553Z x = self.forward_features(x) 2025-09-07T08:28:46.1801081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1801613Z x = self.blocks(x) 2025-09-07T08:28:46.1802092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1802620Z x = self.conv_pw(x) 2025-09-07T08:28:46.1803069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1803626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1804193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1804759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1805010Z 2025-09-07T08:28:46.1805147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1805764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1806236Z return mod(*inputs) 2025-09-07T08:28:46.1806690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1807197Z x = self.forward_features(x) 2025-09-07T08:28:46.1807719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1808251Z x = self.blocks(x) 2025-09-07T08:28:46.1808727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1809295Z x = self.conv_pw(x) 2025-09-07T08:28:46.1809742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1810291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1810856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1811415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1811649Z 2025-09-07T08:28:46.1811746Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1812027Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1812341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1812901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1813356Z return mod(*inputs) 2025-09-07T08:28:46.1813814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1814320Z x = self.forward_features(x) 2025-09-07T08:28:46.1814842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1815375Z x = self.blocks(x) 2025-09-07T08:28:46.1815858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1816379Z x = self.conv_pw(x) 2025-09-07T08:28:46.1816827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1817315Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1817458Z 2025-09-07T08:28:46.1817594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1818110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1818567Z return mod(*inputs) 2025-09-07T08:28:46.1819023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1819524Z x = self.forward_features(x) 2025-09-07T08:28:46.1820052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1820582Z x = self.blocks(x) 2025-09-07T08:28:46.1821064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1821577Z x = self.bn1(x) 2025-09-07T08:28:46.1821994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1822465Z x = F.batch_norm( 2025-09-07T08:28:46.1822595Z 2025-09-07T08:28:46.1822729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1823244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1823703Z return mod(*inputs) 2025-09-07T08:28:46.1824159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1824663Z x = self.forward_features(x) 2025-09-07T08:28:46.1825315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1825857Z x = self.blocks(x) 2025-09-07T08:28:46.1826335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1826851Z x = self.bn1(x) 2025-09-07T08:28:46.1827276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1827745Z x = self.act(x) 2025-09-07T08:28:46.1827863Z 2025-09-07T08:28:46.1827960Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1828281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1828844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1829300Z return mod(*inputs) 2025-09-07T08:28:46.1829757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1830265Z x = self.forward_features(x) 2025-09-07T08:28:46.1830785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1831313Z x = self.blocks(x) 2025-09-07T08:28:46.1831791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1832310Z x = self.conv_dw(x) 2025-09-07T08:28:46.1832807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1833359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1833926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1834488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1834721Z 2025-09-07T08:28:46.1834821Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1835143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1835656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1836114Z return mod(*inputs) 2025-09-07T08:28:46.1836567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1837072Z x = self.forward_features(x) 2025-09-07T08:28:46.1837597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1838125Z x = self.blocks(x) 2025-09-07T08:28:46.1838604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1839124Z x = self.conv_dw(x) 2025-09-07T08:28:46.1839574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1840126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1840690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1841249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1841483Z 2025-09-07T08:28:46.1841580Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1841860Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1842174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1842684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1843141Z return mod(*inputs) 2025-09-07T08:28:46.1843596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1844103Z x = self.forward_features(x) 2025-09-07T08:28:46.1844743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1845278Z x = self.blocks(x) 2025-09-07T08:28:46.1845760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1846278Z x = self.conv_dw(x) 2025-09-07T08:28:46.1846725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1847221Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1847366Z 2025-09-07T08:28:46.1847462Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1847778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1848334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1848791Z return mod(*inputs) 2025-09-07T08:28:46.1849244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1849754Z x = self.forward_features(x) 2025-09-07T08:28:46.1850275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1850804Z x = self.blocks(x) 2025-09-07T08:28:46.1851283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1851840Z x = self.se(x) 2025-09-07T08:28:46.1852300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.1852826Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.1853005Z 2025-09-07T08:28:46.1853142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1853651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1854109Z return mod(*inputs) 2025-09-07T08:28:46.1854568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1855071Z x = self.forward_features(x) 2025-09-07T08:28:46.1855588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1856116Z x = self.blocks(x) 2025-09-07T08:28:46.1856593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1857113Z x = self.se(x) 2025-09-07T08:28:46.1857575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.1858099Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.1858266Z 2025-09-07T08:28:46.1858399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1858914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1859372Z return mod(*inputs) 2025-09-07T08:28:46.1859828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1860334Z x = self.forward_features(x) 2025-09-07T08:28:46.1860858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1861388Z x = self.blocks(x) 2025-09-07T08:28:46.1861874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1862385Z x = self.se(x) 2025-09-07T08:28:46.1862846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.1863477Z x_se = self.act1(x_se) 2025-09-07T08:28:46.1863621Z 2025-09-07T08:28:46.1863756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1864422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1864882Z return mod(*inputs) 2025-09-07T08:28:46.1865338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1865841Z x = self.forward_features(x) 2025-09-07T08:28:46.1866360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1866888Z x = self.blocks(x) 2025-09-07T08:28:46.1867368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1867882Z x = self.se(x) 2025-09-07T08:28:46.1868410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.1868937Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.1869100Z 2025-09-07T08:28:46.1869237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1869750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1870203Z return mod(*inputs) 2025-09-07T08:28:46.1870659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1871162Z x = self.forward_features(x) 2025-09-07T08:28:46.1871685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1872284Z x = self.blocks(x) 2025-09-07T08:28:46.1872763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1873279Z x = self.se(x) 2025-09-07T08:28:46.1873738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1874263Z return x * self.gate(x_se) 2025-09-07T08:28:46.1874424Z 2025-09-07T08:28:46.1874559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1875075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1875528Z return mod(*inputs) 2025-09-07T08:28:46.1875981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1876486Z x = self.forward_features(x) 2025-09-07T08:28:46.1877009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1877539Z x = self.blocks(x) 2025-09-07T08:28:46.1878016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1878533Z x = self.se(x) 2025-09-07T08:28:46.1878999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1879524Z return x * self.gate(x_se) 2025-09-07T08:28:46.1879678Z 2025-09-07T08:28:46.1879776Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1880093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1880605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1881062Z return mod(*inputs) 2025-09-07T08:28:46.1881517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1882023Z x = self.forward_features(x) 2025-09-07T08:28:46.1882544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1883075Z x = self.blocks(x) 2025-09-07T08:28:46.1883553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1884185Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1884653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1885203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1885765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1886329Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1886565Z 2025-09-07T08:28:46.1886662Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1886981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1887491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1887997Z return mod(*inputs) 2025-09-07T08:28:46.1888449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1888957Z x = self.forward_features(x) 2025-09-07T08:28:46.1889479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1890009Z x = self.blocks(x) 2025-09-07T08:28:46.1890489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1891008Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1891460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1892058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1892620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1893190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1893423Z 2025-09-07T08:28:46.1893521Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1893805Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1894120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1894632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1895085Z return mod(*inputs) 2025-09-07T08:28:46.1895543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1896051Z x = self.forward_features(x) 2025-09-07T08:28:46.1896572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1897098Z x = self.blocks(x) 2025-09-07T08:28:46.1897579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1898102Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1898560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1899049Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1899197Z 2025-09-07T08:28:46.1899333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1899846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1900302Z return mod(*inputs) 2025-09-07T08:28:46.1900755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1901263Z x = self.forward_features(x) 2025-09-07T08:28:46.1901783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1902318Z x = self.blocks(x) 2025-09-07T08:28:46.1902798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.1903329Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.1903643Z 2025-09-07T08:28:46.1903792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1904309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1904769Z return mod(*inputs) 2025-09-07T08:28:46.1905223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1905731Z x = self.forward_features(x) 2025-09-07T08:28:46.1906250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1906329Z x = self.blocks(x) 2025-09-07T08:28:46.1906682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1906812Z x = self.conv_pw(x) 2025-09-07T08:28:46.1907128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1907268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1907602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1907738Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1907743Z 2025-09-07T08:28:46.1907880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1908165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1908284Z return mod(*inputs) 2025-09-07T08:28:46.1908610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1908697Z x = self.forward_features(x) 2025-09-07T08:28:46.1909060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1909133Z x = self.blocks(x) 2025-09-07T08:28:46.1909485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1909563Z x = self.conv_pw(x) 2025-09-07T08:28:46.1909880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1910022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1910352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1910494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1910499Z 2025-09-07T08:28:46.1910599Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1910696Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1910835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1911125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1911205Z return mod(*inputs) 2025-09-07T08:28:46.1911528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1911612Z x = self.forward_features(x) 2025-09-07T08:28:46.1911978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1912051Z x = self.blocks(x) 2025-09-07T08:28:46.1912406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1912481Z x = self.conv_pw(x) 2025-09-07T08:28:46.1912795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1912880Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1912884Z 2025-09-07T08:28:46.1913019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1913400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1913483Z return mod(*inputs) 2025-09-07T08:28:46.1913808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1913897Z x = self.forward_features(x) 2025-09-07T08:28:46.1914260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1914340Z x = self.blocks(x) 2025-09-07T08:28:46.1914691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1914806Z x = self.bn1(x) 2025-09-07T08:28:46.1915109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1915180Z x = F.batch_norm( 2025-09-07T08:28:46.1915184Z 2025-09-07T08:28:46.1915325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1915611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1915689Z return mod(*inputs) 2025-09-07T08:28:46.1916013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1916098Z x = self.forward_features(x) 2025-09-07T08:28:46.1916463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1916589Z x = self.blocks(x) 2025-09-07T08:28:46.1916944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1917018Z x = self.bn1(x) 2025-09-07T08:28:46.1917320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1917393Z x = self.act(x) 2025-09-07T08:28:46.1917401Z 2025-09-07T08:28:46.1917501Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1917640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1917924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1917999Z return mod(*inputs) 2025-09-07T08:28:46.1918325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1918413Z x = self.forward_features(x) 2025-09-07T08:28:46.1918775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1918849Z x = self.blocks(x) 2025-09-07T08:28:46.1919207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1919282Z x = self.conv_dw(x) 2025-09-07T08:28:46.1919601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1919746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1920075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1920217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1920222Z 2025-09-07T08:28:46.1920318Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1920454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1920743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1920818Z return mod(*inputs) 2025-09-07T08:28:46.1921148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1921232Z x = self.forward_features(x) 2025-09-07T08:28:46.1921673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1921763Z x = self.blocks(x) 2025-09-07T08:28:46.1922112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1922192Z x = self.conv_dw(x) 2025-09-07T08:28:46.1922512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1922652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1922983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1923162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1923166Z 2025-09-07T08:28:46.1923265Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1923360Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1923501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1923786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1923861Z return mod(*inputs) 2025-09-07T08:28:46.1924188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1924273Z x = self.forward_features(x) 2025-09-07T08:28:46.1924638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1924757Z x = self.blocks(x) 2025-09-07T08:28:46.1925107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1925189Z x = self.conv_dw(x) 2025-09-07T08:28:46.1925506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1925586Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1925594Z 2025-09-07T08:28:46.1925691Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1925826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1926112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1926187Z return mod(*inputs) 2025-09-07T08:28:46.1926512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1926598Z x = self.forward_features(x) 2025-09-07T08:28:46.1926958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1927034Z x = self.blocks(x) 2025-09-07T08:28:46.1927386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1927458Z x = self.se(x) 2025-09-07T08:28:46.1927808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.1927898Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.1927903Z 2025-09-07T08:28:46.1928535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1928821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1928899Z return mod(*inputs) 2025-09-07T08:28:46.1929222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1929313Z x = self.forward_features(x) 2025-09-07T08:28:46.1929673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1929749Z x = self.blocks(x) 2025-09-07T08:28:46.1930100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1930240Z x = self.se(x) 2025-09-07T08:28:46.1930605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.1930691Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.1930696Z 2025-09-07T08:28:46.1930835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1931119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1931199Z return mod(*inputs) 2025-09-07T08:28:46.1931528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1931615Z x = self.forward_features(x) 2025-09-07T08:28:46.1932012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1932087Z x = self.blocks(x) 2025-09-07T08:28:46.1932440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1932514Z x = self.se(x) 2025-09-07T08:28:46.1932857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.1932941Z x_se = self.act1(x_se) 2025-09-07T08:28:46.1932945Z 2025-09-07T08:28:46.1933080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1933364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1933502Z return mod(*inputs) 2025-09-07T08:28:46.1933825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1933916Z x = self.forward_features(x) 2025-09-07T08:28:46.1934277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1934349Z x = self.blocks(x) 2025-09-07T08:28:46.1934709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1934779Z x = self.se(x) 2025-09-07T08:28:46.1935128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.1935214Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.1935219Z 2025-09-07T08:28:46.1935357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1935643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1935720Z return mod(*inputs) 2025-09-07T08:28:46.1936047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1936134Z x = self.forward_features(x) 2025-09-07T08:28:46.1936497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1936574Z x = self.blocks(x) 2025-09-07T08:28:46.1936924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1936997Z x = self.se(x) 2025-09-07T08:28:46.1937342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1937427Z return x * self.gate(x_se) 2025-09-07T08:28:46.1937433Z 2025-09-07T08:28:46.1937570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1937856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1937935Z return mod(*inputs) 2025-09-07T08:28:46.1938261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1938351Z x = self.forward_features(x) 2025-09-07T08:28:46.1938778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1938860Z x = self.blocks(x) 2025-09-07T08:28:46.1939213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1939283Z x = self.se(x) 2025-09-07T08:28:46.1939632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1939720Z return x * self.gate(x_se) 2025-09-07T08:28:46.1939724Z 2025-09-07T08:28:46.1939824Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1939958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1940278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1940358Z return mod(*inputs) 2025-09-07T08:28:46.1940687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1940776Z x = self.forward_features(x) 2025-09-07T08:28:46.1941135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1941208Z x = self.blocks(x) 2025-09-07T08:28:46.1941563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1941642Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1942016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1942154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1942484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1942625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1942629Z 2025-09-07T08:28:46.1942731Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1942870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1943153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1943233Z return mod(*inputs) 2025-09-07T08:28:46.1943560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1943645Z x = self.forward_features(x) 2025-09-07T08:28:46.1944010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1944083Z x = self.blocks(x) 2025-09-07T08:28:46.1944438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1944518Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1944837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1944981Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1945309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1945448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1945453Z 2025-09-07T08:28:46.1945549Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1945645Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1945787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1946071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1946154Z return mod(*inputs) 2025-09-07T08:28:46.1946476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1946560Z x = self.forward_features(x) 2025-09-07T08:28:46.1947002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1947082Z x = self.blocks(x) 2025-09-07T08:28:46.1947437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1947514Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1947833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1947915Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1947919Z 2025-09-07T08:28:46.1948055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1948344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1948458Z return mod(*inputs) 2025-09-07T08:28:46.1948786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1948875Z x = self.forward_features(x) 2025-09-07T08:28:46.1949235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1949315Z x = self.blocks(x) 2025-09-07T08:28:46.1949665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.1949756Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.1949761Z 2025-09-07T08:28:46.1949928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1950213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1950292Z return mod(*inputs) 2025-09-07T08:28:46.1950617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1950707Z x = self.forward_features(x) 2025-09-07T08:28:46.1951071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1951150Z x = self.blocks(x) 2025-09-07T08:28:46.1951502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.1951579Z x = self.conv_pw(x) 2025-09-07T08:28:46.1951583Z 2025-09-07T08:28:46.1951723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1952007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1952089Z return mod(*inputs) 2025-09-07T08:28:46.1952413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1952501Z x = self.forward_features(x) 2025-09-07T08:28:46.1952868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1952942Z x = self.blocks(x) 2025-09-07T08:28:46.1953301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1953371Z x = self.bn1(x) 2025-09-07T08:28:46.1953676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.1953752Z x = F.batch_norm( 2025-09-07T08:28:46.1953756Z 2025-09-07T08:28:46.1953892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1954183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1954257Z return mod(*inputs) 2025-09-07T08:28:46.1954582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1954676Z x = self.forward_features(x) 2025-09-07T08:28:46.1955039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1955218Z x = self.blocks(x) 2025-09-07T08:28:46.1955579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.1955653Z x = self.bn1(x) 2025-09-07T08:28:46.1955956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.1956026Z x = self.act(x) 2025-09-07T08:28:46.1956031Z 2025-09-07T08:28:46.1956171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1956457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1956538Z return mod(*inputs) 2025-09-07T08:28:46.1956905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1956990Z x = self.forward_features(x) 2025-09-07T08:28:46.1957359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1957433Z x = self.blocks(x) 2025-09-07T08:28:46.1957789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1957864Z x = self.conv_dw(x) 2025-09-07T08:28:46.1958180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1958322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1958690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1958833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1959148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1959224Z return conv2d_same( 2025-09-07T08:28:46.1959558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1959686Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1959994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1960187Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1960480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1960609Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1960613Z 2025-09-07T08:28:46.1960747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1961041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1961117Z return mod(*inputs) 2025-09-07T08:28:46.1961448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1961535Z x = self.forward_features(x) 2025-09-07T08:28:46.1961897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1961973Z x = self.blocks(x) 2025-09-07T08:28:46.1962324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1962406Z x = self.conv_dw(x) 2025-09-07T08:28:46.1962726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1962866Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1963201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1963443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1963910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1963990Z return conv2d_same( 2025-09-07T08:28:46.1964321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1964493Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1964498Z 2025-09-07T08:28:46.1964631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1964921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1964997Z return mod(*inputs) 2025-09-07T08:28:46.1965323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1965499Z x = self.forward_features(x) 2025-09-07T08:28:46.1965866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1965943Z x = self.blocks(x) 2025-09-07T08:28:46.1966292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1966370Z x = self.conv_dw(x) 