2025-09-07T07:27:14.7039768Z Current runner version: '2.328.0' 2025-09-07T07:27:14.7046619Z Runner name: 'i-0fa0d208f43533168' 2025-09-07T07:27:14.7047765Z Runner group name: 'default' 2025-09-07T07:27:14.7048794Z Machine name: 'ip-10-0-74-69' 2025-09-07T07:27:14.7052454Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:27:14.7055361Z Contents: read 2025-09-07T07:27:14.7056047Z Metadata: read 2025-09-07T07:27:14.7056798Z ##[endgroup] 2025-09-07T07:27:14.7059302Z Secret source: Actions 2025-09-07T07:27:14.7060298Z Prepare workflow directory 2025-09-07T07:27:14.7605711Z Prepare all required actions 2025-09-07T07:27:14.7646628Z Getting action download info 2025-09-07T07:27:15.0617222Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:27:16.9334818Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:29.7061755Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:27:30.0230088Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:27:30.2239667Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:27:30.3756133Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:27:30.7563779Z Getting action download info 2025-09-07T07:27:30.8848468Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:27:31.1109127Z Getting action download info 2025-09-07T07:27:31.2266714Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:27:31.4172145Z Getting action download info 2025-09-07T07:27:31.5497856Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:27:31.7350367Z Getting action download info 2025-09-07T07:27:31.9604687Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:31.9609282Z ##[group] Inputs 2025-09-07T07:27:31.9609684Z build-environment: linux-jammy-aarch64-py3.10 2025-09-07T07:27:31.9622587Z 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"}]} 2025-09-07T07:27:31.9636010Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:27:31.9636853Z sync-tag: 2025-09-07T07:27:31.9637701Z timeout-minutes: 720 2025-09-07T07:27:31.9637943Z use-gha: 2025-09-07T07:27:31.9638461Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:27:31.9639056Z s3-bucket: gha-artifacts 2025-09-07T07:27:31.9639293Z aws-role-to-assume: 2025-09-07T07:27:31.9639856Z disable-monitor: false 2025-09-07T07:27:31.9640136Z monitor-log-interval: 15 2025-09-07T07:27:31.9640412Z monitor-data-collect-interval: 4 2025-09-07T07:27:31.9640696Z ##[endgroup] 2025-09-07T07:27:31.9641195Z Complete job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:27:32.0749132Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:27:32.0861556Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:27:32.0871702Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:32.0872338Z ##[endgroup] 2025-09-07T07:27:33.2656121Z Runner Type: linux.arm64.m7g.metal 2025-09-07T07:27:33.2656526Z Instance Type: m7g.metal 2025-09-07T07:27:33.2656747Z AMI Name: unknown 2025-09-07T07:27:33.2682770Z AMI ID: ami-022bbd2ccaf21691f 2025-09-07T07:27:38.3312442Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:27:38.3312887Z with: 2025-09-07T07:27:38.3313415Z github-secret: *** 2025-09-07T07:27:38.3314053Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:27:38.3314723Z activate-with-label: false 2025-09-07T07:27:38.3314956Z label: with-ssh 2025-09-07T07:27:38.3315167Z remove-existing-keys: true 2025-09-07T07:27:38.3315441Z fail-silently: true 2025-09-07T07:27:38.3315661Z env: 2025-09-07T07:27:38.3315844Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:38.3316089Z ##[endgroup] 2025-09-07T07:27:38.4386744Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:27:38.4388310Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:27:38.4569492Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:27:38.4569930Z with: 2025-09-07T07:27:38.4570108Z no-sudo: true 2025-09-07T07:27:38.4570307Z submodules: recursive 2025-09-07T07:27:38.4570541Z fetch-depth: 0 2025-09-07T07:27:38.4570725Z env: 2025-09-07T07:27:38.4570903Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:38.4571119Z ##[endgroup] 2025-09-07T07:27:38.4679962Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:38.4680830Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:38.4691036Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:38.4691387Z env: 2025-09-07T07:27:38.4691582Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:38.4691798Z ##[endgroup] 2025-09-07T07:27:38.5176669Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:27:38.5177075Z # Use all available CPUs for fetching 2025-09-07T07:27:38.5177391Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:27:38.5177731Z git config --global fetch.parallel 0 2025-09-07T07:27:38.5178066Z git config --global submodule.fetchJobs 0 2025-09-07T07:27:38.5178350Z  2025-09-07T07:27:38.5178658Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:27:38.5179069Z # do it here as well just in case 2025-09-07T07:27:38.5179341Z if [[ -d .git ]]; then 2025-09-07T07:27:38.5179588Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:27:38.5179865Z  sudo git clean -ffdx 2025-09-07T07:27:38.5180100Z  else 2025-09-07T07:27:38.5180294Z  git clean -ffdx 2025-09-07T07:27:38.5180513Z  fi 2025-09-07T07:27:38.5180685Z fi 2025-09-07T07:27:38.5188257Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:38.5188597Z env: 2025-09-07T07:27:38.5188869Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:38.5189119Z NO_SUDO: true 2025-09-07T07:27:38.5189297Z ##[endgroup] 2025-09-07T07:27:38.5380402Z ##[group]Run actions/checkout@v4 2025-09-07T07:27:38.5380656Z with: 2025-09-07T07:27:38.5380862Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:27:38.5381138Z fetch-depth: 0 2025-09-07T07:27:38.5381333Z submodules: recursive 2025-09-07T07:27:38.5381552Z show-progress: false 2025-09-07T07:27:38.5381778Z repository: pytorch/pytorch 2025-09-07T07:27:38.5382129Z token: *** 2025-09-07T07:27:38.5382308Z ssh-strict: true 2025-09-07T07:27:38.5382498Z ssh-user: git 2025-09-07T07:27:38.5382992Z persist-credentials: true 2025-09-07T07:27:38.5383227Z clean: true 2025-09-07T07:27:38.5383441Z sparse-checkout-cone-mode: true 2025-09-07T07:27:38.5383688Z fetch-tags: false 2025-09-07T07:27:38.5383877Z lfs: false 2025-09-07T07:27:38.5384067Z set-safe-directory: true 2025-09-07T07:27:38.5384285Z env: 2025-09-07T07:27:38.5384463Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:38.5384674Z ##[endgroup] 2025-09-07T07:27:38.7868236Z Syncing repository: pytorch/pytorch 2025-09-07T07:27:38.7869568Z ##[group]Getting Git version info 2025-09-07T07:27:38.7870006Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:38.7870598Z [command]/usr/bin/git version 2025-09-07T07:27:38.8076052Z git version 2.47.1 2025-09-07T07:27:38.8125118Z ##[endgroup] 2025-09-07T07:27:38.8134245Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/abfd0ea6-8987-4eae-a2df-f07592b1038b/.gitconfig' 2025-09-07T07:27:38.8153041Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/abfd0ea6-8987-4eae-a2df-f07592b1038b' before making global git config changes 2025-09-07T07:27:38.8153953Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:27:38.8158511Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:38.8201861Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:38.8204641Z ##[group]Initializing the repository 2025-09-07T07:27:38.8209187Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:38.8270200Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:27:38.8270738Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:27:38.8271272Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:27:38.8271632Z hint: 2025-09-07T07:27:38.8271911Z hint: git config --global init.defaultBranch 2025-09-07T07:27:38.8272209Z hint: 2025-09-07T07:27:38.8272505Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:27:38.8273026Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:27:38.8273408Z hint: 2025-09-07T07:27:38.8273598Z hint: git branch -m 2025-09-07T07:27:38.8285771Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:27:38.8296818Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:27:38.8336656Z ##[endgroup] 2025-09-07T07:27:38.8337074Z ##[group]Disabling automatic garbage collection 2025-09-07T07:27:38.8341927Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:27:38.8368211Z ##[endgroup] 2025-09-07T07:27:38.8368551Z ##[group]Setting up auth 2025-09-07T07:27:38.8375440Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:27:38.8402131Z [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' || :" 2025-09-07T07:27:38.8727657Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:27:38.8752343Z [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' || :" 2025-09-07T07:27:38.9059321Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:27:38.9100465Z ##[endgroup] 2025-09-07T07:27:38.9100840Z ##[group]Fetching the repository 2025-09-07T07:27:38.9108825Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:28:19.5670805Z From https://github.com/pytorch/pytorch 2025-09-07T07:28:19.5671231Z * [new branch] 160583 -> origin/160583 2025-09-07T07:28:19.5671666Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:28:19.5672236Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:28:19.5672780Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:28:19.5673391Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:28:19.5673899Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:28:19.5674474Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:28:19.5676183Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:28:19.5677101Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:28:19.5677881Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:28:19.5679020Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:28:19.5679697Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:28:19.5680554Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:28:19.5681541Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:28:19.5682368Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:28:19.5683455Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:28:19.5685154Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:28:19.5686129Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:28:19.5687097Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:28:19.5688036Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:28:19.5688903Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:28:19.5689841Z * [new branch] addsimde -> 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ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:28:20.0481605Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:28:20.0482150Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:28:20.0482827Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:28:20.0483353Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:28:20.0483955Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:28:20.0484550Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:28:20.0485041Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:28:20.0485573Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:28:20.0486090Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:28:20.0486719Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:28:20.0487239Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:28:20.0488020Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:28:20.0488616Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:28:20.0489141Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:28:20.0489689Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:28:20.0490311Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:28:20.0490741Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:28:20.0491274Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:28:20.0491758Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:28:20.0492300Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:28:20.0492828Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:28:20.0493357Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:28:20.0494098Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:28:20.0494846Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:28:20.0495516Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:28:20.0496509Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:28:20.0497145Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:28:20.0497733Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:28:20.0498278Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:28:20.0499258Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:28:20.0500087Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:28:20.0500690Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:28:20.0501228Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:28:20.0501908Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:28:20.0502592Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:28:20.0503304Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:28:20.0503811Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:28:20.0504510Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:28:20.0505264Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:28:20.0508159Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:28:20.0508759Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:28:20.0509329Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:28:20.0509833Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:28:20.0510342Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:28:20.0510863Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:28:20.0511370Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:28:20.0511898Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:28:20.0512403Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:28:20.0512933Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:28:20.0513433Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:28:20.0514124Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:28:20.0514810Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:28:20.0515574Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:28:20.0516205Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:28:20.0516910Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:28:20.0517566Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:28:20.0518126Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:28:20.0518728Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:28:20.0519341Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:28:20.0519979Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:28:20.0520696Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:28:20.0521228Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:28:20.0521788Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:28:20.0522496Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:28:20.0523038Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:28:20.0523737Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:28:20.0524301Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:28:20.0524983Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:28:20.0525675Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:28:20.0526245Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:28:20.0527135Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:28:20.0527927Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:28:20.0528649Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:28:20.0529411Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:28:20.0530004Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:28:20.0530646Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:28:20.0531292Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:28:20.0531855Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:28:20.0532623Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:28:20.0533757Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:28:20.0534319Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:28:20.0534921Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:28:20.0535449Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:28:20.0536026Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:28:20.0536610Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:28:20.0537146Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:28:20.0537691Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:28:20.0538328Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:28:20.0538932Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:28:20.0539556Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:28:20.0540138Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:28:20.0541024Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:28:20.0541572Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:28:20.0542156Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:28:20.0542698Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:28:20.0543285Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:28:20.0543924Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:28:20.0544447Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:28:20.0545188Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:28:20.0545786Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:28:20.0546322Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:28:20.0546883Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:28:20.0547446Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:28:20.0548170Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:28:20.0548715Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:28:20.0549239Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:28:20.0549913Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:28:20.0550676Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:28:20.0551288Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:28:20.0552044Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:28:20.0552631Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:28:20.0553215Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:28:20.0553742Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:28:20.0554431Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:28:20.0554975Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:28:20.0555521Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:28:20.0556083Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:28:20.0556636Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:28:20.0557588Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:28:20.0558181Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:28:20.0558726Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:28:20.0559298Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:28:20.0559840Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:28:20.0560507Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:28:20.0561013Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:28:20.0561575Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:28:20.0562090Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:28:20.0562668Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:28:20.0563262Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:28:20.0563915Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:28:20.0564498Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:28:20.0565022Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:28:20.0565595Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:28:20.0566110Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:28:20.0566881Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:28:20.0567443Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:28:20.0576004Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:28:20.0576274Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:28:20.0576444Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:28:20.0576614Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:28:20.0576773Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:28:20.0576935Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:28:20.0577093Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:28:20.0577252Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:28:20.0577407Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:28:20.0577568Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:28:20.0577725Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:28:20.0577885Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:28:20.0578042Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:28:20.0578362Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:28:20.0578524Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:28:20.0578690Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:28:20.0578851Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:28:20.0579007Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:28:20.0579167Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:28:20.0579327Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:28:20.0579491Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:28:20.0580224Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:28:20.0580678Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:28:20.0581224Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:28:20.0581891Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:28:20.0582296Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:28:20.0582843Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:28:20.0583351Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:28:20.0584229Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:28:20.0584828Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:28:20.0585369Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:28:20.0585944Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:28:20.0586495Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:28:20.0587053Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:28:20.0587790Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:28:20.0588376Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:28:20.0588941Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:28:20.0589483Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:28:20.0590050Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:28:20.0590600Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:28:20.0591150Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:28:20.0591704Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:28:20.0592249Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:28:20.0592799Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:28:20.0593367Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:28:20.0593955Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:28:20.0594514Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:28:20.0595067Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:28:20.0595582Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:28:20.0596168Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:28:20.0596714Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:28:20.0597348Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:28:20.0597903Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:28:20.0598476Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:28:20.0599009Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:28:20.0599592Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:28:20.0600393Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:28:20.0600934Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:28:20.0601483Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:28:20.0602156Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:28:20.0602819Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:28:20.0603270Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:28:20.0604188Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:28:20.0604755Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:28:20.0605355Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:28:20.0605977Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:28:20.0606549Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:28:20.0607092Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:28:20.0607634Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:28:20.0608224Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:28:20.0608768Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:28:20.0609330Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:28:20.0609885Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:28:20.0610449Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:28:20.0610990Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:28:20.0611516Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:28:20.0612101Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:28:20.0612662Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:28:20.0613215Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:28:20.0613773Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:28:20.0614324Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:28:20.0614891Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:28:20.0615433Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:28:20.0616101Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:28:20.0616666Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:28:20.0617245Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:28:20.0617783Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:28:20.0618371Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:28:20.0619009Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:28:20.0619524Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:28:20.0620383Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:28:20.0621167Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:28:20.0621840Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:28:20.0622552Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:28:20.0623136Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:28:20.0623629Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:28:20.0624268Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:28:20.0624937Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:28:20.0625288Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:28:20.0625799Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:28:20.0626355Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:28:20.0626843Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:28:20.0627507Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:28:20.0628046Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:28:20.0628708Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:28:20.0629798Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:28:20.0630344Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:28:20.0631304Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:28:20.0631866Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:28:20.0632423Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:28:20.0632950Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:28:20.0633441Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:28:20.0634139Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:28:20.0634740Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:28:20.0635390Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:28:20.0636126Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:28:20.0636833Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:28:20.0637762Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:28:20.0638660Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:28:20.0639468Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:28:20.0640283Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:28:20.0641166Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:28:20.0641931Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:28:20.0642573Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:28:20.0643284Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:28:20.0643784Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:28:20.0644265Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:28:20.0644831Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:28:20.0645303Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:28:20.0645832Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:28:20.0646365Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:28:20.0646971Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:28:20.0647724Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:28:20.0648306Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:28:20.0648926Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:28:20.0649627Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:28:20.0650173Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:28:20.0650851Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:28:20.0651348Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:28:20.0652090Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:28:20.0652655Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:28:20.0653192Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:28:20.0653718Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:28:20.0654407Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:28:20.0654975Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:28:20.0655559Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:28:20.0656169Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:28:20.0656654Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:28:20.0657419Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:28:20.0658149Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:28:20.0658832Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:28:20.0659369Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:28:20.0659920Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:28:20.0660720Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:28:20.0661378Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:28:20.0662443Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:28:20.0662971Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:28:20.0663547Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:28:20.0664259Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:28:20.0664982Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:28:20.0665670Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:28:20.0666591Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:28:20.0667400Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:28:20.0668149Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:28:20.0668855Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:28:20.0669517Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:28:20.0670590Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:28:20.0671017Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:28:20.0671699Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:28:20.0672502Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:28:20.0673102Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:28:20.0673864Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:28:20.0674900Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:28:20.0675367Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:28:20.0675980Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:28:20.0676490Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:28:20.0677057Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:28:20.0677513Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:28:20.0678030Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:28:20.0678785Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:28:20.0679280Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:28:20.0679803Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:28:20.0680354Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:28:20.0680853Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:28:20.0681351Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:28:20.0682084Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:28:20.0682855Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:28:20.0683531Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:28:20.0684106Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:28:20.0684634Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:28:20.0685187Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:28:20.0685735Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:28:20.0686294Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:28:20.0686975Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:28:20.0687557Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:28:20.0688152Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:28:20.0688902Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:28:20.0689475Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:28:20.0690169Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:28:20.0690710Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:28:20.0691315Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:28:20.0691848Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:28:20.0692489Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:28:20.0693021Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:28:20.0693603Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:28:20.0694129Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:28:20.0694750Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:28:20.0695226Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:28:20.0695949Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:28:20.0696483Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:28:20.0697211Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:28:20.0697894Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:28:20.0698482Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:28:20.0699027Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:28:20.0699543Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:28:20.0700103Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:28:20.0700676Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:28:20.0701241Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:28:20.0701775Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:28:20.0702287Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:28:20.0702864Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:28:20.0703431Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:28:20.0704181Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:28:20.0704752Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:28:20.0705365Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:28:20.0705940Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:28:20.0706468Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:28:20.0707005Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:28:20.0707575Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:28:20.0708164Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:28:20.0708750Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:28:20.0709263Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:28:20.0709859Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:28:20.0710401Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:28:20.0711007Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:28:20.0711532Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:28:20.0712148Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:28:20.0712611Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:28:20.0713178Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:28:20.0713724Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:28:20.0714453Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:28:20.0715043Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:28:20.0715584Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:28:20.0716237Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:28:20.0716733Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:28:20.0717270Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:28:20.0717829Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:28:20.0718360Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:28:20.0718885Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:28:20.0719587Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:28:20.0720114Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:28:20.0720677Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:28:20.0721214Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:28:20.0721761Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:28:20.0722329Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:28:20.0722890Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:28:20.0723501Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:28:20.0724242Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:28:20.0724806Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:28:20.0725361Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:28:20.0725919Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:28:20.0726456Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:28:20.0727109Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:28:20.0727689Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:28:20.0728266Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:28:20.0728833Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:28:20.0729368Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:28:20.0729883Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:28:20.0730438Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:28:20.0730995Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:28:20.0731600Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:28:20.0732129Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:28:20.0732692Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:28:20.0733238Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:28:20.0733797Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:28:20.0734656Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:28:20.0735283Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:28:20.0735841Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:28:20.0736372Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:28:20.0736951Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:28:20.0737497Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:28:20.0738157Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:28:20.0738610Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:28:20.0739121Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:28:20.0739656Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:28:20.0740443Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:28:20.0740993Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:28:20.0741878Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:28:20.0742578Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:28:20.0743242Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:28:20.0743752Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:28:20.0744460Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:28:20.0745011Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:28:20.0745639Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:28:20.0746169Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:28:20.0746739Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:28:20.0747288Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:28:20.0747870Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:28:20.0748398Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:28:20.0748960Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:28:20.0749572Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:28:20.0750267Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:28:20.0751018Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:28:20.0751780Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:28:20.0752414Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:28:20.0752992Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:28:20.0753521Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:28:20.0754194Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:28:20.0754820Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:28:20.0755408Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:28:20.0756090Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:28:20.0756869Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:28:20.0757721Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:28:20.0758425Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:28:20.0759111Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:28:20.0759789Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:28:20.0760444Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:28:20.0761031Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:28:20.0761724Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:28:20.0762504Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:28:20.0763228Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:28:20.0763806Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:28:20.0764383Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:28:20.0765478Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:28:20.0766127Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:28:20.0766781Z * [new tag] flight_5 -> flight_5 2025-09-07T07:28:20.0767499Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:28:20.0768163Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:28:20.0768771Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:28:20.0769400Z * [new tag] forpull1 -> forpull1 2025-09-07T07:28:20.0770262Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:28:20.0770918Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:28:20.0771575Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:28:20.0772281Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:28:20.0772829Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:28:20.0773561Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:28:20.0774581Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:28:20.0775343Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:28:20.0776248Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:28:20.0777090Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:28:20.0777823Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:28:20.0778528Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:28:20.0779333Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:28:20.0780253Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:28:20.0781066Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:28:20.0781794Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:28:20.0782501Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:28:20.0783148Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:28:20.0783809Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:28:20.0785058Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:28:20.0785750Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:28:20.0786418Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:28:20.0787380Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:28:20.0787976Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:28:20.0788623Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:28:20.0789407Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:28:20.0790060Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:28:20.0790804Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:28:20.0791522Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:28:20.0792158Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:28:20.0792877Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:28:20.0793542Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:28:20.0794253Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:28:20.0794903Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:28:20.0796189Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:28:20.0796871Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:28:20.0797634Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:28:20.0798218Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:28:20.0798896Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:28:20.0799594Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:28:20.0800247Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:28:20.0800932Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:28:20.0801678Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:28:20.0802362Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:28:20.0803001Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:28:20.0803697Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:28:20.0804635Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:28:20.0805426Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:28:20.0806368Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:28:20.0806874Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:28:20.0807574Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:28:20.0808386Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:28:20.0809090Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:28:20.0809790Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:28:20.0810664Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:28:20.0812194Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:28:20.0812524Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:28:20.0813116Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:28:20.0813599Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:28:20.0814170Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:28:20.0814870Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:28:20.0815523Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:28:20.0816207Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:28:20.0816735Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:28:20.0817390Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:28:20.0818151Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:28:20.0818732Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:28:20.0819326Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:28:20.0820049Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:28:20.0820721Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:28:20.0821382Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:28:20.0822115Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:28:20.0822848Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:28:20.0823546Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:28:20.0824288Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:28:20.0824905Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:28:20.0825561Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:28:20.0826455Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:28:20.0827195Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:28:20.0827843Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:28:20.0828560Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:28:20.0829167Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:28:20.0829917Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:28:20.0830610Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:28:20.0831223Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:28:20.0832026Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:28:20.0832727Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:28:20.0833475Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:28:20.0834188Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:28:20.0834914Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:28:20.0835640Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:28:20.0836203Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:28:20.0837033Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:28:20.0837744Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:28:20.0838389Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:28:20.0839124Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:28:20.0839815Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:28:20.0840552Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:28:20.0841218Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:28:20.0841876Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:28:20.0842598Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:28:20.0843348Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:28:20.0843937Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:28:20.0844652Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:28:20.0845352Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:28:20.0846022Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:28:20.0846762Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:28:20.0847411Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:28:20.0848652Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:28:20.0849190Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:28:20.0849913Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:28:20.0850665Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:28:20.0851380Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:28:20.0852054Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:28:20.0852781Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:28:20.0853433Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:28:20.0854152Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:28:20.0854808Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:28:20.0855547Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:28:20.0856293Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:28:20.0857038Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:28:20.0857773Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:28:20.0858538Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:28:20.0859082Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:28:20.0859711Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:28:20.0860365Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:28:20.0861055Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:28:20.0861800Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:28:20.0862460Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:28:20.0863026Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:28:20.0863730Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:28:20.0864456Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:28:20.0865179Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:28:20.0865912Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:28:20.0866630Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:28:20.0867447Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:28:20.0868240Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