2025-09-07T08:28:46.1966687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1966830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1967229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1967365Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1967682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1967758Z return conv2d_same( 2025-09-07T08:28:46.1968093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1968217Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1968522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1968725Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1969014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1969143Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1969148Z 2025-09-07T08:28:46.1969280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1969566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1969645Z return mod(*inputs) 2025-09-07T08:28:46.1969972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1970064Z x = self.forward_features(x) 2025-09-07T08:28:46.1970425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1970502Z x = self.blocks(x) 2025-09-07T08:28:46.1970853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1970932Z x = self.conv_dw(x) 2025-09-07T08:28:46.1971251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1971388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1971723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1971859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1972262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1972348Z return conv2d_same( 2025-09-07T08:28:46.1972677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1972848Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1972853Z 2025-09-07T08:28:46.1972985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1973275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1973351Z return mod(*inputs) 2025-09-07T08:28:46.1973675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1973808Z x = self.forward_features(x) 2025-09-07T08:28:46.1974169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1974251Z x = self.blocks(x) 2025-09-07T08:28:46.1974603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1974677Z x = self.conv_dw(x) 2025-09-07T08:28:46.1974997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1975135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1975504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1975641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1975956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1976036Z return conv2d_same( 2025-09-07T08:28:46.1976368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.1976496Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.1976800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.1976990Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.1977284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.1977410Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.1977414Z 2025-09-07T08:28:46.1977554Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1977845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1977924Z return mod(*inputs) 2025-09-07T08:28:46.1978252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1978338Z x = self.forward_features(x) 2025-09-07T08:28:46.1978704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1978776Z x = self.blocks(x) 2025-09-07T08:28:46.1979128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1979204Z x = self.conv_dw(x) 2025-09-07T08:28:46.1979524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.1979665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1979998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.1980137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.1980542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.1980626Z return conv2d_same( 2025-09-07T08:28:46.1980961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.1981133Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.1981137Z 2025-09-07T08:28:46.1981239Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1981339Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1981436Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1981570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1981858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1981985Z return mod(*inputs) 2025-09-07T08:28:46.1982311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1982405Z x = self.forward_features(x) 2025-09-07T08:28:46.1982767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1982839Z x = self.blocks(x) 2025-09-07T08:28:46.1983193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.1983269Z x = self.conv_dw(x) 2025-09-07T08:28:46.1983586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.1983705Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.1983709Z 2025-09-07T08:28:46.1983807Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.1983947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1984228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1984306Z return mod(*inputs) 2025-09-07T08:28:46.1984634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1984720Z x = self.forward_features(x) 2025-09-07T08:28:46.1985084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1985158Z x = self.blocks(x) 2025-09-07T08:28:46.1985512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1985584Z x = self.se(x) 2025-09-07T08:28:46.1985933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.1986024Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.1986028Z 2025-09-07T08:28:46.1986164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1986450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1986528Z return mod(*inputs) 2025-09-07T08:28:46.1986855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1986938Z x = self.forward_features(x) 2025-09-07T08:28:46.1987295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1987372Z x = self.blocks(x) 2025-09-07T08:28:46.1987725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1987796Z x = self.se(x) 2025-09-07T08:28:46.1988142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.1988230Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.1988234Z 2025-09-07T08:28:46.1988371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1988752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1988843Z return mod(*inputs) 2025-09-07T08:28:46.1989170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1989255Z x = self.forward_features(x) 2025-09-07T08:28:46.1989618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1989694Z x = self.blocks(x) 2025-09-07T08:28:46.1990050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1990120Z x = self.se(x) 2025-09-07T08:28:46.1990516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.1990596Z x_se = self.act1(x_se) 2025-09-07T08:28:46.1990601Z 2025-09-07T08:28:46.1990738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1991028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1991104Z return mod(*inputs) 2025-09-07T08:28:46.1991431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1991516Z x = self.forward_features(x) 2025-09-07T08:28:46.1991876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1992000Z x = self.blocks(x) 2025-09-07T08:28:46.1992348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1992424Z x = self.se(x) 2025-09-07T08:28:46.1992771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.1992855Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.1992866Z 2025-09-07T08:28:46.1993001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1993285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1993361Z return mod(*inputs) 2025-09-07T08:28:46.1993684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1993773Z x = self.forward_features(x) 2025-09-07T08:28:46.1994135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1994211Z x = self.blocks(x) 2025-09-07T08:28:46.1994566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1994637Z x = self.se(x) 2025-09-07T08:28:46.1994989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1995073Z return x * self.gate(x_se) 2025-09-07T08:28:46.1995078Z 2025-09-07T08:28:46.1995212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1995498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1995574Z return mod(*inputs) 2025-09-07T08:28:46.1995902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1995991Z x = self.forward_features(x) 2025-09-07T08:28:46.1996350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1996428Z x = self.blocks(x) 2025-09-07T08:28:46.1996780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.1996854Z x = self.se(x) 2025-09-07T08:28:46.1997305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.1997398Z return x * self.gate(x_se) 2025-09-07T08:28:46.1997408Z 2025-09-07T08:28:46.1997542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1997825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1997904Z return mod(*inputs) 2025-09-07T08:28:46.1998233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.1998322Z x = self.forward_features(x) 2025-09-07T08:28:46.1998682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.1998801Z x = self.blocks(x) 2025-09-07T08:28:46.1999155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.1999238Z x = self.conv_pwl(x) 2025-09-07T08:28:46.1999243Z 2025-09-07T08:28:46.1999382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.1999665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.1999740Z return mod(*inputs) 2025-09-07T08:28:46.2000066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2000197Z x = self.forward_features(x) 2025-09-07T08:28:46.2000562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2000635Z x = self.blocks(x) 2025-09-07T08:28:46.2000987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:28:46.2001059Z x = self.bn3(x) 2025-09-07T08:28:46.2001365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2001439Z x = F.batch_norm( 2025-09-07T08:28:46.2001443Z 2025-09-07T08:28:46.2001577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2001864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2001938Z return mod(*inputs) 2025-09-07T08:28:46.2002261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2002349Z x = self.forward_features(x) 2025-09-07T08:28:46.2002711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2002790Z x = self.blocks(x) 2025-09-07T08:28:46.2003140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2003215Z x = self.conv_pw(x) 2025-09-07T08:28:46.2003539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2003678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2004009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2004146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2004150Z 2025-09-07T08:28:46.2004286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2004571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2004647Z return mod(*inputs) 2025-09-07T08:28:46.2004977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2005063Z x = self.forward_features(x) 2025-09-07T08:28:46.2005515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2005597Z x = self.blocks(x) 2025-09-07T08:28:46.2005949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2006028Z x = self.conv_pw(x) 2025-09-07T08:28:46.2006346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2006489Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2006817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2006954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2007001Z 2025-09-07T08:28:46.2007104Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2007199Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2007339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2007625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2007701Z return mod(*inputs) 2025-09-07T08:28:46.2008029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2008115Z x = self.forward_features(x) 2025-09-07T08:28:46.2008480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2008605Z x = self.blocks(x) 2025-09-07T08:28:46.2008956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2009037Z x = self.conv_pw(x) 2025-09-07T08:28:46.2009354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2009434Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2009439Z 2025-09-07T08:28:46.2009577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2009865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2009942Z return mod(*inputs) 2025-09-07T08:28:46.2010265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2010354Z x = self.forward_features(x) 2025-09-07T08:28:46.2010718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2010795Z x = self.blocks(x) 2025-09-07T08:28:46.2011144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2011216Z x = self.bn1(x) 2025-09-07T08:28:46.2011522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2011598Z x = F.batch_norm( 2025-09-07T08:28:46.2011603Z 2025-09-07T08:28:46.2011739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2012027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2012103Z return mod(*inputs) 2025-09-07T08:28:46.2012429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2012516Z x = self.forward_features(x) 2025-09-07T08:28:46.2012881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2012955Z x = self.blocks(x) 2025-09-07T08:28:46.2013309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2013383Z x = self.bn1(x) 2025-09-07T08:28:46.2013771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2013849Z x = self.act(x) 2025-09-07T08:28:46.2013854Z 2025-09-07T08:28:46.2013950Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2014084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2014371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2014446Z return mod(*inputs) 2025-09-07T08:28:46.2014771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2014859Z x = self.forward_features(x) 2025-09-07T08:28:46.2015224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2015342Z x = self.blocks(x) 2025-09-07T08:28:46.2015691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2015772Z x = self.conv_dw(x) 2025-09-07T08:28:46.2016088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2016229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2016559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2016696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2016741Z 2025-09-07T08:28:46.2016841Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2016974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2017264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2017341Z return mod(*inputs) 2025-09-07T08:28:46.2017664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2017757Z x = self.forward_features(x) 2025-09-07T08:28:46.2018119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2018195Z x = self.blocks(x) 2025-09-07T08:28:46.2018545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2018623Z x = self.conv_dw(x) 2025-09-07T08:28:46.2018936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2019075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2019408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2019546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2019550Z 2025-09-07T08:28:46.2019649Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2019786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2020070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2020147Z return mod(*inputs) 2025-09-07T08:28:46.2020469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2020557Z x = self.forward_features(x) 2025-09-07T08:28:46.2020922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2020996Z x = self.blocks(x) 2025-09-07T08:28:46.2021349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2021427Z x = self.conv_dw(x) 2025-09-07T08:28:46.2021744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2021967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2022303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2022443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2022448Z 2025-09-07T08:28:46.2022544Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2022681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2022969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2023047Z return mod(*inputs) 2025-09-07T08:28:46.2023373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2023503Z x = self.forward_features(x) 2025-09-07T08:28:46.2023867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2023942Z x = self.blocks(x) 2025-09-07T08:28:46.2024295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2024370Z x = self.conv_dw(x) 2025-09-07T08:28:46.2024686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2024825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2025197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2025335Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2025342Z 2025-09-07T08:28:46.2025439Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2025534Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2025631Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2025725Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2025865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2026151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2026226Z return mod(*inputs) 2025-09-07T08:28:46.2026554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2026638Z x = self.forward_features(x) 2025-09-07T08:28:46.2027004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2027076Z x = self.blocks(x) 2025-09-07T08:28:46.2027428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2027506Z x = self.conv_dw(x) 2025-09-07T08:28:46.2027822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2027907Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2027912Z 2025-09-07T08:28:46.2028008Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2028146Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2028430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2028506Z return mod(*inputs) 2025-09-07T08:28:46.2028835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2028923Z x = self.forward_features(x) 2025-09-07T08:28:46.2029287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2029362Z x = self.blocks(x) 2025-09-07T08:28:46.2029714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2029785Z x = self.se(x) 2025-09-07T08:28:46.2030251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2030349Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2030354Z 2025-09-07T08:28:46.2030489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2030775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2030853Z return mod(*inputs) 2025-09-07T08:28:46.2031181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2031268Z x = self.forward_features(x) 2025-09-07T08:28:46.2031628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2031792Z x = self.blocks(x) 2025-09-07T08:28:46.2032147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2032217Z x = self.se(x) 2025-09-07T08:28:46.2032568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2032653Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2032657Z 2025-09-07T08:28:46.2032795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2033078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2033201Z return mod(*inputs) 2025-09-07T08:28:46.2033527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2033613Z x = self.forward_features(x) 2025-09-07T08:28:46.2033979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2034051Z x = self.blocks(x) 2025-09-07T08:28:46.2034404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2034476Z x = self.se(x) 2025-09-07T08:28:46.2034821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2034902Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2034907Z 2025-09-07T08:28:46.2035040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2035328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2035403Z return mod(*inputs) 2025-09-07T08:28:46.2035727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2035818Z x = self.forward_features(x) 2025-09-07T08:28:46.2036179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2036258Z x = self.blocks(x) 2025-09-07T08:28:46.2036609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2036678Z x = self.se(x) 2025-09-07T08:28:46.2037028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2037114Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2037118Z 2025-09-07T08:28:46.2037256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2037538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2037613Z return mod(*inputs) 2025-09-07T08:28:46.2037941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2038026Z x = self.forward_features(x) 2025-09-07T08:28:46.2038475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2038556Z x = self.blocks(x) 2025-09-07T08:28:46.2038907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2038979Z x = self.se(x) 2025-09-07T08:28:46.2039324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2039410Z return x * self.gate(x_se) 2025-09-07T08:28:46.2039417Z 2025-09-07T08:28:46.2039553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2039840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2039961Z return mod(*inputs) 2025-09-07T08:28:46.2040285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2040373Z x = self.forward_features(x) 2025-09-07T08:28:46.2040738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2040815Z x = self.blocks(x) 2025-09-07T08:28:46.2041163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2041232Z x = self.se(x) 2025-09-07T08:28:46.2041581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2041717Z return x * self.gate(x_se) 2025-09-07T08:28:46.2041721Z 2025-09-07T08:28:46.2041822Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2041956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2042244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2042322Z return mod(*inputs) 2025-09-07T08:28:46.2042657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2042746Z x = self.forward_features(x) 2025-09-07T08:28:46.2043108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2043178Z x = self.blocks(x) 2025-09-07T08:28:46.2043529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2043607Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2043926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2044063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2044396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2044531Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2044535Z 2025-09-07T08:28:46.2044636Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2044776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2045061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2045139Z return mod(*inputs) 2025-09-07T08:28:46.2045461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2045549Z x = self.forward_features(x) 2025-09-07T08:28:46.2045910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2045984Z x = self.blocks(x) 2025-09-07T08:28:46.2046338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2046414Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2046828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2046973Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2047300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2047438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2047443Z 2025-09-07T08:28:46.2047538Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2047640Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2047774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2048058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2048178Z return mod(*inputs) 2025-09-07T08:28:46.2048502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2048591Z x = self.forward_features(x) 2025-09-07T08:28:46.2048955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2049028Z x = self.blocks(x) 2025-09-07T08:28:46.2049383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2049460Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2049780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2049896Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2049900Z 2025-09-07T08:28:46.2050035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2050328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2050405Z return mod(*inputs) 2025-09-07T08:28:46.2050736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2050823Z x = self.forward_features(x) 2025-09-07T08:28:46.2051185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2051262Z x = self.blocks(x) 2025-09-07T08:28:46.2051613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2051703Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2051710Z 2025-09-07T08:28:46.2051847Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2052131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2052211Z return mod(*inputs) 2025-09-07T08:28:46.2052535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2052626Z x = self.forward_features(x) 2025-09-07T08:28:46.2052991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2053068Z x = self.blocks(x) 2025-09-07T08:28:46.2053420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2053495Z x = self.conv_pw(x) 2025-09-07T08:28:46.2053817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2053958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2054290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2054427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2054432Z 2025-09-07T08:28:46.2054566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2054919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2055009Z return mod(*inputs) 2025-09-07T08:28:46.2055338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2055424Z x = self.forward_features(x) 2025-09-07T08:28:46.2055787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2055865Z x = self.blocks(x) 2025-09-07T08:28:46.2056214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2056340Z x = self.conv_pw(x) 2025-09-07T08:28:46.2056893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2057064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2057438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2057592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2057596Z 2025-09-07T08:28:46.2072809Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2072976Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2073124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2073432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2073713Z return mod(*inputs) 2025-09-07T08:28:46.2074064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2074156Z x = self.forward_features(x) 2025-09-07T08:28:46.2074528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2074606Z x = self.blocks(x) 2025-09-07T08:28:46.2074971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2075048Z x = self.conv_pw(x) 2025-09-07T08:28:46.2075368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2075449Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2075455Z 2025-09-07T08:28:46.2075592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2075884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2075962Z return mod(*inputs) 2025-09-07T08:28:46.2076289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2076378Z x = self.forward_features(x) 2025-09-07T08:28:46.2076744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2076820Z x = self.blocks(x) 2025-09-07T08:28:46.2077178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2077248Z x = self.bn1(x) 2025-09-07T08:28:46.2077556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2077627Z x = F.batch_norm( 2025-09-07T08:28:46.2077631Z 2025-09-07T08:28:46.2077771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2078061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2078136Z return mod(*inputs) 2025-09-07T08:28:46.2078470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2078555Z x = self.forward_features(x) 2025-09-07T08:28:46.2079063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2079153Z x = self.blocks(x) 2025-09-07T08:28:46.2079509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2079582Z x = self.bn1(x) 2025-09-07T08:28:46.2079886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2079957Z x = self.act(x) 2025-09-07T08:28:46.2079964Z 2025-09-07T08:28:46.2080062Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2080197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2080487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2080636Z return mod(*inputs) 2025-09-07T08:28:46.2080967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2081055Z x = self.forward_features(x) 2025-09-07T08:28:46.2081421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2081496Z x = self.blocks(x) 2025-09-07T08:28:46.2081849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2081925Z x = self.conv_dw(x) 2025-09-07T08:28:46.2082244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2082435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2082775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2082917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2082922Z 2025-09-07T08:28:46.2083020Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2083160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2083450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2083526Z return mod(*inputs) 2025-09-07T08:28:46.2083851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2083938Z x = self.forward_features(x) 2025-09-07T08:28:46.2084302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2084379Z x = self.blocks(x) 2025-09-07T08:28:46.2084732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2084808Z x = self.conv_dw(x) 2025-09-07T08:28:46.2085131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2085272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2085606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2085743Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2085747Z 2025-09-07T08:28:46.2085844Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2085982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2086272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2086349Z return mod(*inputs) 2025-09-07T08:28:46.2086674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2086760Z x = self.forward_features(x) 2025-09-07T08:28:46.2087124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2087279Z x = self.blocks(x) 2025-09-07T08:28:46.2087646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2087722Z x = self.conv_dw(x) 2025-09-07T08:28:46.2088045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2088183Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2088516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2088657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2088661Z 2025-09-07T08:28:46.2088800Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2088938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2089228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2089306Z return mod(*inputs) 2025-09-07T08:28:46.2089633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2089719Z x = self.forward_features(x) 2025-09-07T08:28:46.2090085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2090157Z x = self.blocks(x) 2025-09-07T08:28:46.2090509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2090652Z x = self.conv_dw(x) 2025-09-07T08:28:46.2090970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2091113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2091443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2091585Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2091590Z 2025-09-07T08:28:46.2091687Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2091781Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2091878Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2091972Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2092108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2092399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2092474Z return mod(*inputs) 2025-09-07T08:28:46.2092800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2092886Z x = self.forward_features(x) 2025-09-07T08:28:46.2093251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2093328Z x = self.blocks(x) 2025-09-07T08:28:46.2093680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2093756Z x = self.conv_dw(x) 2025-09-07T08:28:46.2094071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2094154Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2094159Z 2025-09-07T08:28:46.2094257Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2094390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2094678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2094756Z return mod(*inputs) 2025-09-07T08:28:46.2095083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2095167Z x = self.forward_features(x) 2025-09-07T08:28:46.2095601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2095688Z x = self.blocks(x) 2025-09-07T08:28:46.2096040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2096114Z x = self.se(x) 2025-09-07T08:28:46.2096460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2096550Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2096559Z 2025-09-07T08:28:46.2096692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2096978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2097093Z return mod(*inputs) 2025-09-07T08:28:46.2097419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2097511Z x = self.forward_features(x) 2025-09-07T08:28:46.2097874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2097948Z x = self.blocks(x) 2025-09-07T08:28:46.2098302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2098370Z x = self.se(x) 2025-09-07T08:28:46.2098759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2098844Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2098848Z 2025-09-07T08:28:46.2098983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2099272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2099347Z return mod(*inputs) 2025-09-07T08:28:46.2099677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2099761Z x = self.forward_features(x) 2025-09-07T08:28:46.2100129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2100202Z x = self.blocks(x) 2025-09-07T08:28:46.2100550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2100626Z x = self.se(x) 2025-09-07T08:28:46.2100971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2101053Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2101059Z 2025-09-07T08:28:46.2101195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2101480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2101557Z return mod(*inputs) 2025-09-07T08:28:46.2101882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2101971Z x = self.forward_features(x) 2025-09-07T08:28:46.2102330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2102405Z x = self.blocks(x) 2025-09-07T08:28:46.2102757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2102828Z x = self.se(x) 2025-09-07T08:28:46.2103178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2103266Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2103270Z 2025-09-07T08:28:46.2103408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2103761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2103843Z return mod(*inputs) 2025-09-07T08:28:46.2104172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2104256Z x = self.forward_features(x) 2025-09-07T08:28:46.2104619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2104691Z x = self.blocks(x) 2025-09-07T08:28:46.2105041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2105113Z x = self.se(x) 2025-09-07T08:28:46.2105458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2105609Z return x * self.gate(x_se) 2025-09-07T08:28:46.2105613Z 2025-09-07T08:28:46.2105747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2106037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2106112Z return mod(*inputs) 2025-09-07T08:28:46.2106436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2106523Z x = self.forward_features(x) 2025-09-07T08:28:46.2106882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2106992Z x = self.blocks(x) 2025-09-07T08:28:46.2107346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2107415Z x = self.se(x) 2025-09-07T08:28:46.2107764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2107846Z return x * self.gate(x_se) 2025-09-07T08:28:46.2107850Z 2025-09-07T08:28:46.2107952Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2108088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2108372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2108449Z return mod(*inputs) 2025-09-07T08:28:46.2108775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2108863Z x = self.forward_features(x) 2025-09-07T08:28:46.2109223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2109295Z x = self.blocks(x) 2025-09-07T08:28:46.2109650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2109727Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2110049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2110187Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2110519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2110655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2110659Z 2025-09-07T08:28:46.2110756Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2110895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2111179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2111256Z return mod(*inputs) 2025-09-07T08:28:46.2111583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2111667Z x = self.forward_features(x) 2025-09-07T08:28:46.2112130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2112210Z x = self.blocks(x) 2025-09-07T08:28:46.2112565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2112642Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2112957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2113099Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2113427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2113563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2113610Z 2025-09-07T08:28:46.2113709Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2113807Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2113945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2114231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2114309Z return mod(*inputs) 2025-09-07T08:28:46.2114635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2114722Z x = self.forward_features(x) 2025-09-07T08:28:46.2115080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2115201Z x = self.blocks(x) 2025-09-07T08:28:46.2115556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2115636Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2115954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2116033Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2116037Z 2025-09-07T08:28:46.2116174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2116463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2116536Z return mod(*inputs) 2025-09-07T08:28:46.2116863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2116949Z x = self.forward_features(x) 2025-09-07T08:28:46.2117311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2117387Z x = self.blocks(x) 2025-09-07T08:28:46.2117736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2117827Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2117832Z 2025-09-07T08:28:46.2117965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2118256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2118332Z return mod(*inputs) 2025-09-07T08:28:46.2118655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2118744Z x = self.forward_features(x) 2025-09-07T08:28:46.2119103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2119179Z x = self.blocks(x) 2025-09-07T08:28:46.2119528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2119601Z x = self.conv_pw(x) 2025-09-07T08:28:46.2119920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2120056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2120476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2120621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2120625Z 2025-09-07T08:28:46.2120759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2121050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2121125Z return mod(*inputs) 2025-09-07T08:28:46.2121453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2121537Z x = self.forward_features(x) 2025-09-07T08:28:46.2121903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2122026Z x = self.blocks(x) 2025-09-07T08:28:46.2122383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2122461Z x = self.conv_pw(x) 2025-09-07T08:28:46.2122775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2122914Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2123243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2123418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2123422Z 2025-09-07T08:28:46.2123523Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2123618Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2123757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2124041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2124115Z return mod(*inputs) 2025-09-07T08:28:46.2124445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2124532Z x = self.forward_features(x) 2025-09-07T08:28:46.2124897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2124970Z x = self.blocks(x) 2025-09-07T08:28:46.2125318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2125399Z x = self.conv_pw(x) 2025-09-07T08:28:46.2125715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2125797Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2125804Z 2025-09-07T08:28:46.2125937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2126225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2126302Z return mod(*inputs) 2025-09-07T08:28:46.2126623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2126712Z x = self.forward_features(x) 2025-09-07T08:28:46.2127071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2127146Z x = self.blocks(x) 2025-09-07T08:28:46.2127495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2127566Z x = self.bn1(x) 2025-09-07T08:28:46.2127871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2127944Z x = F.batch_norm( 2025-09-07T08:28:46.2127949Z 2025-09-07T08:28:46.2128083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2128458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2128541Z return mod(*inputs) 2025-09-07T08:28:46.2128870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2128953Z x = self.forward_features(x) 2025-09-07T08:28:46.2129314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2129385Z x = self.blocks(x) 2025-09-07T08:28:46.2129736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2129809Z x = self.bn1(x) 2025-09-07T08:28:46.2130110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2130225Z x = self.act(x) 2025-09-07T08:28:46.2130230Z 2025-09-07T08:28:46.2130325Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2130466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2130752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2130826Z return mod(*inputs) 2025-09-07T08:28:46.2131152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2131237Z x = self.forward_features(x) 2025-09-07T08:28:46.2131599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2131714Z x = self.blocks(x) 2025-09-07T08:28:46.2132066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2132146Z x = self.conv_dw(x) 2025-09-07T08:28:46.2132462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2132609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2132940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2133074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2133078Z 2025-09-07T08:28:46.2133177Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2133312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2133600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2133677Z return mod(*inputs) 2025-09-07T08:28:46.2134000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2134090Z x = self.forward_features(x) 2025-09-07T08:28:46.2134454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2134530Z x = self.blocks(x) 2025-09-07T08:28:46.2134885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2134961Z x = self.conv_dw(x) 2025-09-07T08:28:46.2135275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2135413Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2135744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2135883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2135888Z 2025-09-07T08:28:46.2135986Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2136125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2136411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2136590Z return mod(*inputs) 2025-09-07T08:28:46.2136920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2137008Z x = self.forward_features(x) 2025-09-07T08:28:46.2137366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2137440Z x = self.blocks(x) 2025-09-07T08:28:46.2137795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2137871Z x = self.conv_dw(x) 2025-09-07T08:28:46.2138190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2138368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2138698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2138838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2138843Z 2025-09-07T08:28:46.2138940Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2139077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2139361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2139438Z return mod(*inputs) 2025-09-07T08:28:46.2139762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2139884Z x = self.forward_features(x) 2025-09-07T08:28:46.2140248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2140324Z x = self.blocks(x) 2025-09-07T08:28:46.2140677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2140753Z x = self.conv_dw(x) 2025-09-07T08:28:46.2141070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2141211Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2141539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2141678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2141684Z 2025-09-07T08:28:46.2141781Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2141878Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2141972Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2142066Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2142202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2142489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2142568Z return mod(*inputs) 2025-09-07T08:28:46.2142892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2142978Z x = self.forward_features(x) 2025-09-07T08:28:46.2143342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2143415Z x = self.blocks(x) 2025-09-07T08:28:46.2143770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2143847Z x = self.conv_dw(x) 2025-09-07T08:28:46.2144162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2144244Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2144248Z 2025-09-07T08:28:46.2144345Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2144483Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2144827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2144908Z return mod(*inputs) 2025-09-07T08:28:46.2145236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2145333Z x = self.forward_features(x) 2025-09-07T08:28:46.2145694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2145776Z x = self.blocks(x) 2025-09-07T08:28:46.2146127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2146232Z x = self.se(x) 2025-09-07T08:28:46.2146581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2146671Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2146675Z 2025-09-07T08:28:46.2146814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2147099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2147178Z return mod(*inputs) 2025-09-07T08:28:46.2147500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2147589Z x = self.forward_features(x) 2025-09-07T08:28:46.2148000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2148074Z x = self.blocks(x) 2025-09-07T08:28:46.2148427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2148499Z x = self.se(x) 2025-09-07T08:28:46.2148846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2148935Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2148940Z 2025-09-07T08:28:46.2149075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2149363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2149438Z return mod(*inputs) 2025-09-07T08:28:46.2149768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2149856Z x = self.forward_features(x) 2025-09-07T08:28:46.2150220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2150294Z x = self.blocks(x) 2025-09-07T08:28:46.2150645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2150717Z x = self.se(x) 2025-09-07T08:28:46.2151066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2151149Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2151153Z 2025-09-07T08:28:46.2151287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2151571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2151651Z return mod(*inputs) 2025-09-07T08:28:46.2151976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2152067Z x = self.forward_features(x) 2025-09-07T08:28:46.2152430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2152503Z x = self.blocks(x) 2025-09-07T08:28:46.2152857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2152925Z x = self.se(x) 2025-09-07T08:28:46.2153355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2153450Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2153455Z 2025-09-07T08:28:46.2153591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2153878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2153953Z return mod(*inputs) 2025-09-07T08:28:46.2154281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2154366Z x = self.forward_features(x) 2025-09-07T08:28:46.2154729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2154842Z x = self.blocks(x) 2025-09-07T08:28:46.2155195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2155269Z x = self.se(x) 2025-09-07T08:28:46.2155618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2155705Z return x * self.gate(x_se) 2025-09-07T08:28:46.2155709Z 2025-09-07T08:28:46.2155843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2156127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2156238Z return mod(*inputs) 2025-09-07T08:28:46.2156563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2156649Z x = self.forward_features(x) 2025-09-07T08:28:46.2157014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2157087Z x = self.blocks(x) 2025-09-07T08:28:46.2157443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2157513Z x = self.se(x) 2025-09-07T08:28:46.2157861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2157943Z return x * self.gate(x_se) 2025-09-07T08:28:46.2157948Z 2025-09-07T08:28:46.2158046Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2158182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2158471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2158551Z return mod(*inputs) 2025-09-07T08:28:46.2158877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2158965Z x = self.forward_features(x) 2025-09-07T08:28:46.2159328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2159402Z x = self.blocks(x) 2025-09-07T08:28:46.2159755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2159833Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2160152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2160290Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2160622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2160761Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2160767Z 2025-09-07T08:28:46.2160863Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2161000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2161343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2161430Z return mod(*inputs) 2025-09-07T08:28:46.2161765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2161849Z x = self.forward_features(x) 2025-09-07T08:28:46.2162216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2162291Z x = self.blocks(x) 2025-09-07T08:28:46.2162644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2162721Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2163041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2163213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2163616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2163759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2163764Z 2025-09-07T08:28:46.2163861Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2163957Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2164095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2164382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2164551Z return mod(*inputs) 2025-09-07T08:28:46.2164877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2164965Z x = self.forward_features(x) 2025-09-07T08:28:46.2165330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2165404Z x = self.blocks(x) 2025-09-07T08:28:46.2165763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2165841Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2166158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2166240Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2166244Z 2025-09-07T08:28:46.2166379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2166668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2166743Z return mod(*inputs) 2025-09-07T08:28:46.2167070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2167157Z x = self.forward_features(x) 2025-09-07T08:28:46.2167518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2167599Z x = self.blocks(x) 2025-09-07T08:28:46.2167949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2168038Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2168042Z 2025-09-07T08:28:46.2168176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2168460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2168540Z return mod(*inputs) 2025-09-07T08:28:46.2168864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2168952Z x = self.forward_features(x) 2025-09-07T08:28:46.2169312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2169386Z x = self.blocks(x) 2025-09-07T08:28:46.2169873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2169958Z x = self.conv_pw(x) 2025-09-07T08:28:46.2169962Z 2025-09-07T08:28:46.2170099Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2170384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2170461Z return mod(*inputs) 2025-09-07T08:28:46.2170785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2170873Z x = self.forward_features(x) 2025-09-07T08:28:46.2171235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2171369Z x = self.blocks(x) 2025-09-07T08:28:46.2171722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2171796Z x = self.conv_dw(x) 2025-09-07T08:28:46.2171805Z 2025-09-07T08:28:46.2171901Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2172038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2172322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2172399Z return mod(*inputs) 2025-09-07T08:28:46.2172722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2172853Z x = self.forward_features(x) 2025-09-07T08:28:46.2173217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2173292Z x = self.blocks(x) 2025-09-07T08:28:46.2173645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2173715Z x = self.se(x) 2025-09-07T08:28:46.2174063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2174154Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2174158Z 2025-09-07T08:28:46.2174292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2174581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2174657Z return mod(*inputs) 2025-09-07T08:28:46.2174987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2175071Z x = self.forward_features(x) 2025-09-07T08:28:46.2175431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2175508Z x = self.blocks(x) 2025-09-07T08:28:46.2175860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2175934Z x = self.se(x) 2025-09-07T08:28:46.2176282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2176365Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2176370Z 2025-09-07T08:28:46.2176506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2176791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2176870Z return mod(*inputs) 2025-09-07T08:28:46.2177193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2177277Z x = self.forward_features(x) 2025-09-07T08:28:46.2177641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2177714Z x = self.blocks(x) 2025-09-07T08:28:46.2178133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2178207Z x = self.se(x) 2025-09-07T08:28:46.2178553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2178633Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2178638Z 2025-09-07T08:28:46.2178770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2179058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2179136Z return mod(*inputs) 2025-09-07T08:28:46.2179461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2179587Z x = self.forward_features(x) 2025-09-07T08:28:46.2179948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2180024Z x = self.blocks(x) 2025-09-07T08:28:46.2180379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2180451Z x = self.se(x) 2025-09-07T08:28:46.2180797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2180882Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2180887Z 2025-09-07T08:28:46.2181024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2181350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2181427Z return mod(*inputs) 2025-09-07T08:28:46.2181749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2181836Z x = self.forward_features(x) 2025-09-07T08:28:46.2182202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2182276Z x = self.blocks(x) 2025-09-07T08:28:46.2182629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2182698Z x = self.se(x) 2025-09-07T08:28:46.2183048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2183131Z return x * self.gate(x_se) 2025-09-07T08:28:46.2183138Z 2025-09-07T08:28:46.2183271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2183558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2183634Z return mod(*inputs) 2025-09-07T08:28:46.2183959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2184044Z x = self.forward_features(x) 2025-09-07T08:28:46.2184409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2184485Z x = self.blocks(x) 2025-09-07T08:28:46.2184837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2184908Z x = self.se(x) 2025-09-07T08:28:46.2185255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2185340Z return x * self.gate(x_se) 2025-09-07T08:28:46.2185344Z 2025-09-07T08:28:46.2185481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2185766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2185845Z return mod(*inputs) 2025-09-07T08:28:46.2186169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2186322Z x = self.forward_features(x) 2025-09-07T08:28:46.2186689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2186762Z x = self.blocks(x) 2025-09-07T08:28:46.2187114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2187192Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2187197Z 2025-09-07T08:28:46.2187337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2187622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2187698Z return mod(*inputs) 2025-09-07T08:28:46.2188058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2188145Z x = self.forward_features(x) 2025-09-07T08:28:46.2188512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2188587Z x = self.blocks(x) 2025-09-07T08:28:46.2188936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:28:46.2189009Z x = self.bn3(x) 2025-09-07T08:28:46.2189314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2189387Z x = F.batch_norm( 2025-09-07T08:28:46.2189423Z 2025-09-07T08:28:46.2189560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2189843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2189923Z