:28:20.0869007Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:28:20.0869718Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:28:20.0870436Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:28:20.0871203Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:28:20.0872173Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:28:20.0872995Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:28:20.0873721Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:28:20.0874410Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:28:20.0875196Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:28:20.0876263Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:28:20.0877058Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:28:20.0877882Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:28:20.0878682Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:28:20.0879531Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:28:20.0880276Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:28:20.0880879Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:20.0881601Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:28:20.0882400Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:28:20.0883098Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:28:20.0883791Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:28:20.0884524Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:28:20.0885235Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:28:20.0886060Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:28:20.0886767Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:28:20.0887520Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:28:20.0888243Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:28:20.0888911Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:28:20.0889672Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:28:20.0890365Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:28:20.0891041Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:28:20.0891794Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:28:20.0892528Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:28:20.0893295Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:28:20.0894027Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:28:20.0894724Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:28:20.0895472Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:28:20.0896126Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:28:20.0896875Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:28:20.0897626Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:28:20.0898348Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:28:20.0899057Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:28:20.0899703Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:28:20.0900442Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:28:20.0901259Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:28:20.0901950Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:28:20.0902697Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:28:20.0903425Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:28:20.0904205Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:28:20.0904960Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:28:20.0907177Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:28:20.0908117Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:28:20.0908876Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:28:20.0909634Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:28:20.0910420Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:28:20.0911197Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:28:20.0911919Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:28:20.0912655Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:28:20.0913299Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:28:20.0914086Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:28:20.0914788Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:28:20.0915550Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:28:20.0916274Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:28:20.0917131Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:28:20.0917900Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:28:20.0918605Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:28:20.0919415Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:28:20.0920193Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:28:20.0920967Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:28:20.0921974Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:28:20.0922736Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:28:20.0923476Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:28:20.0924040Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:28:20.0924838Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:28:20.0925627Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:28:20.0926383Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:28:20.0927122Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:28:20.0927851Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:28:20.0928641Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:28:20.0929376Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:28:20.0930140Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:28:20.0930928Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:28:20.0931542Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:28:20.0932280Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:28:20.0932988Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:28:20.0933699Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:28:20.0934474Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:28:20.0935134Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:28:20.0935849Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:28:20.0936566Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:28:20.0937319Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:28:20.0938157Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:28:20.0939038Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:28:20.0939768Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:28:20.0940483Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:28:20.0941209Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:28:20.0942011Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:28:20.0942940Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:28:20.0943647Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:28:20.0944388Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:28:20.0945084Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:28:20.0945817Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:28:20.0946417Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:28:20.0947210Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:28:20.0948468Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:28:20.0949269Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:28:20.0950024Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:28:20.0950760Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:28:20.0951486Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:28:20.0952256Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:28:20.0952901Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:28:20.0953748Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:28:20.0954371Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:28:20.0955065Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:28:20.0955807Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:28:20.0956513Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:28:20.0957280Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:28:20.0958064Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:28:20.0958857Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:28:20.0959577Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:28:20.0960360Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:28:20.0961005Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:28:20.0961690Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:28:20.0962413Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:28:20.0963005Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:28:20.0963762Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:28:20.0964414Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:28:20.0965024Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:28:20.0965808Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:28:20.0966630Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:28:20.0967373Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:28:20.0968156Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:28:20.0968973Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:28:20.0969924Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:28:20.0970559Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:28:20.0971363Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:28:20.0972142Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:28:20.0972873Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:28:20.0973594Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:28:20.0974327Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:28:20.0975258Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:28:20.0975996Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:28:20.0976638Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:28:20.0977430Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:28:20.0978121Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:28:20.0978773Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:28:20.0979406Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:28:20.0980029Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:28:20.0980681Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:28:20.0981333Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:28:20.0981963Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:28:20.0982697Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:28:20.0983307Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:28:20.0983897Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:28:20.0984561Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:28:20.0985144Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:28:20.0985851Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:28:20.0986540Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:28:20.0987191Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:28:20.0987857Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:28:20.0988514Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:28:20.0989190Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:28:20.0989838Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:28:20.0990523Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:28:20.0991017Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:28:20.0991695Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:28:20.0992389Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:28:20.0993248Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:28:20.0993979Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:28:20.0994706Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:28:20.0995233Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:28:20.0995924Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:28:20.0996455Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:28:20.0996955Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:28:20.0997536Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:28:20.0998224Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:28:20.0998986Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:28:20.0999760Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:28:20.1000476Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:28:20.1001197Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:28:20.1001922Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:28:20.1002399Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:28:20.1002945Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:28:20.1003634Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:28:20.1004355Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:28:20.1005055Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:28:20.1005874Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:28:20.1006568Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:28:20.1007313Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:28:20.1008107Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:28:20.1008623Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:28:20.1009151Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:28:20.1009662Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:28:20.1010410Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:28:20.1011228Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:28:20.1011995Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:28:20.1012918Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:28:20.1013289Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:28:20.1014125Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:28:20.1014797Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:28:20.1015459Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:28:20.1016157Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:28:20.1016921Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:28:20.1017440Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:28:20.1017952Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:28:20.1018644Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:28:20.1019268Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:28:20.1020109Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:28:20.1020771Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:28:20.1021462Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:28:20.1022197Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:28:20.1022724Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:28:20.1023376Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:28:20.1024056Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:28:20.1024576Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:28:20.1025268Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:28:20.1025995Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:28:20.1026705Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:28:20.1027479Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:28:20.1028066Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:28:20.1028606Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:28:20.1029348Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:28:20.1029870Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:28:20.1030392Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:28:20.1031117Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:28:20.1031837Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:28:20.1032573Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:28:20.1033214Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:28:20.1033909Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:28:20.1034626Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:28:20.1035091Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:28:20.1035841Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:28:20.1036508Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:28:20.1037288Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:28:20.1037990Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:28:20.1038534Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:28:20.1039243Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:28:20.1040097Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:28:20.1040825Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:28:20.1041360Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:28:20.1042050Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:28:20.1042625Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:28:20.1043315Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:28:20.1044028Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:28:20.1044674Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:28:20.1045169Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:28:20.1045692Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:28:20.1046386Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:28:20.1046970Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:28:20.1047464Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:28:20.1048664Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:28:20.1049201Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:28:20.1049949Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:28:20.1050636Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:28:20.1051392Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:28:20.1052118Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:28:20.1052638Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:28:20.1053354Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:28:20.1054294Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:28:20.1054773Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:28:20.1055493Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:28:20.1056156Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:28:20.1056895Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:28:20.1057640Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:28:20.1058312Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:28:20.1058993Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:28:20.1059545Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:28:20.1060369Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:28:20.1061137Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:28:20.1061676Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:28:20.1062355Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:28:20.1063110Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:28:20.1064346Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:28:20.1064999Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:28:20.1065703Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:28:20.1066503Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:28:20.1067242Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:28:20.1067979Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:28:20.1068625Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:28:20.1069190Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:28:20.1069961Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:28:20.1070653Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:28:20.1071444Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:28:20.1072202Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:28:20.1072872Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:28:20.1073380Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:28:20.1074061Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:28:20.1074832Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:28:20.1075600Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:28:20.1076133Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:28:20.1076871Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:28:20.1077575Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:28:20.1078249Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:28:20.1078933Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:28:20.1079579Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:28:20.1080305Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:28:20.1080975Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:28:20.1081500Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:28:20.1082034Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:28:20.1082882Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:28:20.1083605Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:28:20.1084145Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:28:20.1084789Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:28:20.1085297Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:28:20.1086086Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:28:20.1086610Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:28:20.1087131Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:28:20.1087855Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:28:20.1088523Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:28:20.1089270Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:28:20.1090022Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:28:20.1090588Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:28:20.1091268Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:28:20.1091996Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:28:20.1092719Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:28:20.1093432Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:28:20.1093946Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:28:20.1094640Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:28:20.1095355Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:28:20.1095919Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:28:20.1096515Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:28:20.1097141Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:28:20.1097856Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:28:20.1098553Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:28:20.1099265Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:28:20.1099954Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:28:20.1100674Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:28:20.1101352Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:28:20.1102036Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:28:20.1102828Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:28:20.1103554Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:28:20.1104323Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:28:20.1105044Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:28:20.1105868Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:28:20.1106492Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:28:20.1107802Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:28:20.1108596Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:28:20.1109438Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:28:20.1110126Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:28:20.1110832Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:28:20.1111361Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:28:20.1112072Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:28:20.1112775Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 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2025-09-07T07:28:20.1124381Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:28:20.1125193Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:28:20.1125949Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:28:20.1127055Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:28:20.1127604Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:28:20.1128162Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:28:20.1128935Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:28:20.1129673Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:28:20.1130499Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:28:20.1131217Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:28:20.1131933Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:28:20.1132678Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:28:20.1133398Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:28:20.1134198Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:28:20.1134726Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:28:20.1135515Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:28:20.1136283Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:28:20.1137098Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:28:20.1138022Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:28:20.1138744Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:28:20.1139341Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:28:20.1140055Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:28:20.1140748Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:28:20.1141618Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:28:20.1142344Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:28:20.1143108Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:28:20.1143864Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:28:20.1144573Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:28:20.1145326Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:28:20.1146060Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:28:20.1146782Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:28:20.1147422Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:28:20.1722019Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:28:20.1746317Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:20.1750234Z ##[endgroup] 2025-09-07T07:28:20.1750597Z ##[group]Determining the checkout info 2025-09-07T07:28:20.1751436Z ##[endgroup] 2025-09-07T07:28:20.1755064Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:28:20.1787450Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:28:20.1815431Z ##[group]Checking out the ref 2025-09-07T07:28:20.1819186Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:21.2131621Z Updating files: 96% (18658/19405) 2025-09-07T07:28:21.2277833Z Updating files: 97% (18823/19405) 2025-09-07T07:28:21.2494666Z Updating files: 98% (19017/19405) 2025-09-07T07:28:21.2620829Z Updating files: 99% (19211/19405) 2025-09-07T07:28:21.2621088Z Updating files: 100% (19405/19405) 2025-09-07T07:28:21.2621341Z Updating files: 100% (19405/19405), done. 2025-09-07T07:28:21.2886478Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:28:21.2886735Z 2025-09-07T07:28:21.2887159Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:28:21.2887636Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:28:21.2888108Z state without impacting any branches by switching back to a branch. 2025-09-07T07:28:21.2888389Z 2025-09-07T07:28:21.2888571Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:28:21.2889005Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:28:21.2889256Z 2025-09-07T07:28:21.2889353Z git switch -c 2025-09-07T07:28:21.2889523Z 2025-09-07T07:28:21.2889615Z Or undo this operation with: 2025-09-07T07:28:21.2889784Z 2025-09-07T07:28:21.2889856Z git switch - 2025-09-07T07:28:21.2889973Z 2025-09-07T07:28:21.2890182Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:28:21.2890483Z 2025-09-07T07:28:21.2890646Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:28:21.2984731Z ##[endgroup] 2025-09-07T07:28:21.2985096Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:28:21.2990554Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:28:21.3034322Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:28:21.3060810Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:28:21.3085939Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:28:21.3109541Z ##[endgroup] 2025-09-07T07:28:21.3109868Z ##[group]Fetching submodules 2025-09-07T07:28:21.3113508Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:28:21.3401721Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:28:21.4154235Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:28:21.4156630Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:28:21.4159267Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:28:21.4161935Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:28:21.4175598Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:28:21.4178596Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:28:21.4181067Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:28:21.4194900Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:28:21.4197816Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:28:21.4200820Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:28:21.4203713Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:28:21.4217723Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:28:21.4220904Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:28:21.4223992Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:28:21.4238209Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:28:21.4241547Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:28:21.4244811Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:28:21.4249823Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:28:21.4264416Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:28:21.4267922Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:28:21.4271612Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:28:21.4286161Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:28:21.4289983Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:28:21.4293801Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:28:21.4297762Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:28:21.4312526Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:28:21.4316560Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:28:21.4320600Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:28:21.4335293Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:28:21.4339360Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:28:21.4343664Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:28:21.4347933Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:28:21.4362974Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:28:21.4367285Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:28:21.4373570Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:28:21.4389390Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:28:21.4394151Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:28:21.4423224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:28:21.6612139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:28:21.6612794Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:28:21.6613434Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:28:21.6614034Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:28:21.6665080Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:28:21.8189424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:28:21.8190131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:28:21.8190789Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:28:21.8191423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:28:21.8192018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:28:21.8192662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:28:21.8314324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:28:22.5718776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:28:22.5719479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:28:22.5720112Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:28:22.5720745Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:28:22.5721382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:28:22.5722046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:28:22.5722703Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:28:22.5723318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:28:22.5723925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:28:22.5724550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:28:22.5725164Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:28:22.5725762Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:28:22.5726385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:28:22.6061085Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:28:31.0441253Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:28:31.0441940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:28:31.0442869Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:28:31.0443483Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:28:31.0444103Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:28:31.0444751Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:28:31.0445395Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:28:31.0446041Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:28:31.0446693Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:28:31.0447317Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:28:31.0586129Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:28:31.0702740Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:28:31.0794828Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:28:31.1017485Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:28:31.1708537Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:28:31.2114144Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:28:31.8149462Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:28:31.9503619Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:28:31.9523141Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:28:31.9547317Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:28:35.1325005Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:28:35.1543397Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:28:35.4293891Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:28:35.4748384Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:28:35.5601352Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:28:35.5997321Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:28:36.1502358Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:28:36.2762316Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:28:36.2782481Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:28:36.2784711Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:28:36.2786768Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:28:36.2788884Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:28:36.2791146Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:28:36.2793552Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:28:36.2795769Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:28:36.2822930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:28:37.2984963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:28:37.2985784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:28:37.2986540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:28:37.2987327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:28:37.3984865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:28:38.0636682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:28:42.1272156Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:28:42.3498870Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:28:42.4389026Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:28:42.9850082Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:28:43.0254517Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:43.0366221Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:28:43.1330877Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:28:43.2004872Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:28:43.2023369Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:28:43.2025355Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:28:43.2050424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:28:46.0960269Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:28:46.3013491Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:28:46.7944417Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:28:46.9087771Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:28:46.9377720Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:28:46.9713957Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:28:46.9938118Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:28:47.0327268Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:47.0450692Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:28:47.0467146Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:28:47.0490683Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:28:58.6462379Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:28:58.6648183Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:28:58.7618797Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:28:58.7636680Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:28:58.7638783Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:28:58.7641335Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:28:58.7666684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:28:59.3604194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:28:59.5875790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:28:59.6601354Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:28:59.6618828Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:28:59.6620971Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:28:59.6623186Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:28:59.6625436Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:28:59.6627664Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:28:59.6630102Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:28:59.6632405Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:28:59.6635193Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:28:59.6661159Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:29:00.8503965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:29:00.8505008Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:29:00.8506073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:29:00.8515600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:29:00.8517052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:29:00.8518071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:29:00.9503788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:29:05.8949001Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:29:05.9111070Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:29:05.9423228Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:29:05.9549866Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:29:05.9565644Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:05.9590183Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:29:06.2178748Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:29:06.2346032Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:29:06.2703870Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:29:06.3680849Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:29:06.3834138Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:29:06.4159606Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:29:06.4668517Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:29:06.5097069Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:29:06.5451642Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:29:06.6509669Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:29:06.9988763Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:29:07.0022342Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:07.0047643Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:29:07.8002388Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:29:07.8608773Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:29:07.8627832Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 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2025-09-07T07:29:20.5978113Z [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" 2025-09-07T07:29:20.6251479Z Entering 'android/libs/fbjni' 2025-09-07T07:29:20.6300433Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:29:20.6316045Z Entering 'third_party/FP16' 2025-09-07T07:29:20.6365888Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:29:20.6381850Z Entering 'third_party/FXdiv' 2025-09-07T07:29:20.6430596Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:29:20.6447068Z Entering 'third_party/NNPACK' 2025-09-07T07:29:20.6495145Z 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'third_party/XNNPACK' 2025-09-07T07:29:21.5866853Z Entering 'third_party/aiter' 2025-09-07T07:29:21.5924908Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:21.5970599Z Entering 'third_party/benchmark' 2025-09-07T07:29:21.6011611Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:21.6058023Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:21.6098315Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:21.6139279Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:21.6179563Z Entering 'third_party/cutlass' 2025-09-07T07:29:21.6225946Z Entering 'third_party/fbgemm' 2025-09-07T07:29:21.6269008Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:21.6309092Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:21.6354124Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:21.6393359Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:21.6439206Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:21.6477541Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:21.6516189Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:21.6558346Z Entering 'third_party/flash-attention' 2025-09-07T07:29:21.6599123Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:21.6642414Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:21.6688855Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:21.6731716Z Entering 'third_party/fmt' 2025-09-07T07:29:21.6772629Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:21.6814003Z Entering 'third_party/gloo' 2025-09-07T07:29:21.6854858Z Entering 'third_party/googletest' 2025-09-07T07:29:21.6895166Z Entering 'third_party/ideep' 2025-09-07T07:29:21.6935139Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:21.6980234Z Entering 'third_party/ittapi' 2025-09-07T07:29:21.7021249Z Entering 'third_party/kineto' 2025-09-07T07:29:21.7061708Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:21.7101103Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:21.7141980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:21.7181527Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:21.7221977Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:21.7260478Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:21.7302051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:21.7340975Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:21.7380417Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:21.7419800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:21.7461460Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:21.7500821Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:21.7542547Z Entering 'third_party/kleidiai' 2025-09-07T07:29:21.7583179Z Entering 'third_party/mimalloc' 2025-09-07T07:29:21.7623865Z Entering 'third_party/nlohmann' 2025-09-07T07:29:21.7665286Z Entering 'third_party/onnx' 2025-09-07T07:29:21.7718430Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:21.7762659Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:21.7803958Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:21.7842685Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:21.7880677Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:21.7919396Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:21.7959284Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:21.7997832Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:21.8037389Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:21.8075999Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:21.8116353Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:21.8156797Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:21.8211077Z Entering 'third_party/pocketfft' 2025-09-07T07:29:21.8251915Z Entering 'third_party/protobuf' 2025-09-07T07:29:21.8294175Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:21.8332822Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:21.8374063Z Entering 'third_party/psimd' 2025-09-07T07:29:21.8414639Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:21.8455405Z Entering 'third_party/pybind11' 2025-09-07T07:29:21.8495959Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:21.8536343Z Entering 'third_party/sleef' 2025-09-07T07:29:21.8577135Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:21.8617225Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:21.8656244Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:21.8694663Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:21.8734042Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:21.8772697Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:21.8828797Z ##[endgroup] 2025-09-07T07:29:21.8863525Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:29:21.8884564Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:21.8985344Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:21.8985650Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:21.8985923Z # Clean stale submodule dirs 2025-09-07T07:29:21.8986191Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:29:21.8986517Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:21.8986840Z else 2025-09-07T07:29:21.8987093Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:21.8987400Z fi 2025-09-07T07:29:21.8997553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:21.8997867Z env: 2025-09-07T07:29:21.8998043Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:21.8998257Z NO_SUDO: true 2025-09-07T07:29:21.8998435Z ##[endgroup] 2025-09-07T07:29:21.9322840Z Entering 'android/libs/fbjni' 2025-09-07T07:29:21.9354652Z Entering 'third_party/FP16' 2025-09-07T07:29:21.9385853Z Entering 'third_party/FXdiv' 2025-09-07T07:29:21.9416611Z Entering 'third_party/NNPACK' 2025-09-07T07:29:21.9450490Z Entering 'third_party/NVTX' 2025-09-07T07:29:21.9486501Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:21.9518471Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:21.9623266Z Entering 'third_party/aiter' 2025-09-07T07:29:21.9662175Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:21.9756107Z Entering 'third_party/benchmark' 2025-09-07T07:29:21.9788198Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:21.9889858Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:21.9922166Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:21.9956378Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:21.9990294Z Entering 'third_party/cutlass' 2025-09-07T07:29:22.0076816Z Entering 'third_party/fbgemm' 2025-09-07T07:29:22.0131264Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:22.0160322Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:22.0250981Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:22.0283845Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:22.0366909Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:22.0398371Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:22.0426187Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:22.0466097Z Entering 'third_party/flash-attention' 2025-09-07T07:29:22.0504119Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:22.0588688Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:22.0665002Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:22.0727518Z Entering 'third_party/fmt' 2025-09-07T07:29:22.0759368Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:22.0791300Z Entering 'third_party/gloo' 2025-09-07T07:29:22.0825060Z Entering 'third_party/googletest' 2025-09-07T07:29:22.0858781Z Entering 'third_party/ideep' 2025-09-07T07:29:22.0888058Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:22.0962348Z Entering 'third_party/ittapi' 2025-09-07T07:29:22.0994848Z Entering 'third_party/kineto' 2025-09-07T07:29:22.1027963Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:22.1059571Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:22.1099555Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:22.1129692Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:22.1159910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:22.1187514Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:22.1217745Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:22.1246832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:22.1277918Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:22.1314995Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:22.1345620Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:22.1375124Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:22.1407308Z Entering 'third_party/kleidiai' 2025-09-07T07:29:22.1442625Z Entering 'third_party/mimalloc' 2025-09-07T07:29:22.1474512Z Entering 'third_party/nlohmann' 2025-09-07T07:29:22.1516257Z Entering 'third_party/onnx' 2025-09-07T07:29:22.1782962Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:22.1818040Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:22.1868455Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:22.1897846Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:22.1928349Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:22.1955741Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:22.1993951Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:22.2022907Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:22.2051431Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:22.2080461Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:22.2122709Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:22.2155325Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:22.2367865Z Entering 'third_party/pocketfft' 2025-09-07T07:29:22.2397340Z Entering 'third_party/protobuf' 2025-09-07T07:29:22.2465850Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:22.2494761Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:22.2528826Z Entering 'third_party/psimd' 2025-09-07T07:29:22.2558481Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:22.2588646Z Entering 'third_party/pybind11' 2025-09-07T07:29:22.2622152Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:22.2653856Z Entering 'third_party/sleef' 2025-09-07T07:29:22.2687146Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:22.2720582Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:22.2750599Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:22.2779184Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:22.2811133Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:22.2838792Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:22.2989462Z Prepare all required actions 2025-09-07T07:29:22.2990024Z Getting action download info 2025-09-07T07:29:22.4459793Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:29:22.4460078Z env: 2025-09-07T07:29:22.4460252Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.4460460Z ##[endgroup] 2025-09-07T07:29:22.4496532Z ##[group]Run set -euo pipefail 2025-09-07T07:29:22.4496825Z set -euo pipefail 2025-09-07T07:29:22.4497071Z function get_ec2_metadata() { 2025-09-07T07:29:22.4497393Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:29:22.4497939Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:29:22.4498420Z  category=$1 2025-09-07T07:29:22.4498723Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:29:22.4499092Z  runner_name_str=i-0fa0d208f43533168 2025-09-07T07:29:22.4499408Z  if [[ -f /.inarc ]]; then 2025-09-07T07:29:22.4499700Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:29:22.4500026Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:29:22.4500672Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:29:22.4501036Z  else 2025-09-07T07:29:22.4501787Z  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}" 2025-09-07T07:29:22.4502573Z  fi 2025-09-07T07:29:22.4502743Z } 2025-09-07T07:29:22.4502962Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:29:22.4503330Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:29:22.4503739Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:29:22.4504085Z echo "system info $(uname -a)" 2025-09-07T07:29:22.4511551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:22.4511872Z env: 2025-09-07T07:29:22.4512048Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.4512278Z ##[endgroup] 2025-09-07T07:29:22.4642650Z ami-id: ami-022bbd2ccaf21691f 2025-09-07T07:29:22.4736271Z instance-id: i-0fa0d208f43533168 2025-09-07T07:29:22.4827701Z instance-type: m7g.metal 2025-09-07T07:29:22.4838292Z system info Linux ip-10-0-74-69.ec2.internal 6.1.141-155.222.amzn2023.aarch64 #1 SMP Tue Jun 17 10:29:19 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux 2025-09-07T07:29:22.4856665Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:22.4857481Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:22.4864435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:22.4864769Z env: 2025-09-07T07:29:22.4864939Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.4865151Z ##[endgroup] 2025-09-07T07:29:22.4925686Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:29:22.4926087Z if systemctl is-active --quiet docker; then 2025-09-07T07:29:22.4926415Z  echo "Docker daemon is running..."; 2025-09-07T07:29:22.4926687Z else 2025-09-07T07:29:22.4926982Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:29:22.4927339Z fi 2025-09-07T07:29:22.4933121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:22.4933433Z env: 2025-09-07T07:29:22.4933613Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.4933825Z ##[endgroup] 2025-09-07T07:29:22.5001779Z Docker daemon is running... 