return mod(*inputs) 2025-09-07T08:28:46.2190246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2190333Z x = self.forward_features(x) 2025-09-07T08:28:46.2190697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2190769Z x = self.blocks(x) 2025-09-07T08:28:46.2191121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2191196Z x = self.conv_pw(x) 2025-09-07T08:28:46.2191514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2191655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2191988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2192128Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2192132Z 2025-09-07T08:28:46.2192266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2192557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2192633Z return mod(*inputs) 2025-09-07T08:28:46.2192960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2193045Z x = self.forward_features(x) 2025-09-07T08:28:46.2193405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2193482Z x = self.blocks(x) 2025-09-07T08:28:46.2193833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2193912Z x = self.conv_pw(x) 2025-09-07T08:28:46.2194227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2194367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2194790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2194931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2194935Z 2025-09-07T08:28:46.2195035Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2195130Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2195268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2195554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2195632Z return mod(*inputs) 2025-09-07T08:28:46.2195960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2196095Z x = self.forward_features(x) 2025-09-07T08:28:46.2196459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2196532Z x = self.blocks(x) 2025-09-07T08:28:46.2196885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2196963Z x = self.conv_pw(x) 2025-09-07T08:28:46.2197278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2197357Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2197362Z 2025-09-07T08:28:46.2197494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2197834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2197913Z return mod(*inputs) 2025-09-07T08:28:46.2198238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2198327Z x = self.forward_features(x) 2025-09-07T08:28:46.2198687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2198767Z x = self.blocks(x) 2025-09-07T08:28:46.2199116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2199187Z x = self.bn1(x) 2025-09-07T08:28:46.2199492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2199564Z x = F.batch_norm( 2025-09-07T08:28:46.2199568Z 2025-09-07T08:28:46.2199707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2199992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2200065Z return mod(*inputs) 2025-09-07T08:28:46.2200395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2200480Z x = self.forward_features(x) 2025-09-07T08:28:46.2200846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2200919Z x = self.blocks(x) 2025-09-07T08:28:46.2201267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2201340Z x = self.bn1(x) 2025-09-07T08:28:46.2201641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2201713Z x = self.act(x) 2025-09-07T08:28:46.2201720Z 2025-09-07T08:28:46.2201815Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2201949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2202235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2202312Z return mod(*inputs) 2025-09-07T08:28:46.2202638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2202807Z x = self.forward_features(x) 2025-09-07T08:28:46.2203174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2203252Z x = self.blocks(x) 2025-09-07T08:28:46.2203602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2203678Z x = self.conv_dw(x) 2025-09-07T08:28:46.2203994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2204137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2204466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2204645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2204649Z 2025-09-07T08:28:46.2204748Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2204885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2205173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2205248Z return mod(*inputs) 2025-09-07T08:28:46.2205570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2205656Z x = self.forward_features(x) 2025-09-07T08:28:46.2206017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2206138Z x = self.blocks(x) 2025-09-07T08:28:46.2206486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2206561Z x = self.conv_dw(x) 2025-09-07T08:28:46.2206880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2207022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2207354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2207493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2207497Z 2025-09-07T08:28:46.2207597Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2207730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2208019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2208098Z return mod(*inputs) 2025-09-07T08:28:46.2208424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2208514Z x = self.forward_features(x) 2025-09-07T08:28:46.2208872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2208950Z x = self.blocks(x) 2025-09-07T08:28:46.2209305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2209379Z x = self.conv_dw(x) 2025-09-07T08:28:46.2209697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2209835Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2210166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2210306Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2210311Z 2025-09-07T08:28:46.2210408Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2210545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2210831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2210991Z return mod(*inputs) 2025-09-07T08:28:46.2211323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2211407Z x = self.forward_features(x) 2025-09-07T08:28:46.2211772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2211845Z x = self.blocks(x) 2025-09-07T08:28:46.2212198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2212274Z x = self.conv_dw(x) 2025-09-07T08:28:46.2212591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2212770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2213098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2213242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2213247Z 2025-09-07T08:28:46.2213344Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2213440Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2213539Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2213632Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2213768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2214092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2214167Z return mod(*inputs) 2025-09-07T08:28:46.2214493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2214579Z x = self.forward_features(x) 2025-09-07T08:28:46.2214942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2215020Z x = self.blocks(x) 2025-09-07T08:28:46.2215370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2215446Z x = self.conv_dw(x) 2025-09-07T08:28:46.2215760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2215839Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2215843Z 2025-09-07T08:28:46.2215942Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2216079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2216365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2216441Z return mod(*inputs) 2025-09-07T08:28:46.2216769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2216854Z x = self.forward_features(x) 2025-09-07T08:28:46.2217219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2217292Z x = self.blocks(x) 2025-09-07T08:28:46.2217643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2217715Z x = self.se(x) 2025-09-07T08:28:46.2218060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2218154Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2218158Z 2025-09-07T08:28:46.2218292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2218584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2218667Z return mod(*inputs) 2025-09-07T08:28:46.2218991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2219147Z x = self.forward_features(x) 2025-09-07T08:28:46.2219510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2219583Z x = self.blocks(x) 2025-09-07T08:28:46.2219936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2220005Z x = self.se(x) 2025-09-07T08:28:46.2220356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2220440Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2220444Z 2025-09-07T08:28:46.2220582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2220901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2220977Z return mod(*inputs) 2025-09-07T08:28:46.2221310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2221397Z x = self.forward_features(x) 2025-09-07T08:28:46.2221759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2221832Z x = self.blocks(x) 2025-09-07T08:28:46.2222182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2222289Z x = self.se(x) 2025-09-07T08:28:46.2222635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2222716Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2222723Z 2025-09-07T08:28:46.2222859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2223142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2223219Z return mod(*inputs) 2025-09-07T08:28:46.2223548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2223637Z x = self.forward_features(x) 2025-09-07T08:28:46.2223998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2224074Z x = self.blocks(x) 2025-09-07T08:28:46.2224421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2224491Z x = self.se(x) 2025-09-07T08:28:46.2224841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2224929Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2224933Z 2025-09-07T08:28:46.2225070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2225357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2225432Z return mod(*inputs) 2025-09-07T08:28:46.2225759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2225844Z x = self.forward_features(x) 2025-09-07T08:28:46.2226207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2226280Z x = self.blocks(x) 2025-09-07T08:28:46.2226633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2226704Z x = self.se(x) 2025-09-07T08:28:46.2227047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2227135Z return x * self.gate(x_se) 2025-09-07T08:28:46.2227140Z 2025-09-07T08:28:46.2227276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2227638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2227725Z return mod(*inputs) 2025-09-07T08:28:46.2228051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2228139Z x = self.forward_features(x) 2025-09-07T08:28:46.2228497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2228577Z x = self.blocks(x) 2025-09-07T08:28:46.2228927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2229045Z x = self.se(x) 2025-09-07T08:28:46.2229394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2229476Z return x * self.gate(x_se) 2025-09-07T08:28:46.2229480Z 2025-09-07T08:28:46.2229582Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2229717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2230003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2230081Z return mod(*inputs) 2025-09-07T08:28:46.2230405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2230522Z x = self.forward_features(x) 2025-09-07T08:28:46.2230882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2230955Z x = self.blocks(x) 2025-09-07T08:28:46.2231312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2231389Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2231711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2231850Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2232179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2232320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2232325Z 2025-09-07T08:28:46.2232421Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2232561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2232845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2232923Z return mod(*inputs) 2025-09-07T08:28:46.2233249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2233332Z x = self.forward_features(x) 2025-09-07T08:28:46.2233699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2233772Z x = self.blocks(x) 2025-09-07T08:28:46.2234125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2234202Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2234519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2234662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2234994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2235134Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2235140Z 2025-09-07T08:28:46.2235237Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2235331Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2235467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2235833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2235920Z return mod(*inputs) 2025-09-07T08:28:46.2236247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2236334Z x = self.forward_features(x) 2025-09-07T08:28:46.2236695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2236771Z x = self.blocks(x) 2025-09-07T08:28:46.2237122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2237239Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2237556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2237634Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2237639Z 2025-09-07T08:28:46.2237776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2238065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2238140Z return mod(*inputs) 2025-09-07T08:28:46.2238468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2238554Z x = self.forward_features(x) 2025-09-07T08:28:46.2238954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2239030Z x = self.blocks(x) 2025-09-07T08:28:46.2239379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2239472Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2239477Z 2025-09-07T08:28:46.2239610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2239899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2239977Z return mod(*inputs) 2025-09-07T08:28:46.2240300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2240388Z x = self.forward_features(x) 2025-09-07T08:28:46.2240750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2240827Z x = self.blocks(x) 2025-09-07T08:28:46.2241178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2241252Z x = self.conv_pw(x) 2025-09-07T08:28:46.2241574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2241712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2242047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2242185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2242189Z 2025-09-07T08:28:46.2242324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2242611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2242687Z return mod(*inputs) 2025-09-07T08:28:46.2243018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2243104Z x = self.forward_features(x) 2025-09-07T08:28:46.2243464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2243543Z x = self.blocks(x) 2025-09-07T08:28:46.2243964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2244056Z x = self.conv_pw(x) 2025-09-07T08:28:46.2244375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2244515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2244846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2244985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2244989Z 2025-09-07T08:28:46.2245088Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2245183Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2245355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2245641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2245715Z return mod(*inputs) 2025-09-07T08:28:46.2246048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2246134Z x = self.forward_features(x) 2025-09-07T08:28:46.2246495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2246568Z x = self.blocks(x) 2025-09-07T08:28:46.2246916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2247025Z x = self.conv_pw(x) 2025-09-07T08:28:46.2247341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2247421Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2247428Z 2025-09-07T08:28:46.2247562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2247850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2247928Z return mod(*inputs) 2025-09-07T08:28:46.2248254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2248343Z x = self.forward_features(x) 2025-09-07T08:28:46.2248707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2248782Z x = self.blocks(x) 2025-09-07T08:28:46.2249133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2249205Z x = self.bn1(x) 2025-09-07T08:28:46.2249509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2249583Z x = F.batch_norm( 2025-09-07T08:28:46.2249588Z 2025-09-07T08:28:46.2249724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2250011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2250085Z return mod(*inputs) 2025-09-07T08:28:46.2250412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2250496Z x = self.forward_features(x) 2025-09-07T08:28:46.2250858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2250931Z x = self.blocks(x) 2025-09-07T08:28:46.2251284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2251356Z x = self.bn1(x) 2025-09-07T08:28:46.2251658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2251732Z x = self.act(x) 2025-09-07T08:28:46.2251737Z 2025-09-07T08:28:46.2251832Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2252032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2252331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2252405Z return mod(*inputs) 2025-09-07T08:28:46.2252732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2252817Z x = self.forward_features(x) 2025-09-07T08:28:46.2253182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2253259Z x = self.blocks(x) 2025-09-07T08:28:46.2253608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2253724Z x = self.conv_dw(x) 2025-09-07T08:28:46.2254038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2254183Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2254514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2254651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2254656Z 2025-09-07T08:28:46.2254755Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2254890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2255178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2255288Z return mod(*inputs) 2025-09-07T08:28:46.2255611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2255700Z x = self.forward_features(x) 2025-09-07T08:28:46.2256060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2256136Z x = self.blocks(x) 2025-09-07T08:28:46.2256489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2256564Z x = self.conv_dw(x) 2025-09-07T08:28:46.2256881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2257017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2257349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2257490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2257494Z 2025-09-07T08:28:46.2257595Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2257732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2258016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2258099Z return mod(*inputs) 2025-09-07T08:28:46.2258427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2258512Z x = self.forward_features(x) 2025-09-07T08:28:46.2258872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2258945Z x = self.blocks(x) 2025-09-07T08:28:46.2259297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2259375Z x = self.conv_dw(x) 2025-09-07T08:28:46.2259694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2259833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2260162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2260386Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2260390Z 2025-09-07T08:28:46.2260492Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2260630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2260916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2260993Z return mod(*inputs) 2025-09-07T08:28:46.2261316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2261403Z x = self.forward_features(x) 2025-09-07T08:28:46.2261765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2261877Z x = self.blocks(x) 2025-09-07T08:28:46.2262231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2262304Z x = self.conv_dw(x) 2025-09-07T08:28:46.2262627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2262768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2263096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2263235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2263346Z 2025-09-07T08:28:46.2263465Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2263560Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2263658Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2263756Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2263892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2264176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2264254Z return mod(*inputs) 2025-09-07T08:28:46.2264581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2264666Z x = self.forward_features(x) 2025-09-07T08:28:46.2265028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2265102Z x = self.blocks(x) 2025-09-07T08:28:46.2265452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2265528Z x = self.conv_dw(x) 2025-09-07T08:28:46.2265846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2265929Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2265933Z 2025-09-07T08:28:46.2266028Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2266163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2266451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2266527Z return mod(*inputs) 2025-09-07T08:28:46.2266853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2266937Z x = self.forward_features(x) 2025-09-07T08:28:46.2267301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2267376Z x = self.blocks(x) 2025-09-07T08:28:46.2267725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2267798Z x = self.se(x) 2025-09-07T08:28:46.2268141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2268233Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2268238Z 2025-09-07T08:28:46.2268522Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2268819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2268897Z return mod(*inputs) 2025-09-07T08:28:46.2269221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2269308Z x = self.forward_features(x) 2025-09-07T08:28:46.2269670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2269745Z x = self.blocks(x) 2025-09-07T08:28:46.2270093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2270228Z x = self.se(x) 2025-09-07T08:28:46.2270577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2270665Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2270670Z 2025-09-07T08:28:46.2270805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2271091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2271164Z return mod(*inputs) 2025-09-07T08:28:46.2271493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2271642Z x = self.forward_features(x) 2025-09-07T08:28:46.2272008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2272080Z x = self.blocks(x) 2025-09-07T08:28:46.2272431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2272502Z x = self.se(x) 2025-09-07T08:28:46.2272850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2272931Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2272935Z 2025-09-07T08:28:46.2273070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2273354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2273432Z return mod(*inputs) 2025-09-07T08:28:46.2273755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2273846Z x = self.forward_features(x) 2025-09-07T08:28:46.2274205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2274283Z x = self.blocks(x) 2025-09-07T08:28:46.2274631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2274699Z x = self.se(x) 2025-09-07T08:28:46.2275051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2275136Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2275140Z 2025-09-07T08:28:46.2275276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2275559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2275633Z return mod(*inputs) 2025-09-07T08:28:46.2275962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2276047Z x = self.forward_features(x) 2025-09-07T08:28:46.2276408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2276483Z x = self.blocks(x) 2025-09-07T08:28:46.2276925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2277004Z x = self.se(x) 2025-09-07T08:28:46.2277350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2277437Z return x * self.gate(x_se) 2025-09-07T08:28:46.2277441Z 2025-09-07T08:28:46.2277576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2277863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2277941Z return mod(*inputs) 2025-09-07T08:28:46.2278265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2278353Z x = self.forward_features(x) 2025-09-07T08:28:46.2278755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2278832Z x = self.blocks(x) 2025-09-07T08:28:46.2279187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2279257Z x = self.se(x) 2025-09-07T08:28:46.2279606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2279689Z return x * self.gate(x_se) 2025-09-07T08:28:46.2279693Z 2025-09-07T08:28:46.2279794Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2279929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2280252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2280330Z return mod(*inputs) 2025-09-07T08:28:46.2280654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2280744Z x = self.forward_features(x) 2025-09-07T08:28:46.2281109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2281183Z x = self.blocks(x) 2025-09-07T08:28:46.2281536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2281612Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2281930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2282067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2282400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2282536Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2282542Z 2025-09-07T08:28:46.2282638Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2282777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2283069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2283148Z return mod(*inputs) 2025-09-07T08:28:46.2283470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2283554Z x = self.forward_features(x) 2025-09-07T08:28:46.2283918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2283994Z x = self.blocks(x) 2025-09-07T08:28:46.2284345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2284423Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2284738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2284880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2285284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2285426Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2285431Z 2025-09-07T08:28:46.2285526Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2285624Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2285757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2286044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2286124Z return mod(*inputs) 2025-09-07T08:28:46.2286447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2286576Z x = self.forward_features(x) 2025-09-07T08:28:46.2286939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2287012Z x = self.blocks(x) 2025-09-07T08:28:46.2287367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2287446Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2287763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2287840Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2287845Z 2025-09-07T08:28:46.2287979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2288305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2288380Z return mod(*inputs) 2025-09-07T08:28:46.2288708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2288795Z x = self.forward_features(x) 2025-09-07T08:28:46.2289154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2289233Z x = self.blocks(x) 2025-09-07T08:28:46.2289583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2289670Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2289675Z 2025-09-07T08:28:46.2289809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2290096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2290172Z return mod(*inputs) 2025-09-07T08:28:46.2290495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2290583Z x = self.forward_features(x) 2025-09-07T08:28:46.2290945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2291020Z x = self.blocks(x) 2025-09-07T08:28:46.2291373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2291448Z x = self.conv_pw(x) 2025-09-07T08:28:46.2291775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2291912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2292241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2292382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2292387Z 2025-09-07T08:28:46.2292521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2292809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2292887Z