2025-09-07T07:29:22.5036655Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:29:22.5036962Z with: 2025-09-07T07:29:22.5037269Z shell: bash 2025-09-07T07:29:22.5037685Z timeout_minutes: 5 2025-09-07T07:29:22.5037943Z max_attempts: 3 2025-09-07T07:29:22.5038259Z retry_wait_seconds: 30 2025-09-07T07:29:22.5040339Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:29:22.5042514Z polling_interval_seconds: 1 2025-09-07T07:29:22.5042806Z warning_on_retry: true 2025-09-07T07:29:22.5043075Z continue_on_error: false 2025-09-07T07:29:22.5043380Z env: 2025-09-07T07:29:22.5043621Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.5043895Z AWS_RETRY_MODE: standard 2025-09-07T07:29:22.5044283Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:29:22.5044526Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:29:22.5044962Z ##[endgroup] 2025-09-07T07:29:23.5286451Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:23.5287045Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:23.5287595Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:23.5288022Z 2025-09-07T07:29:23.5288141Z Login Succeeded 2025-09-07T07:29:23.5810210Z Command completed after 1 attempt(s). 2025-09-07T07:29:23.5864915Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:23.5865413Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:23.5865941Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:23.5873987Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.5874493Z env: 2025-09-07T07:29:23.5874698Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.5874951Z ##[endgroup] 2025-09-07T07:29:23.5962862Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:23.5963372Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:23.5963740Z # shellcheck disable=SC2046 2025-09-07T07:29:23.5964026Z docker stop $(docker ps -q) || true 2025-09-07T07:29:23.5964320Z # Prune all of the docker images 2025-09-07T07:29:23.5964592Z docker system prune -af 2025-09-07T07:29:23.5970408Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.5970726Z env: 2025-09-07T07:29:23.5970899Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.5971105Z ##[endgroup] 2025-09-07T07:29:23.6375442Z "docker stop" requires at least 1 argument. 2025-09-07T07:29:23.6375749Z See 'docker stop --help'. 2025-09-07T07:29:23.6375898Z 2025-09-07T07:29:23.6376048Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:29:23.6376285Z 2025-09-07T07:29:23.6376383Z Stop one or more running containers 2025-09-07T07:29:23.6550577Z Total reclaimed space: 0B 2025-09-07T07:29:23.6580021Z ##[group]Run set +e 2025-09-07T07:29:23.6580250Z set +e 2025-09-07T07:29:23.6580437Z set -x 2025-09-07T07:29:23.6580615Z  2025-09-07T07:29:23.6580815Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:23.6581310Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:29:23.6581962Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:29:23.6582416Z # one is returned at random 2025-09-07T07:29:23.6582748Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:29:23.6583062Z  2025-09-07T07:29:23.6583252Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:23.6583849Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:29:23.6584349Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:29:23.6584693Z  2025-09-07T07:29:23.6584966Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:23.6585345Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:29:23.6585648Z  exit 1 2025-09-07T07:29:23.6585898Z  fi 2025-09-07T07:29:23.6586105Z fi 2025-09-07T07:29:23.6586271Z  2025-09-07T07:29:23.6586485Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:29:23.6586799Z  # Clean up any old records first 2025-09-07T07:29:23.6587104Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:29:23.6587376Z fi 2025-09-07T07:29:23.6587542Z  2025-09-07T07:29:23.6587807Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:29:23.6588139Z cat /etc/hosts 2025-09-07T07:29:23.6594583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.6594896Z env: 2025-09-07T07:29:23.6595257Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.6595465Z ##[endgroup] 2025-09-07T07:29:23.6617694Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:23.6622455Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:29:23.6623086Z ++ tail -n1 2025-09-07T07:29:23.7099199Z + RESOLVED_IP=18.160.10.36 2025-09-07T07:29:23.7099488Z + '[' -z 18.160.10.36 ']' 2025-09-07T07:29:23.7099735Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:29:23.7113980Z + echo '18.160.10.36 download.pytorch.org' 2025-09-07T07:29:23.7114748Z + sudo tee -a /etc/hosts 2025-09-07T07:29:23.9489584Z 18.160.10.36 download.pytorch.org 2025-09-07T07:29:23.9505681Z + cat /etc/hosts 2025-09-07T07:29:23.9513777Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:29:23.9519061Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:29:23.9519384Z 18.160.10.36 download.pytorch.org 2025-09-07T07:29:23.9669134Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:29:23.9669605Z with: 2025-09-07T07:29:23.9670376Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9671244Z use-custom-docker-registry: true 2025-09-07T07:29:23.9671501Z docker-build-dir: .ci/docker 2025-09-07T07:29:23.9671750Z docker-build-script: ./build.sh 2025-09-07T07:29:23.9671996Z working-directory: . 2025-09-07T07:29:23.9672291Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.9672627Z force-push: false 2025-09-07T07:29:23.9672810Z env: 2025-09-07T07:29:23.9672979Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.9673193Z ##[endgroup] 2025-09-07T07:29:23.9690196Z ##[group]Run set -ex 2025-09-07T07:29:23.9690441Z set -ex 2025-09-07T07:29:23.9690621Z  2025-09-07T07:29:23.9690986Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:29:23.9691567Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:29:23.9692066Z # job could then download the pre-built image as usual 2025-09-07T07:29:23.9692664Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:29:23.9693222Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9693492Z else 2025-09-07T07:29:23.9693709Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9694084Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9694426Z  2025-09-07T07:29:23.9694904Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:29:23.9695444Z  exit 0 2025-09-07T07:29:23.9695624Z fi 2025-09-07T07:29:23.9695793Z  2025-09-07T07:29:23.9696080Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:29:23.9696591Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:29:23.9697045Z  # use it as it is, but first let's extract the tag 2025-09-07T07:29:23.9697456Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:29:23.9697888Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9698305Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9698649Z else 2025-09-07T07:29:23.9698866Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:29:23.9699186Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:29:23.9699523Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:29:23.9700031Z  fi 2025-09-07T07:29:23.9700418Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:29:23.9700941Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9701484Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9702089Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9702446Z fi 2025-09-07T07:29:23.9711006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.9711325Z env: 2025-09-07T07:29:23.9711498Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.9711719Z REPO_NAME: pytorch 2025-09-07T07:29:23.9712693Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9713564Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:23.9713809Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:29:23.9714130Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.9714472Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:29:23.9714713Z CUSTOM_TAG_PREFIX: 2025-09-07T07:29:23.9714912Z ##[endgroup] 2025-09-07T07:29:23.9738722Z + [[ -d .ci/docker ]] 2025-09-07T07:29:23.9738964Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:29:23.9739200Z + [[ true == \t\r\u\e ]] 2025-09-07T07:29:23.9739405Z + echo skip=false 2025-09-07T07:29:23.9740407Z + [[ 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* ]] 2025-09-07T07:29:23.9745236Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9746051Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:29:23.9850528Z + DOCKER_TAG=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9851519Z + echo docker-tag=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9852868Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9873847Z ##[group]Run set +e 2025-09-07T07:29:23.9874096Z set +e 2025-09-07T07:29:23.9874283Z set -x 2025-09-07T07:29:23.9874459Z  2025-09-07T07:29:23.9874621Z login() { 2025-09-07T07:29:23.9875040Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:23.9875482Z } 2025-09-07T07:29:23.9875653Z  2025-09-07T07:29:23.9875814Z retry () { 2025-09-07T07:29:23.9876041Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:23.9876305Z } 2025-09-07T07:29:23.9876471Z  2025-09-07T07:29:23.9876657Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:23.9876910Z  2025-09-07T07:29:23.9877087Z START_TIME=$(date +%s) 2025-09-07T07:29:23.9877330Z # Wait up to 120 minutes 2025-09-07T07:29:23.9877634Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:29:23.9878046Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:29:23.9878468Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:29:23.9878768Z  exit 0 2025-09-07T07:29:23.9878956Z  fi 2025-09-07T07:29:23.9879129Z  2025-09-07T07:29:23.9879455Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:29:23.9880262Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:29:23.9880833Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:29:23.9881279Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:29:23.9881614Z  # It's a Docker build job, let's build the image 2025-09-07T07:29:23.9881905Z  break 2025-09-07T07:29:23.9882094Z  else 2025-09-07T07:29:23.9882382Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:29:23.9882724Z  sleep 300 2025-09-07T07:29:23.9882922Z  fi 2025-09-07T07:29:23.9883095Z done 2025-09-07T07:29:23.9883266Z  2025-09-07T07:29:23.9883720Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:29:23.9884233Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:29:23.9884680Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:29:23.9885073Z  # if we're on the base branch then use the parent commit 2025-09-07T07:29:23.9885419Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:29:23.9885677Z else 2025-09-07T07:29:23.9885952Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:29:23.9886353Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:29:23.9886651Z fi 2025-09-07T07:29:23.9886811Z  2025-09-07T07:29:23.9887000Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:29:23.9887302Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9887576Z  2025-09-07T07:29:23.9887975Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:29:23.9888452Z  exit 0 2025-09-07T07:29:23.9888633Z fi 2025-09-07T07:29:23.9888799Z  2025-09-07T07:29:23.9889054Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:29:23.9889637Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:29:23.9890133Z  exit 1 2025-09-07T07:29:23.9890317Z fi 2025-09-07T07:29:23.9890484Z  2025-09-07T07:29:23.9890783Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:29:23.9891346Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:29:23.9891853Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:29:23.9892446Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:29:23.9893112Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:29:23.9893495Z fi 2025-09-07T07:29:23.9893663Z  2025-09-07T07:29:23.9893882Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.9899746Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.9900059Z env: 2025-09-07T07:29:23.9900228Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.9900454Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:23.9900758Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:23.9901634Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9902795Z DOCKER_TAG: pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.9903458Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.9903925Z DOCKER_PUSH: 2025-09-07T07:29:23.9904104Z ##[endgroup] 2025-09-07T07:29:23.9925997Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.9926370Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.9928452Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:23.9929693Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:24.4425142Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:24.4425656Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:24.4426144Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:24.4426483Z 2025-09-07T07:29:24.4427589Z Login Succeeded 2025-09-07T07:29:24.4442460Z ++ date +%s 2025-09-07T07:29:24.4451835Z + START_TIME=1757230164 2025-09-07T07:29:24.4454388Z ++ date +%s 2025-09-07T07:29:24.4462635Z + [[ 1757222964 -lt 1757230164 ]] 2025-09-07T07:29:24.4463511Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:24.6173527Z { 2025-09-07T07:29:24.6173718Z "schemaVersion": 2, 2025-09-07T07:29:24.6174066Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:29:24.6174434Z "config": { 2025-09-07T07:29:24.6174714Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:29:24.6175057Z "size": 30319, 2025-09-07T07:29:24.6175414Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:29:24.6257054Z }, 2025-09-07T07:29:24.6257201Z { 2025-09-07T07:29:24.6257467Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6257809Z "size": 128, 2025-09-07T07:29:24.6258145Z "digest": "sha256:f379f1cd3010a4d0d9cfb477264d42695f390ee06b7829ea31b46f508821a0d9" 2025-09-07T07:29:24.6258530Z }, 2025-09-07T07:29:24.6258675Z { 2025-09-07T07:29:24.6258940Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6259286Z "size": 778, 2025-09-07T07:29:24.6259630Z "digest": "sha256:6ae93e16ed4e3630a205666a5dad053e0b5ef6424d20ee6cfe1a07453c948f0f" 2025-09-07T07:29:24.6260023Z }, 2025-09-07T07:29:24.6260167Z { 2025-09-07T07:29:24.6260539Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6260888Z "size": 724, 2025-09-07T07:29:24.6261213Z "digest": "sha256:cc22251711f7750b06b6949d5624416e900e1b6fd34782e72e980d859512b935" 2025-09-07T07:29:24.6261594Z }, 2025-09-07T07:29:24.6261742Z { 2025-09-07T07:29:24.6262009Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6262348Z "size": 140, 2025-09-07T07:29:24.6262684Z "digest": "sha256:f995c3109bd824ffff3dab1e70f914d1d48658c9185bf9ff16621b4cb759c154" 2025-09-07T07:29:24.6263076Z }, 2025-09-07T07:29:24.6263221Z { 2025-09-07T07:29:24.6263490Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6263831Z "size": 32, 2025-09-07T07:29:24.6264172Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:29:24.6264565Z }, 2025-09-07T07:29:24.6264710Z { 2025-09-07T07:29:24.6264980Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6265330Z "size": 160, 2025-09-07T07:29:24.6265664Z "digest": "sha256:058384795baca2774d0ced637115ab37947c3b38cf3b478e361ed1c8ecadce06" 2025-09-07T07:29:24.6266058Z }, 2025-09-07T07:29:24.6266201Z { 2025-09-07T07:29:24.6266468Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6266815Z "size": 1010, 2025-09-07T07:29:24.6267155Z "digest": "sha256:3e762f827dd11a0de09efae2ae65697870981c46a36af548b1245ba5892cde17" 2025-09-07T07:29:24.6267542Z }, 2025-09-07T07:29:24.6267690Z { 2025-09-07T07:29:24.6267959Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6268305Z "size": 724, 2025-09-07T07:29:24.6268628Z "digest": "sha256:cc22251711f7750b06b6949d5624416e900e1b6fd34782e72e980d859512b935" 2025-09-07T07:29:24.6269007Z }, 2025-09-07T07:29:24.6269154Z { 2025-09-07T07:29:24.6269343Z + exit 0 2025-09-07T07:29:24.6269620Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6269968Z "size": 134, 2025-09-07T07:29:24.6270316Z "digest": "sha256:6acfbf2cdc1758ddc14df6ba92219671f9e493ef324754be7400e6ec97f67c39" 2025-09-07T07:29:24.6270718Z }, 2025-09-07T07:29:24.6270867Z { 2025-09-07T07:29:24.6271134Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6271478Z "size": 32, 2025-09-07T07:29:24.6271820Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:29:24.6272215Z }, 2025-09-07T07:29:24.6272358Z { 2025-09-07T07:29:24.6272626Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6272970Z "size": 158, 2025-09-07T07:29:24.6273309Z "digest": "sha256:1e43a43b4f066f3d26e6ef5cb34fe1c729f7ebb72976d92b02367752a5c72bb4" 2025-09-07T07:29:24.6273698Z }, 2025-09-07T07:29:24.6273844Z { 2025-09-07T07:29:24.6274114Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6274458Z "size": 1369, 2025-09-07T07:29:24.6274792Z "digest": "sha256:968c538d5104090ee324d3f7e11d3524e8d282ac51a8187546f9348d705f7391" 2025-09-07T07:29:24.6275325Z }, 2025-09-07T07:29:24.6275469Z { 2025-09-07T07:29:24.6275738Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6276079Z "size": 32, 2025-09-07T07:29:24.6276421Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:29:24.6276813Z }, 2025-09-07T07:29:24.6276958Z { 2025-09-07T07:29:24.6277225Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6277568Z "size": 136, 2025-09-07T07:29:24.6277904Z "digest": "sha256:575807ea3b5f8afba79759ff01fb50da569fa8263726404df19d016f0562bbde" 2025-09-07T07:29:24.6278294Z }, 2025-09-07T07:29:24.6278436Z { 2025-09-07T07:29:24.6278705Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6279059Z "size": 380, 2025-09-07T07:29:24.6279497Z "digest": "sha256:6a61bbb320049660d19a61d909d95a4561774698fc6db2770885aafee600a360" 2025-09-07T07:29:24.6279892Z }, 2025-09-07T07:29:24.6280044Z { 2025-09-07T07:29:24.6280313Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6280662Z "size": 979283315, 2025-09-07T07:29:24.6281024Z "digest": "sha256:f88dbb5c90de18bfddff326da203a7af18680486c3be8c12948926bf9d0ffa79" 2025-09-07T07:29:24.6281427Z }, 2025-09-07T07:29:24.6281575Z { 2025-09-07T07:29:24.6281845Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6282187Z "size": 104, 2025-09-07T07:29:24.6282531Z "digest": "sha256:08443826e2c53c5cac1c198c5db0e7c44c5bc3cc7c644e2ac5c8f96c40566501" 2025-09-07T07:29:24.6282922Z }, 2025-09-07T07:29:24.6283067Z { 2025-09-07T07:29:24.6283333Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6283679Z "size": 407, 2025-09-07T07:29:24.6284019Z "digest": "sha256:923b78b302940958a199d259e5ad1e2d469ddd34aa0e99cfed1eb74e2584fba0" 2025-09-07T07:29:24.6284411Z }, 2025-09-07T07:29:24.6284558Z { 2025-09-07T07:29:24.6284829Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6285185Z "size": 177786912, 2025-09-07T07:29:24.6285537Z "digest": "sha256:0751aba37e5a50eb07a627d73c152e5e49f9868fe35912077806fe3b676d6e82" 2025-09-07T07:29:24.6285921Z }, 2025-09-07T07:29:24.6286068Z { 2025-09-07T07:29:24.6286340Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6286690Z "size": 109, 2025-09-07T07:29:24.6287023Z "digest": "sha256:fbe315c5491d2d86350697f89fea7f2a1450c426f5d3e50f314fa6451543dba8" 2025-09-07T07:29:24.6287413Z }, 2025-09-07T07:29:24.6287560Z { 2025-09-07T07:29:24.6287835Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6288176Z "size": 1896, 2025-09-07T07:29:24.6288516Z "digest": "sha256:af69784d4cfc8f22cd48487f7a473b334683969a216ae75357a59a6bd161fbc0" 2025-09-07T07:29:24.6288910Z }, 2025-09-07T07:29:24.6289062Z { 2025-09-07T07:29:24.6289330Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6289685Z "size": 236755277, 2025-09-07T07:29:24.6290045Z "digest": "sha256:91e4deab4f89beb8fd430738fe6ae39256401ed1bf3b256a566c6265fab2dca6" 2025-09-07T07:29:24.6290442Z }, 2025-09-07T07:29:24.6290588Z { 2025-09-07T07:29:24.6290860Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6291208Z "size": 106, 2025-09-07T07:29:24.6291550Z "digest": "sha256:c1d56a01ea406308c34e9089673abb778aede0510d9280b45e1a0151a4343c10" 2025-09-07T07:29:24.6291936Z }, 2025-09-07T07:29:24.6292086Z { 2025-09-07T07:29:24.6292360Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6292708Z "size": 163, 2025-09-07T07:29:24.6293043Z "digest": "sha256:9ad931d990d437134cd1401c20794b6f851d023afa54fbce4166a34cdf599544" 2025-09-07T07:29:24.6293436Z }, 2025-09-07T07:29:24.6293586Z { 2025-09-07T07:29:24.6293862Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6294365Z "size": 7943, 2025-09-07T07:29:24.6294719Z "digest": "sha256:df5b3d079e9e5cdd3d2e21d2fdc4ffce8b71ca9940e685b1065f99b486762ed4" 2025-09-07T07:29:24.6295123Z }, 2025-09-07T07:29:24.6295274Z { 2025-09-07T07:29:24.6295540Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6295887Z "size": 8075, 2025-09-07T07:29:24.6296218Z "digest": "sha256:24f5a79527e36e783e09941f86d47277429c78c36137b0f1ca5b5599080894dd" 2025-09-07T07:29:24.6296597Z }, 2025-09-07T07:29:24.6296742Z { 2025-09-07T07:29:24.6297012Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6297358Z "size": 302, 2025-09-07T07:29:24.6297696Z "digest": "sha256:4166cbf927c324e2961271c43f4fd4604caab5bcb537e5e3cbe3a89599f5caef" 2025-09-07T07:29:24.6298083Z }, 2025-09-07T07:29:24.6298230Z { 2025-09-07T07:29:24.6298633Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6298999Z "size": 32, 2025-09-07T07:29:24.6299347Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:29:24.6299746Z }, 2025-09-07T07:29:24.6299894Z { 2025-09-07T07:29:24.6300165Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6300505Z "size": 108, 2025-09-07T07:29:24.6300836Z "digest": "sha256:d243494d377d03f282a3e8703417520396fa042420dabd7730848f55db3969a6" 2025-09-07T07:29:24.6301217Z }, 2025-09-07T07:29:24.6301368Z { 2025-09-07T07:29:24.6301634Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6301986Z "size": 54145658, 2025-09-07T07:29:24.6302336Z "digest": "sha256:8a28267fa33261af473c2c4f617903a0c7af7cf2203014da2f37b5dd58aac207" 2025-09-07T07:29:24.6302725Z }, 2025-09-07T07:29:24.6302870Z { 2025-09-07T07:29:24.6303138Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:24.6303489Z "size": 125, 2025-09-07T07:29:24.6303840Z "digest": "sha256:89735be27bd4dc00abc5df9a6483a79fe2dd2df2e86d6fa7db0fc871b1a6df57" 2025-09-07T07:29:24.6304248Z } 2025-09-07T07:29:24.6304397Z ] 2025-09-07T07:29:24.6304546Z } 2025-09-07T07:29:24.6328872Z ##[group]Run set -eux 2025-09-07T07:29:24.6329103Z set -eux 2025-09-07T07:29:24.6329464Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:29:24.6330463Z 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 2025-09-07T07:29:24.6337688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:24.6338004Z env: 2025-09-07T07:29:24.6338177Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:24.6338382Z ##[endgroup] 2025-09-07T07:29:24.6363978Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:29:24.6364784Z + jq --raw-output .SecretString 2025-09-07T07:29:24.6365685Z + jq -r .docker_hub_readonly_token 2025-09-07T07:29:24.6366555Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:29:25.1536212Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:25.1536742Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:25.1537245Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:25.1537580Z 2025-09-07T07:29:25.1537890Z Login Succeeded 2025-09-07T07:29:25.1624827Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:25.1625230Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:25.1625570Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:29:25.1632354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:25.1632672Z env: 2025-09-07T07:29:25.1632844Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:25.1633652Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.1634674Z ##[endgroup] 2025-09-07T07:29:25.1659585Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.1700415Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:29:25.1700826Z with: 2025-09-07T07:29:25.1701582Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.1702491Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:25.1702806Z env: 2025-09-07T07:29:25.1702977Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:25.1703190Z ##[endgroup] 2025-09-07T07:29:25.1717069Z ##[group]Run set -x 2025-09-07T07:29:25.1717289Z set -x 2025-09-07T07:29:25.1717483Z set +e 2025-09-07T07:29:25.1717657Z  2025-09-07T07:29:25.1717818Z login() { 2025-09-07T07:29:25.1718219Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:25.1718656Z } 2025-09-07T07:29:25.1718821Z  2025-09-07T07:29:25.1719007Z retry () { 2025-09-07T07:29:25.1719236Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:25.1719494Z } 2025-09-07T07:29:25.1719657Z  2025-09-07T07:29:25.1719850Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:25.1720104Z  2025-09-07T07:29:25.1720510Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:29:25.1721075Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:29:25.1721388Z  2025-09-07T07:29:25.1721553Z set -e 2025-09-07T07:29:25.1721843Z # ignore output since only exit code is used for conditional 2025-09-07T07:29:25.1722257Z # only pull docker image if it's not available locally 2025-09-07T07:29:25.1722721Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:29:25.1723155Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:29:25.1723421Z fi 2025-09-07T07:29:25.1728981Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:25.1729294Z env: 2025-09-07T07:29:25.1729466Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:25.1730258Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.1731155Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:25.1731476Z ##[endgroup] 2025-09-07T07:29:25.1752164Z + set +e 2025-09-07T07:29:25.1752431Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:25.1752810Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:25.1755315Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:25.1756010Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:25.6235186Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:25.6235705Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:25.6236192Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:25.6236525Z 2025-09-07T07:29:25.6237066Z Login Succeeded 2025-09-07T07:29:25.6256509Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.6257439Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:29:25.8138281Z + IMAGE_SIZE=16908.71542263031 2025-09-07T07:29:25.8138621Z + echo 'Compressed size of image in MB: 16908.71542263031' 2025-09-07T07:29:25.8138922Z + set -e 2025-09-07T07:29:25.8139132Z Compressed size of image in MB: 16908.71542263031 2025-09-07T07:29:25.8140407Z + 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 2025-09-07T07:29:25.8258321Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.8259733Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:26.0037916Z pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:29:26.0038680Z 8bbfefac75f4: Pulling fs layer 2025-09-07T07:29:26.0038917Z 1034e845500b: Pulling fs layer 2025-09-07T07:29:26.0039145Z 7108634f1291: Pulling fs layer 2025-09-07T07:29:26.0039375Z 9f402ac333db: Pulling fs layer 2025-09-07T07:29:26.0039614Z b2a4ed722058: Pulling fs layer 2025-09-07T07:29:26.0039879Z d96fa71aa7d0: Pulling fs layer 2025-09-07T07:29:26.0040112Z ab8dd3557a1f: Pulling fs layer 2025-09-07T07:29:26.0040351Z fd99b0dcee89: Pulling fs layer 2025-09-07T07:29:26.0040587Z f7b4a101181d: Pulling fs layer 2025-09-07T07:29:26.0040819Z aae584ec1580: Pulling fs layer 2025-09-07T07:29:26.0041048Z 4906db9d12bf: Pulling fs layer 2025-09-07T07:29:26.0041281Z cc22251711f7: Pulling fs layer 2025-09-07T07:29:26.0041512Z 7022473e3fe9: Pulling fs layer 2025-09-07T07:29:26.0041744Z 44dfb511788f: Pulling fs layer 2025-09-07T07:29:26.0041981Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:29:26.0042215Z 20ee7a042819: Pulling fs layer 2025-09-07T07:29:26.0042447Z 1acbc52cc958: Pulling fs layer 2025-09-07T07:29:26.0042685Z 56a48ab89702: Pulling fs layer 2025-09-07T07:29:26.0042912Z 3f2a38e8e42c: Pulling fs layer 2025-09-07T07:29:26.0043144Z 67060a7526c7: Pulling fs layer 2025-09-07T07:29:26.0043370Z 5044c8e66435: Pulling fs layer 2025-09-07T07:29:26.0043601Z e8e3b05e8ebf: Pulling fs layer 2025-09-07T07:29:26.0043841Z f1f79ed6e837: Pulling fs layer 2025-09-07T07:29:26.0044072Z e9247cb8405c: Pulling fs layer 2025-09-07T07:29:26.0044309Z 9c69a27176e5: Pulling fs layer 2025-09-07T07:29:26.0044545Z e7fb26a8f333: Pulling fs layer 2025-09-07T07:29:26.0044782Z afdfb47fc1ed: Pulling fs layer 2025-09-07T07:29:26.0045015Z 488b5af903b5: Pulling fs layer 2025-09-07T07:29:26.0045247Z 36e30b1c2982: Pulling fs layer 2025-09-07T07:29:26.0045468Z 9f402ac333db: Waiting 2025-09-07T07:29:26.0045671Z 05ee2b3d005a: Pulling fs layer 2025-09-07T07:29:26.0045948Z ab8dd3557a1f: Waiting 2025-09-07T07:29:26.0046147Z fd99b0dcee89: Waiting 2025-09-07T07:29:26.0046346Z 1acbc52cc958: Waiting 2025-09-07T07:29:26.0046547Z f7b4a101181d: Waiting 2025-09-07T07:29:26.0046751Z 6ffeb6d1993e: Pulling fs layer 2025-09-07T07:29:26.0046979Z f1f79ed6e837: Waiting 2025-09-07T07:29:26.0047191Z afeef50b4508: Pulling fs layer 2025-09-07T07:29:26.0047417Z aae584ec1580: Waiting 2025-09-07T07:29:26.0047605Z 5044c8e66435: Waiting 2025-09-07T07:29:26.0047806Z e8e3b05e8ebf: Waiting 2025-09-07T07:29:26.0048004Z b2a4ed722058: Waiting 2025-09-07T07:29:26.0048211Z 3fcf510a2172: Pulling fs layer 2025-09-07T07:29:26.0048430Z 4906db9d12bf: Waiting 2025-09-07T07:29:26.0048623Z 56a48ab89702: Waiting 2025-09-07T07:29:26.0048820Z e9247cb8405c: Waiting 2025-09-07T07:29:26.0049023Z d1b4c895928e: Pulling fs layer 2025-09-07T07:29:26.0049240Z 9c69a27176e5: Waiting 2025-09-07T07:29:26.0059580Z cc22251711f7: Waiting 2025-09-07T07:29:26.0059814Z afdfb47fc1ed: Waiting 2025-09-07T07:29:26.0060012Z e7fb26a8f333: Waiting 2025-09-07T07:29:26.0060226Z 69ec6a4b91e8: Pulling fs layer 2025-09-07T07:29:26.0060454Z 3f2a38e8e42c: Waiting 2025-09-07T07:29:26.0060925Z 7022473e3fe9: Waiting 2025-09-07T07:29:26.0061111Z 20ee7a042819: Waiting 2025-09-07T07:29:26.0061313Z 102375337d73: Pulling fs layer 2025-09-07T07:29:26.0061533Z 44dfb511788f: Waiting 2025-09-07T07:29:26.0061726Z d96fa71aa7d0: Waiting 2025-09-07T07:29:26.0061928Z 4accd97ef2e2: Pulling fs layer 2025-09-07T07:29:26.0062337Z 488b5af903b5: Waiting 2025-09-07T07:29:26.0062574Z 9ee269fa5570: Pulling fs layer 2025-09-07T07:29:26.0062799Z 36e30b1c2982: Waiting 2025-09-07T07:29:26.0063004Z d193fbc9ee81: Pulling fs layer 2025-09-07T07:29:26.0063235Z 99a2462c8c29: Pulling fs layer 2025-09-07T07:29:26.0063452Z 4f4fb700ef54: Waiting 2025-09-07T07:29:26.0063648Z 69ec6a4b91e8: Waiting 2025-09-07T07:29:26.0063835Z 05ee2b3d005a: Waiting 2025-09-07T07:29:26.0064041Z fe1294e18ed0: Pulling fs layer 2025-09-07T07:29:26.0064262Z 6ffeb6d1993e: Waiting 2025-09-07T07:29:26.0064460Z afeef50b4508: Waiting 2025-09-07T07:29:26.0064647Z 3fcf510a2172: Waiting 2025-09-07T07:29:26.0064836Z 102375337d73: Waiting 2025-09-07T07:29:26.0065032Z 9ee269fa5570: Waiting 2025-09-07T07:29:26.0065226Z 4accd97ef2e2: Waiting 2025-09-07T07:29:26.0065418Z d193fbc9ee81: Waiting 2025-09-07T07:29:26.0065623Z f379f1cd3010: Pulling fs layer 2025-09-07T07:29:26.0065844Z d1b4c895928e: Waiting 2025-09-07T07:29:26.0066048Z 6ae93e16ed4e: Pulling fs layer 2025-09-07T07:29:26.0066274Z 99a2462c8c29: Waiting 2025-09-07T07:29:26.0066468Z f379f1cd3010: Waiting 2025-09-07T07:29:26.0066663Z 6ae93e16ed4e: Waiting 2025-09-07T07:29:26.0066863Z f995c3109bd8: Pulling fs layer 2025-09-07T07:29:26.0067096Z 058384795bac: Pulling fs layer 2025-09-07T07:29:26.0067330Z 3e762f827dd1: Pulling fs layer 2025-09-07T07:29:26.0067565Z 6acfbf2cdc17: Pulling fs layer 2025-09-07T07:29:26.0067794Z 1e43a43b4f06: Pulling fs layer 2025-09-07T07:29:26.0068027Z 968c538d5104: Pulling fs layer 2025-09-07T07:29:26.0068256Z 575807ea3b5f: Pulling fs layer 2025-09-07T07:29:26.0068487Z 6a61bbb32004: Pulling fs layer 2025-09-07T07:29:26.0068702Z f995c3109bd8: Waiting 2025-09-07T07:29:26.0068910Z f88dbb5c90de: Pulling fs layer 2025-09-07T07:29:26.0069149Z 08443826e2c5: Pulling fs layer 2025-09-07T07:29:26.0069371Z 575807ea3b5f: Waiting 2025-09-07T07:29:26.0069572Z 923b78b30294: Pulling fs layer 2025-09-07T07:29:26.0069802Z 0751aba37e5a: Pulling fs layer 2025-09-07T07:29:26.0070021Z 058384795bac: Waiting 2025-09-07T07:29:26.0070217Z 6a61bbb32004: Waiting 2025-09-07T07:29:26.0070419Z fbe315c5491d: Pulling fs layer 2025-09-07T07:29:26.0070642Z f88dbb5c90de: Waiting 2025-09-07T07:29:26.0070833Z 968c538d5104: Waiting 2025-09-07T07:29:26.0071025Z 3e762f827dd1: Waiting 2025-09-07T07:29:26.0071216Z 6acfbf2cdc17: Waiting 2025-09-07T07:29:26.0071426Z af69784d4cfc: Pulling fs layer 2025-09-07T07:29:26.0071645Z 08443826e2c5: Waiting 2025-09-07T07:29:26.0071851Z 91e4deab4f89: Pulling fs layer 2025-09-07T07:29:26.0072071Z 1e43a43b4f06: Waiting 2025-09-07T07:29:26.0072266Z fbe315c5491d: Waiting 2025-09-07T07:29:26.0072459Z 923b78b30294: Waiting 2025-09-07T07:29:26.0072660Z c1d56a01ea40: Pulling fs layer 2025-09-07T07:29:26.0072883Z 0751aba37e5a: Waiting 2025-09-07T07:29:26.0073088Z 9ad931d990d4: Pulling fs layer 2025-09-07T07:29:26.0073327Z df5b3d079e9e: Pulling fs layer 2025-09-07T07:29:26.0073552Z 91e4deab4f89: Waiting 2025-09-07T07:29:26.0073756Z 24f5a79527e3: Pulling fs layer 2025-09-07T07:29:26.0073976Z df5b3d079e9e: Waiting 2025-09-07T07:29:26.0074188Z 4166cbf927c3: Pulling fs layer 2025-09-07T07:29:26.0074407Z 9ad931d990d4: Waiting 2025-09-07T07:29:26.0074596Z c1d56a01ea40: Waiting 2025-09-07T07:29:26.0074789Z 24f5a79527e3: Waiting 2025-09-07T07:29:26.0074991Z d243494d377d: Pulling fs layer 2025-09-07T07:29:26.0075216Z 4166cbf927c3: Waiting 2025-09-07T07:29:26.0075416Z 8a28267fa332: Pulling fs layer 2025-09-07T07:29:26.0075649Z 89735be27bd4: Pulling fs layer 2025-09-07T07:29:26.0075868Z d243494d377d: Waiting 2025-09-07T07:29:26.0076057Z 8a28267fa332: Waiting 2025-09-07T07:29:26.0076244Z 89735be27bd4: Waiting 2025-09-07T07:29:26.0763913Z 1034e845500b: Verifying Checksum 2025-09-07T07:29:26.0764168Z 1034e845500b: Download complete 2025-09-07T07:29:26.1397928Z 9f402ac333db: Verifying Checksum 2025-09-07T07:29:26.1398187Z 9f402ac333db: Download complete 2025-09-07T07:29:26.2059911Z b2a4ed722058: Verifying Checksum 2025-09-07T07:29:26.2060160Z b2a4ed722058: Download complete 2025-09-07T07:29:26.2957236Z d96fa71aa7d0: Verifying Checksum 2025-09-07T07:29:26.2957739Z d96fa71aa7d0: Download complete 2025-09-07T07:29:26.3298012Z 8bbfefac75f4: Verifying Checksum 2025-09-07T07:29:26.3298520Z 8bbfefac75f4: Download complete 2025-09-07T07:29:26.3824704Z ab8dd3557a1f: Download complete 2025-09-07T07:29:26.4022106Z fd99b0dcee89: Verifying Checksum 2025-09-07T07:29:26.4022370Z fd99b0dcee89: Download complete 2025-09-07T07:29:26.4536384Z f7b4a101181d: Verifying Checksum 2025-09-07T07:29:26.4536639Z f7b4a101181d: Download complete 2025-09-07T07:29:26.4697440Z aae584ec1580: Download complete 2025-09-07T07:29:26.5078402Z 4906db9d12bf: Verifying Checksum 2025-09-07T07:29:26.5078654Z 4906db9d12bf: Download complete 2025-09-07T07:29:26.5382896Z cc22251711f7: Verifying Checksum 2025-09-07T07:29:26.5383169Z cc22251711f7: Download complete 2025-09-07T07:29:26.5793342Z 7022473e3fe9: Verifying Checksum 2025-09-07T07:29:26.5793589Z 7022473e3fe9: Download complete 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:31.9345338Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:31.9402481Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:31.9403388Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:31.9413938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:31.9414255Z env: 2025-09-07T07:33:31.9414432Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:31.9414645Z ##[endgroup] 2025-09-07T07:33:31.9497494Z Prepare all required actions 2025-09-07T07:33:31.9579440Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:33:31.9579727Z with: 2025-09-07T07:33:31.9580243Z github-token: *** 2025-09-07T07:33:31.9580432Z env: 2025-09-07T07:33:31.9580598Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:31.9581089Z ##[endgroup] 2025-09-07T07:33:31.9728292Z ##[group]Run set -eux 2025-09-07T07:33:31.9728510Z set -eux 2025-09-07T07:33:31.9728881Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:33:31.9734904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:31.9735226Z env: 2025-09-07T07:33:31.9735398Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:31.9735780Z GITHUB_TOKEN: *** 2025-09-07T07:33:31.9735971Z ##[endgroup] 2025-09-07T07:33:31.9758839Z + python3 .github/scripts/get_workflow_job_id.py 17525321311 i-0fa0d208f43533168 2025-09-07T07:33:33.3205994Z Setting output job-id=49775354766 2025-09-07T07:33:33.3206678Z Setting output job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:33.3341336Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:33.3342054Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:33.3342883Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:33:33.3343617Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:33.3350272Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:33.3350587Z env: 2025-09-07T07:33:33.3350760Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:33.3350974Z JOB_ID: 49775354766 2025-09-07T07:33:33.3351443Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:33.3352003Z WORKFLOW_NAME: inductor-perf-nightly-aarch64 2025-09-07T07:33:33.3352319Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T07:33:33.3352551Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:33:33.3352777Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:33:33.3353025Z ##[endgroup] 2025-09-07T07:33:33.9380654Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:33:34.2333771Z Collecting psutil==5.9.8 2025-09-07T07:33:34.2478422Z Downloading psutil-5.9.8.tar.gz (503 kB) 2025-09-07T07:33:34.4377948Z Installing build dependencies: started 2025-09-07T07:33:37.3031867Z Installing build dependencies: finished with status 'done' 2025-09-07T07:33:37.3058250Z Getting requirements to build wheel: started 2025-09-07T07:33:37.7291258Z Getting requirements to build wheel: finished with status 'done' 2025-09-07T07:33:37.7300938Z Preparing metadata (pyproject.toml): started 2025-09-07T07:33:38.3142326Z Preparing metadata (pyproject.toml): finished with status 'done' 2025-09-07T07:33:38.3790810Z Collecting dataclasses_json==0.6.7 2025-09-07T07:33:38.3824711Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:33:38.4878082Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:33:38.4909506Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:33:38.6239972Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:33:38.6272410Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:33:38.8538375Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:33:38.8569562Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:33:39.0323161Z Collecting packaging>=17.0 2025-09-07T07:33:39.0354150Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:33:39.1718661Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:33:39.1751483Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:33:39.3337648Z Collecting typing-extensions>=3.7.4 2025-09-07T07:33:39.3369311Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:33:39.4045052Z Building wheels for collected packages: psutil 2025-09-07T07:33:39.4051195Z Building wheel for psutil (pyproject.toml): started 2025-09-07T07:33:39.6303660Z Building wheel for psutil (pyproject.toml): finished with status 'error' 2025-09-07T07:33:39.6304619Z ERROR: Command errored out with exit status 1: 2025-09-07T07:33:39.6305336Z command: /usr/bin/python3 /usr/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py build_wheel /tmp/tmphvf3bsil 2025-09-07T07:33:39.6306084Z cwd: /tmp/pip-install-v9ipqrru/psutil_292905e32d054692a8a08f0f3137454a 2025-09-07T07:33:39.6306470Z Complete output (59 lines): 2025-09-07T07:33:39.6307169Z /tmp/pip-build-env-6ynbll9k/overlay/lib/python3.9/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-09-07T07:33:39.6307880Z !! 2025-09-07T07:33:39.6308035Z 2025-09-07T07:33:39.6308232Z ******************************************************************************** 2025-09-07T07:33:39.6309020Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-09-07T07:33:39.6309472Z 2025-09-07T07:33:39.6309714Z License :: OSI Approved :: BSD License 2025-09-07T07:33:39.6309973Z 2025-09-07T07:33:39.6310384Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-09-07T07:33:39.6310890Z ******************************************************************************** 2025-09-07T07:33:39.6311157Z 2025-09-07T07:33:39.6311307Z !! 2025-09-07T07:33:39.6311488Z self._finalize_license_expression() 2025-09-07T07:33:39.6311752Z running bdist_wheel 2025-09-07T07:33:39.6311959Z running build 2025-09-07T07:33:39.6312147Z running build_py 2025-09-07T07:33:39.6312401Z creating build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6312853Z copying psutil/_pswindows.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6313376Z copying psutil/_pssunos.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6313889Z copying psutil/_psposix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6314392Z copying psutil/_psosx.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6314883Z copying psutil/_pslinux.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6315381Z copying psutil/_psbsd.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6315859Z copying psutil/_psaix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6316347Z copying psutil/_compat.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6316827Z copying psutil/_common.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6317318Z copying psutil/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6317766Z creating build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6318278Z copying psutil/tests/test_windows.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6318927Z copying psutil/tests/test_unicode.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6319557Z copying psutil/tests/test_testutils.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6320165Z copying psutil/tests/test_system.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6320767Z copying psutil/tests/test_sunos.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6321391Z copying psutil/tests/test_process_all.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6322018Z copying psutil/tests/test_process.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6322612Z copying psutil/tests/test_posix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6323201Z copying psutil/tests/test_osx.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6323790Z copying psutil/tests/test_misc.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6324394Z copying psutil/tests/test_memleaks.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6325226Z copying psutil/tests/test_linux.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6325843Z copying psutil/tests/test_contracts.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6326487Z copying psutil/tests/test_connections.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6327101Z copying psutil/tests/test_bsd.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6327682Z copying psutil/tests/test_aix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6328259Z copying psutil/tests/runner.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6328828Z copying psutil/tests/__main__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6329525Z copying psutil/tests/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:39.6329941Z running build_ext 2025-09-07T07:33:39.6330170Z building 'psutil._psutil_linux' extension 2025-09-07T07:33:39.6330499Z creating build/temp.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:39.6330903Z creating build/temp.linux-aarch64-cpython-39/psutil/arch/linux 2025-09-07T07:33:39.6335749Z 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 2025-09-07T07:33:39.6340733Z psutil/_psutil_common.c:9:10: fatal error: Python.h: No such file or directory 2025-09-07T07:33:39.6341123Z 9 | #include 2025-09-07T07:33:39.6341340Z | ^~~~~~~~~~ 2025-09-07T07:33:39.6341566Z compilation terminated. 2025-09-07T07:33:39.6342018Z psutil could not be installed from sources. Perhaps Python header files are not installed. Try running: 2025-09-07T07:33:39.6342520Z sudo yum install gcc python3-devel 2025-09-07T07:33:39.6342839Z error: command '/usr/bin/gcc' failed with exit code 1 2025-09-07T07:33:39.6343149Z ---------------------------------------- 2025-09-07T07:33:39.6343424Z ERROR: Failed building wheel for psutil 2025-09-07T07:33:39.6343905Z ERROR: Could not build wheels for psutil, which is required to install pyproject.toml-based projects 2025-09-07T07:33:39.6344374Z Failed to build psutil 2025-09-07T07:33:39.7007955Z ##[error]Process completed with exit code 1. 2025-09-07T07:33:39.7060893Z Prepare all required actions 2025-09-07T07:33:39.7061335Z Getting action download info 2025-09-07T07:33:39.8824953Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:33:40.9460315Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:33:44.4602048Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:33:44.4602368Z with: 2025-09-07T07:33:44.4602570Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:33:44.4603048Z s3-bucket: gha-artifacts 2025-09-07T07:33:44.4603254Z env: 2025-09-07T07:33:44.4603420Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:44.4603627Z ##[endgroup] 2025-09-07T07:33:44.4845096Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:33:44.4845379Z with: 2025-09-07T07:33:44.4845567Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:33:44.4845821Z s3-bucket: gha-artifacts 2025-09-07T07:33:44.4846062Z region: us-east-1 2025-09-07T07:33:44.4846239Z env: 2025-09-07T07:33:44.4846406Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:44.4846616Z ##[endgroup] 2025-09-07T07:33:45.1491382Z (node:51970) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:33:45.1491823Z 2025-09-07T07:33:45.1491992Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:33:45.1492467Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:33:45.1492976Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:33:45.9448567Z Found 1 objects with prefix pytorch/pytorch/17525321311/linux-jammy-aarch64-py3.10/ 2025-09-07T07:33:45.9449201Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:33:49.0118067Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:33:49.0124154Z Artifact download has finished successfully 2025-09-07T07:33:49.0377649Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:33:49.0377936Z unzip -o artifacts.zip 2025-09-07T07:33:49.0384586Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:49.0384903Z env: 2025-09-07T07:33:49.0385078Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:49.0385290Z ##[endgroup] 2025-09-07T07:33:49.1327063Z Archive: 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2025-09-07T07:33:53.7022814Z inflating: build/bin/apply_utils_test 2025-09-07T07:33:53.7083063Z inflating: build/bin/atest 2025-09-07T07:33:53.7147459Z inflating: build/bin/basic 2025-09-07T07:33:53.7203786Z inflating: build/bin/broadcast_test 2025-09-07T07:33:53.7255823Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:33:53.7315070Z inflating: build/bin/cpu_generator_test 2025-09-07T07:33:53.7369606Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:33:53.7458589Z inflating: build/bin/cpu_rng_test 2025-09-07T07:33:53.7511216Z inflating: build/bin/dlconvertor_test 2025-09-07T07:33:53.7570193Z inflating: build/bin/extension_backend_test 2025-09-07T07:33:53.7626610Z inflating: build/bin/half_test 2025-09-07T07:33:53.7724512Z inflating: build/bin/ivalue_test 2025-09-07T07:33:53.7775881Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:33:53.7830955Z inflating: build/bin/math_kernel_test 2025-09-07T07:33:53.7885793Z inflating: build/bin/memory_format_test 2025-09-07T07:33:53.7940544Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:33:53.7994877Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:33:53.8051783Z inflating: build/bin/native_test 2025-09-07T07:33:53.8103604Z inflating: build/bin/operator_name_test 2025-09-07T07:33:53.8155707Z inflating: build/bin/operators_test 2025-09-07T07:33:53.8208835Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:33:53.8275693Z inflating: build/bin/pow_test 2025-09-07T07:33:53.8335078Z inflating: build/bin/quantized_test 2025-09-07T07:33:53.8386138Z inflating: build/bin/reduce_ops_test 2025-09-07T07:33:53.8438467Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:33:53.8496025Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:33:53.8554830Z inflating: build/bin/scalar_test 2025-09-07T07:33:53.8607599Z inflating: build/bin/StorageUtils_test 2025-09-07T07:33:53.8660845Z inflating: build/bin/stride_properties_test 2025-09-07T07:33:53.8741764Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:33:53.8797649Z inflating: build/bin/test_parallel 2025-09-07T07:33:53.8849581Z inflating: build/bin/thread_init_test 2025-09-07T07:33:53.8905214Z inflating: build/bin/type_ptr_test 2025-09-07T07:33:53.8965802Z inflating: build/bin/type_test 2025-09-07T07:33:53.9019290Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:33:53.9069913Z inflating: build/bin/verify_api_visibility 2025-09-07T07:33:53.9139375Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:33:53.9191782Z inflating: build/bin/weakref_test 2025-09-07T07:33:53.9244331Z inflating: build/bin/wrapdim_test 2025-09-07T07:33:53.9297098Z inflating: build/bin/xla_tensor_test 2025-09-07T07:33:53.9358052Z inflating: build/bin/IListRef_test 2025-09-07T07:33:53.9468864Z inflating: build/bin/List_test 2025-09-07T07:33:53.9535915Z inflating: build/bin/KernelFunction_test 2025-09-07T07:33:53.9655994Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:33:53.9751057Z inflating: build/bin/kernel_function_test 2025-09-07T07:33:53.9852685Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:33:53.9977284Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:33:54.0038891Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:33:54.0133681Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:33:54.0186154Z inflating: build/bin/CppSignature_test 2025-09-07T07:33:54.0242631Z inflating: build/bin/backend_fallback_test 2025-09-07T07:33:54.0292514Z inflating: build/bin/op_allowlist_test 2025-09-07T07:33:54.0584804Z inflating: build/bin/op_registration_test 2025-09-07T07:33:54.0651598Z inflating: build/bin/inline_container_test 2025-09-07T07:33:54.1700982Z inflating: build/bin/test_jit 2025-09-07T07:33:54.1755216Z inflating: build/bin/FileStoreTest 2025-09-07T07:33:54.1808885Z inflating: build/bin/BackoffTest 2025-09-07T07:33:54.1866554Z inflating: build/bin/TCPStoreTest 2025-09-07T07:33:54.1921531Z inflating: build/bin/HashStoreTest 2025-09-07T07:33:54.2282541Z inflating: build/bin/test_nativert 2025-09-07T07:33:54.2285797Z inflating: build/bin/example_allreduce 2025-09-07T07:33:54.2353310Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:33:54.2409679Z inflating: build/bin/test_dist_autograd 2025-09-07T07:33:54.2478577Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:33:54.3558151Z inflating: build/bin/test_api 2025-09-07T07:33:54.3560442Z inflating: build/bin/parallel_benchmark 2025-09-07T07:33:54.3910155Z inflating: build/bin/test_lazy 2025-09-07T07:33:54.3913900Z inflating: build/bin/torch_shm_manager 2025-09-07T07:33:54.3914195Z creating: .additional_ci_files/ 2025-09-07T07:33:54.4007953Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:33:54.4359959Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:33:54.4395531Z ##[group]Run rm artifacts.zip 2025-09-07T07:33:54.4395789Z rm artifacts.zip 2025-09-07T07:33:54.4402447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:54.4402758Z env: 2025-09-07T07:33:54.4402928Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.4403148Z ##[endgroup] 2025-09-07T07:33:54.4752526Z ##[group]Run df -H 2025-09-07T07:33:54.4752729Z df -H 2025-09-07T07:33:54.4758537Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:54.4758863Z env: 2025-09-07T07:33:54.4759037Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.4759246Z ##[endgroup] 2025-09-07T07:33:54.4799251Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:33:54.4799596Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:33:54.4799876Z tmpfs 135G 0 135G 0% /dev/shm 2025-09-07T07:33:54.4800161Z tmpfs 54G 9.4M 54G 1% /run 2025-09-07T07:33:54.4800431Z /dev/nvme0n1p1 275G 47G 229G 17% / 2025-09-07T07:33:54.4800712Z tmpfs 135G 13k 135G 1% /tmp 2025-09-07T07:33:54.4800997Z /dev/nvme0n1p128 11M 1.5M 9.1M 14% /boot/efi 2025-09-07T07:33:54.4833153Z Prepare all required actions 2025-09-07T07:33:54.4834009Z Getting action download info 2025-09-07T07:33:54.6261291Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:33:54.6261615Z with: 2025-09-07T07:33:54.6261774Z env: 2025-09-07T07:33:54.6261944Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.6262153Z ##[endgroup] 2025-09-07T07:33:54.6318714Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:33:54.6318998Z with: 2025-09-07T07:33:54.6319164Z name: td_results 2025-09-07T07:33:54.6319363Z s3-bucket: gha-artifacts 2025-09-07T07:33:54.6319581Z region: us-east-1 2025-09-07T07:33:54.6319761Z env: 2025-09-07T07:33:54.6319948Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.6320158Z ##[endgroup] 2025-09-07T07:33:54.9799179Z (node:51990) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:33:54.9799611Z 2025-09-07T07:33:54.9799817Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:33:54.9800273Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:33:54.9800751Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:33:55.0760916Z Found 0 objects with prefix pytorch/pytorch/17525321311/td_results/ 2025-09-07T07:33:55.0766919Z Artifact download has finished successfully 2025-09-07T07:33:55.0995410Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:33:55.0995727Z mkdir -p .additional_ci_files 2025-09-07T07:33:55.0996096Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:33:55.1002665Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:55.1002975Z env: 2025-09-07T07:33:55.1003147Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:55.1003362Z ##[endgroup] 2025-09-07T07:33:55.1048949Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:33:55.1181542Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:33:55.1181953Z .github/scripts/parse_ref.py 2025-09-07T07:33:55.1187759Z shell: /usr/bin/bash -e {0} 2025-09-07T07:33:55.1187988Z env: 2025-09-07T07:33:55.1188184Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:55.1188393Z ##[endgroup] 2025-09-07T07:33:55.2250919Z Setting output branch=main 2025-09-07T07:33:55.2384892Z Prepare all required actions 2025-09-07T07:33:55.2385272Z Getting action download info 2025-09-07T07:33:55.3619104Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:33:55.3619394Z with: 2025-09-07T07:33:55.3620100Z github-token: *** 2025-09-07T07:33:55.3632703Z 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"}]} 2025-09-07T07:33:55.3645709Z job-name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:55.3646226Z env: 2025-09-07T07:33:55.3646400Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:55.3646614Z ##[endgroup] 2025-09-07T07:33:55.3690014Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:33:55.3690265Z with: 2025-09-07T07:33:55.3690424Z shell: bash 2025-09-07T07:33:55.3690606Z timeout_minutes: 10 2025-09-07T07:33:55.3690803Z max_attempts: 5 2025-09-07T07:33:55.3690994Z retry_wait_seconds: 30 2025-09-07T07:33:55.3691673Z 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 2025-09-07T07:33:55.3692391Z polling_interval_seconds: 1 2025-09-07T07:33:55.3692626Z warning_on_retry: true 2025-09-07T07:33:55.3692844Z continue_on_error: false 2025-09-07T07:33:55.3693048Z env: 2025-09-07T07:33:55.3693214Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:55.3693714Z GITHUB_TOKEN: *** 2025-09-07T07:33:55.3693916Z ##[endgroup] 2025-09-07T07:33:55.5084234Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:33:55.7242500Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:33:55.9197772Z Collecting requests==2.27.1 2025-09-07T07:33:55.9355127Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:33:56.1946336Z Collecting pyyaml==6.0.2 2025-09-07T07:33:56.1980474Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (720 kB) 2025-09-07T07:33:56.2983194Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:33:56.7060358Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:33:56.7104476Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:33:56.9415580Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:33:57.1065298Z Collecting certifi>=2017.4.17 2025-09-07T07:33:57.1100475Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:33:57.2522281Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:33:57.8009365Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:33:58.4387508Z Command completed after 1 attempt(s). 2025-09-07T07:33:58.4465196Z ##[group]Run set -x 2025-09-07T07:33:58.4465431Z set -x 2025-09-07T07:33:58.4465611Z  2025-09-07T07:33:58.4465935Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:33:58.4466346Z # in runner workspace 2025-09-07T07:33:58.4466668Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:33:58.4473425Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:58.4473739Z env: 2025-09-07T07:33:58.4473912Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:58.4474122Z ##[endgroup] 2025-09-07T07:33:58.4500000Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:33:58.4664032Z Setting output branch=main 2025-09-07T07:33:58.4732052Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:33:58.4732415Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:33:58.4732706Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:33:58.4732941Z  2025-09-07T07:33:58.4733261Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:33:58.4733667Z # in runner workspace 2025-09-07T07:33:58.4734029Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:33:58.4734439Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:33:58.4734718Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:33:58.4747374Z  --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"}]}" \ 2025-09-07T07:33:58.4760208Z  --selected-test-configs "" \ 2025-09-07T07:33:58.4760491Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:33:58.4760754Z  --tag "${TAG}" \ 2025-09-07T07:33:58.4760998Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:33:58.4761272Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:33:58.4761532Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:33:58.4767367Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:58.4767687Z env: 2025-09-07T07:33:58.4767860Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:58.4768342Z GITHUB_TOKEN: *** 2025-09-07T07:33:58.4768831Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:58.4769355Z PR_NUMBER: 2025-09-07T07:33:58.4769530Z TAG: 2025-09-07T07:33:58.4769697Z EVENT_NAME: schedule 2025-09-07T07:33:58.4769895Z SCHEDULE: 0 7 * * * 2025-09-07T07:33:58.4770094Z HEAD_BRANCH: main 2025-09-07T07:33:58.4770281Z ##[endgroup] 2025-09-07T07:33:58.4792066Z Workflow: inductor-perf-nightly-aarch64 2025-09-07T07:33:58.4792632Z Job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:58.7009701Z Setting output keep-going=True 2025-09-07T07:33:58.7009975Z Setting output ci-verbose-test-logs=False 2025-09-07T07:33:58.7010282Z Setting output ci-test-showlocals=False 2025-09-07T07:33:58.7010582Z Setting output ci-no-test-timeout=False 2025-09-07T07:33:58.7010866Z Setting output ci-no-td=False 2025-09-07T07:33:58.7011126Z Setting output ci-td-distributed=False 2025-09-07T07:33:58.7011404Z Setting output is-unstable=False 2025-09-07T07:33:58.7011936Z Setting output reenabled-issues= 2025-09-07T07:33:58.7024890Z 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"}]} 2025-09-07T07:33:58.7037766Z Setting output is-test-matrix-empty=False 2025-09-07T07:33:58.7162260Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:33:58.7162707Z echo "Filtered matrix:" 2025-09-07T07:33:58.7175361Z 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"}]}" 2025-09-07T07:33:58.7188069Z  2025-09-07T07:33:58.7188235Z echo 2025-09-07T07:33:58.7188464Z echo "Is the current job unstable? False" 2025-09-07T07:33:58.7188738Z  2025-09-07T07:33:58.7188900Z echo 2025-09-07T07:33:58.7189116Z echo "Is keep-going label set? True" 2025-09-07T07:33:58.7189382Z  2025-09-07T07:33:58.7189541Z echo 2025-09-07T07:33:58.7189735Z echo "Reenabled issues? " 2025-09-07T07:33:58.7195937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:58.7196249Z env: 2025-09-07T07:33:58.7196420Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:58.7196624Z ##[endgroup] 2025-09-07T07:33:58.7218985Z Filtered matrix: 2025-09-07T07:33:58.7234346Z {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}]} 2025-09-07T07:33:58.7246718Z 2025-09-07T07:33:58.7246825Z Is the current job unstable? False 2025-09-07T07:33:58.7247004Z 2025-09-07T07:33:58.7247094Z Is keep-going label set? True 2025-09-07T07:33:58.7247261Z 2025-09-07T07:33:58.7247338Z Reenabled issues? 2025-09-07T07:33:58.7387046Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:58.7387543Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:58.7393585Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:58.7393905Z env: 2025-09-07T07:33:58.7394080Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:58.7394297Z JOB_TIMEOUT: 720 2025-09-07T07:33:58.7394478Z ##[endgroup] 2025-09-07T07:33:58.7530187Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:33:58.7530673Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:33:58.7531066Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:33:58.7536889Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:58.7537198Z env: 2025-09-07T07:33:58.7537369Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:58.7537589Z ##[endgroup] 2025-09-07T07:33:58.7718985Z ##[group]Run set -x 2025-09-07T07:33:58.7719322Z set -x 2025-09-07T07:33:58.7719505Z  2025-09-07T07:33:58.7719715Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:33:58.7720060Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:33:58.7720395Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:33:58.7720703Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:33:58.7720955Z else 2025-09-07T07:33:58.7721161Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:33:58.7721416Z fi 2025-09-07T07:33:58.7721577Z  2025-09-07T07:33:58.7721795Z # Leaving 1GB for the runner and other things 2025-09-07T07:33:58.7722298Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:33:58.7723046Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:33:58.7723854Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:33:58.7724313Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:33:58.7724664Z  2025-09-07T07:33:58.7724880Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:33:58.7725166Z  SHM_OPTS= 2025-09-07T07:33:58.7725369Z  JENKINS_USER= 2025-09-07T07:33:58.7725668Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:33:58.7726082Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:33:58.7726415Z  # when job is cancelled 2025-09-07T07:33:58.7726674Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:33:58.7726921Z else 2025-09-07T07:33:58.7727130Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:33:58.7727411Z  JENKINS_USER="--user jenkins" 2025-09-07T07:33:58.7727686Z  DOCKER_SHELL_CMD= 2025-09-07T07:33:58.7727898Z fi 2025-09-07T07:33:58.7728062Z  2025-09-07T07:33:58.7728342Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:33:58.7728801Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:33:58.7729331Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:33:58.7729792Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:33:58.7730076Z container_name=$(docker run \ 2025-09-07T07:33:58.7730335Z  ${GPU_FLAG:-} \ 2025-09-07T07:33:58.7730589Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:33:58.7730879Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:33:58.7731127Z  -e PR_NUMBER \ 2025-09-07T07:33:58.7731348Z  -e GITHUB_ACTIONS \ 2025-09-07T07:33:58.7731592Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:33:58.7731854Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:33:58.7732096Z  -e GITHUB_JOB \ 2025-09-07T07:33:58.7732317Z  -e GITHUB_RUN_ID \ 2025-09-07T07:33:58.7732553Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:33:58.7732804Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:33:58.7733048Z  -e JOB_ID \ 2025-09-07T07:33:58.7733252Z  -e JOB_NAME \ 2025-09-07T07:33:58.7733468Z  -e BASE_SHA \ 2025-09-07T07:33:58.7733679Z  -e BRANCH \ 2025-09-07T07:33:58.7733885Z  -e SHA1 \ 2025-09-07T07:33:58.7734096Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:33:58.7734341Z  -e IN_WHEEL_TEST \ 2025-09-07T07:33:58.7734569Z  -e SHARD_NUMBER \ 2025-09-07T07:33:58.7734795Z  -e TEST_CONFIG \ 2025-09-07T07:33:58.7735026Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:33:58.7735268Z  -e REENABLED_ISSUES \ 2025-09-07T07:33:58.7735520Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:33:58.7735964Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:33:58.7736228Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:33:58.7736464Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:33:58.7736691Z  -e NO_TD \ 2025-09-07T07:33:58.7736900Z  -e TD_DISTRIBUTED \ 2025-09-07T07:33:58.7737131Z  -e PR_LABELS \ 2025-09-07T07:33:58.7737376Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:33:58.7737657Z  -e SCCACHE_BUCKET \ 2025-09-07T07:33:58.7737891Z  -e SCCACHE_REGION \ 2025-09-07T07:33:58.7738117Z  -e XLA_CUDA \ 2025-09-07T07:33:58.7738354Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:33:58.7738660Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:33:58.7738975Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:33:58.7739289Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:33:58.7739576Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:33:58.7739966Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:33:58.7740260Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:33:58.7740532Z  -e DASHBOARD_TAG \ 2025-09-07T07:33:58.7740772Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:33:58.7741076Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:33:58.7741432Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:33:58.7741783Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:33:58.7742118Z  --security-opt seccomp=unconfined \ 2025-09-07T07:33:58.7742400Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:33:58.7742645Z  --ipc=host \ 2025-09-07T07:33:58.7742857Z  ${SHM_OPTS} \ 2025-09-07T07:33:58.7743062Z  --tty \ 2025-09-07T07:33:58.7743249Z  --detach \ 2025-09-07T07:33:58.7743468Z  --name="${container_name}" \ 2025-09-07T07:33:58.7743729Z  ${JENKINS_USER} \ 2025-09-07T07:33:58.7744031Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:33:58.7744366Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:33:58.7744631Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:33:58.7744863Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:33:58.7745080Z ) 2025-09-07T07:33:58.7745319Z # Propagate download.pytorch.org IP to container 2025-09-07T07:33:58.7745891Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:33:58.7746504Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:33:58.7746848Z  2025-09-07T07:33:58.7747063Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:33:58.7747559Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:33:58.7748003Z fi 2025-09-07T07:33:58.7748174Z  2025-09-07T07:33:58.7748598Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:33:58.7754717Z shell: /usr/bin/bash -e {0} 2025-09-07T07:33:58.7754930Z env: 2025-09-07T07:33:58.7755099Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:58.7755361Z BUILD_ENVIRONMENT: linux-jammy-aarch64-py3.10 2025-09-07T07:33:58.7755641Z PR_NUMBER: 2025-09-07T07:33:58.7755834Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:33:58.7756134Z GITHUB_WORKFLOW: inductor-perf-nightly-aarch64 2025-09-07T07:33:58.7756416Z GITHUB_JOB: test 2025-09-07T07:33:58.7756609Z GITHUB_RUN_ID: 17525321311 2025-09-07T07:33:58.7756828Z GITHUB_RUN_NUMBER: 706 2025-09-07T07:33:58.7757036Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:33:58.7757234Z JOB_ID: 49775354766 2025-09-07T07:33:58.7757699Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:58.7758212Z BRANCH: main 2025-09-07T07:33:58.7758559Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:33:58.7758889Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:33:58.7759203Z TEST_CONFIG: inductor_timm_perf_cpu_aarch64 2025-09-07T07:33:58.7759469Z SHARD_NUMBER: 8 2025-09-07T07:33:58.7759652Z NUM_TEST_SHARDS: 15 2025-09-07T07:33:58.7759850Z REENABLED_ISSUES: 2025-09-07T07:33:58.7760058Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:33:58.7760291Z VERBOSE_TEST_LOGS: False 2025-09-07T07:33:58.7760505Z TEST_SHOWLOCALS: False 2025-09-07T07:33:58.7760720Z NO_TEST_TIMEOUT: False 2025-09-07T07:33:58.7760919Z NO_TD: False 2025-09-07T07:33:58.7761099Z TD_DISTRIBUTED: False 2025-09-07T07:33:58.7761354Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:33:58.7761660Z SCCACHE_REGION: us-east-1 2025-09-07T07:33:58.7761870Z SHM_SIZE: 1g 2025-09-07T07:33:58.7762630Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:58.7763543Z XLA_CUDA: 2025-09-07T07:33:58.7763845Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:33:58.7764234Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:33:58.7764502Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:33:58.7765071Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:33:58.7765814Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:33:58.7766167Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:33:58.7766515Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:33:58.7766965Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T07:33:58.7767413Z ##[endgroup] 2025-09-07T07:33:58.7788436Z + [[ inductor_timm_perf_cpu_aarch64 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:33:58.7788781Z + [[ linux-jammy-aarch64-py3.10 == *onnx* ]] 2025-09-07T07:33:58.7789085Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:33:58.7791478Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:33:58.7809901Z + TOTAL_AVAILABLE_MEMORY_IN_GB='250.189 ' 2025-09-07T07:33:58.7810178Z + TOTAL_MEMORY_WITH_SWAP=253 2025-09-07T07:33:58.7810448Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:33:58.7810731Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:33:58.7810951Z + JENKINS_USER='--user jenkins' 2025-09-07T07:33:58.7811193Z + DOCKER_SHELL_CMD= 2025-09-07T07:33:58.7817909Z +++ nproc --ignore=2 2025-09-07T07:33:58.8316976Z ++ 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 2025-09-07T07:35:20.3738633Z + container_name=ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T07:35:20.3742447Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:35:20.3744514Z + docker exec -i ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:35:20.5142438Z + echo DOCKER_CONTAINER_ID=ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T07:35:20.5143980Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:35:20.5147300Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:20.5149359Z + docker exec -t ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:35:20.9336002Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:35:21.1287886Z 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) 2025-09-07T07:35:21.1293466Z 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) 2025-09-07T07:35:21.1298758Z 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) 2025-09-07T07:35:21.1303978Z 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) 2025-09-07T07:35:21.1308085Z 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) 2025-09-07T07:35:21.1313260Z 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) 2025-09-07T07:35:21.1328424Z 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) 2025-09-07T07:35:21.1785525Z 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) 2025-09-07T07:35:21.1808991Z 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) 2025-09-07T07:35:21.1852343Z 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) 2025-09-07T07:35:22.2478210Z Installing collected packages: torch 2025-09-07T07:35:31.1896860Z 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. 2025-09-07T07:35:31.1897712Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:35:31.1898102Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:35:31.1898532Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T07:35:31.1899064Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:35:31.1899721Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:35:31.1900410Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:35:31.1900867Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:35:31.2617805Z + export TERM=vt100 2025-09-07T07:35:31.2618018Z + TERM=vt100 2025-09-07T07:35:31.2620790Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:31.2627609Z + source .ci/pytorch/common.sh 2025-09-07T07:35:31.2630397Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:35:31.2636450Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:35:31.2637180Z +++ declare -f -t trap_add 2025-09-07T07:35:31.2640921Z ++ set -ex -o pipefail 2025-09-07T07:35:31.2641175Z ++ [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:31.2641451Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:35:31.2644455Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:31.2650099Z + source .ci/pytorch/common-build.sh 2025-09-07T07:35:31.2651507Z ++ [[ linux-jammy-aarch64-py3.10 != *win-* ]] 2025-09-07T07:35:31.2656621Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:35:31.2662867Z +++ cd .ci/pytorch 2025-09-07T07:35:31.2663101Z +++ pwd -P 2025-09-07T07:35:31.2665012Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:35:31.2665371Z ++ [[ linux-jammy-aarch64-py3.10 == *-pch* ]] 2025-09-07T07:35:31.2665648Z ++ which sccache 2025-09-07T07:35:31.2679864Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:35:31.2680160Z ++ sccache --stop-server 2025-09-07T07:35:31.2701561Z ++ true 2025-09-07T07:35:31.2701780Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:35:31.2709915Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:35:31.2710175Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:35:31.2710400Z ++ shift 2025-09-07T07:35:31.2710583Z ++ for trap_add_name in "$@" 2025-09-07T07:35:31.2715378Z ++++ trap -p EXIT 2025-09-07T07:35:31.2717071Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:35:31.2717308Z ++++ extract_trap_cmd 2025-09-07T07:35:31.2717514Z ++++ printf '%s\n' '' 2025-09-07T07:35:31.2717727Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:35:31.2719099Z ++ trap -- ' 2025-09-07T07:35:31.2719295Z sccache_epilogue' EXIT 2025-09-07T07:35:31.2719503Z ++ [[ -n 1 ]] 2025-09-07T07:35:31.2719837Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:35:31.2720354Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:35:31.2720739Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:31.2721000Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:31.2721314Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:31.2721703Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:31.2722055Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:35:31.2722323Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:35:31.2722567Z ++ sccache --zero-stats 2025-09-07T07:35:31.5411234Z Statistics zeroed. 2025-09-07T07:35:31.5416722Z ++ which ccache 2025-09-07T07:35:31.5558011Z + [[ linux-jammy-aarch64-py3.10 != *rocm* ]] 2025-09-07T07:35:31.5558334Z + [[ linux-jammy-aarch64-py3.10 != *s390x* ]] 2025-09-07T07:35:31.5558625Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:35:31.5561075Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:35:31.5571411Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:35:31.5571691Z + trap_add cleanup_workspace EXIT 2025-09-07T07:35:31.5571943Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:35:31.5572165Z + shift 2025-09-07T07:35:31.5572368Z + for trap_add_name in "$@" 2025-09-07T07:35:31.5577773Z +++ trap -p EXIT 2025-09-07T07:35:31.5579751Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:35:31.5580021Z sccache_epilogue'\'' EXIT' 2025-09-07T07:35:31.5580256Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:35:31.5580491Z sccache_epilogue' EXIT 2025-09-07T07:35:31.5580693Z +++ printf '%s\n' ' 2025-09-07T07:35:31.5580881Z sccache_epilogue' 2025-09-07T07:35:31.5581090Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:35:31.5582109Z + trap -- ' 2025-09-07T07:35:31.5582294Z sccache_epilogue 2025-09-07T07:35:31.5582487Z cleanup_workspace' EXIT 2025-09-07T07:35:31.5582750Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:35:32.1047920Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:35:32.1063269Z + echo 'Environment variables:' 2025-09-07T07:35:32.1063516Z Environment variables: 2025-09-07T07:35:32.1063725Z + env 2025-09-07T07:35:32.1070738Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:32.1071363Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:32.1071662Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:32.1072187Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:32.1072428Z HOSTNAME=ef01a6476045 2025-09-07T07:35:32.1072927Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.1073469Z GITHUB_ACTION=__run_2 2025-09-07T07:35:32.1073692Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:32.1073937Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:32.1074170Z TEST_CONFIG=inductor_timm_perf_cpu_aarch64 2025-09-07T07:35:32.1074514Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:32.1074796Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:32.1075062Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:32.1075403Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:32.1075667Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:32.1075933Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:32.1076403Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.1076674Z XLA_CUDA= 2025-09-07T07:35:32.1076856Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:32.1077209Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:32.1077552Z *** 2025-09-07T07:35:32.1077724Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:32.1077951Z GITHUB_ACTIONS=true 2025-09-07T07:35:32.1078197Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:32.1078526Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.1078842Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.1079406Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:32.1079920Z UCC_HOME=/usr 2025-09-07T07:35:32.1080105Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:32.1080322Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:32.1080529Z SHARD_NUMBER=8 2025-09-07T07:35:32.1080722Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:32.1080940Z HOME=/var/lib/jenkins 2025-09-07T07:35:32.1081175Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:32.1081448Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:32.1081684Z UCX_COMMIT= 2025-09-07T07:35:32.1081852Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:32.1082042Z NUM_TEST_SHARDS=15 2025-09-07T07:35:32.1082222Z UCX_HOME=/usr 2025-09-07T07:35:32.1082708Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.1083525Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:32.1084322Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.1085027Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:32.1085451Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:32.1085998Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:32.1086574Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:32.1086793Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:32.1087337Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.1087937Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:32.1088161Z PR_NUMBER= 2025-09-07T07:35:32.1088331Z DESIRED_CUDA= 2025-09-07T07:35:32.1088509Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:32.1088723Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:32.1089013Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:32.1089304Z TERM=vt100 2025-09-07T07:35:32.1089474Z INSTALLED_VISION=yes 2025-09-07T07:35:32.1089671Z BRANCH=main 2025-09-07T07:35:32.1089852Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:32.1090075Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:32.1090307Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:32.1090931Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:32.1091457Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:32.1091708Z UCC_COMMIT= 2025-09-07T07:35:32.1091874Z REENABLED_ISSUES= 2025-09-07T07:35:32.1092052Z DOCS= 2025-09-07T07:35:32.1092205Z SHLVL=1 2025-09-07T07:35:32.1092364Z MAX_JOBS=62 2025-09-07T07:35:32.1092534Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:32.1092823Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.1093142Z GITHUB_REF_NAME=main 2025-09-07T07:35:32.1093462Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:32.1093818Z GITHUB_JOB=test 2025-09-07T07:35:32.1094004Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:32.1094207Z TD_DISTRIBUTED=False 2025-09-07T07:35:32.1094427Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:32.1094673Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:32.1094894Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:32.1095113Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:32.1095904Z 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 2025-09-07T07:35:32.1096596Z GITHUB_BASE_REF= 2025-09-07T07:35:32.1096783Z INSTALLED_ACL=yes 2025-09-07T07:35:32.1097182Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T07:35:32.1097626Z CI=true 2025-09-07T07:35:32.1097799Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:32.1098081Z RUST_LOG=sccache::server=error 2025-09-07T07:35:32.1098305Z JOB_ID=49775354766 2025-09-07T07:35:32.1098490Z GITHUB_HEAD_REF= 2025-09-07T07:35:32.1098671Z GITHUB_ACTION_REF= 2025-09-07T07:35:32.1098912Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:32.1099210Z TEST_SHOWLOCALS=False 2025-09-07T07:35:32.1099458Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:32.1099754Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:32.1100296Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.1100844Z NO_TD=False 2025-09-07T07:35:32.1101033Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:32.1101287Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:32.1101541Z _=/usr/bin/env 2025-09-07T07:35:32.1101819Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:35:32.1982250Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T07:35:32.1982786Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T07:35:32.1983292Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T07:35:32.1983812Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T07:35:32.1984192Z + BUILD_DIR=build 2025-09-07T07:35:32.1984393Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:35:32.1984633Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:35:32.1984842Z + SHARD_NUMBER=8 2025-09-07T07:35:32.1985046Z + NUM_TEST_SHARDS=15 2025-09-07T07:35:32.1985269Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:32.1985526Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:32.1985757Z + export VALGRIND=ON 2025-09-07T07:35:32.1985950Z + VALGRIND=ON 2025-09-07T07:35:32.1986171Z + [[ linux-jammy-aarch64-py3.10 == *clang9* ]] 2025-09-07T07:35:32.1986470Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:32.1986738Z + detect_cuda_arch 2025-09-07T07:35:32.1986958Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:32.1987254Z + [[ linux-jammy-aarch64-py3.10 == *s390x* ]] 2025-09-07T07:35:32.1987511Z + [[ 0 == \1 ]] 2025-09-07T07:35:32.1987687Z + [[ True == \1 ]] 2025-09-07T07:35:32.1987904Z + [[ linux-jammy-aarch64-py3.10 != *bazel* ]] 2025-09-07T07:35:32.1988199Z ++ realpath build/custom_test_artifacts 2025-09-07T07:35:32.1994349Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:35:32.1994771Z + [[ -n '' ]] 2025-09-07T07:35:32.1995204Z + echo 'Environment variables' 2025-09-07T07:35:32.1995446Z Environment variables 2025-09-07T07:35:32.1995637Z + env 2025-09-07T07:35:32.2208639Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:32.2209014Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:32.2209281Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:32.2209729Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:32.2209967Z HOSTNAME=ef01a6476045 2025-09-07T07:35:32.2210466Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.2211000Z GITHUB_ACTION=__run_2 2025-09-07T07:35:32.2211219Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:32.2211504Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:32.2211732Z TEST_CONFIG=inductor_timm_perf_cpu_aarch64 2025-09-07T07:35:32.2212012Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:32.2212289Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:32.2212751Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:32.2213098Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:32.2213354Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:32.2213615Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:32.2213861Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.2214136Z XLA_CUDA= 2025-09-07T07:35:32.2214315Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:32.2214772Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:32.2215038Z *** 2025-09-07T07:35:32.2215209Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:32.2215439Z GITHUB_ACTIONS=true 2025-09-07T07:35:32.2215682Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:32.2216009Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.2216318Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.2216894Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:32.2217414Z UCC_HOME=/usr 2025-09-07T07:35:32.2217616Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:32.2217847Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:32.2218060Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:32.2218269Z SHARD_NUMBER=8 2025-09-07T07:35:32.2218458Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:32.2218675Z HOME=/var/lib/jenkins 2025-09-07T07:35:32.2218901Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:32.2219171Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:32.2219411Z UCX_COMMIT= 2025-09-07T07:35:32.2219581Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:32.2219769Z NUM_TEST_SHARDS=15 2025-09-07T07:35:32.2219950Z UCX_HOME=/usr 2025-09-07T07:35:32.2220433Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.2221244Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:32.2222039Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.2222748Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:32.2223174Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:32.2223717Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:32.2224293Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:32.2224509Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:32.2225051Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.2225642Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:32.2225867Z PR_NUMBER= 2025-09-07T07:35:32.2226033Z DESIRED_CUDA= 2025-09-07T07:35:32.2226211Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:32.2226413Z VALGRIND=ON 2025-09-07T07:35:32.2226598Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:32.2226879Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:32.2227169Z TERM=vt100 2025-09-07T07:35:32.2227591Z INSTALLED_VISION=yes 2025-09-07T07:35:32.2227821Z BRANCH=main 2025-09-07T07:35:32.2228000Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:32.2228223Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:32.2228459Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:32.2228904Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:32.2229399Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:32.2229641Z UCC_COMMIT= 2025-09-07T07:35:32.2229810Z REENABLED_ISSUES= 2025-09-07T07:35:32.2229989Z DOCS= 2025-09-07T07:35:32.2230141Z SHLVL=1 2025-09-07T07:35:32.2230294Z MAX_JOBS=62 2025-09-07T07:35:32.2230468Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:32.2230755Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.2231074Z GITHUB_REF_NAME=main 2025-09-07T07:35:32.2231391Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:32.2231751Z GITHUB_JOB=test 2025-09-07T07:35:32.2232076Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:32.2232281Z TD_DISTRIBUTED=False 2025-09-07T07:35:32.2232496Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:32.2232744Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:32.2232959Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:32.2233178Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:32.2233844Z 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 2025-09-07T07:35:32.2234533Z GITHUB_BASE_REF= 2025-09-07T07:35:32.2234718Z INSTALLED_ACL=yes 2025-09-07T07:35:32.2235119Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T07:35:32.2235564Z CI=true 2025-09-07T07:35:32.2235745Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:32.2236013Z RUST_LOG=sccache::server=error 2025-09-07T07:35:32.2236236Z JOB_ID=49775354766 2025-09-07T07:35:32.2236415Z GITHUB_HEAD_REF= 2025-09-07T07:35:32.2236599Z GITHUB_ACTION_REF= 2025-09-07T07:35:32.2236849Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:32.2237148Z TEST_SHOWLOCALS=False 2025-09-07T07:35:32.2237402Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:32.2237703Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:32.2238246Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_9e4d62f3-58e9-43c9-9e2f-bbb0c911cc33 2025-09-07T07:35:32.2238788Z NO_TD=False 2025-09-07T07:35:32.2238973Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:32.2239232Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:32.2239490Z _=/usr/bin/env 2025-09-07T07:35:32.2239674Z + echo 'Testing pytorch' 2025-09-07T07:35:32.2239886Z Testing pytorch 2025-09-07T07:35:32.2240081Z + export LANG=C.UTF-8 2025-09-07T07:35:32.2240286Z + LANG=C.UTF-8 2025-09-07T07:35:32.2240480Z + PR_NUMBER= 2025-09-07T07:35:32.2240708Z + [[ inductor_timm_perf_cpu_aarch64 == \d\e\f\a\u\l\t ]] 2025-09-07T07:35:32.2241076Z + [[ inductor_timm_perf_cpu_aarch64 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:35:32.2241450Z + [[ inductor_timm_perf_cpu_aarch64 == \s\l\o\w ]] 2025-09-07T07:35:32.2241866Z + [[ linux-jammy-aarch64-py3.10 == *slow-gradcheck* ]] 2025-09-07T07:35:32.2242209Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:32.2242503Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:32.2242795Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:32.2243101Z + [[ inductor_timm_perf_cpu_aarch64 == *crossref* ]] 2025-09-07T07:35:32.2243413Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:32.2243703Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:32.2243999Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:32.2244284Z + pip_install ninja==1.10.2 2025-09-07T07:35:32.2244594Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:35:32.2244996Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:35:33.3209837Z Collecting ninja==1.10.2 2025-09-07T07:35:33.3371679Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (5.0 kB) 2025-09-07T07:35:33.4264594Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (119 kB) 2025-09-07T07:35:34.5292876Z Installing collected packages: ninja 2025-09-07T07:35:34.5294364Z Attempting uninstall: ninja 2025-09-07T07:35:34.5306523Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:35:34.5329001Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:35:34.5391332Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:35:34.5922487Z Successfully installed ninja-1.10.2 2025-09-07T07:35:34.6643863Z + 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 2025-09-07T07:35:34.6645276Z + 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 2025-09-07T07:35:34.6646515Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:34.6646807Z + export VALGRIND=OFF 2025-09-07T07:35:34.6647007Z + VALGRIND=OFF 2025-09-07T07:35:34.6647220Z + [[ linux-jammy-aarch64-py3.10 == *asan* ]] 2025-09-07T07:35:34.6647521Z + [[ linux-jammy-aarch64-py3.10 == *-debug* ]] 2025-09-07T07:35:34.6647829Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:34.6648270Z + echo 'We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass' 2025-09-07T07:35:34.6648834Z We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass 2025-09-07T07:35:34.6649221Z + cd test 2025-09-07T07:35:34.6649511Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:35:34.9909145Z /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. 2025-09-07T07:35:34.9910334Z import pynvml # type: ignore[import] 2025-09-07T07:35:36.0643469Z + [[ inductor_timm_perf_cpu_aarch64 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:35:36.0643913Z + [[ inductor_timm_perf_cpu_aarch64 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:35:36.0644361Z + [[ inductor_timm_perf_cpu_aarch64 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:35:36.0646892Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:35:36.0647314Z + [[ inductor_timm_perf_cpu_aarch64 == *pr_time_benchmarks* ]] 2025-09-07T07:35:36.0647688Z + [[ inductor_timm_perf_cpu_aarch64 == *dynamo_eager* ]] 2025-09-07T07:35:36.0648044Z + [[ inductor_timm_perf_cpu_aarch64 == *aot_eager* ]] 2025-09-07T07:35:36.0648384Z + [[ inductor_timm_perf_cpu_aarch64 == *aot_inductor* ]] 2025-09-07T07:35:36.0648756Z + [[ inductor_timm_perf_cpu_aarch64 == *max_autotune_inductor* ]] 2025-09-07T07:35:36.0649168Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor* ]] 2025-09-07T07:35:36.0649486Z + [[ inductor_timm_perf_cpu_aarch64 != *perf* ]] 2025-09-07T07:35:36.0649801Z + [[ inductor_timm_perf_cpu_aarch64 == *dynamic* ]] 2025-09-07T07:35:36.0650115Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:36.0650421Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:35:36.0672325Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:36.0672644Z + [[ linux-jammy-aarch64-py3.10 == *-bazel-* ]] 2025-09-07T07:35:36.0675023Z + cd test 2025-09-07T07:35:36.0675528Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:35:36.3905574Z /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. 2025-09-07T07:35:36.3906840Z import pynvml # type: ignore[import] 2025-09-07T07:35:37.2517294Z PyTorch built with: 2025-09-07T07:35:37.2517579Z - GCC 11.4 2025-09-07T07:35:37.2517766Z - C++ Version: 201703 2025-09-07T07:35:37.2518107Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:37.2518493Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:37.2518783Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:35:37.2519062Z - NNPACK is enabled 2025-09-07T07:35:37.2519283Z - CPU capability usage: SVE256 2025-09-07T07:35:37.2523448Z - 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, 2025-09-07T07:35:37.2527896Z 2025-09-07T07:35:37.4661036Z + cd test 2025-09-07T07:35:37.4661352Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:35:37.7855629Z /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. 