return mod(*inputs) 2025-09-07T08:28:46.2293215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2293417Z x = self.forward_features(x) 2025-09-07T08:28:46.2293787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2293861Z x = self.blocks(x) 2025-09-07T08:28:46.2294213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2294290Z x = self.conv_pw(x) 2025-09-07T08:28:46.2294609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2294748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2295076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2295258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2295263Z 2025-09-07T08:28:46.2295365Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2295460Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2295595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2295879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2295954Z return mod(*inputs) 2025-09-07T08:28:46.2296280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2296409Z x = self.forward_features(x) 2025-09-07T08:28:46.2296774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2296847Z x = self.blocks(x) 2025-09-07T08:28:46.2297199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2297277Z x = self.conv_pw(x) 2025-09-07T08:28:46.2297595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2297676Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2297681Z 2025-09-07T08:28:46.2297813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2298099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2298175Z return mod(*inputs) 2025-09-07T08:28:46.2298499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2298591Z x = self.forward_features(x) 2025-09-07T08:28:46.2298954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2299031Z x = self.blocks(x) 2025-09-07T08:28:46.2299385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2299455Z x = self.bn1(x) 2025-09-07T08:28:46.2299766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2299837Z x = F.batch_norm( 2025-09-07T08:28:46.2299841Z 2025-09-07T08:28:46.2299978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2300263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2300337Z return mod(*inputs) 2025-09-07T08:28:46.2300668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2300752Z x = self.forward_features(x) 2025-09-07T08:28:46.2301116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2301191Z x = self.blocks(x) 2025-09-07T08:28:46.2301540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2301692Z x = self.bn1(x) 2025-09-07T08:28:46.2302002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2302075Z x = self.act(x) 2025-09-07T08:28:46.2302079Z 2025-09-07T08:28:46.2302176Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2302313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2302595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2302672Z return mod(*inputs) 2025-09-07T08:28:46.2302998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2303129Z x = self.forward_features(x) 2025-09-07T08:28:46.2303494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2303566Z x = self.blocks(x) 2025-09-07T08:28:46.2303919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2303998Z x = self.conv_dw(x) 2025-09-07T08:28:46.2304313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2304454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2304782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2304961Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2304965Z 2025-09-07T08:28:46.2305063Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2305198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2305486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2305560Z return mod(*inputs) 2025-09-07T08:28:46.2305885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2305974Z x = self.forward_features(x) 2025-09-07T08:28:46.2306338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2306414Z x = self.blocks(x) 2025-09-07T08:28:46.2306765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2306846Z x = self.conv_dw(x) 2025-09-07T08:28:46.2307161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2307300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2307630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2307769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2307773Z 2025-09-07T08:28:46.2307872Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2308004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2308288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2308367Z return mod(*inputs) 2025-09-07T08:28:46.2308692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2308783Z x = self.forward_features(x) 2025-09-07T08:28:46.2309144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2309218Z x = self.blocks(x) 2025-09-07T08:28:46.2309572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2309647Z x = self.conv_dw(x) 2025-09-07T08:28:46.2310064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2310208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2310542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2310678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2310685Z 2025-09-07T08:28:46.2310780Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2310921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2311205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2311319Z return mod(*inputs) 2025-09-07T08:28:46.2311641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2311725Z x = self.forward_features(x) 2025-09-07T08:28:46.2312092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2312166Z x = self.blocks(x) 2025-09-07T08:28:46.2312518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2312592Z x = self.conv_dw(x) 2025-09-07T08:28:46.2312907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2313076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2313406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2313546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2313551Z 2025-09-07T08:28:46.2313647Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2313748Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2313844Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2313939Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2314074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2314362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2314438Z return mod(*inputs) 2025-09-07T08:28:46.2314765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2314852Z x = self.forward_features(x) 2025-09-07T08:28:46.2315216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2315290Z x = self.blocks(x) 2025-09-07T08:28:46.2315643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2315716Z x = self.conv_dw(x) 2025-09-07T08:28:46.2316034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2316115Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2316120Z 2025-09-07T08:28:46.2316216Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2316352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2316639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2316716Z return mod(*inputs) 2025-09-07T08:28:46.2317046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2317132Z x = self.forward_features(x) 2025-09-07T08:28:46.2317496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2317570Z x = self.blocks(x) 2025-09-07T08:28:46.2317998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2318077Z x = self.se(x) 2025-09-07T08:28:46.2318425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2318514Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2318519Z 2025-09-07T08:28:46.2318651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2318941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2319015Z return mod(*inputs) 2025-09-07T08:28:46.2319338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2319460Z x = self.forward_features(x) 2025-09-07T08:28:46.2319822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2319899Z x = self.blocks(x) 2025-09-07T08:28:46.2320249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2320317Z x = self.se(x) 2025-09-07T08:28:46.2320667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2320752Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2320756Z 2025-09-07T08:28:46.2320955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2321239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2321314Z return mod(*inputs) 2025-09-07T08:28:46.2321642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2321727Z x = self.forward_features(x) 2025-09-07T08:28:46.2322093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2322166Z x = self.blocks(x) 2025-09-07T08:28:46.2322515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2322586Z x = self.se(x) 2025-09-07T08:28:46.2322932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2323012Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2323019Z 2025-09-07T08:28:46.2323151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2323438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2323516Z return mod(*inputs) 2025-09-07T08:28:46.2323840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2323927Z x = self.forward_features(x) 2025-09-07T08:28:46.2324288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2324364Z x = self.blocks(x) 2025-09-07T08:28:46.2324712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2324779Z x = self.se(x) 2025-09-07T08:28:46.2325127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2325215Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2325220Z 2025-09-07T08:28:46.2325356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2325639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2325717Z return mod(*inputs) 2025-09-07T08:28:46.2326046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2326226Z x = self.forward_features(x) 2025-09-07T08:28:46.2326598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2326671Z x = self.blocks(x) 2025-09-07T08:28:46.2327020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2327091Z x = self.se(x) 2025-09-07T08:28:46.2327438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2327525Z return x * self.gate(x_se) 2025-09-07T08:28:46.2327530Z 2025-09-07T08:28:46.2327665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2327995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2328071Z return mod(*inputs) 2025-09-07T08:28:46.2328401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2328489Z x = self.forward_features(x) 2025-09-07T08:28:46.2328851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2328927Z x = self.blocks(x) 2025-09-07T08:28:46.2329277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2329387Z x = self.se(x) 2025-09-07T08:28:46.2329737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2329820Z return x * self.gate(x_se) 2025-09-07T08:28:46.2329826Z 2025-09-07T08:28:46.2329926Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2330059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2330348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2330425Z return mod(*inputs) 2025-09-07T08:28:46.2330749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2330838Z x = self.forward_features(x) 2025-09-07T08:28:46.2331201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2331274Z x = self.blocks(x) 2025-09-07T08:28:46.2331629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2331705Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2332024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2332165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2332498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2332636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2332641Z 2025-09-07T08:28:46.2332737Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2332875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2333160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2333237Z return mod(*inputs) 2025-09-07T08:28:46.2333562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2333645Z x = self.forward_features(x) 2025-09-07T08:28:46.2334008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2334084Z x = self.blocks(x) 2025-09-07T08:28:46.2334511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2334594Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2334910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2335052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2335383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2335524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2335528Z 2025-09-07T08:28:46.2335625Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2335722Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2335888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2336174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2336252Z return mod(*inputs) 2025-09-07T08:28:46.2336581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2336671Z x = self.forward_features(x) 2025-09-07T08:28:46.2337034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2337107Z x = self.blocks(x) 2025-09-07T08:28:46.2337462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2337580Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2337900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2337978Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2337984Z 2025-09-07T08:28:46.2338120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2338410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2338490Z return mod(*inputs) 2025-09-07T08:28:46.2338817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2338903Z x = self.forward_features(x) 2025-09-07T08:28:46.2339267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2339344Z x = self.blocks(x) 2025-09-07T08:28:46.2339694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2339784Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2339788Z 2025-09-07T08:28:46.2339922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2340211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2340287Z return mod(*inputs) 2025-09-07T08:28:46.2340613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2340700Z x = self.forward_features(x) 2025-09-07T08:28:46.2341060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2341135Z x = self.blocks(x) 2025-09-07T08:28:46.2341486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2341563Z x = self.conv_pw(x) 2025-09-07T08:28:46.2341567Z 2025-09-07T08:28:46.2341703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2341989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2342069Z return mod(*inputs) 2025-09-07T08:28:46.2342393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2342478Z x = self.forward_features(x) 2025-09-07T08:28:46.2342936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2343021Z x = self.blocks(x) 2025-09-07T08:28:46.2343375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2343444Z x = self.bn1(x) 2025-09-07T08:28:46.2343747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2343824Z x = F.batch_norm( 2025-09-07T08:28:46.2343829Z 2025-09-07T08:28:46.2343964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2344254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2344383Z return mod(*inputs) 2025-09-07T08:28:46.2344712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2344801Z x = self.forward_features(x) 2025-09-07T08:28:46.2345164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2345241Z x = self.blocks(x) 2025-09-07T08:28:46.2345588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2345661Z x = self.bn1(x) 2025-09-07T08:28:46.2345962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2346069Z x = self.act(x) 2025-09-07T08:28:46.2346073Z 2025-09-07T08:28:46.2346211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2346498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2346576Z return mod(*inputs) 2025-09-07T08:28:46.2346906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2346990Z x = self.forward_features(x) 2025-09-07T08:28:46.2347356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2347428Z x = self.blocks(x) 2025-09-07T08:28:46.2347782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2347858Z x = self.conv_dw(x) 2025-09-07T08:28:46.2348175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2348316Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2348647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2348787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2349101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2349180Z return conv2d_same( 2025-09-07T08:28:46.2349506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.2349630Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.2349937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.2350134Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.2350428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.2350553Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.2350558Z 2025-09-07T08:28:46.2350695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2351064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2351148Z return mod(*inputs) 2025-09-07T08:28:46.2351478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2351563Z x = self.forward_features(x) 2025-09-07T08:28:46.2351930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2352007Z x = self.blocks(x) 2025-09-07T08:28:46.2352356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2352432Z x = self.conv_dw(x) 2025-09-07T08:28:46.2352806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2352946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2353278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2353414Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2353729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2353804Z return conv2d_same( 2025-09-07T08:28:46.2354134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.2354343Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.2354348Z 2025-09-07T08:28:46.2354484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2354773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2354848Z return mod(*inputs) 2025-09-07T08:28:46.2355176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2355262Z x = self.forward_features(x) 2025-09-07T08:28:46.2355626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2355699Z x = self.blocks(x) 2025-09-07T08:28:46.2356052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2356129Z x = self.conv_dw(x) 2025-09-07T08:28:46.2356446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2356587Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2356920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2357054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2357373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2357448Z return conv2d_same( 2025-09-07T08:28:46.2357780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.2357904Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.2358206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.2358404Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.2358701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.2358830Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.2358835Z 2025-09-07T08:28:46.2358969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2359331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2359415Z return mod(*inputs) 2025-09-07T08:28:46.2359740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2359827Z x = self.forward_features(x) 2025-09-07T08:28:46.2360189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2360268Z x = self.blocks(x) 2025-09-07T08:28:46.2360620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2360694Z x = self.conv_dw(x) 2025-09-07T08:28:46.2361014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2361195Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2361529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2361666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2361978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2362057Z return conv2d_same( 2025-09-07T08:28:46.2362385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.2362594Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.2362598Z 2025-09-07T08:28:46.2362733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2363024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2363102Z return mod(*inputs) 2025-09-07T08:28:46.2363539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2363633Z x = self.forward_features(x) 2025-09-07T08:28:46.2363993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2364071Z x = self.blocks(x) 2025-09-07T08:28:46.2364421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2364496Z x = self.conv_dw(x) 2025-09-07T08:28:46.2364819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2364955Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2365285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2365424Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2365742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2365829Z return conv2d_same( 2025-09-07T08:28:46.2371835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.2372035Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.2372352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.2372553Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.2372845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.2372972Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.2372977Z 2025-09-07T08:28:46.2373114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2373627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2373722Z return mod(*inputs) 2025-09-07T08:28:46.2374049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2374135Z x = self.forward_features(x) 2025-09-07T08:28:46.2374500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2374574Z x = self.blocks(x) 2025-09-07T08:28:46.2374930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2375003Z x = self.conv_dw(x) 2025-09-07T08:28:46.2375319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2375535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2375869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2376007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2376318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2376396Z return conv2d_same( 2025-09-07T08:28:46.2376721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.2376959Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.2376964Z 2025-09-07T08:28:46.2377100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2377386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2377464Z return mod(*inputs) 2025-09-07T08:28:46.2377785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2377872Z x = self.forward_features(x) 2025-09-07T08:28:46.2378235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2378308Z x = self.blocks(x) 2025-09-07T08:28:46.2378661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2378734Z x = self.conv_dw(x) 2025-09-07T08:28:46.2379048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2379190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2379518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2379659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2379975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2380053Z return conv2d_same( 2025-09-07T08:28:46.2380381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:28:46.2380504Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:28:46.2380809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:28:46.2380995Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:28:46.2381287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:28:46.2381410Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:28:46.2381417Z 2025-09-07T08:28:46.2381551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2381840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2382024Z return mod(*inputs) 2025-09-07T08:28:46.2382360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2382444Z x = self.forward_features(x) 2025-09-07T08:28:46.2382807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2382879Z x = self.blocks(x) 2025-09-07T08:28:46.2383231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2383307Z x = self.conv_dw(x) 2025-09-07T08:28:46.2383623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2383806Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2384137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2384272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2384587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:28:46.2384661Z return conv2d_same( 2025-09-07T08:28:46.2384988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:28:46.2385158Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:28:46.2385194Z 2025-09-07T08:28:46.2385292Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2385390Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2385483Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2385582Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2385717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2386006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2386085Z return mod(*inputs) 2025-09-07T08:28:46.2386408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2386494Z x = self.forward_features(x) 2025-09-07T08:28:46.2386851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2386925Z x = self.blocks(x) 2025-09-07T08:28:46.2387282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2387356Z x = self.conv_dw(x) 2025-09-07T08:28:46.2387673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2387756Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2387760Z 2025-09-07T08:28:46.2387859Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2387997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2388280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2388359Z return mod(*inputs) 2025-09-07T08:28:46.2388681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2388769Z x = self.forward_features(x) 2025-09-07T08:28:46.2389127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2389202Z x = self.blocks(x) 2025-09-07T08:28:46.2389554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2389624Z x = self.se(x) 2025-09-07T08:28:46.2389973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2390138Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2390143Z 2025-09-07T08:28:46.2390283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2390572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2390646Z return mod(*inputs) 2025-09-07T08:28:46.2390972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2391058Z x = self.forward_features(x) 2025-09-07T08:28:46.2391418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2391495Z x = self.blocks(x) 2025-09-07T08:28:46.2391882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2391955Z x = self.se(x) 2025-09-07T08:28:46.2392303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2392390Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2392395Z 2025-09-07T08:28:46.2392528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2392810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2392888Z return mod(*inputs) 2025-09-07T08:28:46.2393212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2393345Z x = self.forward_features(x) 2025-09-07T08:28:46.2393704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2393778Z x = self.blocks(x) 2025-09-07T08:28:46.2394130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2394198Z x = self.se(x) 2025-09-07T08:28:46.2394549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2394630Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2394634Z 2025-09-07T08:28:46.2394767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2395055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2395129Z return mod(*inputs) 2025-09-07T08:28:46.2395456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2395541Z x = self.forward_features(x) 2025-09-07T08:28:46.2395902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2395978Z x = self.blocks(x) 2025-09-07T08:28:46.2396323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2396399Z x = self.se(x) 2025-09-07T08:28:46.2396744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2396831Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2396836Z 2025-09-07T08:28:46.2396970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2397253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2397333Z return mod(*inputs) 2025-09-07T08:28:46.2397656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2397745Z x = self.forward_features(x) 2025-09-07T08:28:46.2398106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2398179Z x = self.blocks(x) 2025-09-07T08:28:46.2398598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2398673Z x = self.se(x) 2025-09-07T08:28:46.2399020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2399102Z return x * self.gate(x_se) 2025-09-07T08:28:46.2399107Z 2025-09-07T08:28:46.2399242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2399525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2399603Z return mod(*inputs) 2025-09-07T08:28:46.2399933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2400052Z x = self.forward_features(x) 2025-09-07T08:28:46.2400412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2400486Z x = self.blocks(x) 2025-09-07T08:28:46.2400840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2400909Z x = self.se(x) 2025-09-07T08:28:46.2401253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2401338Z return x * self.gate(x_se) 2025-09-07T08:28:46.2401343Z 2025-09-07T08:28:46.2401476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2401801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2401876Z return mod(*inputs) 2025-09-07T08:28:46.2402197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2402286Z x = self.forward_features(x) 2025-09-07T08:28:46.2402646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2402723Z x = self.blocks(x) 2025-09-07T08:28:46.2403072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2403147Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2403156Z 2025-09-07T08:28:46.2403289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2403575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2403654Z return mod(*inputs) 