2025-09-07T07:35:37.7856810Z import pynvml # type: ignore[import] 2025-09-07T07:35:38.6324117Z ATen/Parallel: 2025-09-07T07:35:38.6324361Z at::get_num_threads() : 64 2025-09-07T07:35:38.6324599Z at::get_num_interop_threads() : 64 2025-09-07T07:35:38.6324858Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:38.6325105Z omp_get_max_threads() : 64 2025-09-07T07:35:38.6325436Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:38.6325813Z std::thread::hardware_concurrency() : 64 2025-09-07T07:35:38.6326083Z Environment variables: 2025-09-07T07:35:38.6326304Z OMP_NUM_THREADS : [not set] 2025-09-07T07:35:38.6326555Z ATen parallel backend: OpenMP 2025-09-07T07:35:38.6326716Z 2025-09-07T07:35:38.8402572Z + [[ inductor_timm_perf_cpu_aarch64 == *numpy_2* ]] 2025-09-07T07:35:38.8402921Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:38.8403307Z + [[ inductor_timm_perf_cpu_aarch64 != *perf_cpu_aarch64* ]] 2025-09-07T07:35:38.8403669Z + [[ inductor_timm_perf_cpu_aarch64 == *backward* ]] 2025-09-07T07:35:38.8403980Z + [[ inductor_timm_perf_cpu_aarch64 == *xla* ]] 2025-09-07T07:35:38.8404283Z + [[ inductor_timm_perf_cpu_aarch64 == *vllm* ]] 2025-09-07T07:35:38.8404611Z + [[ inductor_timm_perf_cpu_aarch64 == *executorch* ]] 2025-09-07T07:35:38.8404976Z + [[ inductor_timm_perf_cpu_aarch64 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:35:38.8405408Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:38.8405742Z + [[ inductor_timm_perf_cpu_aarch64 == distributed ]] 2025-09-07T07:35:38.8406111Z + [[ inductor_timm_perf_cpu_aarch64 == *operator_benchmark* ]] 2025-09-07T07:35:38.8406515Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor_distributed* ]] 2025-09-07T07:35:38.8406905Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor-halide* ]] 2025-09-07T07:35:38.8407289Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor-triton-cpu* ]] 2025-09-07T07:35:38.8408044Z + [[ inductor_timm_perf_cpu_aarch64 == *inductor-micro-benchmark* ]] 2025-09-07T07:35:38.8408470Z + [[ inductor_timm_perf_cpu_aarch64 == *huggingface* ]] 2025-09-07T07:35:38.8408799Z + [[ inductor_timm_perf_cpu_aarch64 == *timm* ]] 2025-09-07T07:35:38.8409072Z + install_torchvision 2025-09-07T07:35:38.8409272Z + local orig_preload 2025-09-07T07:35:38.8409466Z + local commit 2025-09-07T07:35:38.8409664Z ++ get_pinned_commit vision 2025-09-07T07:35:38.8409907Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:35:38.8433361Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:38.8433647Z + orig_preload= 2025-09-07T07:35:38.8433838Z + '[' -n '' ']' 2025-09-07T07:35:38.8434049Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:38.8434622Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:35:38.8435401Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:38.8436152Z + local wheel_dir=dist/vision 2025-09-07T07:35:38.8436384Z + local found_whl=0 2025-09-07T07:35:38.8436585Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:38.8436988Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl ]] 2025-09-07T07:35:38.8437387Z + found_whl=1 2025-09-07T07:35:38.8437561Z + break 2025-09-07T07:35:38.8437714Z + '[' 1 == 0 ']' 2025-09-07T07:35:38.8437915Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:38.8438341Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:38.8438931Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl') 2025-09-07T07:35:38.8439336Z + local args 2025-09-07T07:35:38.8439682Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl == *\ * ]] 2025-09-07T07:35:38.8449713Z + for path in "${args[@]}" 2025-09-07T07:35:38.8450154Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl' 2025-09-07T07:35:38.8450774Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:38.8451475Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:39.2098030Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:39.2195539Z Installing collected packages: torchvision 2025-09-07T07:35:39.7390115Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:35:39.7738683Z + '[' -n '' ']' 2025-09-07T07:35:39.7738872Z + id=7 2025-09-07T07:35:39.7739065Z + test_dynamo_benchmark timm_models 7 2025-09-07T07:35:39.7742514Z ++ pwd 2025-09-07T07:35:39.7744080Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:39.7744423Z + local suite=timm_models 2025-09-07T07:35:39.7744638Z + shift 2025-09-07T07:35:39.7744797Z + local shard_id=7 2025-09-07T07:35:39.7744999Z + shift 2025-09-07T07:35:39.7745232Z + [[ inductor_timm_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:39.7745573Z + [[ inductor_timm_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:39.7745883Z + [[ inductor_timm_perf_cpu_aarch64 == *b200* ]] 2025-09-07T07:35:39.7746215Z + test_single_dynamo_benchmark dashboard timm_models 7 2025-09-07T07:35:39.7747692Z ++ pwd 2025-09-07T07:35:39.7749281Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:39.7749697Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:39.7764010Z + local name=dashboard 2025-09-07T07:35:39.7764209Z + shift 2025-09-07T07:35:39.7764381Z + local suite=timm_models 2025-09-07T07:35:39.7764587Z + shift 2025-09-07T07:35:39.7764755Z + local shard_id=7 2025-09-07T07:35:39.7764932Z + shift 2025-09-07T07:35:39.7765098Z + partition_flags=() 2025-09-07T07:35:39.7765305Z + local partition_flags 2025-09-07T07:35:39.7765505Z + [[ -n 15 ]] 2025-09-07T07:35:39.7765675Z + [[ -n 7 ]] 2025-09-07T07:35:39.7766343Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:35:39.7766836Z + [[ inductor_timm_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:39.7767168Z + [[ inductor_timm_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:39.7767626Z + test_perf_for_dashboard timm_models --device cpu --total-partitions 15 --partition-id 7 2025-09-07T07:35:39.7768067Z ++ pwd 2025-09-07T07:35:39.7769914Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:39.7770320Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:39.7781634Z + local suite=timm_models 2025-09-07T07:35:39.7781850Z + shift 2025-09-07T07:35:39.7782017Z + local backend=inductor 2025-09-07T07:35:39.7782233Z + modes=() 2025-09-07T07:35:39.7782397Z + local modes 2025-09-07T07:35:39.7782952Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *training-true* ]] 2025-09-07T07:35:39.7783955Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *inference-true* ]] 2025-09-07T07:35:39.7784830Z + modes+=(inference) 2025-09-07T07:35:39.7785051Z + targets=('accuracy' 'performance') 2025-09-07T07:35:39.7785300Z + local targets 2025-09-07T07:35:39.7785482Z + local device=cuda 2025-09-07T07:35:39.7785708Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:39.7786033Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu_x86_zen* ]] 2025-09-07T07:35:39.7786363Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu_x86* ]] 2025-09-07T07:35:39.7786700Z + [[ inductor_timm_perf_cpu_aarch64 == *cpu_aarch64* ]] 2025-09-07T07:35:39.7786984Z + device=cpu_aarch64 2025-09-07T07:35:39.7787198Z + test_inductor_set_cpu_affinity 2025-09-07T07:35:39.7787455Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:35:39.7962025Z + JEMALLOC_LIB=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2 2025-09-07T07:35:39.7962434Z + export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:39.7962854Z + LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:39.7963445Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:39.7964219Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:39.7964755Z + [[ inductor_timm_perf_cpu_aarch64 != *aarch64* ]] 2025-09-07T07:35:39.7965381Z ++ nproc 2025-09-07T07:35:39.7987914Z + cpus=64 2025-09-07T07:35:39.7992943Z ++ lscpu 2025-09-07T07:35:39.7993941Z ++ grep 'Thread(s) per core:' 2025-09-07T07:35:39.7994915Z ++ awk '{print $4}' 2025-09-07T07:35:39.8221949Z + thread_per_core=1 2025-09-07T07:35:39.8222159Z + cores=64 2025-09-07T07:35:39.8222368Z + [[ inductor_timm_perf_cpu_aarch64 == *aarch64* ]] 2025-09-07T07:35:39.8222648Z + [[ 64 -gt 16 ]] 2025-09-07T07:35:39.8222821Z + cores=16 2025-09-07T07:35:39.8223002Z + export OMP_NUM_THREADS=16 2025-09-07T07:35:39.8223225Z + OMP_NUM_THREADS=16 2025-09-07T07:35:39.8225960Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:35:39.8527411Z + start_cpu=0 2025-09-07T07:35:39.8530163Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:35:39.8826151Z + end_cpu=62 2025-09-07T07:35:39.8826364Z + export 'TASKSET=taskset -c 0-62' 2025-09-07T07:35:39.8826613Z + TASKSET='taskset -c 0-62' 2025-09-07T07:35:39.8826849Z + for mode in "${modes[@]}" 2025-09-07T07:35:39.8827079Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:35:39.8827345Z + [[ cpu_aarch64 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:35:39.8827586Z + dtype=bfloat16 2025-09-07T07:35:39.8827780Z + for target in "${targets[@]}" 2025-09-07T07:35:39.8828023Z + target_flag=('--accuracy') 2025-09-07T07:35:39.8828242Z + local target_flag 2025-09-07T07:35:39.8828454Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:35:39.8828713Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:35:39.8828995Z + target_flag+=(--no-translation-validation) 2025-09-07T07:35:39.8829926Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:35:39.8830930Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:35:39.8832671Z + 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 7 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:35:40.7467288Z /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. 2025-09-07T07:35:40.7468665Z import pynvml # type: ignore[import] 2025-09-07T07:35:44.9071591Z /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. 2025-09-07T07:35:44.9072770Z import pynvml # type: ignore[import] 2025-09-07T07:35:48.1985303Z 2025-09-07T07:35:48.4110780Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:35:48.4111004Z 2025-09-07T07:35:48.4902659Z model.safetensors: 0% 0.00/37.1M [00:00 2025-09-07T07:39:45.4750646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4750884Z 2025-09-07T07:39:45.4750983Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4751304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4751822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4752285Z return mod(*inputs) 2025-09-07T07:39:45.4752745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4753255Z x = self.forward_features(x) 2025-09-07T07:39:45.4753782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4754452Z x = self.blocks(x) 2025-09-07T07:39:45.4754937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4755462Z x = self.conv_pw(x) 2025-09-07T07:39:45.4755917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4756477Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4757048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4757611Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4757847Z 2025-09-07T07:39:45.4757945Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4758231Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4758549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4759068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4759532Z return mod(*inputs) 2025-09-07T07:39:45.4759993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4760505Z x = self.forward_features(x) 2025-09-07T07:39:45.4761030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4761560Z x = self.blocks(x) 2025-09-07T07:39:45.4762048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4762576Z x = self.conv_pw(x) 2025-09-07T07:39:45.4763029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.4763517Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.4763668Z 2025-09-07T07:39:45.4763809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4764332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4764799Z return mod(*inputs) 2025-09-07T07:39:45.4765254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4765760Z x = self.forward_features(x) 2025-09-07T07:39:45.4766291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4766828Z x = self.blocks(x) 2025-09-07T07:39:45.4767314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.4767832Z x = self.bn1(x) 2025-09-07T07:39:45.4768256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.4768727Z x = self.act(x) 2025-09-07T07:39:45.4768850Z 2025-09-07T07:39:45.4769110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4769650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4770110Z return mod(*inputs) 2025-09-07T07:39:45.4770569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4771077Z x = self.forward_features(x) 2025-09-07T07:39:45.4771600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4772135Z x = self.blocks(x) 2025-09-07T07:39:45.4772619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4773146Z x = self.conv_dw(x) 2025-09-07T07:39:45.4773595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4774251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4774821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4775389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4775626Z 2025-09-07T07:39:45.4775763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4776281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4776745Z return mod(*inputs) 2025-09-07T07:39:45.4777203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4777717Z x = self.forward_features(x) 2025-09-07T07:39:45.4778243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4778772Z x = self.blocks(x) 2025-09-07T07:39:45.4779261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4779790Z x = self.conv_dw(x) 2025-09-07T07:39:45.4780236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4780789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4781355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4781916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4782157Z 2025-09-07T07:39:45.4782293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4782809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4783273Z return mod(*inputs) 2025-09-07T07:39:45.4783738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4784246Z x = self.forward_features(x) 2025-09-07T07:39:45.4784772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4785302Z x = self.blocks(x) 2025-09-07T07:39:45.4785782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4786304Z x = self.conv_dw(x) 2025-09-07T07:39:45.4786757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4787307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4787872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4788439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4788677Z 2025-09-07T07:39:45.4788892Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4789198Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4789474Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4789793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4790309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4790770Z return mod(*inputs) 2025-09-07T07:39:45.4791232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4791743Z x = self.forward_features(x) 2025-09-07T07:39:45.4792271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4792801Z x = self.blocks(x) 2025-09-07T07:39:45.4793282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4793915Z x = self.conv_dw(x) 2025-09-07T07:39:45.4794368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.4794859Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.4795008Z 2025-09-07T07:39:45.4795146Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4795663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4796122Z return mod(*inputs) 2025-09-07T07:39:45.4796585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4797090Z x = self.forward_features(x) 2025-09-07T07:39:45.4797615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4798148Z x = self.blocks(x) 2025-09-07T07:39:45.4798639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.4799160Z x = self.bn2(x) 2025-09-07T07:39:45.4799584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.4800057Z x = self.act(x) 2025-09-07T07:39:45.4800174Z 2025-09-07T07:39:45.4800312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4800830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4801283Z return mod(*inputs) 2025-09-07T07:39:45.4801745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4802256Z x = self.forward_features(x) 2025-09-07T07:39:45.4802781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4803309Z x = self.blocks(x) 2025-09-07T07:39:45.4803808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4804334Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4804791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4805438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4806008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4806571Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4806807Z 2025-09-07T07:39:45.4806942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4807462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4807923Z return mod(*inputs) 2025-09-07T07:39:45.4808580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4809114Z x = self.forward_features(x) 2025-09-07T07:39:45.4809642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4810196Z x = self.blocks(x) 2025-09-07T07:39:45.4810675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4811203Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4811659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4812210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4812772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4813332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4813710Z 2025-09-07T07:39:45.4813814Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4814097Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4814411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4814923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4815387Z return mod(*inputs) 2025-09-07T07:39:45.4815852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4816360Z x = self.forward_features(x) 2025-09-07T07:39:45.4816882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4817411Z x = self.blocks(x) 2025-09-07T07:39:45.4817899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4818424Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4830080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.4830604Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.4830753Z 2025-09-07T07:39:45.4830901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4831433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4831894Z return mod(*inputs) 2025-09-07T07:39:45.4832364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4832880Z x = self.forward_features(x) 2025-09-07T07:39:45.4833410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4833940Z x = self.blocks(x) 2025-09-07T07:39:45.4834428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:45.4834964Z x = self.bn3(x) 2025-09-07T07:39:45.4835391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.4835866Z x = F.batch_norm( 2025-09-07T07:39:45.4835992Z 2025-09-07T07:39:45.4836128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4836645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4837105Z return mod(*inputs) 2025-09-07T07:39:45.4837561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4838067Z x = self.forward_features(x) 2025-09-07T07:39:45.4838590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4839125Z x = self.blocks(x) 2025-09-07T07:39:45.4839770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4840320Z x = self.conv_pw(x) 2025-09-07T07:39:45.4840774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4841334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4841902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4842475Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4842712Z 2025-09-07T07:39:45.4842852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4843370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4843831Z return mod(*inputs) 2025-09-07T07:39:45.4844293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4844935Z x = self.forward_features(x) 2025-09-07T07:39:45.4845458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4845995Z x = self.blocks(x) 2025-09-07T07:39:45.4846480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4847007Z x = self.conv_pw(x) 2025-09-07T07:39:45.4847461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4848015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4848582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4849152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4849386Z 2025-09-07T07:39:45.4849493Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4849779Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4850091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4850609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4851069Z return mod(*inputs) 2025-09-07T07:39:45.4851528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4852032Z x = self.forward_features(x) 2025-09-07T07:39:45.4852562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4853095Z x = self.blocks(x) 2025-09-07T07:39:45.4853580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4854104Z x = self.conv_pw(x) 2025-09-07T07:39:45.4854553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.4855057Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.4855200Z 2025-09-07T07:39:45.4855339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4855854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4856311Z return mod(*inputs) 2025-09-07T07:39:45.4856769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4857282Z x = self.forward_features(x) 2025-09-07T07:39:45.4857807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4858340Z x = self.blocks(x) 2025-09-07T07:39:45.4858823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.4859346Z x = self.bn1(x) 2025-09-07T07:39:45.4859886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.4860379Z x = self.act(x) 2025-09-07T07:39:45.4860496Z 2025-09-07T07:39:45.4860631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4861150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4861607Z return mod(*inputs) 2025-09-07T07:39:45.4862066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4862575Z x = self.forward_features(x) 2025-09-07T07:39:45.4863095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4863632Z x = self.blocks(x) 2025-09-07T07:39:45.4864115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4864736Z x = self.conv_dw(x) 2025-09-07T07:39:45.4864870Z 2025-09-07T07:39:45.4865004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4865520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4865980Z return mod(*inputs) 2025-09-07T07:39:45.4866441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4866948Z x = self.forward_features(x) 2025-09-07T07:39:45.4867473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4868006Z x = self.blocks(x) 2025-09-07T07:39:45.4868490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.4869011Z x = self.bn2(x) 2025-09-07T07:39:45.4869430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.4869904Z x = self.act(x) 2025-09-07T07:39:45.4870025Z 2025-09-07T07:39:45.4870160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4870674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4871134Z return mod(*inputs) 2025-09-07T07:39:45.4871589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4872099Z x = self.forward_features(x) 2025-09-07T07:39:45.4872624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4873155Z x = self.blocks(x) 2025-09-07T07:39:45.4873638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4874164Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4874625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4875181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4875749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4876311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4876548Z 2025-09-07T07:39:45.4876683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4877205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4877666Z return mod(*inputs) 2025-09-07T07:39:45.4878122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4878633Z x = self.forward_features(x) 2025-09-07T07:39:45.4879265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4879812Z x = self.blocks(x) 2025-09-07T07:39:45.4880294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4880822Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4881275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4881829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4882397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4882962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4883195Z 2025-09-07T07:39:45.4883292Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4883577Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4883989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4884509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4884967Z return mod(*inputs) 2025-09-07T07:39:45.4885428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4885937Z x = self.forward_features(x) 2025-09-07T07:39:45.4886462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4886994Z x = self.blocks(x) 2025-09-07T07:39:45.4887474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4888005Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4888462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.4888961Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.4889115Z 2025-09-07T07:39:45.4889250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4889767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4890228Z return mod(*inputs) 2025-09-07T07:39:45.4890689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4891196Z x = self.forward_features(x) 2025-09-07T07:39:45.4891715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4892250Z x = self.blocks(x) 2025-09-07T07:39:45.4892731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.4893267Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.4893439Z 2025-09-07T07:39:45.4893577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4894101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4894557Z return mod(*inputs) 2025-09-07T07:39:45.4895014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4895523Z x = self.forward_features(x) 2025-09-07T07:39:45.4896049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4896578Z x = self.blocks(x) 2025-09-07T07:39:45.4897057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4897597Z x = self.conv_pw(x) 2025-09-07T07:39:45.4897727Z 2025-09-07T07:39:45.4897862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4898379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4898954Z return mod(*inputs) 2025-09-07T07:39:45.4899419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4899928Z x = self.forward_features(x) 2025-09-07T07:39:45.4900458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4900989Z x = self.blocks(x) 2025-09-07T07:39:45.4901466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.4901983Z x = self.bn1(x) 2025-09-07T07:39:45.4902405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.4902878Z x = F.batch_norm( 2025-09-07T07:39:45.4903003Z 2025-09-07T07:39:45.4903134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4903654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4904206Z return mod(*inputs) 2025-09-07T07:39:45.4904663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4905261Z x = self.forward_features(x) 2025-09-07T07:39:45.4905784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4906315Z x = self.blocks(x) 2025-09-07T07:39:45.4906799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.4907315Z x = self.bn1(x) 2025-09-07T07:39:45.4907731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.4908199Z x = self.act(x) 2025-09-07T07:39:45.4908319Z 2025-09-07T07:39:45.4909171Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4909497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4910016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4910470Z return mod(*inputs) 2025-09-07T07:39:45.4910927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4911434Z x = self.forward_features(x) 2025-09-07T07:39:45.4911956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4912483Z x = self.blocks(x) 2025-09-07T07:39:45.4912965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4913485Z x = self.conv_dw(x) 2025-09-07T07:39:45.4913935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4914496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4915059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4915622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4915858Z 2025-09-07T07:39:45.4915957Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4916278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4916792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4917255Z return mod(*inputs) 2025-09-07T07:39:45.4917717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4918226Z x = self.forward_features(x) 2025-09-07T07:39:45.4918751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4919507Z x = self.blocks(x) 2025-09-07T07:39:45.4920001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4920528Z x = self.conv_dw(x) 2025-09-07T07:39:45.4920975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4921523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4922087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4922653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4922884Z 2025-09-07T07:39:45.4922988Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4923308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4923817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4924430Z return mod(*inputs) 2025-09-07T07:39:45.4924893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4925401Z x = self.forward_features(x) 2025-09-07T07:39:45.4925924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4926454Z x = self.blocks(x) 2025-09-07T07:39:45.4926935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4927457Z x = self.conv_dw(x) 2025-09-07T07:39:45.4927905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4928450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4929013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4929586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4929820Z 2025-09-07T07:39:45.4929920Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4930233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4930745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4931205Z return mod(*inputs) 2025-09-07T07:39:45.4931664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4932169Z x = self.forward_features(x) 2025-09-07T07:39:45.4932689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4933218Z x = self.blocks(x) 2025-09-07T07:39:45.4933698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4934230Z x = self.conv_dw(x) 2025-09-07T07:39:45.4934678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4935226Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4935793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4936354Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4936588Z 2025-09-07T07:39:45.4936687Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4936963Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4937241Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4937520Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.4937839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4938355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4938933Z return mod(*inputs) 2025-09-07T07:39:45.4939411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4939919Z x = self.forward_features(x) 2025-09-07T07:39:45.4940444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4940971Z x = self.blocks(x) 2025-09-07T07:39:45.4941455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.4941976Z x = self.conv_dw(x) 2025-09-07T07:39:45.4942423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.4942913Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.4943058Z 2025-09-07T07:39:45.4943192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4943707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4944266Z return mod(*inputs) 2025-09-07T07:39:45.4944727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4945229Z x = self.forward_features(x) 2025-09-07T07:39:45.4945755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4946289Z x = self.blocks(x) 2025-09-07T07:39:45.4946768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.4947289Z x = self.bn2(x) 2025-09-07T07:39:45.4947703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.4948178Z x = F.batch_norm( 2025-09-07T07:39:45.4948303Z 2025-09-07T07:39:45.4948439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4948966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4949423Z return mod(*inputs) 2025-09-07T07:39:45.4949877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4950384Z x = self.forward_features(x) 2025-09-07T07:39:45.4950907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4951439Z x = self.blocks(x) 2025-09-07T07:39:45.4951917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.4952437Z x = self.bn2(x) 2025-09-07T07:39:45.4952858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.4953328Z x = self.act(x) 2025-09-07T07:39:45.4953445Z 2025-09-07T07:39:45.4953590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4954110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4954567Z return mod(*inputs) 2025-09-07T07:39:45.4955022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4955531Z x = self.forward_features(x) 2025-09-07T07:39:45.4956049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4956578Z x = self.blocks(x) 2025-09-07T07:39:45.4957060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.4957575Z x = self.se(x) 2025-09-07T07:39:45.4958039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.4958693Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.4958875Z 2025-09-07T07:39:45.4959010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4959525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4959984Z return mod(*inputs) 2025-09-07T07:39:45.4960440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4960949Z x = self.forward_features(x) 2025-09-07T07:39:45.4961473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4962002Z x = self.blocks(x) 2025-09-07T07:39:45.4962482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.4963001Z x = self.se(x) 2025-09-07T07:39:45.4963469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.4964087Z x_se = self.act1(x_se) 2025-09-07T07:39:45.4964230Z 2025-09-07T07:39:45.4964368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4964881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4965343Z return mod(*inputs) 2025-09-07T07:39:45.4965808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4966314Z x = self.forward_features(x) 2025-09-07T07:39:45.4966832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4967361Z x = self.blocks(x) 2025-09-07T07:39:45.4967840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.4968360Z x = self.se(x) 2025-09-07T07:39:45.4968837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.4969365Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.4969532Z 2025-09-07T07:39:45.4969668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4970181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4970638Z return mod(*inputs) 2025-09-07T07:39:45.4971093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4971598Z x = self.forward_features(x) 2025-09-07T07:39:45.4972120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4972649Z x = self.blocks(x) 2025-09-07T07:39:45.4973132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.4973653Z x = self.se(x) 2025-09-07T07:39:45.4974118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.4974644Z return x * self.gate(x_se) 2025-09-07T07:39:45.4974797Z 2025-09-07T07:39:45.4974936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4975450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4975907Z return mod(*inputs) 2025-09-07T07:39:45.4976365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4976870Z x = self.forward_features(x) 2025-09-07T07:39:45.4977393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4977923Z x = self.blocks(x) 2025-09-07T07:39:45.4978520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.4979047Z x = self.se(x) 2025-09-07T07:39:45.4979515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.4980037Z return x * self.gate(x_se) 2025-09-07T07:39:45.4980194Z 2025-09-07T07:39:45.4980330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4980846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4981303Z return mod(*inputs) 2025-09-07T07:39:45.4981760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4982263Z x = self.forward_features(x) 2025-09-07T07:39:45.4982787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4983411Z x = self.blocks(x) 2025-09-07T07:39:45.4983907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.4984431Z x = self.conv_pwl(x) 2025-09-07T07:39:45.4984571Z 2025-09-07T07:39:45.4984713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4985235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4985699Z return mod(*inputs) 2025-09-07T07:39:45.4986157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4986665Z x = self.forward_features(x) 2025-09-07T07:39:45.4987191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4987721Z x = self.blocks(x) 2025-09-07T07:39:45.4988208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:45.4988729Z x = self.bn3(x) 2025-09-07T07:39:45.4989152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.4989623Z x = F.batch_norm( 2025-09-07T07:39:45.4989748Z 2025-09-07T07:39:45.4989885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4990399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4990853Z return mod(*inputs) 2025-09-07T07:39:45.4991312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4991823Z x = self.forward_features(x) 2025-09-07T07:39:45.4992346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4992877Z x = self.blocks(x) 2025-09-07T07:39:45.4993366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.4993895Z x = self.conv_pw(x) 2025-09-07T07:39:45.4994347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.4994901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4995466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.4996031Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.4996268Z 2025-09-07T07:39:45.4996404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.4996920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.4997382Z return mod(*inputs) 2025-09-07T07:39:45.4997979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.4998501Z x = self.forward_features(x) 2025-09-07T07:39:45.4999025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.4999560Z x = self.blocks(x) 2025-09-07T07:39:45.5000036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5000557Z x = self.conv_pw(x) 2025-09-07T07:39:45.5001003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5001554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5002121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5002679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5002916Z 2025-09-07T07:39:45.5003107Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5003387Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5003708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5004218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5004677Z return mod(*inputs) 2025-09-07T07:39:45.5005240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5005758Z x = self.forward_features(x) 2025-09-07T07:39:45.5006297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5006823Z x = self.blocks(x) 2025-09-07T07:39:45.5007305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5007825Z x = self.conv_pw(x) 2025-09-07T07:39:45.5008283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5008771Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5008919Z 2025-09-07T07:39:45.5009054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5009571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5010026Z return mod(*inputs) 2025-09-07T07:39:45.5010486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5010990Z x = self.forward_features(x) 2025-09-07T07:39:45.5011515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5012049Z x = self.blocks(x) 2025-09-07T07:39:45.5012532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5013052Z x = self.bn1(x) 2025-09-07T07:39:45.5013478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5013950Z x = F.batch_norm( 2025-09-07T07:39:45.5014077Z 2025-09-07T07:39:45.5014216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5014732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5015189Z return mod(*inputs) 2025-09-07T07:39:45.5015651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5016159Z x = self.forward_features(x) 2025-09-07T07:39:45.5016677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5017204Z x = self.blocks(x) 2025-09-07T07:39:45.5017865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5018402Z x = self.bn1(x) 2025-09-07T07:39:45.5018826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5019294Z x = self.act(x) 2025-09-07T07:39:45.5019411Z 2025-09-07T07:39:45.5019508Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5019828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5020345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5020803Z return mod(*inputs) 2025-09-07T07:39:45.5021259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5021766Z x = self.forward_features(x) 2025-09-07T07:39:45.5022288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5022967Z x = self.blocks(x) 2025-09-07T07:39:45.5023449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5023973Z x = self.conv_dw(x) 2025-09-07T07:39:45.5024418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5024967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5025532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5026093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5026331Z 2025-09-07T07:39:45.5026428Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5026746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5027261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5027724Z return mod(*inputs) 2025-09-07T07:39:45.5028183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5028692Z x = self.forward_features(x) 2025-09-07T07:39:45.5029216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5029745Z x = self.blocks(x) 2025-09-07T07:39:45.5030221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5030744Z x = self.conv_dw(x) 2025-09-07T07:39:45.5031192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5031745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5032307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5032878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5033118Z 2025-09-07T07:39:45.5033215Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5033498Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5033818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5034331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5034795Z return mod(*inputs) 2025-09-07T07:39:45.5035252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5035762Z x = self.forward_features(x) 2025-09-07T07:39:45.5036285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5036814Z x = self.blocks(x) 2025-09-07T07:39:45.5037414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5037957Z x = self.conv_dw(x) 2025-09-07T07:39:45.5038402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5038893Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5039039Z 2025-09-07T07:39:45.5039173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5039688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5040145Z return mod(*inputs) 2025-09-07T07:39:45.5040600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5041103Z x = self.forward_features(x) 2025-09-07T07:39:45.5041626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5042158Z x = self.blocks(x) 2025-09-07T07:39:45.5042738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5043253Z x = self.bn2(x) 2025-09-07T07:39:45.5043677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5044149Z x = F.batch_norm( 2025-09-07T07:39:45.5044277Z 2025-09-07T07:39:45.5044414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5044929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5045383Z return mod(*inputs) 2025-09-07T07:39:45.5045839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5046345Z x = self.forward_features(x) 2025-09-07T07:39:45.5046866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5047397Z x = self.blocks(x) 2025-09-07T07:39:45.5047882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5048400Z x = self.bn2(x) 2025-09-07T07:39:45.5048824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5049295Z x = self.act(x) 2025-09-07T07:39:45.5049410Z 2025-09-07T07:39:45.5049544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5050060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5050518Z return mod(*inputs) 2025-09-07T07:39:45.5050973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5051476Z x = self.forward_features(x) 2025-09-07T07:39:45.5052003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5052543Z x = self.blocks(x) 2025-09-07T07:39:45.5053026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5053545Z x = self.se(x) 2025-09-07T07:39:45.5054010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5054539Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5054711Z 2025-09-07T07:39:45.5054844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5055357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5055812Z return mod(*inputs) 2025-09-07T07:39:45.5056271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5056783Z x = self.forward_features(x) 2025-09-07T07:39:45.5057473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5058031Z x = self.blocks(x) 2025-09-07T07:39:45.5058507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5059022Z x = self.se(x) 2025-09-07T07:39:45.5059486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5060009Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5060149Z 2025-09-07T07:39:45.5060284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5060797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5061254Z return mod(*inputs) 2025-09-07T07:39:45.5061710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5062338Z x = self.forward_features(x) 2025-09-07T07:39:45.5062865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5063396Z x = self.blocks(x) 2025-09-07T07:39:45.5063874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5064390Z x = self.se(x) 2025-09-07T07:39:45.5064849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5065376Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5065543Z 2025-09-07T07:39:45.5065638Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5065954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5066467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5066923Z return mod(*inputs) 2025-09-07T07:39:45.5067389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5067895Z x = self.forward_features(x) 2025-09-07T07:39:45.5068416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5068942Z x = self.blocks(x) 2025-09-07T07:39:45.5069420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5069948Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5070405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5070957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5071520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5072087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5072333Z 2025-09-07T07:39:45.5072430Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5072748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5073268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5073731Z return mod(*inputs) 2025-09-07T07:39:45.5074190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5074702Z x = self.forward_features(x) 2025-09-07T07:39:45.5075223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5075749Z x = self.blocks(x) 2025-09-07T07:39:45.5076233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5076760Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5077339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5077900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5078465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5079033Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5079265Z 2025-09-07T07:39:45.5079366Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5079648Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5079961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5080476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5080934Z return mod(*inputs) 2025-09-07T07:39:45.5081396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5082009Z x = self.forward_features(x) 2025-09-07T07:39:45.5082540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5083073Z x = self.blocks(x) 2025-09-07T07:39:45.5083554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5084079Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5084532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5085027Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5085173Z 2025-09-07T07:39:45.5085310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5085830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5086287Z return mod(*inputs) 2025-09-07T07:39:45.5086748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5087259Z x = self.forward_features(x) 2025-09-07T07:39:45.5087782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5088313Z x = self.blocks(x) 2025-09-07T07:39:45.5088786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5089321Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5089495Z 2025-09-07T07:39:45.5089629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5090143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5090599Z return mod(*inputs) 2025-09-07T07:39:45.5091053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5091562Z x = self.forward_features(x) 2025-09-07T07:39:45.5092099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5092634Z x = self.blocks(x) 2025-09-07T07:39:45.5093111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5093633Z x = self.conv_pw(x) 2025-09-07T07:39:45.5094084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5094638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5095203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5095766Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5096004Z 2025-09-07T07:39:45.5096138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5096772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5097240Z return mod(*inputs) 2025-09-07T07:39:45.5097696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5098207Z x = self.forward_features(x) 2025-09-07T07:39:45.5098735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5099266Z x = self.blocks(x) 2025-09-07T07:39:45.5099749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5100270Z x = self.conv_pw(x) 2025-09-07T07:39:45.5100717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5101271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5101939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5102507Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5102742Z 2025-09-07T07:39:45.5102838Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5103118Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5103433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5103943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5104396Z return mod(*inputs) 2025-09-07T07:39:45.5104851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5105446Z x = self.forward_features(x) 2025-09-07T07:39:45.5105976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5106514Z x = self.blocks(x) 2025-09-07T07:39:45.5107004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5107528Z x = self.conv_pw(x) 2025-09-07T07:39:45.5107975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5108467Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5108610Z 2025-09-07T07:39:45.5108745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5109257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5109716Z return mod(*inputs) 2025-09-07T07:39:45.5110171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5110676Z x = self.forward_features(x) 2025-09-07T07:39:45.5111202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5111740Z x = self.blocks(x) 2025-09-07T07:39:45.5112221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5112735Z x = self.bn1(x) 2025-09-07T07:39:45.5113151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5113623Z x = F.batch_norm( 2025-09-07T07:39:45.5113752Z 2025-09-07T07:39:45.5113885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5114401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5114856Z return mod(*inputs) 2025-09-07T07:39:45.5115314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5115819Z x = self.forward_features(x) 2025-09-07T07:39:45.5116525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5117079Z x = self.blocks(x) 2025-09-07T07:39:45.5117557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5118075Z x = self.bn1(x) 2025-09-07T07:39:45.5118492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5118959Z x = self.act(x) 2025-09-07T07:39:45.5119077Z 2025-09-07T07:39:45.5119174Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5119491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5120007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5120464Z return mod(*inputs) 2025-09-07T07:39:45.5120921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5121573Z x = self.forward_features(x) 2025-09-07T07:39:45.5122098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5122628Z x = self.blocks(x) 2025-09-07T07:39:45.5123108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5123628Z x = self.conv_dw(x) 2025-09-07T07:39:45.5124073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5124624Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5125188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5125755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5125988Z 2025-09-07T07:39:45.5126085Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5126411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5126926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5127386Z return mod(*inputs) 2025-09-07T07:39:45.5127840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5128351Z x = self.forward_features(x) 2025-09-07T07:39:45.5128878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5129408Z x = self.blocks(x) 2025-09-07T07:39:45.5129890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5130407Z x = self.conv_dw(x) 2025-09-07T07:39:45.5130857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5131421Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5131984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5132549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5132784Z 2025-09-07T07:39:45.5132881Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5133160Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5133476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5133989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5134444Z return mod(*inputs) 2025-09-07T07:39:45.5134899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5135409Z x = self.forward_features(x) 2025-09-07T07:39:45.5136060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5136609Z x = self.blocks(x) 2025-09-07T07:39:45.5137088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5137611Z x = self.conv_dw(x) 2025-09-07T07:39:45.5138059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5138550Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5138691Z 2025-09-07T07:39:45.5138827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5139345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5139801Z return mod(*inputs) 2025-09-07T07:39:45.5140258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5140765Z x = self.forward_features(x) 2025-09-07T07:39:45.5141428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5141962Z x = self.blocks(x) 2025-09-07T07:39:45.5142445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5142962Z x = self.bn2(x) 2025-09-07T07:39:45.5143379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5143852Z x = F.batch_norm( 2025-09-07T07:39:45.5143981Z 2025-09-07T07:39:45.5144115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5144630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5145090Z return mod(*inputs) 2025-09-07T07:39:45.5145547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5146063Z x = self.forward_features(x) 2025-09-07T07:39:45.5146586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5147119Z x = self.blocks(x) 2025-09-07T07:39:45.5147594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5148107Z x = self.bn2(x) 2025-09-07T07:39:45.5148528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5149000Z x = self.act(x) 2025-09-07T07:39:45.5149119Z 2025-09-07T07:39:45.5149254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5149765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5150225Z return mod(*inputs) 2025-09-07T07:39:45.5150685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5151200Z x = self.forward_features(x) 2025-09-07T07:39:45.5151721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5152257Z x = self.blocks(x) 2025-09-07T07:39:45.5152739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5153258Z x = self.se(x) 2025-09-07T07:39:45.5153720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5154251Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5154421Z 2025-09-07T07:39:45.5154554Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5155068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5155526Z return mod(*inputs) 2025-09-07T07:39:45.5156109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5156629Z x = self.forward_features(x) 2025-09-07T07:39:45.5157153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5157682Z x = self.blocks(x) 2025-09-07T07:39:45.5158168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5158682Z x = self.se(x) 2025-09-07T07:39:45.5159149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5159673Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5159817Z 2025-09-07T07:39:45.5159956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5160468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5161023Z return mod(*inputs) 2025-09-07T07:39:45.5161489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5162003Z x = self.forward_features(x) 2025-09-07T07:39:45.5162525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5163049Z x = self.blocks(x) 2025-09-07T07:39:45.5163529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5164045Z x = self.se(x) 2025-09-07T07:39:45.5164506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5165032Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5165202Z 2025-09-07T07:39:45.5165297Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5165620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5166131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5166585Z return mod(*inputs) 2025-09-07T07:39:45.5167042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5167551Z x = self.forward_features(x) 2025-09-07T07:39:45.5168071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5168604Z x = self.blocks(x) 2025-09-07T07:39:45.5169083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5169611Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5170069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5170626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5171197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5171759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5172000Z 2025-09-07T07:39:45.5172097Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5172415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5172930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5173384Z return mod(*inputs) 2025-09-07T07:39:45.5173846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5186679Z x = self.forward_features(x) 2025-09-07T07:39:45.5187331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5187899Z x = self.blocks(x) 2025-09-07T07:39:45.5188550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5189090Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5189548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5190106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5190677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5191244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5191478Z 2025-09-07T07:39:45.5191581Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5191856Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5192173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5192699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5193254Z return mod(*inputs) 2025-09-07T07:39:45.5193713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5194222Z x = self.forward_features(x) 2025-09-07T07:39:45.5194749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5195280Z x = self.blocks(x) 2025-09-07T07:39:45.5195765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5196290Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5196745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5197236Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5197380Z 2025-09-07T07:39:45.5197518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5198040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5198501Z return mod(*inputs) 2025-09-07T07:39:45.5198960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5199467Z x = self.forward_features(x) 2025-09-07T07:39:45.5199993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5200522Z x = self.blocks(x) 2025-09-07T07:39:45.5201004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5201538Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5201711Z 2025-09-07T07:39:45.5201851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5202361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5202827Z return mod(*inputs) 2025-09-07T07:39:45.5203285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5203793Z x = self.forward_features(x) 2025-09-07T07:39:45.5204318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5204844Z x = self.blocks(x) 2025-09-07T07:39:45.5205430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5205957Z x = self.conv_pw(x) 2025-09-07T07:39:45.5206405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5206955Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5207522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5208277Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5208525Z 2025-09-07T07:39:45.5208662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5209177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5209635Z return mod(*inputs) 2025-09-07T07:39:45.5210094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5210600Z x = self.forward_features(x) 2025-09-07T07:39:45.5211124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5211656Z x = self.blocks(x) 2025-09-07T07:39:45.5212131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5212654Z x = self.conv_pw(x) 2025-09-07T07:39:45.5213235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5213789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5214350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5214918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5215155Z 2025-09-07T07:39:45.5215253Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5215534Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5215846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5216356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5216815Z return mod(*inputs) 2025-09-07T07:39:45.5217271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5217784Z x = self.forward_features(x) 2025-09-07T07:39:45.5218305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5218837Z x = self.blocks(x) 2025-09-07T07:39:45.5219317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5219841Z x = self.conv_pw(x) 2025-09-07T07:39:45.5220288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5220774Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5220922Z 2025-09-07T07:39:45.5221055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5221567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5222024Z return mod(*inputs) 2025-09-07T07:39:45.5222479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5222989Z x = self.forward_features(x) 2025-09-07T07:39:45.5223512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5224041Z x = self.blocks(x) 2025-09-07T07:39:45.5224522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5225037Z x = self.bn1(x) 2025-09-07T07:39:45.5225461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5225934Z x = F.batch_norm( 2025-09-07T07:39:45.5226061Z 2025-09-07T07:39:45.5226199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5226711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5227172Z return mod(*inputs) 2025-09-07T07:39:45.5227774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5228292Z x = self.forward_features(x) 2025-09-07T07:39:45.5228816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5229340Z x = self.blocks(x) 2025-09-07T07:39:45.5229823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5230339Z x = self.bn1(x) 2025-09-07T07:39:45.5230761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5231228Z x = self.act(x) 2025-09-07T07:39:45.5231350Z 2025-09-07T07:39:45.5231446Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5231767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5232283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5232835Z return mod(*inputs) 2025-09-07T07:39:45.5233288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5233794Z x = self.forward_features(x) 2025-09-07T07:39:45.5234316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5234848Z x = self.blocks(x) 2025-09-07T07:39:45.5235325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5235845Z x = self.conv_dw(x) 2025-09-07T07:39:45.5236293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5236430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5236769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5236910Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5236915Z 2025-09-07T07:39:45.5237014Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5237150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5237437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5237516Z return mod(*inputs) 2025-09-07T07:39:45.5237841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5237928Z x = self.forward_features(x) 2025-09-07T07:39:45.5238289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5238362Z x = self.blocks(x) 2025-09-07T07:39:45.5238722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5238801Z x = self.conv_dw(x) 2025-09-07T07:39:45.5239120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5239256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5239590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5239726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5239730Z 2025-09-07T07:39:45.5239826Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5239924Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5240058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5240347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5240422Z return mod(*inputs) 2025-09-07T07:39:45.5240846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5240941Z x = self.forward_features(x) 2025-09-07T07:39:45.5241305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5241381Z x = self.blocks(x) 2025-09-07T07:39:45.5241733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5241808Z x = self.conv_dw(x) 2025-09-07T07:39:45.5242129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5242208Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5242213Z 2025-09-07T07:39:45.5242351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5242637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5242793Z return mod(*inputs) 2025-09-07T07:39:45.5243119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5243204Z x = self.forward_features(x) 2025-09-07T07:39:45.5243570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5243667Z x = self.blocks(x) 2025-09-07T07:39:45.5244022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5244091Z x = self.bn2(x) 2025-09-07T07:39:45.5244395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5244470Z x = F.batch_norm( 2025-09-07T07:39:45.5244475Z 2025-09-07T07:39:45.5244608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5244901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5244980Z return mod(*inputs) 2025-09-07T07:39:45.5245305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5245394Z x = self.forward_features(x) 2025-09-07T07:39:45.5245757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5245833Z x = self.blocks(x) 2025-09-07T07:39:45.5246184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5246254Z x = self.bn2(x) 2025-09-07T07:39:45.5246560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5246629Z x = self.act(x) 2025-09-07T07:39:45.5246634Z 2025-09-07T07:39:45.5246771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5247063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5247143Z return mod(*inputs) 2025-09-07T07:39:45.5247467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5247553Z x = self.forward_features(x) 2025-09-07T07:39:45.5247919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5247996Z x = self.blocks(x) 2025-09-07T07:39:45.5248349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5248418Z x = self.se(x) 2025-09-07T07:39:45.5248766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5248857Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5248865Z 2025-09-07T07:39:45.5249091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5249388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5249462Z return mod(*inputs) 2025-09-07T07:39:45.5249785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5249875Z x = self.forward_features(x) 2025-09-07T07:39:45.5250234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5250309Z x = self.blocks(x) 2025-09-07T07:39:45.5250660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5250730Z x = self.se(x) 2025-09-07T07:39:45.5251080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5251246Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5251251Z 2025-09-07T07:39:45.5251389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5251676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5251754Z return mod(*inputs) 2025-09-07T07:39:45.5252079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5252164Z x = self.forward_features(x) 2025-09-07T07:39:45.5252536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5252609Z x = self.blocks(x) 2025-09-07T07:39:45.5252964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5253033Z x = self.se(x) 2025-09-07T07:39:45.5253389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5253479Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5253484Z 2025-09-07T07:39:45.5253581Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5253720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5254005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5254085Z return mod(*inputs) 2025-09-07T07:39:45.5254412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5254498Z x = self.forward_features(x) 2025-09-07T07:39:45.5254862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5254935Z x = self.blocks(x) 2025-09-07T07:39:45.5255291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5255375Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5255693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5255833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5256165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5256303Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5256308Z 2025-09-07T07:39:45.5256406Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5256543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5256830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5256905Z return mod(*inputs) 2025-09-07T07:39:45.5257235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5257418Z x = self.forward_features(x) 2025-09-07T07:39:45.5257784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5257856Z x = self.blocks(x) 2025-09-07T07:39:45.5258207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5258286Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5258603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5258742Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5259071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5259205Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5259210Z 2025-09-07T07:39:45.5259395Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5259491Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5259627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5259915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5259989Z return mod(*inputs) 2025-09-07T07:39:45.5260317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5260402Z x = self.forward_features(x) 2025-09-07T07:39:45.5260767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5260840Z x = self.blocks(x) 2025-09-07T07:39:45.5261193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5261271Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5261591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5261677Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5261682Z 2025-09-07T07:39:45.5261816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5262103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5262178Z return mod(*inputs) 2025-09-07T07:39:45.5262501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5262589Z x = self.forward_features(x) 2025-09-07T07:39:45.5262949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5263026Z x = self.blocks(x) 2025-09-07T07:39:45.5263376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5263471Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5263476Z 2025-09-07T07:39:45.5263613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5263897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5263976Z return mod(*inputs) 2025-09-07T07:39:45.5264299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5264384Z x = self.forward_features(x) 2025-09-07T07:39:45.5264749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5264823Z x = self.blocks(x) 2025-09-07T07:39:45.5265178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5265253Z x = self.conv_pw(x) 2025-09-07T07:39:45.5265258Z 2025-09-07T07:39:45.5265395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5265796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5265888Z return mod(*inputs) 2025-09-07T07:39:45.5266228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5266314Z x = self.forward_features(x) 2025-09-07T07:39:45.5266677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5266750Z x = self.blocks(x) 2025-09-07T07:39:45.5267102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5267175Z x = self.bn1(x) 2025-09-07T07:39:45.5267480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5267554Z x = F.batch_norm( 2025-09-07T07:39:45.5267640Z 2025-09-07T07:39:45.5267784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5268071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5268147Z return mod(*inputs) 2025-09-07T07:39:45.5268471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5268560Z x = self.forward_features(x) 2025-09-07T07:39:45.5268921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5268997Z x = self.blocks(x) 2025-09-07T07:39:45.5269349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5269418Z x = self.bn1(x) 2025-09-07T07:39:45.5269726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5269799Z x = self.act(x) 2025-09-07T07:39:45.5269807Z 2025-09-07T07:39:45.5269907Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5270040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5270324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5270402Z return mod(*inputs) 2025-09-07T07:39:45.5270726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5270813Z x = self.forward_features(x) 2025-09-07T07:39:45.5271173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5271245Z x = self.blocks(x) 2025-09-07T07:39:45.5271602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5271675Z x = self.conv_dw(x) 2025-09-07T07:39:45.5272004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5272142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5272470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5272609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5272613Z 2025-09-07T07:39:45.5272709Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5272847Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5273133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5273212Z return mod(*inputs) 2025-09-07T07:39:45.5273537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5273623Z x = self.forward_features(x) 2025-09-07T07:39:45.5274085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5274165Z x = self.blocks(x) 2025-09-07T07:39:45.5274522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5274597Z x = self.conv_dw(x) 2025-09-07T07:39:45.5274912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5275051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5275381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5275518Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5275523Z 2025-09-07T07:39:45.5275619Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5275753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5276118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5276194Z return mod(*inputs) 2025-09-07T07:39:45.5276523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5276609Z x = self.forward_features(x) 2025-09-07T07:39:45.5276968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5277044Z x = self.blocks(x) 2025-09-07T07:39:45.5277395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5277471Z x = self.conv_dw(x) 2025-09-07T07:39:45.5277786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5277925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5278262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5278398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5278403Z 2025-09-07T07:39:45.5278501Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5278596Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5278692Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5278828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5279114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5279191Z return mod(*inputs) 2025-09-07T07:39:45.5279514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5279601Z x = self.forward_features(x) 2025-09-07T07:39:45.5279967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5280044Z x = self.blocks(x) 2025-09-07T07:39:45.5280400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5280473Z x = self.conv_dw(x) 2025-09-07T07:39:45.5280794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5280872Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5280877Z 2025-09-07T07:39:45.5281011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5281301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5281376Z return mod(*inputs) 2025-09-07T07:39:45.5281700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5281785Z x = self.forward_features(x) 2025-09-07T07:39:45.5282249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5282329Z x = self.blocks(x) 2025-09-07T07:39:45.5282682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5282754Z x = self.bn2(x) 2025-09-07T07:39:45.5283057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5283131Z x = F.batch_norm( 2025-09-07T07:39:45.5283135Z 2025-09-07T07:39:45.5283269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5283555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5283634Z return mod(*inputs) 2025-09-07T07:39:45.5283958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5284138Z x = self.forward_features(x) 2025-09-07T07:39:45.5284505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5284578Z x = self.blocks(x) 2025-09-07T07:39:45.5284934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5285003Z x = self.bn2(x) 2025-09-07T07:39:45.5285307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5285375Z x = self.act(x) 2025-09-07T07:39:45.5285380Z 2025-09-07T07:39:45.5285512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5285802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5285877Z return mod(*inputs) 2025-09-07T07:39:45.5286206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5286296Z x = self.forward_features(x) 2025-09-07T07:39:45.5286660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5286733Z x = self.blocks(x) 2025-09-07T07:39:45.5287083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5287155Z x = self.se(x) 2025-09-07T07:39:45.5287504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5287592Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5287597Z 2025-09-07T07:39:45.5287731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5288015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5288093Z return mod(*inputs) 2025-09-07T07:39:45.5288429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5288516Z x = self.forward_features(x) 2025-09-07T07:39:45.5288877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5288950Z x = self.blocks(x) 2025-09-07T07:39:45.5289304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5289373Z x = self.se(x) 2025-09-07T07:39:45.5289726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5289804Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5289808Z 2025-09-07T07:39:45.5289946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5290231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5290401Z return mod(*inputs) 2025-09-07T07:39:45.5290740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5290825Z x = self.forward_features(x) 2025-09-07T07:39:45.5291192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5291263Z x = self.blocks(x) 2025-09-07T07:39:45.5291617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5291688Z x = self.se(x) 2025-09-07T07:39:45.5292035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5292123Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5292128Z 2025-09-07T07:39:45.5292263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5292660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5292739Z return mod(*inputs) 2025-09-07T07:39:45.5293068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5293156Z x = self.forward_features(x) 2025-09-07T07:39:45.5293517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5293590Z x = self.blocks(x) 2025-09-07T07:39:45.5293944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5294011Z x = self.se(x) 2025-09-07T07:39:45.5294359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5294443Z return x * self.gate(x_se) 2025-09-07T07:39:45.5294447Z 2025-09-07T07:39:45.5294588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5294876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5294951Z return mod(*inputs) 2025-09-07T07:39:45.5295281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5295366Z x = self.forward_features(x) 2025-09-07T07:39:45.5295730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5295802Z x = self.blocks(x) 2025-09-07T07:39:45.5296154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5296225Z x = self.se(x) 2025-09-07T07:39:45.5296571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5296656Z return x * self.gate(x_se) 2025-09-07T07:39:45.5296668Z 2025-09-07T07:39:45.5296803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5297088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5297164Z return mod(*inputs) 2025-09-07T07:39:45.5297489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5297578Z x = self.forward_features(x) 2025-09-07T07:39:45.5297942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5298014Z x = self.blocks(x) 2025-09-07T07:39:45.5298369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5298446Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5298450Z 2025-09-07T07:39:45.5298592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5299019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5299107Z return mod(*inputs) 2025-09-07T07:39:45.5299435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5299521Z x = self.forward_features(x) 2025-09-07T07:39:45.5299887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5299959Z x = self.blocks(x) 2025-09-07T07:39:45.5300314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:45.5300383Z x = self.bn3(x) 2025-09-07T07:39:45.5300690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5300764Z x = F.batch_norm( 2025-09-07T07:39:45.5300769Z 2025-09-07T07:39:45.5300990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5301279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5301354Z return mod(*inputs) 2025-09-07T07:39:45.5301679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5301766Z x = self.forward_features(x) 2025-09-07T07:39:45.5302128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5302202Z x = self.blocks(x) 2025-09-07T07:39:45.5302551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5302626Z x = self.conv_pw(x) 2025-09-07T07:39:45.5302945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5303085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5303423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5303558Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5303563Z 2025-09-07T07:39:45.5303699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5303984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5304058Z return mod(*inputs) 2025-09-07T07:39:45.5304387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5304472Z x = self.forward_features(x) 2025-09-07T07:39:45.5304838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5304911Z x = self.blocks(x) 2025-09-07T07:39:45.5305356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5305445Z x = self.conv_pw(x) 2025-09-07T07:39:45.5305764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5305903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5306231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5306370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5306375Z 2025-09-07T07:39:45.5306472Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5306568Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5306706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5306992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5307233Z return mod(*inputs) 2025-09-07T07:39:45.5307577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5307671Z x = self.forward_features(x) 2025-09-07T07:39:45.5308036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5308108Z x = self.blocks(x) 2025-09-07T07:39:45.5308463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5308538Z x = self.conv_pw(x) 2025-09-07T07:39:45.5308856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5308937Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5308942Z 2025-09-07T07:39:45.5309075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5309367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5309562Z return mod(*inputs) 2025-09-07T07:39:45.5309889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5309978Z x = self.forward_features(x) 2025-09-07T07:39:45.5310340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5310419Z x = self.blocks(x) 2025-09-07T07:39:45.5310770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5310839Z x = self.bn1(x) 2025-09-07T07:39:45.5311145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5311215Z x = F.batch_norm( 2025-09-07T07:39:45.5311219Z 2025-09-07T07:39:45.5311356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5311650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5311727Z return mod(*inputs) 2025-09-07T07:39:45.5312053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5312137Z x = self.forward_features(x) 2025-09-07T07:39:45.5312501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5312573Z x = self.blocks(x) 2025-09-07T07:39:45.5312927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5312995Z x = self.bn1(x) 2025-09-07T07:39:45.5313297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5313370Z x = self.act(x) 2025-09-07T07:39:45.5313375Z 2025-09-07T07:39:45.5313476Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5313618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5313904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5313979Z return mod(*inputs) 2025-09-07T07:39:45.5314311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5314396Z x = self.forward_features(x) 2025-09-07T07:39:45.5314762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5314835Z x = self.blocks(x) 2025-09-07T07:39:45.5315187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5315263Z x = self.conv_dw(x) 2025-09-07T07:39:45.5315580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5315815Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5316154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5316294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5316298Z 2025-09-07T07:39:45.5316395Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5316529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5316818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5316893Z return mod(*inputs) 2025-09-07T07:39:45.5317221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5317305Z x = self.forward_features(x) 2025-09-07T07:39:45.5317671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5317830Z x = self.blocks(x) 2025-09-07T07:39:45.5318183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5318261Z x = self.conv_dw(x) 2025-09-07T07:39:45.5318578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5318712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5319044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5319177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5319181Z 2025-09-07T07:39:45.5319282Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5319416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5319710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5319789Z return mod(*inputs) 2025-09-07T07:39:45.5320114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5320202Z x = self.forward_features(x) 2025-09-07T07:39:45.5320561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5320635Z x = self.blocks(x) 2025-09-07T07:39:45.5320988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5321061Z x = self.conv_dw(x) 2025-09-07T07:39:45.5321382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5321517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5321851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5321988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5321992Z 2025-09-07T07:39:45.5322088Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5322225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5322510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5322589Z return mod(*inputs) 2025-09-07T07:39:45.5322917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5323004Z x = self.forward_features(x) 2025-09-07T07:39:45.5323366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5323439Z x = self.blocks(x) 2025-09-07T07:39:45.5323882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5323966Z x = self.conv_dw(x) 2025-09-07T07:39:45.5324287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5324422Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5324751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5324890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5324895Z 2025-09-07T07:39:45.5324991Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5325089Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5325183Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5325277Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5325414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5325710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5325898Z return mod(*inputs) 2025-09-07T07:39:45.5326226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5326310Z x = self.forward_features(x) 2025-09-07T07:39:45.5326676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5326750Z x = self.blocks(x) 2025-09-07T07:39:45.5327105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5327179Z x = self.conv_dw(x) 2025-09-07T07:39:45.5327496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5327578Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5327582Z 2025-09-07T07:39:45.5327679Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5327825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5328110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5328188Z return mod(*inputs) 2025-09-07T07:39:45.5328515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5328600Z x = self.forward_features(x) 2025-09-07T07:39:45.5328966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5329039Z x = self.blocks(x) 2025-09-07T07:39:45.5329391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5329461Z x = self.se(x) 2025-09-07T07:39:45.5329809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5329906Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5329910Z 2025-09-07T07:39:45.5330044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5330334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5330409Z return mod(*inputs) 2025-09-07T07:39:45.5330731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5330819Z x = self.forward_features(x) 2025-09-07T07:39:45.5331180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5331258Z x = self.blocks(x) 2025-09-07T07:39:45.5331607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5331675Z x = self.se(x) 2025-09-07T07:39:45.5332142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5332284Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5332289Z 2025-09-07T07:39:45.5332446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5332731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5332809Z return mod(*inputs) 2025-09-07T07:39:45.5333133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5333219Z x = self.forward_features(x) 2025-09-07T07:39:45.5333584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5333655Z x = self.blocks(x) 2025-09-07T07:39:45.5334007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5334076Z x = self.se(x) 2025-09-07T07:39:45.5334520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5334603Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5334608Z 2025-09-07T07:39:45.5334745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5335031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5335108Z return mod(*inputs) 2025-09-07T07:39:45.5335431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5335521Z x = self.forward_features(x) 2025-09-07T07:39:45.5335879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5335954Z x = self.blocks(x) 2025-09-07T07:39:45.5336306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5336382Z x = self.se(x) 2025-09-07T07:39:45.5336733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5336818Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5336823Z 2025-09-07T07:39:45.5336959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5337244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5337321Z return mod(*inputs) 2025-09-07T07:39:45.5337648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5337732Z x = self.forward_features(x) 2025-09-07T07:39:45.5338097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5338170Z x = self.blocks(x) 2025-09-07T07:39:45.5338527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5338599Z x = self.se(x) 2025-09-07T07:39:45.5338946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5339031Z return x * self.gate(x_se) 2025-09-07T07:39:45.5339036Z 2025-09-07T07:39:45.5339170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5339455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5339529Z return mod(*inputs) 2025-09-07T07:39:45.5339852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5339938Z x = self.forward_features(x) 2025-09-07T07:39:45.5340299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5340379Z x = self.blocks(x) 2025-09-07T07:39:45.5340829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5340905Z x = self.se(x) 2025-09-07T07:39:45.5341252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5341334Z return x * self.gate(x_se) 2025-09-07T07:39:45.5341339Z 2025-09-07T07:39:45.5341439Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5341573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5341860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5341935Z return mod(*inputs) 2025-09-07T07:39:45.5342262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5342350Z x = self.forward_features(x) 2025-09-07T07:39:45.5342798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5342875Z x = self.blocks(x) 2025-09-07T07:39:45.5343227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5343331Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5343650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5343788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5344122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5344258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5344262Z 2025-09-07T07:39:45.5344362Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5344497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5344791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5344869Z return mod(*inputs) 2025-09-07T07:39:45.5345194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5345284Z x = self.forward_features(x) 2025-09-07T07:39:45.5345644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5345717Z x = self.blocks(x) 2025-09-07T07:39:45.5346073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5346150Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5346469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5346607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5346943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5347085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5347090Z 2025-09-07T07:39:45.5347187Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5347285Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5347418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5347703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5347784Z return mod(*inputs) 2025-09-07T07:39:45.5348110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5348198Z x = self.forward_features(x) 2025-09-07T07:39:45.5348560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5348731Z x = self.blocks(x) 2025-09-07T07:39:45.5349094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5349171Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5349488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5349568Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5349573Z 2025-09-07T07:39:45.5349710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5349995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5350070Z return mod(*inputs) 2025-09-07T07:39:45.5350398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5350483Z x = self.forward_features(x) 2025-09-07T07:39:45.5350852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5351007Z x = self.blocks(x) 2025-09-07T07:39:45.5351364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5351453Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5351457Z 2025-09-07T07:39:45.5351591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5351880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5351955Z return mod(*inputs) 2025-09-07T07:39:45.5352282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5352370Z x = self.forward_features(x) 2025-09-07T07:39:45.5352732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5352807Z x = self.blocks(x) 2025-09-07T07:39:45.5353165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5353242Z x = self.conv_pw(x) 2025-09-07T07:39:45.5353558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5353694Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5354030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5354166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5354170Z 2025-09-07T07:39:45.5354305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5354592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5354667Z return mod(*inputs) 2025-09-07T07:39:45.5355002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5355092Z x = self.forward_features(x) 2025-09-07T07:39:45.5355455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5355527Z x = self.blocks(x) 2025-09-07T07:39:45.5355876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5355954Z x = self.conv_pw(x) 2025-09-07T07:39:45.5356270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5356410Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5356741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5356881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5356890Z 2025-09-07T07:39:45.5357095Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5357197Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5357337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5357625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5357703Z return mod(*inputs) 2025-09-07T07:39:45.5358028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5358111Z x = self.forward_features(x) 2025-09-07T07:39:45.5358479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5358552Z x = self.blocks(x) 2025-09-07T07:39:45.5358905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5359076Z x = self.conv_pw(x) 2025-09-07T07:39:45.5359402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5359483Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5359488Z 2025-09-07T07:39:45.5359623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5359913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5359989Z return mod(*inputs) 2025-09-07T07:39:45.5360313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5360404Z x = self.forward_features(x) 2025-09-07T07:39:45.5360766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5360843Z x = self.blocks(x) 2025-09-07T07:39:45.5361193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5361273Z x = self.bn1(x) 2025-09-07T07:39:45.5361577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5361647Z x = F.batch_norm( 2025-09-07T07:39:45.5361651Z 2025-09-07T07:39:45.5361791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5362076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5362154Z return mod(*inputs) 2025-09-07T07:39:45.5362477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5362561Z x = self.forward_features(x) 2025-09-07T07:39:45.5362926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5363000Z x = self.blocks(x) 2025-09-07T07:39:45.5363360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5363432Z x = self.bn1(x) 2025-09-07T07:39:45.5363734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5363807Z x = self.act(x) 2025-09-07T07:39:45.5363812Z 2025-09-07T07:39:45.5363909Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5364045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5364331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5364406Z return mod(*inputs) 2025-09-07T07:39:45.5364734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5364818Z x = self.forward_features(x) 2025-09-07T07:39:45.5365185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5365351Z x = self.blocks(x) 2025-09-07T07:39:45.5365715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5365789Z x = self.conv_dw(x) 2025-09-07T07:39:45.5366105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5366244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5366572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5366712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5366716Z 2025-09-07T07:39:45.5366814Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5366947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5367235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5367397Z return mod(*inputs) 2025-09-07T07:39:45.5367723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5367809Z x = self.forward_features(x) 2025-09-07T07:39:45.5368171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5368248Z x = self.blocks(x) 2025-09-07T07:39:45.5368600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5368677Z x = self.conv_dw(x) 2025-09-07T07:39:45.5368995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5369131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5369466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5369605Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5369609Z 2025-09-07T07:39:45.5369711Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5369846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5370133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5370208Z return mod(*inputs) 2025-09-07T07:39:45.5370531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5370620Z x = self.forward_features(x) 2025-09-07T07:39:45.5370984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5371060Z x = self.blocks(x) 2025-09-07T07:39:45.5371411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5371493Z x = self.conv_dw(x) 