2025-09-07T08:28:46.2403975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2404064Z x = self.forward_features(x) 2025-09-07T08:28:46.2404425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2404497Z x = self.blocks(x) 2025-09-07T08:28:46.2404850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:28:46.2404920Z x = self.bn3(x) 2025-09-07T08:28:46.2405225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2405296Z x = F.batch_norm( 2025-09-07T08:28:46.2405301Z 2025-09-07T08:28:46.2405434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2405724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2405800Z return mod(*inputs) 2025-09-07T08:28:46.2406124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2406212Z x = self.forward_features(x) 2025-09-07T08:28:46.2406571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2406712Z x = self.blocks(x) 2025-09-07T08:28:46.2407067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2407143Z x = self.conv_pw(x) 2025-09-07T08:28:46.2407147Z 2025-09-07T08:28:46.2407279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2407561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2407642Z return mod(*inputs) 2025-09-07T08:28:46.2407967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2408053Z x = self.forward_features(x) 2025-09-07T08:28:46.2408445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2408518Z x = self.blocks(x) 2025-09-07T08:28:46.2408870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2408938Z x = self.bn1(x) 2025-09-07T08:28:46.2409245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2409314Z x = F.batch_norm( 2025-09-07T08:28:46.2409318Z 2025-09-07T08:28:46.2409452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2409737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2409840Z return mod(*inputs) 2025-09-07T08:28:46.2410164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2410247Z x = self.forward_features(x) 2025-09-07T08:28:46.2410611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2410684Z x = self.blocks(x) 2025-09-07T08:28:46.2411035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2411109Z x = self.bn1(x) 2025-09-07T08:28:46.2411412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2411482Z x = self.act(x) 2025-09-07T08:28:46.2411487Z 2025-09-07T08:28:46.2411584Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2411719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2412007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2412082Z return mod(*inputs) 2025-09-07T08:28:46.2412407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2412494Z x = self.forward_features(x) 2025-09-07T08:28:46.2412858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2412931Z x = self.blocks(x) 2025-09-07T08:28:46.2413279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2413356Z x = self.conv_dw(x) 2025-09-07T08:28:46.2413672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2413812Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2414143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2414280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2414286Z 2025-09-07T08:28:46.2414387Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2414519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2414889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2414973Z return mod(*inputs) 2025-09-07T08:28:46.2415295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2415383Z x = self.forward_features(x) 2025-09-07T08:28:46.2415741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2415816Z x = self.blocks(x) 2025-09-07T08:28:46.2416169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2416243Z x = self.conv_dw(x) 2025-09-07T08:28:46.2416561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2416742Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2417076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2417212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2417217Z 2025-09-07T08:28:46.2417317Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2417451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2417733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2417811Z return mod(*inputs) 2025-09-07T08:28:46.2418171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2418261Z x = self.forward_features(x) 2025-09-07T08:28:46.2418618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2418693Z x = self.blocks(x) 2025-09-07T08:28:46.2419047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2419121Z x = self.conv_dw(x) 2025-09-07T08:28:46.2419439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2419575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2419902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2420043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2420047Z 2025-09-07T08:28:46.2420142Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2420279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2420565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2420642Z return mod(*inputs) 2025-09-07T08:28:46.2420970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2421056Z x = self.forward_features(x) 2025-09-07T08:28:46.2421416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2421490Z x = self.blocks(x) 2025-09-07T08:28:46.2421842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2421916Z x = self.conv_dw(x) 2025-09-07T08:28:46.2422235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2422374Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2422703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2422843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2422847Z 2025-09-07T08:28:46.2423044Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2423146Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2423242Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2423335Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2423469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2423752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2423829Z return mod(*inputs) 2025-09-07T08:28:46.2424157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2424241Z x = self.forward_features(x) 2025-09-07T08:28:46.2424601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2424713Z x = self.blocks(x) 2025-09-07T08:28:46.2425064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2425146Z x = self.conv_dw(x) 2025-09-07T08:28:46.2425460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2425543Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2425547Z 2025-09-07T08:28:46.2425641Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2425776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2426100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2426174Z return mod(*inputs) 2025-09-07T08:28:46.2426500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2426587Z x = self.forward_features(x) 2025-09-07T08:28:46.2426947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2427024Z x = self.blocks(x) 2025-09-07T08:28:46.2427375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2427444Z x = self.se(x) 2025-09-07T08:28:46.2427789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2427878Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2427883Z 2025-09-07T08:28:46.2428018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2428301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2428378Z return mod(*inputs) 2025-09-07T08:28:46.2428702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2428789Z x = self.forward_features(x) 2025-09-07T08:28:46.2429150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2429226Z x = self.blocks(x) 2025-09-07T08:28:46.2429573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2429640Z x = self.se(x) 2025-09-07T08:28:46.2429988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2430074Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2430079Z 2025-09-07T08:28:46.2430216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2430500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2430578Z return mod(*inputs) 2025-09-07T08:28:46.2430904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2430988Z x = self.forward_features(x) 2025-09-07T08:28:46.2431421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2431503Z x = self.blocks(x) 2025-09-07T08:28:46.2431851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2431922Z x = self.se(x) 2025-09-07T08:28:46.2432267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2432351Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2432355Z 2025-09-07T08:28:46.2432490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2432774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2432884Z return mod(*inputs) 2025-09-07T08:28:46.2433208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2433298Z x = self.forward_features(x) 2025-09-07T08:28:46.2433656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2433730Z x = self.blocks(x) 2025-09-07T08:28:46.2434078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2434146Z x = self.se(x) 2025-09-07T08:28:46.2434527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2434611Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2434616Z 2025-09-07T08:28:46.2434751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2435039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2435113Z return mod(*inputs) 2025-09-07T08:28:46.2435445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2435531Z x = self.forward_features(x) 2025-09-07T08:28:46.2435894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2435967Z x = self.blocks(x) 2025-09-07T08:28:46.2436315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2436389Z x = self.se(x) 2025-09-07T08:28:46.2436732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2436816Z return x * self.gate(x_se) 2025-09-07T08:28:46.2436823Z 2025-09-07T08:28:46.2436955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2437242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2437321Z return mod(*inputs) 2025-09-07T08:28:46.2437644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2437730Z x = self.forward_features(x) 2025-09-07T08:28:46.2438088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2438165Z x = self.blocks(x) 2025-09-07T08:28:46.2438514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2438585Z x = self.se(x) 2025-09-07T08:28:46.2438931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2439015Z return x * self.gate(x_se) 2025-09-07T08:28:46.2439019Z 2025-09-07T08:28:46.2439117Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2439251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2439630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2439717Z return mod(*inputs) 2025-09-07T08:28:46.2440044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2440132Z x = self.forward_features(x) 2025-09-07T08:28:46.2440490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2440565Z x = self.blocks(x) 2025-09-07T08:28:46.2440913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2441035Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2441353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2441489Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2441822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2441958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2441963Z 2025-09-07T08:28:46.2442057Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2442195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2442477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2442595Z return mod(*inputs) 2025-09-07T08:28:46.2442920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2443007Z x = self.forward_features(x) 2025-09-07T08:28:46.2443367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2443440Z x = self.blocks(x) 2025-09-07T08:28:46.2443791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2443867Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2444183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2444323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2444649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2444788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2444793Z 2025-09-07T08:28:46.2444886Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2444995Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2445132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2445418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2445497Z return mod(*inputs) 2025-09-07T08:28:46.2445820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2445906Z x = self.forward_features(x) 2025-09-07T08:28:46.2446267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2446340Z x = self.blocks(x) 2025-09-07T08:28:46.2446691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2446771Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2447086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2447169Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2447173Z 2025-09-07T08:28:46.2447307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2447687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2447768Z return mod(*inputs) 2025-09-07T08:28:46.2448094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2448181Z x = self.forward_features(x) 2025-09-07T08:28:46.2448539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2448617Z x = self.blocks(x) 2025-09-07T08:28:46.2448965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2449052Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2449097Z 2025-09-07T08:28:46.2449233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2449519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2449600Z return mod(*inputs) 2025-09-07T08:28:46.2449933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2450020Z x = self.forward_features(x) 2025-09-07T08:28:46.2450379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2450451Z x = self.blocks(x) 2025-09-07T08:28:46.2450804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2450956Z x = self.conv_pw(x) 2025-09-07T08:28:46.2450960Z 2025-09-07T08:28:46.2451096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2451383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2451458Z return mod(*inputs) 2025-09-07T08:28:46.2451789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2451875Z x = self.forward_features(x) 2025-09-07T08:28:46.2452236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2452311Z x = self.blocks(x) 2025-09-07T08:28:46.2452663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2452733Z x = self.bn1(x) 2025-09-07T08:28:46.2453040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2453114Z x = F.batch_norm( 2025-09-07T08:28:46.2453118Z 2025-09-07T08:28:46.2453251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2453541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2453617Z return mod(*inputs) 2025-09-07T08:28:46.2453943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2454031Z x = self.forward_features(x) 2025-09-07T08:28:46.2454391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2454465Z x = self.blocks(x) 2025-09-07T08:28:46.2454813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2454884Z x = self.bn1(x) 2025-09-07T08:28:46.2455192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2455261Z x = self.act(x) 2025-09-07T08:28:46.2455268Z 2025-09-07T08:28:46.2455367Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2455502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2455784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2455953Z return mod(*inputs) 2025-09-07T08:28:46.2456282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2456369Z x = self.forward_features(x) 2025-09-07T08:28:46.2456727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2456800Z x = self.blocks(x) 2025-09-07T08:28:46.2457155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2457230Z x = self.conv_dw(x) 2025-09-07T08:28:46.2457549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2457726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2458061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2458197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2458201Z 2025-09-07T08:28:46.2458297Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2458432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2458720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2458797Z return mod(*inputs) 2025-09-07T08:28:46.2459159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2459243Z x = self.forward_features(x) 2025-09-07T08:28:46.2459604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2459679Z x = self.blocks(x) 2025-09-07T08:28:46.2460030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2460109Z x = self.conv_dw(x) 2025-09-07T08:28:46.2460425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2460565Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2460892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2461029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2461036Z 2025-09-07T08:28:46.2461132Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2461268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2461551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2461627Z return mod(*inputs) 2025-09-07T08:28:46.2461956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2462045Z x = self.forward_features(x) 2025-09-07T08:28:46.2462407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2462479Z x = self.blocks(x) 2025-09-07T08:28:46.2462829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2462907Z x = self.conv_dw(x) 2025-09-07T08:28:46.2463223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2463465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2463794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2463932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2463939Z 2025-09-07T08:28:46.2464160Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2464301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2464586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2464664Z return mod(*inputs) 2025-09-07T08:28:46.2464990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2465074Z x = self.forward_features(x) 2025-09-07T08:28:46.2465436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2465512Z x = self.blocks(x) 2025-09-07T08:28:46.2465862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2465988Z x = self.conv_dw(x) 2025-09-07T08:28:46.2466304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2466444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2466774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2466909Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2466914Z 2025-09-07T08:28:46.2467013Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2467107Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2467243Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2467340Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2467473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2467762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2467837Z return mod(*inputs) 2025-09-07T08:28:46.2468162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2468249Z x = self.forward_features(x) 2025-09-07T08:28:46.2468608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2468683Z x = self.blocks(x) 2025-09-07T08:28:46.2469031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2469106Z x = self.conv_dw(x) 2025-09-07T08:28:46.2469425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2469503Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2469507Z 2025-09-07T08:28:46.2469605Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2469742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2470029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2470107Z return mod(*inputs) 2025-09-07T08:28:46.2470431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2470520Z x = self.forward_features(x) 2025-09-07T08:28:46.2470877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2470952Z x = self.blocks(x) 2025-09-07T08:28:46.2471300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2471371Z x = self.se(x) 2025-09-07T08:28:46.2471719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2471810Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2471814Z 2025-09-07T08:28:46.2471950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2472294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2472378Z return mod(*inputs) 2025-09-07T08:28:46.2472708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2472792Z x = self.forward_features(x) 2025-09-07T08:28:46.2473154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2473228Z x = self.blocks(x) 2025-09-07T08:28:46.2473577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2473648Z x = self.se(x) 2025-09-07T08:28:46.2473993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2474109Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2474114Z 2025-09-07T08:28:46.2474248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2474539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2474615Z return mod(*inputs) 2025-09-07T08:28:46.2474938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2475025Z x = self.forward_features(x) 2025-09-07T08:28:46.2475382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2475485Z x = self.blocks(x) 2025-09-07T08:28:46.2475831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2475902Z x = self.se(x) 2025-09-07T08:28:46.2476250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2476330Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2476335Z 2025-09-07T08:28:46.2476476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2476759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2476833Z return mod(*inputs) 2025-09-07T08:28:46.2477159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2477243Z x = self.forward_features(x) 2025-09-07T08:28:46.2477607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2477679Z x = self.blocks(x) 2025-09-07T08:28:46.2478029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2478099Z x = self.se(x) 2025-09-07T08:28:46.2478443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2478534Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2478539Z 2025-09-07T08:28:46.2478674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2478961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2479035Z return mod(*inputs) 2025-09-07T08:28:46.2479359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2479450Z x = self.forward_features(x) 2025-09-07T08:28:46.2479810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2479885Z x = self.blocks(x) 2025-09-07T08:28:46.2480237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2480306Z x = self.se(x) 2025-09-07T08:28:46.2480756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2480849Z return x * self.gate(x_se) 2025-09-07T08:28:46.2480853Z 2025-09-07T08:28:46.2480990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2481273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2481348Z return mod(*inputs) 2025-09-07T08:28:46.2481673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2481759Z x = self.forward_features(x) 2025-09-07T08:28:46.2482121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2482253Z x = self.blocks(x) 2025-09-07T08:28:46.2482605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2482673Z x = self.se(x) 2025-09-07T08:28:46.2483023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2483109Z return x * self.gate(x_se) 2025-09-07T08:28:46.2483113Z 2025-09-07T08:28:46.2483210Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2483347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2483630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2483744Z return mod(*inputs) 2025-09-07T08:28:46.2484071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2484155Z x = self.forward_features(x) 2025-09-07T08:28:46.2484520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2484592Z x = self.blocks(x) 2025-09-07T08:28:46.2484942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2485023Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2485339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2485478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2485805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2485948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2485953Z 2025-09-07T08:28:46.2486049Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2486183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2486469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2486544Z return mod(*inputs) 2025-09-07T08:28:46.2486872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2486959Z x = self.forward_features(x) 2025-09-07T08:28:46.2487317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2487392Z x = self.blocks(x) 2025-09-07T08:28:46.2487741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2487823Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2488140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2488276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2488610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2488745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2488816Z 2025-09-07T08:28:46.2488919Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2489015Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2489148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2489437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2489511Z return mod(*inputs) 2025-09-07T08:28:46.2489837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2489924Z x = self.forward_features(x) 2025-09-07T08:28:46.2490286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2490392Z x = self.blocks(x) 2025-09-07T08:28:46.2490742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2490827Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2491143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2491223Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2491228Z 2025-09-07T08:28:46.2491362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2491646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2491754Z return mod(*inputs) 2025-09-07T08:28:46.2492076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2492165Z x = self.forward_features(x) 2025-09-07T08:28:46.2492524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2492600Z x = self.blocks(x) 2025-09-07T08:28:46.2492959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2493044Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2493048Z 2025-09-07T08:28:46.2493183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2493468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2493542Z return mod(*inputs) 2025-09-07T08:28:46.2493865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2493953Z x = self.forward_features(x) 2025-09-07T08:28:46.2494313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2494387Z x = self.blocks(x) 2025-09-07T08:28:46.2494737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:28:46.2494814Z x = self.conv_pw(x) 2025-09-07T08:28:46.2494818Z 2025-09-07T08:28:46.2494955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2495242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2495317Z return mod(*inputs) 2025-09-07T08:28:46.2495643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2495727Z x = self.forward_features(x) 2025-09-07T08:28:46.2496088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2496165Z x = self.blocks(x) 2025-09-07T08:28:46.2496514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2496591Z x = self.bn1(x) 2025-09-07T08:28:46.2496893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:28:46.2497044Z x = F.batch_norm( 2025-09-07T08:28:46.2497050Z 2025-09-07T08:28:46.2497191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2497476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2497553Z return mod(*inputs) 2025-09-07T08:28:46.2497876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2497965Z x = self.forward_features(x) 2025-09-07T08:28:46.2498323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2498396Z x = self.blocks(x) 2025-09-07T08:28:46.2498786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:28:46.2498856Z x = self.bn1(x) 2025-09-07T08:28:46.2499164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:28:46.2499233Z x = self.act(x) 2025-09-07T08:28:46.2499238Z 2025-09-07T08:28:46.2499334Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2499471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2499753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2499830Z return mod(*inputs) 2025-09-07T08:28:46.2500189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2500273Z x = self.forward_features(x) 2025-09-07T08:28:46.2500636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2500712Z x = self.blocks(x) 2025-09-07T08:28:46.2501064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2501143Z x = self.conv_dw(x) 2025-09-07T08:28:46.2501460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2501601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2501931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2502067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2502074Z 2025-09-07T08:28:46.2502171Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2502307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2502594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2502671Z return mod(*inputs) 2025-09-07T08:28:46.2502996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2503084Z x = self.forward_features(x) 2025-09-07T08:28:46.2503448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2503521Z x = self.blocks(x) 2025-09-07T08:28:46.2503873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2503950Z x = self.conv_dw(x) 2025-09-07T08:28:46.2504268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2504406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2504732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2504869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2504873Z 2025-09-07T08:28:46.2504971Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2505183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2505477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2505551Z return mod(*inputs) 2025-09-07T08:28:46.2505875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2505963Z x = self.forward_features(x) 