2025-09-07T07:39:45.5371812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5371947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5372278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5372414Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5372418Z 2025-09-07T07:39:45.5372518Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5372651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5372936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5373015Z return mod(*inputs) 2025-09-07T07:39:45.5373340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5373523Z x = self.forward_features(x) 2025-09-07T07:39:45.5373890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5373962Z x = self.blocks(x) 2025-09-07T07:39:45.5374317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5374390Z x = self.conv_dw(x) 2025-09-07T07:39:45.5374709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5374845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5375172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5375308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5375313Z 2025-09-07T07:39:45.5375493Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5375599Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5375693Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5375786Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5375922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5376210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5376287Z return mod(*inputs) 2025-09-07T07:39:45.5376610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5376693Z x = self.forward_features(x) 2025-09-07T07:39:45.5377059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5377131Z x = self.blocks(x) 2025-09-07T07:39:45.5377486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5377565Z x = self.conv_dw(x) 2025-09-07T07:39:45.5377882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5377965Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5377969Z 2025-09-07T07:39:45.5378064Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5378201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5378485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5378562Z return mod(*inputs) 2025-09-07T07:39:45.5378886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5378971Z x = self.forward_features(x) 2025-09-07T07:39:45.5379341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5379417Z x = self.blocks(x) 2025-09-07T07:39:45.5379776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5379845Z x = self.se(x) 2025-09-07T07:39:45.5380193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5380283Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5380288Z 2025-09-07T07:39:45.5380424Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5380713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5380793Z return mod(*inputs) 2025-09-07T07:39:45.5381118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5381207Z x = self.forward_features(x) 2025-09-07T07:39:45.5381655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5381740Z x = self.blocks(x) 2025-09-07T07:39:45.5382092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5382161Z x = self.se(x) 2025-09-07T07:39:45.5382510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5382620Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5382624Z 2025-09-07T07:39:45.5382761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5383047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5383125Z return mod(*inputs) 2025-09-07T07:39:45.5383449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5383535Z x = self.forward_features(x) 2025-09-07T07:39:45.5383993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5384066Z x = self.blocks(x) 2025-09-07T07:39:45.5384421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5384490Z x = self.se(x) 2025-09-07T07:39:45.5384838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5384920Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5384925Z 2025-09-07T07:39:45.5385058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5385345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5385421Z return mod(*inputs) 2025-09-07T07:39:45.5385745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5385843Z x = self.forward_features(x) 2025-09-07T07:39:45.5386201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5386278Z x = self.blocks(x) 2025-09-07T07:39:45.5386625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5386696Z x = self.se(x) 2025-09-07T07:39:45.5387042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5387127Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5387131Z 2025-09-07T07:39:45.5387267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5387551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5387628Z return mod(*inputs) 2025-09-07T07:39:45.5387956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5388045Z x = self.forward_features(x) 2025-09-07T07:39:45.5388409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5388482Z x = self.blocks(x) 2025-09-07T07:39:45.5388837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5388905Z x = self.se(x) 2025-09-07T07:39:45.5389252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5389337Z return x * self.gate(x_se) 2025-09-07T07:39:45.5389342Z 2025-09-07T07:39:45.5389475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5389763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5389843Z return mod(*inputs) 2025-09-07T07:39:45.5390286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5390377Z x = self.forward_features(x) 2025-09-07T07:39:45.5390739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5390813Z x = self.blocks(x) 2025-09-07T07:39:45.5391166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5391238Z x = self.se(x) 2025-09-07T07:39:45.5391584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5391666Z return x * self.gate(x_se) 2025-09-07T07:39:45.5391670Z 2025-09-07T07:39:45.5391771Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5391905Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5392285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5392361Z return mod(*inputs) 2025-09-07T07:39:45.5392687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5392775Z x = self.forward_features(x) 2025-09-07T07:39:45.5393135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5393212Z x = self.blocks(x) 2025-09-07T07:39:45.5393565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5393641Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5393961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5394098Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5394439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5394577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5394581Z 2025-09-07T07:39:45.5394679Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5394813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5395098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5395176Z return mod(*inputs) 2025-09-07T07:39:45.5395499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5395585Z x = self.forward_features(x) 2025-09-07T07:39:45.5395947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5396019Z x = self.blocks(x) 2025-09-07T07:39:45.5396379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5396460Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5396779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5396916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5397245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5397381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5397386Z 2025-09-07T07:39:45.5397482Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5397580Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5397714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5397999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5398174Z return mod(*inputs) 2025-09-07T07:39:45.5398504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5398591Z x = self.forward_features(x) 2025-09-07T07:39:45.5398956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5399062Z x = self.blocks(x) 2025-09-07T07:39:45.5399416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5399491Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5399811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5399887Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5399892Z 2025-09-07T07:39:45.5400030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5400320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5400481Z return mod(*inputs) 2025-09-07T07:39:45.5400813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5400898Z x = self.forward_features(x) 2025-09-07T07:39:45.5401261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5401335Z x = self.blocks(x) 2025-09-07T07:39:45.5401685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5401775Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5401779Z 2025-09-07T07:39:45.5401913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5402203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5402278Z return mod(*inputs) 2025-09-07T07:39:45.5402614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5402701Z x = self.forward_features(x) 2025-09-07T07:39:45.5403064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5403141Z x = self.blocks(x) 2025-09-07T07:39:45.5403493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5403571Z x = self.conv_pw(x) 2025-09-07T07:39:45.5403888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5404024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5404356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5404494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5404502Z 2025-09-07T07:39:45.5404639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5404925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5405000Z return mod(*inputs) 2025-09-07T07:39:45.5405424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5405509Z x = self.forward_features(x) 2025-09-07T07:39:45.5405878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5405951Z x = self.blocks(x) 2025-09-07T07:39:45.5406304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5406381Z x = self.conv_pw(x) 2025-09-07T07:39:45.5406857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5407018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5407348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5407486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5407491Z 2025-09-07T07:39:45.5407587Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5407682Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5407819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5408105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5408182Z return mod(*inputs) 2025-09-07T07:39:45.5408509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5408592Z x = self.forward_features(x) 2025-09-07T07:39:45.5409081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5409155Z x = self.blocks(x) 2025-09-07T07:39:45.5409509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5409584Z x = self.conv_pw(x) 2025-09-07T07:39:45.5409899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5409979Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5409983Z 2025-09-07T07:39:45.5410116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5410405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5410478Z return mod(*inputs) 2025-09-07T07:39:45.5410807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5410902Z x = self.forward_features(x) 2025-09-07T07:39:45.5411262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5411336Z x = self.blocks(x) 2025-09-07T07:39:45.5411685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5411756Z x = self.bn1(x) 2025-09-07T07:39:45.5412060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5412129Z x = F.batch_norm( 2025-09-07T07:39:45.5412133Z 2025-09-07T07:39:45.5412270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5412555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5412632Z return mod(*inputs) 2025-09-07T07:39:45.5412958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5413049Z x = self.forward_features(x) 2025-09-07T07:39:45.5413413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5413485Z x = self.blocks(x) 2025-09-07T07:39:45.5413838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5413907Z x = self.bn1(x) 2025-09-07T07:39:45.5414210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5414282Z x = self.act(x) 2025-09-07T07:39:45.5414287Z 2025-09-07T07:39:45.5414383Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5414520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5414806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5414978Z return mod(*inputs) 2025-09-07T07:39:45.5415311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5415395Z x = self.forward_features(x) 2025-09-07T07:39:45.5415759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5415832Z x = self.blocks(x) 2025-09-07T07:39:45.5416186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5416260Z x = self.conv_dw(x) 2025-09-07T07:39:45.5416579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5416720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5417049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5417300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5417304Z 2025-09-07T07:39:45.5417401Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5417535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5417824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5417897Z return mod(*inputs) 2025-09-07T07:39:45.5418225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5418311Z x = self.forward_features(x) 2025-09-07T07:39:45.5418674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5418750Z x = self.blocks(x) 2025-09-07T07:39:45.5419101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5419185Z x = self.conv_dw(x) 2025-09-07T07:39:45.5419504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5419644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5419975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5420110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5420114Z 2025-09-07T07:39:45.5420215Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5420348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5420634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5420708Z return mod(*inputs) 2025-09-07T07:39:45.5421033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5421128Z x = self.forward_features(x) 2025-09-07T07:39:45.5421490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5421564Z x = self.blocks(x) 2025-09-07T07:39:45.5421917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5421991Z x = self.conv_dw(x) 2025-09-07T07:39:45.5422313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5422449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5422782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5422916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5422920Z 2025-09-07T07:39:45.5423018Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5423247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5423541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5423620Z return mod(*inputs) 2025-09-07T07:39:45.5423945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5424035Z x = self.forward_features(x) 2025-09-07T07:39:45.5424397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5424470Z x = self.blocks(x) 2025-09-07T07:39:45.5424825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5424899Z x = self.conv_dw(x) 2025-09-07T07:39:45.5425220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5425492Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5425821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5425960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5425965Z 2025-09-07T07:39:45.5426060Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5426158Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5426252Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5426345Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5426481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5426770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5426849Z return mod(*inputs) 2025-09-07T07:39:45.5427173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5427265Z x = self.forward_features(x) 2025-09-07T07:39:45.5427629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5427702Z x = self.blocks(x) 2025-09-07T07:39:45.5428056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5428129Z x = self.conv_dw(x) 2025-09-07T07:39:45.5428448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5428528Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5428532Z 2025-09-07T07:39:45.5428627Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5428764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5429049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5429127Z return mod(*inputs) 2025-09-07T07:39:45.5429461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5429545Z x = self.forward_features(x) 2025-09-07T07:39:45.5429909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5429982Z x = self.blocks(x) 2025-09-07T07:39:45.5430336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5430404Z x = self.se(x) 2025-09-07T07:39:45.5430751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5430839Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5430844Z 2025-09-07T07:39:45.5430978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5431355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5431478Z return mod(*inputs) 2025-09-07T07:39:45.5431805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5431893Z x = self.forward_features(x) 2025-09-07T07:39:45.5432254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5432331Z x = self.blocks(x) 2025-09-07T07:39:45.5432683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5432755Z x = self.se(x) 2025-09-07T07:39:45.5433102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5433189Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5433193Z 2025-09-07T07:39:45.5433330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5433705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5433785Z return mod(*inputs) 2025-09-07T07:39:45.5434110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5434194Z x = self.forward_features(x) 2025-09-07T07:39:45.5434556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5434628Z x = self.blocks(x) 2025-09-07T07:39:45.5434981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5435049Z x = self.se(x) 2025-09-07T07:39:45.5435396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5435478Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5435483Z 2025-09-07T07:39:45.5435624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5435915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5435989Z return mod(*inputs) 2025-09-07T07:39:45.5436317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5436403Z x = self.forward_features(x) 2025-09-07T07:39:45.5436762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5436838Z x = self.blocks(x) 2025-09-07T07:39:45.5437189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5437260Z x = self.se(x) 2025-09-07T07:39:45.5437606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5437698Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5437703Z 2025-09-07T07:39:45.5437840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5438125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5438206Z return mod(*inputs) 2025-09-07T07:39:45.5438532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5438616Z x = self.forward_features(x) 2025-09-07T07:39:45.5438979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5439049Z x = self.blocks(x) 2025-09-07T07:39:45.5439404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5439472Z x = self.se(x) 2025-09-07T07:39:45.5439905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5439999Z return x * self.gate(x_se) 2025-09-07T07:39:45.5440004Z 2025-09-07T07:39:45.5440139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5440426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5440501Z return mod(*inputs) 2025-09-07T07:39:45.5440829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5440914Z x = self.forward_features(x) 2025-09-07T07:39:45.5441274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5441349Z x = self.blocks(x) 2025-09-07T07:39:45.5441699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5441768Z x = self.se(x) 2025-09-07T07:39:45.5442203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5442292Z return x * self.gate(x_se) 2025-09-07T07:39:45.5442296Z 2025-09-07T07:39:45.5442397Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5442531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5442818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5442893Z return mod(*inputs) 2025-09-07T07:39:45.5443220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5443307Z x = self.forward_features(x) 2025-09-07T07:39:45.5443670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5443743Z x = self.blocks(x) 2025-09-07T07:39:45.5444097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5444176Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5444496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5444633Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5444965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5445100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5445105Z 2025-09-07T07:39:45.5445202Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5445335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5445620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5445698Z return mod(*inputs) 2025-09-07T07:39:45.5446024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5446116Z x = self.forward_features(x) 2025-09-07T07:39:45.5446478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5446549Z x = self.blocks(x) 2025-09-07T07:39:45.5446904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5446980Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5447300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5447436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5447764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5447902Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5447910Z 2025-09-07T07:39:45.5448094Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5448200Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5448335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5448624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5448698Z return mod(*inputs) 2025-09-07T07:39:45.5449023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5449110Z x = self.forward_features(x) 2025-09-07T07:39:45.5449472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5449546Z x = self.blocks(x) 2025-09-07T07:39:45.5449896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5449973Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5450397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5450482Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5450487Z 2025-09-07T07:39:45.5450623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5450908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5450983Z return mod(*inputs) 2025-09-07T07:39:45.5451311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5451394Z x = self.forward_features(x) 2025-09-07T07:39:45.5451757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5451830Z x = self.blocks(x) 2025-09-07T07:39:45.5452181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5452277Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5452281Z 2025-09-07T07:39:45.5452415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5452701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5452776Z return mod(*inputs) 2025-09-07T07:39:45.5453106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5453191Z x = self.forward_features(x) 2025-09-07T07:39:45.5453553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5453628Z x = self.blocks(x) 2025-09-07T07:39:45.5453981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5454058Z x = self.conv_pw(x) 2025-09-07T07:39:45.5454067Z 2025-09-07T07:39:45.5454205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5454488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5454568Z return mod(*inputs) 2025-09-07T07:39:45.5454893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5454980Z x = self.forward_features(x) 2025-09-07T07:39:45.5455343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5455415Z x = self.blocks(x) 2025-09-07T07:39:45.5455773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5455848Z x = self.conv_dw(x) 2025-09-07T07:39:45.5455853Z 2025-09-07T07:39:45.5455953Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5456085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5456468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5456551Z return mod(*inputs) 2025-09-07T07:39:45.5456876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5456963Z x = self.forward_features(x) 2025-09-07T07:39:45.5457324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5457399Z x = self.blocks(x) 2025-09-07T07:39:45.5457749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5457817Z x = self.se(x) 2025-09-07T07:39:45.5458168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5458255Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5458333Z 2025-09-07T07:39:45.5458478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5458763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5458839Z return mod(*inputs) 2025-09-07T07:39:45.5459166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5459252Z x = self.forward_features(x) 2025-09-07T07:39:45.5459618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5459689Z x = self.blocks(x) 2025-09-07T07:39:45.5460038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5460108Z x = self.se(x) 2025-09-07T07:39:45.5460454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5460550Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5460554Z 2025-09-07T07:39:45.5460690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5460977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5461051Z return mod(*inputs) 2025-09-07T07:39:45.5461376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5461464Z x = self.forward_features(x) 2025-09-07T07:39:45.5461824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5461899Z x = self.blocks(x) 2025-09-07T07:39:45.5462250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5462318Z x = self.se(x) 2025-09-07T07:39:45.5462672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5462757Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5462762Z 2025-09-07T07:39:45.5462899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5463182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5463256Z return mod(*inputs) 2025-09-07T07:39:45.5463585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5463670Z x = self.forward_features(x) 2025-09-07T07:39:45.5464034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5464109Z x = self.blocks(x) 2025-09-07T07:39:45.5464460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5464534Z x = self.se(x) 2025-09-07T07:39:45.5464976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5465072Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5465077Z 2025-09-07T07:39:45.5465212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5465499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5465575Z return mod(*inputs) 2025-09-07T07:39:45.5465900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5465986Z x = self.forward_features(x) 2025-09-07T07:39:45.5466347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5466421Z x = self.blocks(x) 2025-09-07T07:39:45.5466775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5466922Z x = self.se(x) 2025-09-07T07:39:45.5467275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5467357Z return x * self.gate(x_se) 2025-09-07T07:39:45.5467361Z 2025-09-07T07:39:45.5467496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5467782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5467857Z return mod(*inputs) 2025-09-07T07:39:45.5468186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5468271Z x = self.forward_features(x) 2025-09-07T07:39:45.5468633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5468707Z x = self.blocks(x) 2025-09-07T07:39:45.5469065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5469136Z x = self.se(x) 2025-09-07T07:39:45.5469484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5469568Z return x * self.gate(x_se) 2025-09-07T07:39:45.5469573Z 2025-09-07T07:39:45.5469706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5469993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5470069Z return mod(*inputs) 2025-09-07T07:39:45.5470395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5470484Z x = self.forward_features(x) 2025-09-07T07:39:45.5470845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5470927Z x = self.blocks(x) 2025-09-07T07:39:45.5471284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5471360Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5471365Z 2025-09-07T07:39:45.5471502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5471786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5471862Z return mod(*inputs) 2025-09-07T07:39:45.5472187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5472270Z x = self.forward_features(x) 2025-09-07T07:39:45.5472644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5472716Z x = self.blocks(x) 2025-09-07T07:39:45.5473168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:45.5473245Z x = self.bn3(x) 2025-09-07T07:39:45.5473555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5473627Z x = F.batch_norm( 2025-09-07T07:39:45.5473632Z 2025-09-07T07:39:45.5473766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5474055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5474130Z return mod(*inputs) 2025-09-07T07:39:45.5474457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5474543Z x = self.forward_features(x) 2025-09-07T07:39:45.5474906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5474982Z x = self.blocks(x) 2025-09-07T07:39:45.5475423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5475501Z x = self.conv_pw(x) 2025-09-07T07:39:45.5475821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5475957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5476289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5476426Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5476431Z 2025-09-07T07:39:45.5476569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5476857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5476934Z return mod(*inputs) 2025-09-07T07:39:45.5477263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5477352Z x = self.forward_features(x) 2025-09-07T07:39:45.5477720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5477792Z x = self.blocks(x) 2025-09-07T07:39:45.5478147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5478222Z x = self.conv_pw(x) 2025-09-07T07:39:45.5478540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5478679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5479008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5479146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5479154Z 2025-09-07T07:39:45.5479254Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5479351Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5479488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5479770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5479848Z return mod(*inputs) 2025-09-07T07:39:45.5480176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5480260Z x = self.forward_features(x) 2025-09-07T07:39:45.5480626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5480700Z x = self.blocks(x) 2025-09-07T07:39:45.5481059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5481134Z x = self.conv_pw(x) 2025-09-07T07:39:45.5481578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5481664Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5481669Z 2025-09-07T07:39:45.5481807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5482097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5482172Z return mod(*inputs) 2025-09-07T07:39:45.5482499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5482584Z x = self.forward_features(x) 2025-09-07T07:39:45.5482947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5483022Z x = self.blocks(x) 2025-09-07T07:39:45.5483373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5483535Z x = self.bn1(x) 2025-09-07T07:39:45.5483851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5483921Z x = F.batch_norm( 2025-09-07T07:39:45.5483925Z 2025-09-07T07:39:45.5484065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5484352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5484431Z return mod(*inputs) 2025-09-07T07:39:45.5484756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5484842Z x = self.forward_features(x) 2025-09-07T07:39:45.5485260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5485373Z x = self.blocks(x) 2025-09-07T07:39:45.5485775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5485865Z x = self.bn1(x) 2025-09-07T07:39:45.5486202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5486301Z x = self.act(x) 2025-09-07T07:39:45.5486305Z 2025-09-07T07:39:45.5486416Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5486805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5487132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5487220Z return mod(*inputs) 2025-09-07T07:39:45.5487589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5487690Z x = self.forward_features(x) 2025-09-07T07:39:45.5488136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5488285Z x = self.blocks(x) 2025-09-07T07:39:45.5488671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5488769Z x = self.conv_dw(x) 2025-09-07T07:39:45.5489104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5489266Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5489662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5499025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5499049Z 2025-09-07T07:39:45.5499207Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5499355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5499655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5499899Z return mod(*inputs) 2025-09-07T07:39:45.5500243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5500328Z x = self.forward_features(x) 2025-09-07T07:39:45.5500693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5500771Z x = self.blocks(x) 2025-09-07T07:39:45.5501127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5501202Z x = self.conv_dw(x) 2025-09-07T07:39:45.5501523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5501661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5501998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5502236Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5502241Z 2025-09-07T07:39:45.5502345Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5502480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5502770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5502849Z return mod(*inputs) 2025-09-07T07:39:45.5503176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5503263Z x = self.forward_features(x) 2025-09-07T07:39:45.5503629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5503706Z x = self.blocks(x) 2025-09-07T07:39:45.5504059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5504139Z x = self.conv_dw(x) 2025-09-07T07:39:45.5504462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5504597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5504928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5505061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5505065Z 2025-09-07T07:39:45.5505238Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5505378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5505666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5505747Z return mod(*inputs) 2025-09-07T07:39:45.5506073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5506170Z x = self.forward_features(x) 2025-09-07T07:39:45.5506536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5506609Z x = self.blocks(x) 2025-09-07T07:39:45.5506965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5507039Z x = self.conv_dw(x) 2025-09-07T07:39:45.5507358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5507496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5507824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5507962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5507966Z 2025-09-07T07:39:45.5508068Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5508327Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5508429Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5508522Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5508661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5508947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5509024Z return mod(*inputs) 2025-09-07T07:39:45.5509349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5509434Z x = self.forward_features(x) 2025-09-07T07:39:45.5509804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5509876Z x = self.blocks(x) 2025-09-07T07:39:45.5510240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5510475Z x = self.conv_dw(x) 2025-09-07T07:39:45.5510796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5510876Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5510880Z 2025-09-07T07:39:45.5511014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5511304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5511378Z return mod(*inputs) 2025-09-07T07:39:45.5511703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5511790Z x = self.forward_features(x) 2025-09-07T07:39:45.5512152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5512229Z x = self.blocks(x) 2025-09-07T07:39:45.5512586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5512662Z x = self.bn2(x) 2025-09-07T07:39:45.5512968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5513038Z x = F.batch_norm( 2025-09-07T07:39:45.5513043Z 2025-09-07T07:39:45.5513182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5513468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5513545Z return mod(*inputs) 2025-09-07T07:39:45.5513869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5513952Z x = self.forward_features(x) 2025-09-07T07:39:45.5514319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5514392Z x = self.blocks(x) 2025-09-07T07:39:45.5514756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5514825Z x = self.bn2(x) 2025-09-07T07:39:45.5515129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5515202Z x = self.act(x) 2025-09-07T07:39:45.5515206Z 2025-09-07T07:39:45.5515338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5515627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5515700Z return mod(*inputs) 2025-09-07T07:39:45.5516024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5516111Z x = self.forward_features(x) 2025-09-07T07:39:45.5516472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5516645Z x = self.blocks(x) 2025-09-07T07:39:45.5517008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5517080Z x = self.se(x) 2025-09-07T07:39:45.5517429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5517514Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5517519Z 2025-09-07T07:39:45.5517657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5517942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5518021Z return mod(*inputs) 2025-09-07T07:39:45.5518348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5518433Z x = self.forward_features(x) 2025-09-07T07:39:45.5518803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5518957Z x = self.blocks(x) 2025-09-07T07:39:45.5519312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5519381Z x = self.se(x) 2025-09-07T07:39:45.5519728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5519810Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5519815Z 2025-09-07T07:39:45.5519950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5520240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5520315Z return mod(*inputs) 2025-09-07T07:39:45.5520638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5520726Z x = self.forward_features(x) 2025-09-07T07:39:45.5521094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5521171Z x = self.blocks(x) 2025-09-07T07:39:45.5521520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5521591Z x = self.se(x) 2025-09-07T07:39:45.5521940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5522025Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5522029Z 2025-09-07T07:39:45.5522130Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5522265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5522553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5522628Z return mod(*inputs) 2025-09-07T07:39:45.5522962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5523049Z x = self.forward_features(x) 2025-09-07T07:39:45.5523410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5523484Z x = self.blocks(x) 2025-09-07T07:39:45.5523834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5523910Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5524231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5524367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5524700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5524834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5524924Z 2025-09-07T07:39:45.5525031Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5525167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5525454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5525530Z return mod(*inputs) 2025-09-07T07:39:45.5525855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5525944Z x = self.forward_features(x) 2025-09-07T07:39:45.5526306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5526379Z x = self.blocks(x) 2025-09-07T07:39:45.5526735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5526810Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5527221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5527358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5527687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5527825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5527829Z 2025-09-07T07:39:45.5527925Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5528025Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5528158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5528445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5528523Z return mod(*inputs) 2025-09-07T07:39:45.5528848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5528945Z x = self.forward_features(x) 2025-09-07T07:39:45.5529306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5529380Z x = self.blocks(x) 2025-09-07T07:39:45.5529734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5529810Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5530131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5530209Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5530213Z 2025-09-07T07:39:45.5530348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5530633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5530706Z return mod(*inputs) 2025-09-07T07:39:45.5531036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5531126Z x = self.forward_features(x) 2025-09-07T07:39:45.5531492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5531567Z x = self.blocks(x) 2025-09-07T07:39:45.5531922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5532010Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5532015Z 2025-09-07T07:39:45.5532149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5532439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5532513Z return mod(*inputs) 2025-09-07T07:39:45.5532838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5532925Z x = self.forward_features(x) 2025-09-07T07:39:45.5533373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5533452Z x = self.blocks(x) 2025-09-07T07:39:45.5533803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5533880Z x = self.conv_pw(x) 2025-09-07T07:39:45.5534198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5534334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5534667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5534801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5534806Z 2025-09-07T07:39:45.5534942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5535315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5535391Z return mod(*inputs) 2025-09-07T07:39:45.5535719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5535803Z x = self.forward_features(x) 2025-09-07T07:39:45.5536169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5536242Z x = self.blocks(x) 2025-09-07T07:39:45.5536594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5536671Z x = self.conv_pw(x) 2025-09-07T07:39:45.5536987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5537126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5537464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5537600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5537604Z 2025-09-07T07:39:45.5537702Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5537797Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5537932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5538220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5538298Z return mod(*inputs) 2025-09-07T07:39:45.5538622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5538707Z x = self.forward_features(x) 2025-09-07T07:39:45.5539073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5539145Z x = self.blocks(x) 2025-09-07T07:39:45.5539506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5539580Z x = self.conv_pw(x) 2025-09-07T07:39:45.5539899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5539980Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5539985Z 2025-09-07T07:39:45.5540118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5540406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5540480Z return mod(*inputs) 2025-09-07T07:39:45.5540809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5540893Z x = self.forward_features(x) 2025-09-07T07:39:45.5541254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5541446Z x = self.blocks(x) 2025-09-07T07:39:45.5541806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5541878Z x = self.bn1(x) 2025-09-07T07:39:45.5542184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5542255Z x = F.batch_norm( 2025-09-07T07:39:45.5542259Z 2025-09-07T07:39:45.5542398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5542684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5542762Z return mod(*inputs) 2025-09-07T07:39:45.5543086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5543171Z x = self.forward_features(x) 2025-09-07T07:39:45.5543540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5543710Z x = self.blocks(x) 2025-09-07T07:39:45.5544066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5544135Z x = self.bn1(x) 2025-09-07T07:39:45.5544441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5544513Z x = self.act(x) 2025-09-07T07:39:45.5544517Z 2025-09-07T07:39:45.5544614Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5544753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5545038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5545113Z return mod(*inputs) 2025-09-07T07:39:45.5545443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5545536Z x = self.forward_features(x) 2025-09-07T07:39:45.5545906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5545978Z x = self.blocks(x) 2025-09-07T07:39:45.5546332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5546406Z x = self.conv_dw(x) 2025-09-07T07:39:45.5546725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5546864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5547192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5547330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5547335Z 2025-09-07T07:39:45.5547431Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5547572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5547862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5547936Z return mod(*inputs) 2025-09-07T07:39:45.5548262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5548346Z x = self.forward_features(x) 2025-09-07T07:39:45.5548709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5548787Z x = self.blocks(x) 2025-09-07T07:39:45.5549139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5549215Z x = self.conv_dw(x) 2025-09-07T07:39:45.5549532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5549764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5550101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5550238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5550242Z 2025-09-07T07:39:45.5550340Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5550472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5550765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5550839Z return mod(*inputs) 2025-09-07T07:39:45.5551164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5551252Z x = self.forward_features(x) 2025-09-07T07:39:45.5551615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5551778Z x = self.blocks(x) 2025-09-07T07:39:45.5552139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5552211Z x = self.conv_dw(x) 2025-09-07T07:39:45.5552531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5552665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5552995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5553130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5553134Z 2025-09-07T07:39:45.5553230Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5553366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5553653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5553736Z return mod(*inputs) 2025-09-07T07:39:45.5554060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5554144Z x = self.forward_features(x) 2025-09-07T07:39:45.5554507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5554578Z x = self.blocks(x) 2025-09-07T07:39:45.5554932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5555005Z x = self.conv_dw(x) 2025-09-07T07:39:45.5555321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5555458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5555791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5555932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5555936Z 