2025-09-07T08:28:46.2506323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2506398Z x = self.blocks(x) 2025-09-07T08:28:46.2506747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2506860Z x = self.conv_dw(x) 2025-09-07T08:28:46.2507175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2507317Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2507649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2507784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2507788Z 2025-09-07T08:28:46.2507888Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2508021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2508341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2508418Z return mod(*inputs) 2025-09-07T08:28:46.2508741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2508829Z x = self.forward_features(x) 2025-09-07T08:28:46.2509186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2509262Z x = self.blocks(x) 2025-09-07T08:28:46.2509614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2509688Z x = self.conv_dw(x) 2025-09-07T08:28:46.2510004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2510141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2510471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2510607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2510614Z 2025-09-07T08:28:46.2510712Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2510811Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2510905Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2511002Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2511138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2511425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2511503Z return mod(*inputs) 2025-09-07T08:28:46.2511828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2511916Z x = self.forward_features(x) 2025-09-07T08:28:46.2512278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2512351Z x = self.blocks(x) 2025-09-07T08:28:46.2512703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:28:46.2512779Z x = self.conv_dw(x) 2025-09-07T08:28:46.2513097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2513272Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2513277Z 2025-09-07T08:28:46.2513380Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2513517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2513802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2513878Z return mod(*inputs) 2025-09-07T08:28:46.2514200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2514288Z x = self.forward_features(x) 2025-09-07T08:28:46.2514648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2514759Z x = self.blocks(x) 2025-09-07T08:28:46.2515110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2515180Z x = self.se(x) 2025-09-07T08:28:46.2515531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:28:46.2515619Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:28:46.2515624Z 2025-09-07T08:28:46.2515757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2516044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2516119Z return mod(*inputs) 2025-09-07T08:28:46.2516481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2516566Z x = self.forward_features(x) 2025-09-07T08:28:46.2516924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2517003Z x = self.blocks(x) 2025-09-07T08:28:46.2517354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2517433Z x = self.se(x) 2025-09-07T08:28:46.2517778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:28:46.2517861Z x_se = self.conv_reduce(x_se) 2025-09-07T08:28:46.2517866Z 2025-09-07T08:28:46.2518001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2518284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2518362Z return mod(*inputs) 2025-09-07T08:28:46.2518685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2518773Z x = self.forward_features(x) 2025-09-07T08:28:46.2519133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2519205Z x = self.blocks(x) 2025-09-07T08:28:46.2519563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2519632Z x = self.se(x) 2025-09-07T08:28:46.2519982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:28:46.2520061Z x_se = self.act1(x_se) 2025-09-07T08:28:46.2520066Z 2025-09-07T08:28:46.2520199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2520490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2520566Z return mod(*inputs) 2025-09-07T08:28:46.2520892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2520978Z x = self.forward_features(x) 2025-09-07T08:28:46.2521339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2521485Z x = self.blocks(x) 2025-09-07T08:28:46.2521840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2521911Z x = self.se(x) 2025-09-07T08:28:46.2522258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:28:46.2522344Z x_se = self.conv_expand(x_se) 2025-09-07T08:28:46.2522352Z 2025-09-07T08:28:46.2522488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2522774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2522853Z return mod(*inputs) 2025-09-07T08:28:46.2523213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2523300Z x = self.forward_features(x) 2025-09-07T08:28:46.2523663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2523735Z x = self.blocks(x) 2025-09-07T08:28:46.2524088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2524158Z x = self.se(x) 2025-09-07T08:28:46.2524506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2524621Z return x * self.gate(x_se) 2025-09-07T08:28:46.2524625Z 2025-09-07T08:28:46.2524762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2525050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2525129Z return mod(*inputs) 2025-09-07T08:28:46.2525455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2525541Z x = self.forward_features(x) 2025-09-07T08:28:46.2525902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2525977Z x = self.blocks(x) 2025-09-07T08:28:46.2526325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:28:46.2526396Z x = self.se(x) 2025-09-07T08:28:46.2526743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:28:46.2526828Z return x * self.gate(x_se) 2025-09-07T08:28:46.2526835Z 2025-09-07T08:28:46.2526932Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2527067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2527358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2527434Z return mod(*inputs) 2025-09-07T08:28:46.2527763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2527849Z x = self.forward_features(x) 2025-09-07T08:28:46.2528209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2528284Z x = self.blocks(x) 2025-09-07T08:28:46.2528635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2528718Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2529037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2529175Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2529513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2529650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2529743Z 2025-09-07T08:28:46.2529854Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2529988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2530275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2530353Z return mod(*inputs) 2025-09-07T08:28:46.2530676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2530766Z x = self.forward_features(x) 2025-09-07T08:28:46.2531124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2531196Z x = self.blocks(x) 2025-09-07T08:28:46.2531593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2531669Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2531991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:28:46.2532127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2532457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:28:46.2532594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:28:46.2532599Z 2025-09-07T08:28:46.2532693Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2532832Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2532967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2533255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2533331Z return mod(*inputs) 2025-09-07T08:28:46.2533655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2533743Z x = self.forward_features(x) 2025-09-07T08:28:46.2534106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2534182Z x = self.blocks(x) 2025-09-07T08:28:46.2534530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:28:46.2534607Z x = self.conv_pwl(x) 2025-09-07T08:28:46.2534924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:28:46.2535005Z x = torch.cat(x_out, 1) 2025-09-07T08:28:46.2535009Z 2025-09-07T08:28:46.2535146Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2535432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2535509Z return mod(*inputs) 2025-09-07T08:28:46.2535834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2535917Z x = self.forward_features(x) 2025-09-07T08:28:46.2536277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:28:46.2536350Z x = self.blocks(x) 2025-09-07T08:28:46.2536701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:28:46.2536785Z x = self.drop_path(x) + shortcut 2025-09-07T08:28:46.2536792Z 2025-09-07T08:28:46.2536925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2537209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2537287Z return mod(*inputs) 2025-09-07T08:28:46.2537613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:28:46.2537700Z x = self.forward_features(x) 2025-09-07T08:28:46.2538127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T08:28:46.2538214Z x = self.conv_head(x) 2025-09-07T08:28:46.2538219Z 2025-09-07T08:28:46.2538316Z cudagraph partition due to non gpu ops 2025-09-07T08:28:46.2538452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2538736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2538815Z return mod(*inputs) 2025-09-07T08:28:46.2539143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:28:46.2539223Z x = self.forward_head(x) 2025-09-07T08:28:46.2539609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:28:46.2539689Z x = self.global_pool(x) 2025-09-07T08:28:46.2540051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:28:46.2540122Z x = self.pool(x) 2025-09-07T08:28:46.2540126Z 2025-09-07T08:28:46.2540260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:28:46.2540549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:28:46.2540623Z return mod(*inputs) 2025-09-07T08:28:46.2540950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:28:46.2541064Z x = self.forward_head(x) 2025-09-07T08:28:46.2541406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T08:28:46.2541530Z return x if pre_logits else self.classifier(x) 2025-09-07T08:28:46.2541535Z 2025-09-07T08:29:38.8394684Z 2025-09-07T08:29:53.1859667Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T10:16:37.6727132Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T10:16:37.6736970Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:37.6737288Z env: 2025-09-07T10:16:37.6737470Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:37.6737865Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:37.6738292Z ##[endgroup] 2025-09-07T10:16:37.6766512Z + [[ -n '' ]] 2025-09-07T10:16:37.6766813Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T10:16:37.8916058Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T10:16:38.7733499Z Collecting boto3==1.35.33 2025-09-07T10:16:38.7887673Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T10:16:39.0435875Z Collecting psutil==7.0.0 2025-09-07T10:16:39.0474813Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279 kB) 2025-09-07T10:16:39.0737341Z Collecting pynvml==12.0.0 2025-09-07T10:16:39.0770611Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T10:16:39.0856852Z 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) 2025-09-07T10:16:40.1053926Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T10:16:40.1090812Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T10:16:40.2477132Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T10:16:40.2511244Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T10:16:40.2906534Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T10:16:40.2943705Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T10:16:40.3020041Z 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) 2025-09-07T10:16:40.3026575Z 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) 2025-09-07T10:16:40.5439684Z 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) 2025-09-07T10:16:40.6435492Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T10:16:41.3207803Z 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 2025-09-07T10:16:41.4011704Z + DEVICE_NAME= 2025-09-07T10:16:41.4011908Z + DEVICE_TYPE= 2025-09-07T10:16:41.4012109Z + command -v nvidia-smi 2025-09-07T10:16:41.4012324Z + command -v rocminfo 2025-09-07T10:16:41.4012526Z + echo DEVICE_NAME= 2025-09-07T10:16:41.4013737Z + echo DEVICE_TYPE= 2025-09-07T10:16:41.4034709Z ##[group]Run set -eux 2025-09-07T10:16:41.4034936Z set -eux 2025-09-07T10:16:41.4035115Z  2025-09-07T10:16:41.4035310Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T10:16:41.4035608Z  echo "Missing github-token input" 2025-09-07T10:16:41.4036032Z  exit 1 2025-09-07T10:16:41.4036206Z fi 2025-09-07T10:16:41.4043075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:41.4043390Z env: 2025-09-07T10:16:41.4043577Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:41.4043970Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:41.4044393Z DEVICE_NAME: 2025-09-07T10:16:41.4044582Z DEVICE_TYPE: 2025-09-07T10:16:41.4044959Z GITHUB_TOKEN: *** 2025-09-07T10:16:41.4045153Z ##[endgroup] 2025-09-07T10:16:41.4068085Z + [[ -z *** ]] 2025-09-07T10:16:41.4105792Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T10:16:41.4106156Z with: 2025-09-07T10:16:41.4106464Z github-token: *** 2025-09-07T10:16:41.4106652Z env: 2025-09-07T10:16:41.4106820Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:41.4107212Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:41.4107642Z DEVICE_NAME: 2025-09-07T10:16:41.4107823Z DEVICE_TYPE: 2025-09-07T10:16:41.4108003Z ##[endgroup] 2025-09-07T10:16:41.4120898Z ##[group]Run set -eux 2025-09-07T10:16:41.4121116Z set -eux 2025-09-07T10:16:41.4121306Z  2025-09-07T10:16:41.4121703Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T10:16:41.4127411Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:41.4127826Z env: 2025-09-07T10:16:41.4128213Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:41.4128686Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:41.4129148Z DEVICE_NAME: 2025-09-07T10:16:41.4129419Z DEVICE_TYPE: 2025-09-07T10:16:41.4129806Z GITHUB_TOKEN: *** 2025-09-07T10:16:41.4130052Z ##[endgroup] 2025-09-07T10:16:41.4153651Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525321311 i-00a51a90fcc907e9f 2025-09-07T10:16:42.9834352Z setting job-id=49775354772 2025-09-07T10:16:42.9834992Z setting job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T10:16:42.9929762Z ##[group]Run set -eux 2025-09-07T10:16:42.9930110Z set -eux 2025-09-07T10:16:42.9930339Z  2025-09-07T10:16:42.9930740Z if [[ -n "" ]]; then 2025-09-07T10:16:42.9931074Z  source "" 2025-09-07T10:16:42.9931306Z fi 2025-09-07T10:16:42.9931517Z  2025-09-07T10:16:42.9931919Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T10:16:42.9932418Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T10:16:42.9932742Z  --repo "${REPO}" \ 2025-09-07T10:16:42.9933084Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T10:16:42.9933415Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T10:16:42.9933722Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T10:16:42.9934110Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T10:16:42.9934442Z  --job-id "${JOB_ID}" \ 2025-09-07T10:16:42.9934864Z  --job-name "${JOB_NAME}" 2025-09-07T10:16:42.9940941Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:42.9941420Z env: 2025-09-07T10:16:42.9941649Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:42.9942095Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:42.9942621Z DEVICE_NAME: 2025-09-07T10:16:42.9942832Z DEVICE_TYPE: 2025-09-07T10:16:42.9943051Z SCHEMA_VERSION: v3 2025-09-07T10:16:42.9943351Z REPO: pytorch/pytorch 2025-09-07T10:16:42.9943609Z HEAD_BRANCH: refs/heads/main 2025-09-07T10:16:42.9943896Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:16:42.9944276Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T10:16:42.9944657Z RUN_ATTEMPT: 1 2025-09-07T10:16:42.9944917Z JOB_ID: 49775354772 2025-09-07T10:16:42.9945415Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T10:16:42.9945967Z ##[endgroup] 2025-09-07T10:16:42.9969389Z + [[ -n '' ]] 2025-09-07T10:16:42.9971390Z + 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 17525321311 --run-attempt 1 --job-id 49775354772 --job-name 'linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)' 2025-09-07T10:16:43.0262497Z ##[group]Run set -eux 2025-09-07T10:16:43.0262717Z set -eux 2025-09-07T10:16:43.0262902Z  2025-09-07T10:16:43.0263077Z if [[ -n "" ]]; then 2025-09-07T10:16:43.0263378Z  source "" 2025-09-07T10:16:43.0263572Z fi 2025-09-07T10:16:43.0263737Z  2025-09-07T10:16:43.0264068Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T10:16:43.0270189Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:43.0270517Z env: 2025-09-07T10:16:43.0270694Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:43.0271104Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:43.0271524Z DEVICE_NAME: 2025-09-07T10:16:43.0271706Z DEVICE_TYPE: 2025-09-07T10:16:43.0271885Z ##[endgroup] 2025-09-07T10:16:43.0292686Z + [[ -n '' ]] 2025-09-07T10:16:43.0293392Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T10:16:43.0683976Z INFO:root:Fail to import torch to get the device name 2025-09-07T10:16:43.0777198Z ##[group]Run set -eux 2025-09-07T10:16:43.0777428Z set -eux 2025-09-07T10:16:43.0777612Z  2025-09-07T10:16:43.0777817Z # TODO (huydhn): Implement this part 2025-09-07T10:16:43.0778148Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T10:16:43.0783712Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:43.0784033Z env: 2025-09-07T10:16:43.0784211Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:43.0784812Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:43.0785256Z DEVICE_NAME: 2025-09-07T10:16:43.0785439Z DEVICE_TYPE: 2025-09-07T10:16:43.0785622Z ##[endgroup] 2025-09-07T10:16:43.0806755Z + echo 'dependencies={}' 2025-09-07T10:16:43.0824516Z ##[group]Run set -eux 2025-09-07T10:16:43.0824745Z set -eux 2025-09-07T10:16:43.0824927Z  2025-09-07T10:16:43.0825097Z if [[ -n "" ]]; then 2025-09-07T10:16:43.0825312Z  source "" 2025-09-07T10:16:43.0825511Z fi 2025-09-07T10:16:43.0825672Z  2025-09-07T10:16:43.0825887Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T10:16:43.0826254Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T10:16:43.0826816Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T10:16:43.0827143Z  exit 0 2025-09-07T10:16:43.0827322Z fi 2025-09-07T10:16:43.0827483Z  2025-09-07T10:16:43.0827682Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T10:16:43.0828092Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T10:16:43.0828563Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T10:16:43.0828926Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T10:16:43.0829220Z  --runners "${RUNNER_INFO}" \ 2025-09-07T10:16:43.0829514Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T10:16:43.0829907Z  --dry-run 2025-09-07T10:16:43.0830109Z else 2025-09-07T10:16:43.0830427Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T10:16:43.0830898Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T10:16:43.0831261Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T10:16:43.0831557Z  --runners "${RUNNER_INFO}" \ 2025-09-07T10:16:43.0831849Z  --dependencies "${DEPENDENCIES}" 2025-09-07T10:16:43.0832113Z fi 2025-09-07T10:16:43.0837543Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:43.0837854Z env: 2025-09-07T10:16:43.0838021Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:43.0838414Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:43.0838834Z DEVICE_NAME: 2025-09-07T10:16:43.0839015Z DEVICE_TYPE: 2025-09-07T10:16:43.0839226Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T10:16:43.0839490Z DRY_RUN: false 2025-09-07T10:16:43.0840708Z BENCHMARK_METADATA: {"timestamp": 1757240203, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354772} 2025-09-07T10:16:43.0842301Z RUNNER_INFO: [{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-15-55.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T10:16:43.0842858Z DEPENDENCIES: {} 2025-09-07T10:16:43.0843043Z ##[endgroup] 2025-09-07T10:16:43.0863668Z + [[ -n '' ]] 2025-09-07T10:16:43.0863880Z + [[ ! -d test/test-reports ]] 2025-09-07T10:16:43.0864117Z + [[ false == \t\r\u\e ]] 2025-09-07T10:16:43.0866800Z + 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": 1757240203, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354772}' --runners '[{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-15-55.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T10:16:43.2134336Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T10:16:43.2392701Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T10:16:43.3935107Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T10:16:43.4992578Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T10:16:43.5762687Z INFO:root:Upload test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T10:16:43.6591525Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T10:16:43.7313485Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T10:16:43.8148718Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T10:16:43.9022529Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T10:16:43.9820552Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T10:16:44.0920616Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T10:16:44.1662168Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T10:16:44.2458736Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T10:16:44.3572222Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354772/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T10:16:44.4822723Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T10:16:44.4823134Z cat test/**/*_toprint.log || true 2025-09-07T10:16:44.4829482Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:44.4829805Z env: 2025-09-07T10:16:44.4829982Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:44.4830384Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:44.4830817Z DEVICE_NAME: 2025-09-07T10:16:44.4831004Z DEVICE_TYPE: 2025-09-07T10:16:44.4831184Z ##[endgroup] 2025-09-07T10:16:44.4906361Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T10:16:44.5031963Z Prepare all required actions 2025-09-07T10:16:44.5032370Z Getting action download info 2025-09-07T10:16:44.6719420Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T10:16:44.8555059Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T10:16:45.1601190Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T10:16:45.1601495Z with: 2025-09-07T10:16:45.1601849Z file-suffix: test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T10:16:45.1602286Z s3-bucket: gha-artifacts 2025-09-07T10:16:45.1602492Z env: 2025-09-07T10:16:45.1602661Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.1603228Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.1603650Z DEVICE_NAME: 2025-09-07T10:16:45.1603831Z DEVICE_TYPE: 2025-09-07T10:16:45.1604007Z ##[endgroup] 2025-09-07T10:16:45.1624411Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T10:16:45.1624809Z # Remove any previous test jsons if they exist 2025-09-07T10:16:45.1625122Z rm -f test-jsons-*.zip 2025-09-07T10:16:45.1625485Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T10:16:45.1631720Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:45.1632033Z env: 2025-09-07T10:16:45.1632200Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.1632597Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.1633016Z DEVICE_NAME: 2025-09-07T10:16:45.1633197Z DEVICE_TYPE: 2025-09-07T10:16:45.1633552Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T10:16:45.1633972Z ##[endgroup] 2025-09-07T10:16:45.1745041Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T10:16:45.1752010Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T10:16:45.1758975Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T10:16:45.1766075Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T10:16:45.1772916Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T10:16:45.1782774Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T10:16:45.1804428Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T10:16:45.1814407Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T10:16:45.1836413Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T10:16:45.1846230Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T10:16:45.1867987Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T10:16:45.1877758Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T10:16:45.1891998Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T10:16:45.1932894Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T10:16:45.1933519Z # Remove any previous test reports if they exist 2025-09-07T10:16:45.1933946Z rm -f test-reports-*.zip 2025-09-07T10:16:45.1934351Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T10:16:45.1940184Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:45.1940501Z env: 2025-09-07T10:16:45.1940671Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.1941064Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.1941482Z DEVICE_NAME: 2025-09-07T10:16:45.1941662Z DEVICE_TYPE: 2025-09-07T10:16:45.1942018Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T10:16:45.1942562Z ##[endgroup] 2025-09-07T10:16:45.2007822Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T10:16:45.2008665Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T10:16:45.2009484Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T10:16:45.2010283Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T10:16:45.2011094Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 52%) 2025-09-07T10:16:45.2011929Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 45%) 2025-09-07T10:16:45.2012855Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 47%) 2025-09-07T10:16:45.2013766Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 45%) 2025-09-07T10:16:45.2014658Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 46%) 2025-09-07T10:16:45.2015725Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T10:16:45.2016671Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 47%) 2025-09-07T10:16:45.2017584Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 45%) 2025-09-07T10:16:45.2018495Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 46%) 2025-09-07T10:16:45.2035323Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T10:16:45.2035712Z # Remove any previous usage logs if they exist 2025-09-07T10:16:45.2036019Z rm -f logs-*.zip 2025-09-07T10:16:45.2036324Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T10:16:45.2036757Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T10:16:45.2042228Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:45.2042546Z env: 2025-09-07T10:16:45.2042718Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.2043112Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.2043534Z DEVICE_NAME: 2025-09-07T10:16:45.2043714Z DEVICE_TYPE: 2025-09-07T10:16:45.2044069Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T10:16:45.2044483Z ##[endgroup] 2025-09-07T10:16:45.2082333Z zip warning: name not matched: usage_log.txt 2025-09-07T10:16:45.2082548Z 2025-09-07T10:16:45.2082875Z zip error: Nothing to do! (logs-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip) 2025-09-07T10:16:45.2092325Z zip warning: zip file empty 2025-09-07T10:16:45.2132011Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T10:16:45.2132469Z # Remove any previous debugging artifacts if they exist 2025-09-07T10:16:45.2132811Z rm -f debug-*.zip 2025-09-07T10:16:45.2133052Z if [ -d 'test/debug' ]; then 2025-09-07T10:16:45.2133355Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T10:16:45.2133645Z fi 2025-09-07T10:16:45.2139214Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:45.2139540Z env: 2025-09-07T10:16:45.2139718Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.2160721Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.2161288Z DEVICE_NAME: 2025-09-07T10:16:45.2161468Z DEVICE_TYPE: 2025-09-07T10:16:45.2161832Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772 2025-09-07T10:16:45.2162249Z ##[endgroup] 2025-09-07T10:16:45.2230806Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:16:45.2231083Z with: 2025-09-07T10:16:45.2231256Z s3-bucket: gha-artifacts 2025-09-07T10:16:45.2231529Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:45.2231821Z retention-days: 14 2025-09-07T10:16:45.2232030Z if-no-files-found: warn 2025-09-07T10:16:45.2232253Z path: test-jsons-*.zip 2025-09-07T10:16:45.2232459Z name: artifact 2025-09-07T10:16:45.2232644Z region: us-east-1 2025-09-07T10:16:45.2232821Z env: 2025-09-07T10:16:45.2232991Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.2233385Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.2233807Z DEVICE_NAME: 2025-09-07T10:16:45.2233989Z DEVICE_TYPE: 2025-09-07T10:16:45.2234168Z ##[endgroup] 2025-09-07T10:16:45.4949617Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T10:16:45.4950008Z With the provided path, there will be 1 file uploaded 2025-09-07T10:16:45.4950420Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:45.4990313Z Starting upload of test-jsons-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:45.6388892Z Finished upload of test-jsons-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:45.6605400Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:16:45.6605671Z with: 2025-09-07T10:16:45.6605846Z s3-bucket: gha-artifacts 2025-09-07T10:16:45.6606118Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:45.6606411Z retention-days: 14 2025-09-07T10:16:45.6606617Z if-no-files-found: error 2025-09-07T10:16:45.6606845Z path: test-reports-*.zip 2025-09-07T10:16:45.6607069Z name: artifact 2025-09-07T10:16:45.6607255Z region: us-east-1 2025-09-07T10:16:45.6607433Z env: 2025-09-07T10:16:45.6607601Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:45.6608007Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:45.6608437Z DEVICE_NAME: 2025-09-07T10:16:45.6608617Z DEVICE_TYPE: 2025-09-07T10:16:45.6608796Z ##[endgroup] 2025-09-07T10:16:45.9202354Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T10:16:45.9202731Z With the provided path, there will be 1 file uploaded 2025-09-07T10:16:45.9203120Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:45.9242084Z Starting upload of test-reports-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:46.0426706Z Finished upload of test-reports-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:46.0634955Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:16:46.0635243Z with: 2025-09-07T10:16:46.0635423Z s3-bucket: gha-artifacts 2025-09-07T10:16:46.0635695Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:46.0635988Z retention-days: 14 2025-09-07T10:16:46.0636424Z if-no-files-found: ignore 2025-09-07T10:16:46.0636740Z path: logs-*.zip 2025-09-07T10:16:46.0636931Z name: artifact 2025-09-07T10:16:46.0637118Z region: us-east-1 2025-09-07T10:16:46.0637297Z env: 2025-09-07T10:16:46.0637469Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:46.0637870Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:46.0638293Z DEVICE_NAME: 2025-09-07T10:16:46.0638473Z DEVICE_TYPE: 2025-09-07T10:16:46.0638653Z ##[endgroup] 2025-09-07T10:16:46.3237541Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T10:16:46.3237919Z With the provided path, there will be 1 file uploaded 2025-09-07T10:16:46.3238308Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:46.3278373Z Starting upload of logs-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:46.4460663Z Finished upload of logs-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:46.4668305Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:16:46.4668589Z with: 2025-09-07T10:16:46.4668767Z s3-bucket: gha-artifacts 2025-09-07T10:16:46.4669036Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T10:16:46.4669328Z retention-days: 14 2025-09-07T10:16:46.4669538Z if-no-files-found: ignore 2025-09-07T10:16:46.4669762Z path: debug-*.zip 2025-09-07T10:16:46.4669950Z name: artifact 2025-09-07T10:16:46.4670134Z region: us-east-1 2025-09-07T10:16:46.4670317Z env: 2025-09-07T10:16:46.4670483Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:46.4670881Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:46.4671303Z DEVICE_NAME: 2025-09-07T10:16:46.4671490Z DEVICE_TYPE: 2025-09-07T10:16:46.4671666Z ##[endgroup] 2025-09-07T10:16:46.7194777Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T10:16:46.7401906Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T10:16:46.7402279Z # shellcheck disable=SC2156 2025-09-07T10:16:46.7402773Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T10:16:46.7409402Z shell: /usr/bin/bash -e {0} 2025-09-07T10:16:46.7409637Z env: 2025-09-07T10:16:46.7409811Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:46.7410210Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:46.7410636Z DEVICE_NAME: 2025-09-07T10:16:46.7410816Z DEVICE_TYPE: 2025-09-07T10:16:46.7410991Z ##[endgroup] 2025-09-07T10:16:46.9821602Z Prepare all required actions 2025-09-07T10:16:46.9821978Z Getting action download info 2025-09-07T10:16:47.1033129Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T10:16:47.1033445Z with: 2025-09-07T10:16:47.1033612Z job_id: 49775354772 2025-09-07T10:16:47.1034080Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T10:16:47.1034651Z workflow_name: inductor-perf-nightly-aarch64 2025-09-07T10:16:47.1034943Z workflow_run_id: 17525321311 2025-09-07T10:16:47.1035165Z workflow_attempt: 1 2025-09-07T10:16:47.1035356Z env: 2025-09-07T10:16:47.1035527Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:47.1035923Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:47.1036341Z DEVICE_NAME: 2025-09-07T10:16:47.1036524Z DEVICE_TYPE: 2025-09-07T10:16:47.1036703Z ##[endgroup] 2025-09-07T10:16:47.1051327Z ##[group]Run echo "workflow_id: 17525321311" 2025-09-07T10:16:47.1051636Z echo "workflow_id: 17525321311" 2025-09-07T10:16:47.1051907Z echo "workflow_attempt: 1" 2025-09-07T10:16:47.1052249Z echo "workflow_Name: inductor-perf-nightly-aarch64" 2025-09-07T10:16:47.1052584Z echo "job_id: 49775354772" 2025-09-07T10:16:47.1053133Z echo "job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)" 2025-09-07T10:16:47.1053833Z echo "artifact_prefix: " 2025-09-07T10:16:47.1054088Z python3 --version 2025-09-07T10:16:47.1059983Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:47.1060293Z env: 2025-09-07T10:16:47.1060461Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:47.1060856Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:47.1061275Z DEVICE_NAME: 2025-09-07T10:16:47.1061456Z DEVICE_TYPE: 2025-09-07T10:16:47.1061627Z ##[endgroup] 2025-09-07T10:16:47.1082934Z workflow_id: 17525321311 2025-09-07T10:16:47.1083160Z workflow_attempt: 1 2025-09-07T10:16:47.1083414Z workflow_Name: inductor-perf-nightly-aarch64 2025-09-07T10:16:47.1083823Z job_id: 49775354772 2025-09-07T10:16:47.1084293Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T10:16:47.1084807Z artifact_prefix: 2025-09-07T10:16:47.1094250Z Python 3.9.23 2025-09-07T10:16:47.1127599Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T10:16:47.1127847Z with: 2025-09-07T10:16:47.1128007Z shell: bash 2025-09-07T10:16:47.1128185Z timeout_minutes: 5 2025-09-07T10:16:47.1128381Z max_attempts: 5 2025-09-07T10:16:47.1128570Z retry_wait_seconds: 30 2025-09-07T10:16:47.1129036Z 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 2025-09-07T10:16:47.1129545Z polling_interval_seconds: 1 2025-09-07T10:16:47.1129779Z warning_on_retry: true 2025-09-07T10:16:47.1130003Z continue_on_error: false 2025-09-07T10:16:47.1130209Z env: 2025-09-07T10:16:47.1130377Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:47.1130774Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:47.1131194Z DEVICE_NAME: 2025-09-07T10:16:47.1131371Z DEVICE_TYPE: 2025-09-07T10:16:47.1131547Z ##[endgroup] 2025-09-07T10:16:47.4178829Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T10:16:47.4831720Z Collecting python-dateutil==2.8.2 2025-09-07T10:16:47.4980931Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T10:16:48.3398039Z Collecting boto3==1.35.42 2025-09-07T10:16:48.3436444Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T10:16:48.7744122Z Collecting pandas==2.1.3 2025-09-07T10:16:48.7795067Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.9 MB) 2025-09-07T10:16:48.9491328Z Collecting dataclasses_json==0.6.7 2025-09-07T10:16:48.9510668Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T10:16:48.9535592Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T10:16:48.9578456Z 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) 2025-09-07T10:16:48.9582283Z 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) 2025-09-07T10:16:48.9592074Z 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) 2025-09-07T10:16:49.7017601Z Collecting numpy<2,>=1.22.4 2025-09-07T10:16:49.7058396Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.2 MB) 2025-09-07T10:16:49.8407682Z Collecting tzdata>=2022.1 2025-09-07T10:16:49.8445003Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T10:16:49.8539139Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T10:16:49.9465130Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T10:16:49.9484775Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T10:16:49.9646858Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T10:16:49.9667292Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T10:16:49.9749010Z 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) 2025-09-07T10:16:50.0179337Z Collecting packaging>=17.0 2025-09-07T10:16:50.0199140Z Using cached packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T10:16:50.0439861Z Collecting mypy-extensions>=0.3.0 2025-09-07T10:16:50.0459569Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T10:16:50.0838799Z Collecting typing-extensions>=3.7.4 2025-09-07T10:16:50.0858579Z Using cached typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T10:16:50.2809360Z Installing collected packages: python-dateutil, typing-extensions, packaging, mypy-extensions, tzdata, typing-inspect, numpy, marshmallow, pandas, dataclasses-json, boto3 2025-09-07T10:16:55.2942860Z Attempting uninstall: boto3 2025-09-07T10:16:55.2944070Z Found existing installation: boto3 1.35.33 2025-09-07T10:16:55.3033352Z Uninstalling boto3-1.35.33: 2025-09-07T10:16:55.3046199Z Successfully uninstalled boto3-1.35.33 2025-09-07T10:16:55.3572453Z Successfully installed boto3-1.35.42 dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 numpy-1.26.4 packaging-25.0 pandas-2.1.3 python-dateutil-2.8.2 typing-extensions-4.15.0 typing-inspect-0.9.0 tzdata-2025.2 2025-09-07T10:16:56.1881908Z Command completed after 1 attempt(s). 2025-09-07T10:16:56.1933178Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T10:16:56.1933798Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T10:16:56.1934231Z  --workflow-run-id "17525321311" \ 2025-09-07T10:16:56.1934588Z  --workflow-name "inductor-perf-nightly-aarch64" \ 2025-09-07T10:16:56.1934939Z  --workflow-run-attempt "1" \ 2025-09-07T10:16:56.1935209Z  --job-id "49775354772" \ 2025-09-07T10:16:56.1935763Z  --job-name "linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)" \ 2025-09-07T10:16:56.1936317Z  --local-path "" \ 2025-09-07T10:16:56.1936560Z  --artifact-prefix "" 2025-09-07T10:16:56.1942865Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:56.1943190Z env: 2025-09-07T10:16:56.1943364Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:56.1943764Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:56.1944415Z DEVICE_NAME: 2025-09-07T10:16:56.1944610Z DEVICE_TYPE: 2025-09-07T10:16:56.1944791Z ##[endgroup] 2025-09-07T10:16:56.7702158Z repo: pytorch/pytorch 2025-09-07T10:16:56.7702472Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T10:16:56.7702990Z Downloading logs-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:56.7703754Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354772.zip 2025-09-07T10:16:56.7704602Z ::warning trying to download test log failed by: "There is no item named 'usage_log.txt' in the archive" 2025-09-07T10:16:56.7705154Z [Log Model] Failed to process test log, metadata is None 2025-09-07T10:16:56.8528932Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T10:16:56.8529342Z with: 2025-09-07T10:16:56.8529500Z env: 2025-09-07T10:16:56.8529670Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:56.8530073Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:56.8530496Z DEVICE_NAME: 2025-09-07T10:16:56.8530674Z DEVICE_TYPE: 2025-09-07T10:16:56.8530864Z ##[endgroup] 2025-09-07T10:16:56.8544777Z ##[group]Run set -eou pipefail 2025-09-07T10:16:56.8545048Z set -eou pipefail 2025-09-07T10:16:56.8545265Z  2025-09-07T10:16:56.8545571Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T10:16:56.8546083Z for _ in $(seq 1440); do 2025-09-07T10:16:56.8546364Z  # Break if no ssh session exists anymore 2025-09-07T10:16:56.8546656Z  if [ "$(who)" = "" ]; then 2025-09-07T10:16:56.8546901Z  break 2025-09-07T10:16:56.8547111Z  fi 2025-09-07T10:16:56.8547294Z  echo "." 2025-09-07T10:16:56.8547486Z  sleep 5 2025-09-07T10:16:56.8547676Z done 2025-09-07T10:16:56.8554143Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:56.8554460Z env: 2025-09-07T10:16:56.8554635Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:56.8555029Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:56.8555579Z DEVICE_NAME: 2025-09-07T10:16:56.8555761Z DEVICE_TYPE: 2025-09-07T10:16:56.8555937Z ##[endgroup] 2025-09-07T10:16:56.8578515Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T10:16:56.8651060Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T10:16:56.8651611Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T10:16:56.8651970Z # shellcheck disable=SC2046 2025-09-07T10:16:56.8652267Z docker stop $(docker ps -q) || true 2025-09-07T10:16:56.8652560Z # Prune all of the docker images 2025-09-07T10:16:56.8652833Z docker system prune -af 2025-09-07T10:16:56.8658339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:16:56.8658651Z env: 2025-09-07T10:16:56.8658824Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:16:56.8659221Z DOCKER_CONTAINER_ID: 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:16:56.8659652Z DEVICE_NAME: 2025-09-07T10:16:56.8659833Z DEVICE_TYPE: 2025-09-07T10:16:56.8660011Z ##[endgroup] 2025-09-07T10:17:07.8653146Z 8dc5a7a82464 2025-09-07T10:17:08.3043472Z Deleted Containers: 2025-09-07T10:17:08.3043842Z 8dc5a7a82464d4ac14cbcc66df0d0fffcc70991148d6eb420b5e326bb7543056 2025-09-07T10:17:08.3044130Z 2025-09-07T10:17:14.9821529Z Deleted Images: 2025-09-07T10:17:14.9822392Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T10:17:14.9823590Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:c8bf3aa0f88e5662ff72435fb728fa2432ad59709b953fd68e95432215dfee4a 2025-09-07T10:17:14.9824376Z deleted: sha256:2e41fa7f17d613e4abb96e4b9f7f4a2b2a08134df169ebcbcbc5a819408dc5b3 2025-09-07T10:17:14.9824931Z deleted: sha256:6652ecf65d8c4cd0c3717dc16a11439cde78848e05f81f231f3a87c2bdca3e31 2025-09-07T10:17:14.9825487Z deleted: sha256:cdacb207081fe2073693646a77441b430d48e78fc30b78acab75e11e4760c572 2025-09-07T10:17:14.9826029Z deleted: sha256:683e8048cce4d643d0f939a1f8c9c5c3c0ce002dc48c0fa451fe18d0b1c48de3 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2025-09-07T10:17:14.9867097Z deleted: sha256:3e04ae02e3b48a52cd15f8595efd67e8ab7b3e9766f7d1e12a25c8c76f3a86bf 2025-09-07T10:17:14.9867424Z 2025-09-07T10:17:14.9867527Z Total reclaimed space: 28.59GB 2025-09-07T10:17:14.9963645Z Post job cleanup. 2025-09-07T10:17:15.0003206Z Post job cleanup. 2025-09-07T10:17:15.0858855Z [command]/usr/bin/git version 2025-09-07T10:17:15.0895874Z git version 2.47.1 2025-09-07T10:17:15.0930029Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/12e501c9-ef83-438f-a8e1-f4ba58d5cd6c/.gitconfig' 2025-09-07T10:17:15.0938858Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/12e501c9-ef83-438f-a8e1-f4ba58d5cd6c' before making global git config changes 2025-09-07T10:17:15.0940129Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T10:17:15.0944487Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T10:17:15.0979819Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T10:17:15.1018445Z [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' || :" 2025-09-07T10:17:15.1299288Z Entering 'android/libs/fbjni' 2025-09-07T10:17:15.1353448Z Entering 'third_party/FP16' 2025-09-07T10:17:15.1409305Z Entering 'third_party/FXdiv' 2025-09-07T10:17:15.1464118Z Entering 'third_party/NNPACK' 2025-09-07T10:17:15.1519361Z Entering 'third_party/NVTX' 2025-09-07T10:17:15.1575438Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T10:17:15.1629665Z Entering 'third_party/XNNPACK' 2025-09-07T10:17:15.1694770Z Entering 'third_party/aiter' 2025-09-07T10:17:15.1748289Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T10:17:15.1807509Z Entering 'third_party/benchmark' 2025-09-07T10:17:15.1862551Z Entering 'third_party/composable_kernel' 2025-09-07T10:17:15.1921950Z Entering 'third_party/cpp-httplib' 2025-09-07T10:17:15.1976437Z Entering 'third_party/cpuinfo' 2025-09-07T10:17:15.2031635Z Entering 'third_party/cudnn_frontend' 2025-09-07T10:17:15.2085716Z Entering 'third_party/cutlass' 2025-09-07T10:17:15.2147089Z Entering 'third_party/fbgemm' 2025-09-07T10:17:15.2202853Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T10:17:15.2255011Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T10:17:15.2310429Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T10:17:15.2361928Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T10:17:15.2421285Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T10:17:15.2473325Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T10:17:15.2525058Z Entering 'third_party/fbgemm/external/json' 2025-09-07T10:17:15.2579501Z Entering 'third_party/flash-attention' 2025-09-07T10:17:15.2634018Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T10:17:15.2690978Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T10:17:15.2751189Z Entering 'third_party/flatbuffers' 2025-09-07T10:17:15.2807136Z Entering 'third_party/fmt' 2025-09-07T10:17:15.2861828Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T10:17:15.2917156Z Entering 'third_party/gloo' 2025-09-07T10:17:15.2970241Z Entering 'third_party/googletest' 2025-09-07T10:17:15.3024383Z Entering 'third_party/ideep' 2025-09-07T10:17:15.3077389Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T10:17:15.3135539Z Entering 'third_party/ittapi' 2025-09-07T10:17:15.3189807Z Entering 'third_party/kineto' 2025-09-07T10:17:15.3242243Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T10:17:15.3292705Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T10:17:15.3345889Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T10:17:15.3397332Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T10:17:15.3448832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T10:17:15.3498865Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T10:17:15.3553896Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T10:17:15.3607073Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T10:17:15.3658100Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T10:17:15.3710171Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T10:17:15.3763988Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T10:17:15.3814836Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T10:17:15.3868548Z Entering 'third_party/kleidiai' 2025-09-07T10:17:15.3923104Z Entering 'third_party/mimalloc' 2025-09-07T10:17:15.3976186Z Entering 'third_party/nlohmann' 2025-09-07T10:17:15.4030058Z Entering 'third_party/onnx' 2025-09-07T10:17:15.4095687Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T10:17:15.4151468Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T10:17:15.4204842Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T10:17:15.4255778Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T10:17:15.4307697Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T10:17:15.4358660Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T10:17:15.4411445Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T10:17:15.4462398Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T10:17:15.4512010Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T10:17:15.4561772Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T10:17:15.4613894Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T10:17:15.4667449Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T10:17:15.4733656Z Entering 'third_party/pocketfft' 2025-09-07T10:17:15.4787169Z Entering 'third_party/protobuf' 2025-09-07T10:17:15.4841621Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T10:17:15.4893206Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T10:17:15.4947632Z Entering 'third_party/psimd' 2025-09-07T10:17:15.5002375Z Entering 'third_party/pthreadpool' 2025-09-07T10:17:15.5057396Z Entering 'third_party/pybind11' 2025-09-07T10:17:15.5111222Z Entering 'third_party/python-peachpy' 2025-09-07T10:17:15.5164174Z Entering 'third_party/sleef' 2025-09-07T10:17:15.5217593Z Entering 'third_party/tensorpipe' 2025-09-07T10:17:15.5271309Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T10:17:15.5322506Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T10:17:15.5373686Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T10:17:15.5425553Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T10:17:15.5476048Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T10:17:15.5552158Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T10:17:15.5572258Z http.https://github.com/.extraheader 2025-09-07T10:17:15.5582330Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T10:17:15.5613689Z [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' || :" 2025-09-07T10:17:15.5885145Z Entering 'android/libs/fbjni' 2025-09-07T10:17:15.5920601Z http.https://github.com/.extraheader 2025-09-07T10:17:15.5954631Z Entering 'third_party/FP16' 2025-09-07T10:17:15.5990809Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6024326Z Entering 'third_party/FXdiv' 2025-09-07T10:17:15.6060638Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6094126Z Entering 'third_party/NNPACK' 2025-09-07T10:17:15.6131282Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6166740Z Entering 'third_party/NVTX' 2025-09-07T10:17:15.6202626Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6236403Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T10:17:15.6272481Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6305846Z Entering 'third_party/XNNPACK' 2025-09-07T10:17:15.6343033Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6386629Z Entering 'third_party/aiter' 2025-09-07T10:17:15.6421313Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6455036Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T10:17:15.6489226Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6528797Z Entering 'third_party/benchmark' 2025-09-07T10:17:15.6564911Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6598536Z Entering 'third_party/composable_kernel' 2025-09-07T10:17:15.6634312Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6675032Z Entering 'third_party/cpp-httplib' 2025-09-07T10:17:15.6710878Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6743504Z Entering 'third_party/cpuinfo' 2025-09-07T10:17:15.6778784Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6812230Z Entering 'third_party/cudnn_frontend' 2025-09-07T10:17:15.6848428Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6882328Z Entering 'third_party/cutlass' 2025-09-07T10:17:15.6917648Z http.https://github.com/.extraheader 2025-09-07T10:17:15.6956843Z Entering 'third_party/fbgemm' 2025-09-07T10:17:15.6993191Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7028155Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T10:17:15.7062885Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7095756Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T10:17:15.7131369Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7168903Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T10:17:15.7203158Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7235479Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T10:17:15.7270139Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7308441Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T10:17:15.7342346Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7374557Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T10:17:15.7408858Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7440597Z Entering 'third_party/fbgemm/external/json' 2025-09-07T10:17:15.7474859Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7510456Z Entering 'third_party/flash-attention' 2025-09-07T10:17:15.7545362Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7578336Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T10:17:15.7611922Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7648699Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T10:17:15.7683409Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7723717Z Entering 'third_party/flatbuffers' 2025-09-07T10:17:15.7758673Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7793591Z Entering 'third_party/fmt' 2025-09-07T10:17:15.7829004Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7862825Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T10:17:15.7898094Z http.https://github.com/.extraheader 2025-09-07T10:17:15.7931552Z Entering 'third_party/gloo' 2025-09-07T10:17:15.7968143Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8001977Z Entering 'third_party/googletest' 2025-09-07T10:17:15.8037264Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8071298Z Entering 'third_party/ideep' 2025-09-07T10:17:15.8106964Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8140336Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T10:17:15.8174064Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8212921Z Entering 'third_party/ittapi' 2025-09-07T10:17:15.8248931Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8282410Z Entering 'third_party/kineto' 2025-09-07T10:17:15.8317047Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8349701Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T10:17:15.8384063Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8416426Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T10:17:15.8450723Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8485014Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T10:17:15.8519762Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8552853Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T10:17:15.8587209Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8619701Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T10:17:15.8654767Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8687059Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T10:17:15.8721094Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8755545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T10:17:15.8789520Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8821661Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T10:17:15.8855984Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8889595Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T10:17:15.8923816Z http.https://github.com/.extraheader 2025-09-07T10:17:15.8957020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T10:17:15.8992344Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9028178Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T10:17:15.9062620Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9096012Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T10:17:15.9130872Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9166493Z Entering 'third_party/kleidiai' 2025-09-07T10:17:15.9202498Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9236156Z Entering 'third_party/mimalloc' 2025-09-07T10:17:15.9272610Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9306627Z Entering 'third_party/nlohmann' 2025-09-07T10:17:15.9342229Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9376352Z Entering 'third_party/onnx' 2025-09-07T10:17:15.9412183Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9458866Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T10:17:15.9494623Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9531553Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T10:17:15.9568236Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9602983Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T10:17:15.9638063Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9670914Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T10:17:15.9705875Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9738523Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T10:17:15.9773496Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9805903Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T10:17:15.9840556Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9875545Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T10:17:15.9910472Z http.https://github.com/.extraheader 2025-09-07T10:17:15.9943614Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T10:17:15.9977974Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0010493Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T10:17:16.0044958Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0077351Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T10:17:16.0112007Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0146348Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T10:17:16.0181199Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0216398Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T10:17:16.0251437Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0298943Z Entering 'third_party/pocketfft' 2025-09-07T10:17:16.0335274Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0368811Z Entering 'third_party/protobuf' 2025-09-07T10:17:16.0404643Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0440211Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T10:17:16.0475510Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0508394Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T10:17:16.0542780Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0577721Z Entering 'third_party/psimd' 2025-09-07T10:17:16.0613596Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0646915Z Entering 'third_party/pthreadpool' 2025-09-07T10:17:16.0682874Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0716978Z Entering 'third_party/pybind11' 2025-09-07T10:17:16.0752992Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0786724Z Entering 'third_party/python-peachpy' 2025-09-07T10:17:16.0822938Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0855733Z Entering 'third_party/sleef' 2025-09-07T10:17:16.0891610Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0924179Z Entering 'third_party/tensorpipe' 2025-09-07T10:17:16.0959534Z http.https://github.com/.extraheader 2025-09-07T10:17:16.0992548Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T10:17:16.1027248Z http.https://github.com/.extraheader 2025-09-07T10:17:16.1060110Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T10:17:16.1094948Z http.https://github.com/.extraheader 2025-09-07T10:17:16.1127299Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T10:17:16.1161968Z http.https://github.com/.extraheader 2025-09-07T10:17:16.1193601Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T10:17:16.1227270Z http.https://github.com/.extraheader 2025-09-07T10:17:16.1258354Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T10:17:16.1293065Z http.https://github.com/.extraheader 2025-09-07T10:17:16.1423882Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T10:17:16.1441232Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T10:17:16.1446945Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:17:16.1447275Z ##[endgroup] 2025-09-07T10:17:16.1525907Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T10:17:25.8936704Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T10:17:42.3754382Z Cleaning up orphan processes