2025-09-07T07:39:45.5556031Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5556137Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5556234Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5556327Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5556462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5556747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5556823Z return mod(*inputs) 2025-09-07T07:39:45.5557148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5557234Z x = self.forward_features(x) 2025-09-07T07:39:45.5557598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5557763Z x = self.blocks(x) 2025-09-07T07:39:45.5558124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5558199Z x = self.conv_dw(x) 2025-09-07T07:39:45.5558519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5558600Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5558605Z 2025-09-07T07:39:45.5558737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5559025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5559099Z return mod(*inputs) 2025-09-07T07:39:45.5559423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5559510Z x = self.forward_features(x) 2025-09-07T07:39:45.5559874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5560028Z x = self.blocks(x) 2025-09-07T07:39:45.5560394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5560462Z x = self.bn2(x) 2025-09-07T07:39:45.5560767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5560837Z x = F.batch_norm( 2025-09-07T07:39:45.5560841Z 2025-09-07T07:39:45.5560976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5561263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5561340Z return mod(*inputs) 2025-09-07T07:39:45.5561664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5561747Z x = self.forward_features(x) 2025-09-07T07:39:45.5562123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5562195Z x = self.blocks(x) 2025-09-07T07:39:45.5562551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5562621Z x = self.bn2(x) 2025-09-07T07:39:45.5562926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5563000Z x = self.act(x) 2025-09-07T07:39:45.5563004Z 2025-09-07T07:39:45.5563138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5563428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5563503Z return mod(*inputs) 2025-09-07T07:39:45.5563829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5563924Z x = self.forward_features(x) 2025-09-07T07:39:45.5564285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5564359Z x = self.blocks(x) 2025-09-07T07:39:45.5564710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5564778Z x = self.se(x) 2025-09-07T07:39:45.5565129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5565213Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5565218Z 2025-09-07T07:39:45.5565354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5565638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5565715Z return mod(*inputs) 2025-09-07T07:39:45.5566130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5566234Z x = self.forward_features(x) 2025-09-07T07:39:45.5566612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5566685Z x = self.blocks(x) 2025-09-07T07:39:45.5567040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5567110Z x = self.se(x) 2025-09-07T07:39:45.5567457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5567538Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5567543Z 2025-09-07T07:39:45.5567676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5567962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5568037Z return mod(*inputs) 2025-09-07T07:39:45.5568456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5568545Z x = self.forward_features(x) 2025-09-07T07:39:45.5568907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5568982Z x = self.blocks(x) 2025-09-07T07:39:45.5569335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5569403Z x = self.se(x) 2025-09-07T07:39:45.5569754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5569838Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5569843Z 2025-09-07T07:39:45.5569941Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5570073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5570367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5570441Z return mod(*inputs) 2025-09-07T07:39:45.5570765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5570852Z x = self.forward_features(x) 2025-09-07T07:39:45.5571214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5571288Z x = self.blocks(x) 2025-09-07T07:39:45.5571638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5571713Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5572032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5572168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5572509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5572645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5572649Z 2025-09-07T07:39:45.5572745Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5572880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5573164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5573240Z return mod(*inputs) 2025-09-07T07:39:45.5573564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5573652Z x = self.forward_features(x) 2025-09-07T07:39:45.5574013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5574086Z x = self.blocks(x) 2025-09-07T07:39:45.5574550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5574636Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5574958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5575092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5575424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5575564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5575569Z 2025-09-07T07:39:45.5575664Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5575761Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5575895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5576180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5576340Z return mod(*inputs) 2025-09-07T07:39:45.5576667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5576753Z x = self.forward_features(x) 2025-09-07T07:39:45.5577115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5577188Z x = self.blocks(x) 2025-09-07T07:39:45.5577544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5577620Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5577940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5578018Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5578022Z 2025-09-07T07:39:45.5578158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5578446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5578524Z return mod(*inputs) 2025-09-07T07:39:45.5578851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5578936Z x = self.forward_features(x) 2025-09-07T07:39:45.5579300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5579372Z x = self.blocks(x) 2025-09-07T07:39:45.5579722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5579810Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5579814Z 2025-09-07T07:39:45.5579948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5580235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5580309Z return mod(*inputs) 2025-09-07T07:39:45.5580642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5580730Z x = self.forward_features(x) 2025-09-07T07:39:45.5581094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5581168Z x = self.blocks(x) 2025-09-07T07:39:45.5581523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5581597Z x = self.conv_pw(x) 2025-09-07T07:39:45.5581916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5582052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5582385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5582607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5582616Z 2025-09-07T07:39:45.5582758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5583046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5583120Z return mod(*inputs) 2025-09-07T07:39:45.5583447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5583532Z x = self.forward_features(x) 2025-09-07T07:39:45.5583896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5583968Z x = self.blocks(x) 2025-09-07T07:39:45.5584318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5584394Z x = self.conv_pw(x) 2025-09-07T07:39:45.5584714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5584933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5585276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5585412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5585417Z 2025-09-07T07:39:45.5585514Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5585609Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5585745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5586030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5586107Z return mod(*inputs) 2025-09-07T07:39:45.5586433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5586518Z x = self.forward_features(x) 2025-09-07T07:39:45.5586890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5586963Z x = self.blocks(x) 2025-09-07T07:39:45.5587315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5587389Z x = self.conv_pw(x) 2025-09-07T07:39:45.5587709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5587789Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5587793Z 2025-09-07T07:39:45.5587926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5588213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5588287Z return mod(*inputs) 2025-09-07T07:39:45.5588611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5588706Z x = self.forward_features(x) 2025-09-07T07:39:45.5589072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5589147Z x = self.blocks(x) 2025-09-07T07:39:45.5589498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5589567Z x = self.bn1(x) 2025-09-07T07:39:45.5589874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5589945Z x = F.batch_norm( 2025-09-07T07:39:45.5589949Z 2025-09-07T07:39:45.5590087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5590370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5590449Z return mod(*inputs) 2025-09-07T07:39:45.5590863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5590956Z x = self.forward_features(x) 2025-09-07T07:39:45.5591322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5591394Z x = self.blocks(x) 2025-09-07T07:39:45.5591748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5591819Z x = self.bn1(x) 2025-09-07T07:39:45.5592123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5592196Z x = self.act(x) 2025-09-07T07:39:45.5592200Z 2025-09-07T07:39:45.5592298Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5592437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5592725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5592928Z return mod(*inputs) 2025-09-07T07:39:45.5593257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5593341Z x = self.forward_features(x) 2025-09-07T07:39:45.5593706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5593777Z x = self.blocks(x) 2025-09-07T07:39:45.5594128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5594204Z x = self.conv_dw(x) 2025-09-07T07:39:45.5594522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5594663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5594993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5595137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5595142Z 2025-09-07T07:39:45.5595238Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5595372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5595659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5595734Z return mod(*inputs) 2025-09-07T07:39:45.5596062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5596147Z x = self.forward_features(x) 2025-09-07T07:39:45.5596509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5596584Z x = self.blocks(x) 2025-09-07T07:39:45.5596935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5597018Z x = self.conv_dw(x) 2025-09-07T07:39:45.5597337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5597472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5597805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5597938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5597943Z 2025-09-07T07:39:45.5598041Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5598175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5598465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5598538Z return mod(*inputs) 2025-09-07T07:39:45.5598864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5599046Z x = self.forward_features(x) 2025-09-07T07:39:45.5599412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5599487Z x = self.blocks(x) 2025-09-07T07:39:45.5599841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5599915Z x = self.conv_dw(x) 2025-09-07T07:39:45.5600236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5600372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5600704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5600838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5600842Z 2025-09-07T07:39:45.5600939Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5601186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5601475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5601553Z return mod(*inputs) 2025-09-07T07:39:45.5601879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5601966Z x = self.forward_features(x) 2025-09-07T07:39:45.5602330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5602403Z x = self.blocks(x) 2025-09-07T07:39:45.5602758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5602832Z x = self.conv_dw(x) 2025-09-07T07:39:45.5603151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5603292Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5603622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5603760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5603765Z 2025-09-07T07:39:45.5603862Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5603959Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5604053Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5604146Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5604281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5604566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5604643Z return mod(*inputs) 2025-09-07T07:39:45.5604969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5605062Z x = self.forward_features(x) 2025-09-07T07:39:45.5605507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5605581Z x = self.blocks(x) 2025-09-07T07:39:45.5605940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5606014Z x = self.conv_dw(x) 2025-09-07T07:39:45.5606331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5606412Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5606417Z 2025-09-07T07:39:45.5606549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5606838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5606912Z return mod(*inputs) 2025-09-07T07:39:45.5607399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5607518Z x = self.forward_features(x) 2025-09-07T07:39:45.5607883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5607959Z x = self.blocks(x) 2025-09-07T07:39:45.5608312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5608383Z x = self.bn2(x) 2025-09-07T07:39:45.5608688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5608760Z x = F.batch_norm( 2025-09-07T07:39:45.5608764Z 2025-09-07T07:39:45.5608903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5609188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5609265Z return mod(*inputs) 2025-09-07T07:39:45.5609724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5609810Z x = self.forward_features(x) 2025-09-07T07:39:45.5610174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5610248Z x = self.blocks(x) 2025-09-07T07:39:45.5610602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:39:45.5610672Z x = self.bn2(x) 2025-09-07T07:39:45.5610976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5611048Z x = self.act(x) 2025-09-07T07:39:45.5611053Z 2025-09-07T07:39:45.5611186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5611476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5611557Z return mod(*inputs) 2025-09-07T07:39:45.5611885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5611968Z x = self.forward_features(x) 2025-09-07T07:39:45.5612329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5612405Z x = self.blocks(x) 2025-09-07T07:39:45.5612757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5612827Z x = self.se(x) 2025-09-07T07:39:45.5613174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5613257Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5613262Z 2025-09-07T07:39:45.5613397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5613685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5613768Z return mod(*inputs) 2025-09-07T07:39:45.5614093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5614177Z x = self.forward_features(x) 2025-09-07T07:39:45.5614542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5614614Z x = self.blocks(x) 2025-09-07T07:39:45.5614969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5615037Z x = self.se(x) 2025-09-07T07:39:45.5615385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5615467Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5615473Z 2025-09-07T07:39:45.5615607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5615990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5616097Z return mod(*inputs) 2025-09-07T07:39:45.5616423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5616507Z x = self.forward_features(x) 2025-09-07T07:39:45.5616872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5616947Z x = self.blocks(x) 2025-09-07T07:39:45.5617298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5617368Z x = self.se(x) 2025-09-07T07:39:45.5617717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5617802Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5617891Z 2025-09-07T07:39:45.5617997Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5618130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5618419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5618494Z return mod(*inputs) 2025-09-07T07:39:45.5618823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5618911Z x = self.forward_features(x) 2025-09-07T07:39:45.5619276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5619351Z x = self.blocks(x) 2025-09-07T07:39:45.5619704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5619779Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5620104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5620244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5620578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5620714Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5620718Z 2025-09-07T07:39:45.5620818Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5620952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5621237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5621316Z return mod(*inputs) 2025-09-07T07:39:45.5621641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5621728Z x = self.forward_features(x) 2025-09-07T07:39:45.5622094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5622170Z x = self.blocks(x) 2025-09-07T07:39:45.5622525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5622601Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5622921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5623054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5623384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5623521Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5623526Z 2025-09-07T07:39:45.5623622Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5623720Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5623952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5624250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5624330Z return mod(*inputs) 2025-09-07T07:39:45.5624655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5624741Z x = self.forward_features(x) 2025-09-07T07:39:45.5625103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5625178Z x = self.blocks(x) 2025-09-07T07:39:45.5625531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5625607Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5625925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5626002Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5626085Z 2025-09-07T07:39:45.5626225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5626508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5626583Z return mod(*inputs) 2025-09-07T07:39:45.5626913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5626998Z x = self.forward_features(x) 2025-09-07T07:39:45.5627359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5627431Z x = self.blocks(x) 2025-09-07T07:39:45.5627784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5627871Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5627876Z 2025-09-07T07:39:45.5628009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5628306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5628381Z return mod(*inputs) 2025-09-07T07:39:45.5628708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5628792Z x = self.forward_features(x) 2025-09-07T07:39:45.5629153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5629235Z x = self.blocks(x) 2025-09-07T07:39:45.5629588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5629664Z x = self.conv_pw(x) 2025-09-07T07:39:45.5629669Z 2025-09-07T07:39:45.5629802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5630086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5630173Z return mod(*inputs) 2025-09-07T07:39:45.5630500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5630588Z x = self.forward_features(x) 2025-09-07T07:39:45.5630949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5631022Z x = self.blocks(x) 2025-09-07T07:39:45.5631380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5631449Z x = self.bn1(x) 2025-09-07T07:39:45.5631757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5631828Z x = F.batch_norm( 2025-09-07T07:39:45.5631832Z 2025-09-07T07:39:45.5631969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5632341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5632462Z return mod(*inputs) 2025-09-07T07:39:45.5632796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5632882Z x = self.forward_features(x) 2025-09-07T07:39:45.5633248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5633322Z x = self.blocks(x) 2025-09-07T07:39:45.5633673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5633745Z x = self.bn1(x) 2025-09-07T07:39:45.5634046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5634117Z x = self.act(x) 2025-09-07T07:39:45.5634122Z 2025-09-07T07:39:45.5634220Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5634469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5634760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5634834Z return mod(*inputs) 2025-09-07T07:39:45.5635163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5635248Z x = self.forward_features(x) 2025-09-07T07:39:45.5635610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5635686Z x = self.blocks(x) 2025-09-07T07:39:45.5636039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5636117Z x = self.conv_dw(x) 2025-09-07T07:39:45.5636435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5636578Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5636913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5637048Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5637053Z 2025-09-07T07:39:45.5637152Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5637285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5637580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5637655Z return mod(*inputs) 2025-09-07T07:39:45.5637983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5638073Z x = self.forward_features(x) 2025-09-07T07:39:45.5638437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5638519Z x = self.blocks(x) 2025-09-07T07:39:45.5638873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5638946Z x = self.conv_dw(x) 2025-09-07T07:39:45.5639268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5639405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5639738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5639873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5639877Z 2025-09-07T07:39:45.5639977Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5640110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5640396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5640569Z return mod(*inputs) 2025-09-07T07:39:45.5640905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5640991Z x = self.forward_features(x) 2025-09-07T07:39:45.5641356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5641429Z x = self.blocks(x) 2025-09-07T07:39:45.5641782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5641856Z x = self.conv_dw(x) 2025-09-07T07:39:45.5642175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5642310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5642639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5642862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5642867Z 2025-09-07T07:39:45.5642966Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5643103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5643388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5643462Z return mod(*inputs) 2025-09-07T07:39:45.5643790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5643875Z x = self.forward_features(x) 2025-09-07T07:39:45.5644237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5644310Z x = self.blocks(x) 2025-09-07T07:39:45.5644663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5644743Z x = self.conv_dw(x) 2025-09-07T07:39:45.5645060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5645198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5645528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5645667Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5645671Z 2025-09-07T07:39:45.5645767Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5645862Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5645959Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5646052Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5646189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5646476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5646558Z return mod(*inputs) 2025-09-07T07:39:45.5646890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5646974Z x = self.forward_features(x) 2025-09-07T07:39:45.5647340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5647413Z x = self.blocks(x) 2025-09-07T07:39:45.5647765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5647841Z x = self.conv_dw(x) 2025-09-07T07:39:45.5648157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5648237Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5648241Z 2025-09-07T07:39:45.5648337Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5648470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5648854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5648936Z return mod(*inputs) 2025-09-07T07:39:45.5649272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5649357Z x = self.forward_features(x) 2025-09-07T07:39:45.5649723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5649795Z x = self.blocks(x) 2025-09-07T07:39:45.5650146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5650216Z x = self.se(x) 2025-09-07T07:39:45.5650564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5650653Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5650737Z 2025-09-07T07:39:45.5650882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5651170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5651247Z return mod(*inputs) 2025-09-07T07:39:45.5651570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5651657Z x = self.forward_features(x) 2025-09-07T07:39:45.5652016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5652089Z x = self.blocks(x) 2025-09-07T07:39:45.5652444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5652512Z x = self.se(x) 2025-09-07T07:39:45.5652863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5652956Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5652961Z 2025-09-07T07:39:45.5653100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5653387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5653461Z return mod(*inputs) 2025-09-07T07:39:45.5653790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5653874Z x = self.forward_features(x) 2025-09-07T07:39:45.5654238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5654310Z x = self.blocks(x) 2025-09-07T07:39:45.5654663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5654735Z x = self.se(x) 2025-09-07T07:39:45.5655087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5655174Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5655179Z 2025-09-07T07:39:45.5655312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5655598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5655678Z return mod(*inputs) 2025-09-07T07:39:45.5656003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5656090Z x = self.forward_features(x) 2025-09-07T07:39:45.5656453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5656525Z x = self.blocks(x) 2025-09-07T07:39:45.5656881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5656954Z x = self.se(x) 2025-09-07T07:39:45.5657402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5657494Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5657498Z 2025-09-07T07:39:45.5657643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5657929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5658003Z return mod(*inputs) 2025-09-07T07:39:45.5658332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5658417Z x = self.forward_features(x) 2025-09-07T07:39:45.5658780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5658853Z x = self.blocks(x) 2025-09-07T07:39:45.5659207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5659358Z x = self.se(x) 2025-09-07T07:39:45.5659707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5659793Z return x * self.gate(x_se) 2025-09-07T07:39:45.5659798Z 2025-09-07T07:39:45.5659932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5660217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5660294Z return mod(*inputs) 2025-09-07T07:39:45.5660618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5660705Z x = self.forward_features(x) 2025-09-07T07:39:45.5661064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5661138Z x = self.blocks(x) 2025-09-07T07:39:45.5661500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5661568Z x = self.se(x) 2025-09-07T07:39:45.5661920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5662003Z return x * self.gate(x_se) 2025-09-07T07:39:45.5662007Z 2025-09-07T07:39:45.5662144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5662430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5662504Z return mod(*inputs) 2025-09-07T07:39:45.5662836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5662924Z x = self.forward_features(x) 2025-09-07T07:39:45.5663290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5663372Z x = self.blocks(x) 2025-09-07T07:39:45.5663723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5663802Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5663807Z 2025-09-07T07:39:45.5663939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5664228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5664303Z return mod(*inputs) 2025-09-07T07:39:45.5664631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5664722Z x = self.forward_features(x) 2025-09-07T07:39:45.5665083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5665158Z x = self.blocks(x) 2025-09-07T07:39:45.5665618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:39:45.5665726Z x = self.bn3(x) 2025-09-07T07:39:45.5666031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5666102Z x = F.batch_norm( 2025-09-07T07:39:45.5666107Z 2025-09-07T07:39:45.5666243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5666529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5666606Z return mod(*inputs) 2025-09-07T07:39:45.5666931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5667015Z x = self.forward_features(x) 2025-09-07T07:39:45.5667380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5667453Z x = self.blocks(x) 2025-09-07T07:39:45.5667902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5667976Z x = self.conv_pw(x) 2025-09-07T07:39:45.5667980Z 2025-09-07T07:39:45.5668113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5668403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5668477Z return mod(*inputs) 2025-09-07T07:39:45.5668807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5668892Z x = self.forward_features(x) 2025-09-07T07:39:45.5669254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5669330Z x = self.blocks(x) 2025-09-07T07:39:45.5669683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5669764Z x = self.bn1(x) 2025-09-07T07:39:45.5670067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5670140Z x = F.batch_norm( 2025-09-07T07:39:45.5670144Z 2025-09-07T07:39:45.5670277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5670562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5670639Z return mod(*inputs) 2025-09-07T07:39:45.5670964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5671050Z x = self.forward_features(x) 2025-09-07T07:39:45.5671410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5671482Z x = self.blocks(x) 2025-09-07T07:39:45.5671842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5671915Z x = self.bn1(x) 2025-09-07T07:39:45.5672222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5672292Z x = self.act(x) 2025-09-07T07:39:45.5672296Z 2025-09-07T07:39:45.5672391Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5672528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5672815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5672892Z return mod(*inputs) 2025-09-07T07:39:45.5673217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5673302Z x = self.forward_features(x) 2025-09-07T07:39:45.5673668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5673833Z x = self.blocks(x) 2025-09-07T07:39:45.5674199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5674272Z x = self.conv_dw(x) 2025-09-07T07:39:45.5674590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5674729Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5675058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5675198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5675202Z 2025-09-07T07:39:45.5675299Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5675436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5675721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5675883Z return mod(*inputs) 2025-09-07T07:39:45.5676212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5676298Z x = self.forward_features(x) 2025-09-07T07:39:45.5676662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5676734Z x = self.blocks(x) 2025-09-07T07:39:45.5677086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5677163Z x = self.conv_dw(x) 2025-09-07T07:39:45.5677481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5677619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5677947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5678090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5678097Z 2025-09-07T07:39:45.5678193Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5678326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5678613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5678686Z return mod(*inputs) 2025-09-07T07:39:45.5679012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5679097Z x = self.forward_features(x) 2025-09-07T07:39:45.5679458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5679532Z x = self.blocks(x) 2025-09-07T07:39:45.5679884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5679967Z x = self.conv_dw(x) 2025-09-07T07:39:45.5680284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5680419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5680750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5680884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5680889Z 2025-09-07T07:39:45.5680986Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5681121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5681405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5681483Z return mod(*inputs) 2025-09-07T07:39:45.5681806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5681985Z x = self.forward_features(x) 2025-09-07T07:39:45.5682353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5682429Z x = self.blocks(x) 2025-09-07T07:39:45.5682783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5682857Z x = self.conv_dw(x) 2025-09-07T07:39:45.5683177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5683314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5683646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5683778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5683783Z 2025-09-07T07:39:45.5683880Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5684065Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5684159Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5684255Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5684388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5684674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5684753Z return mod(*inputs) 2025-09-07T07:39:45.5685079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5685167Z x = self.forward_features(x) 2025-09-07T07:39:45.5685528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5685599Z x = self.blocks(x) 2025-09-07T07:39:45.5685955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5686037Z x = self.conv_dw(x) 2025-09-07T07:39:45.5686356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5686434Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5686439Z 2025-09-07T07:39:45.5686536Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5686670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5686953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5687031Z return mod(*inputs) 2025-09-07T07:39:45.5687356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5687443Z x = self.forward_features(x) 2025-09-07T07:39:45.5687804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5687880Z x = self.blocks(x) 2025-09-07T07:39:45.5688238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5688308Z x = self.se(x) 2025-09-07T07:39:45.5688657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5688743Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5688747Z 2025-09-07T07:39:45.5688881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5689171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5689245Z return mod(*inputs) 2025-09-07T07:39:45.5689573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5689656Z x = self.forward_features(x) 2025-09-07T07:39:45.5690108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5690224Z x = self.blocks(x) 2025-09-07T07:39:45.5690576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5690646Z x = self.se(x) 2025-09-07T07:39:45.5690995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5691081Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5691088Z 2025-09-07T07:39:45.5691224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5691508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5691585Z return mod(*inputs) 2025-09-07T07:39:45.5691909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5691996Z x = self.forward_features(x) 2025-09-07T07:39:45.5692445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5692518Z x = self.blocks(x) 2025-09-07T07:39:45.5692874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5692942Z x = self.se(x) 2025-09-07T07:39:45.5693293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5693373Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5693378Z 2025-09-07T07:39:45.5693512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5693800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5693874Z return mod(*inputs) 2025-09-07T07:39:45.5694201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5694293Z x = self.forward_features(x) 2025-09-07T07:39:45.5694653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5694729Z x = self.blocks(x) 2025-09-07T07:39:45.5695082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5695154Z x = self.se(x) 2025-09-07T07:39:45.5695501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5695589Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5695594Z 2025-09-07T07:39:45.5695728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5696012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5696090Z return mod(*inputs) 2025-09-07T07:39:45.5696417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5696510Z x = self.forward_features(x) 2025-09-07T07:39:45.5696869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5696942Z x = self.blocks(x) 2025-09-07T07:39:45.5697297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5697365Z x = self.se(x) 2025-09-07T07:39:45.5697716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5697800Z return x * self.gate(x_se) 2025-09-07T07:39:45.5697804Z 2025-09-07T07:39:45.5697939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5698230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5698305Z return mod(*inputs) 2025-09-07T07:39:45.5698753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5698840Z x = self.forward_features(x) 2025-09-07T07:39:45.5699202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5699278Z x = self.blocks(x) 2025-09-07T07:39:45.5699628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5699699Z x = self.se(x) 2025-09-07T07:39:45.5700046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5700129Z return x * self.gate(x_se) 2025-09-07T07:39:45.5700134Z 2025-09-07T07:39:45.5700231Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5700368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5700761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5700836Z return mod(*inputs) 2025-09-07T07:39:45.5701165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5701250Z x = self.forward_features(x) 2025-09-07T07:39:45.5701610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5701685Z x = self.blocks(x) 2025-09-07T07:39:45.5702038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5702127Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5702445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5702580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5702922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5703059Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5703064Z 2025-09-07T07:39:45.5703162Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5703297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5703586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5703663Z return mod(*inputs) 2025-09-07T07:39:45.5703987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5704076Z x = self.forward_features(x) 2025-09-07T07:39:45.5704438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5704512Z x = self.blocks(x) 2025-09-07T07:39:45.5704868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5704947Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5705387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5705525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5705859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5705994Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5705999Z 2025-09-07T07:39:45.5706094Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5706190Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5706326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5706612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5706691Z return mod(*inputs) 2025-09-07T07:39:45.5707178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5707293Z x = self.forward_features(x) 2025-09-07T07:39:45.5707658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5707735Z x = self.blocks(x) 2025-09-07T07:39:45.5708086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5708165Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5708481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5708559Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5708563Z 2025-09-07T07:39:45.5708699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5708988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5709181Z return mod(*inputs) 2025-09-07T07:39:45.5709509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5709596Z x = self.forward_features(x) 2025-09-07T07:39:45.5709961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5710033Z x = self.blocks(x) 2025-09-07T07:39:45.5710386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5710470Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5710475Z 2025-09-07T07:39:45.5710609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5710894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5710969Z return mod(*inputs) 2025-09-07T07:39:45.5711305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5711389Z x = self.forward_features(x) 2025-09-07T07:39:45.5711753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5711828Z x = self.blocks(x) 2025-09-07T07:39:45.5712181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5712257Z x = self.conv_pw(x) 2025-09-07T07:39:45.5712261Z 2025-09-07T07:39:45.5712396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5712683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5712756Z return mod(*inputs) 2025-09-07T07:39:45.5713081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5713175Z x = self.forward_features(x) 2025-09-07T07:39:45.5713536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5713610Z x = self.blocks(x) 2025-09-07T07:39:45.5713961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5714029Z x = self.bn1(x) 2025-09-07T07:39:45.5714337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5714407Z x = F.batch_norm( 2025-09-07T07:39:45.5714412Z 2025-09-07T07:39:45.5714547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5714832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5714905Z return mod(*inputs) 2025-09-07T07:39:45.5715324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5715416Z x = self.forward_features(x) 2025-09-07T07:39:45.5715781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5715853Z x = self.blocks(x) 2025-09-07T07:39:45.5716209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5716279Z x = self.bn1(x) 2025-09-07T07:39:45.5716582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5716653Z x = self.act(x) 2025-09-07T07:39:45.5716658Z 2025-09-07T07:39:45.5716755Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5716892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5717179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5717347Z return mod(*inputs) 2025-09-07T07:39:45.5717679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5717764Z x = self.forward_features(x) 2025-09-07T07:39:45.5718131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5718205Z x = self.blocks(x) 2025-09-07T07:39:45.5718557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5718635Z x = self.conv_dw(x) 2025-09-07T07:39:45.5718954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5719095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5719421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5719566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5719573Z 2025-09-07T07:39:45.5719671Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5719805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5720094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5720168Z return mod(*inputs) 2025-09-07T07:39:45.5720495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5720580Z x = self.forward_features(x) 2025-09-07T07:39:45.5720942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5721016Z x = self.blocks(x) 2025-09-07T07:39:45.5721366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5721450Z x = self.conv_dw(x) 2025-09-07T07:39:45.5721767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5721904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5722237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5722373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5722378Z 2025-09-07T07:39:45.5722478Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5722612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5722902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5722981Z return mod(*inputs) 2025-09-07T07:39:45.5723306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5723533Z x = self.forward_features(x) 2025-09-07T07:39:45.5723907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5723979Z x = self.blocks(x) 2025-09-07T07:39:45.5724332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5724406Z x = self.conv_dw(x) 2025-09-07T07:39:45.5724727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5724861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5725195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5725332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5725337Z 2025-09-07T07:39:45.5725433Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5725688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5725976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5726054Z return mod(*inputs) 2025-09-07T07:39:45.5726379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5726465Z x = self.forward_features(x) 2025-09-07T07:39:45.5726829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5726902Z x = self.blocks(x) 2025-09-07T07:39:45.5727255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5727329Z x = self.conv_dw(x) 2025-09-07T07:39:45.5727647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5727794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5728125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5728261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5728266Z 2025-09-07T07:39:45.5728362Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5728460Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5728554Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5728647Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5728783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5729070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5729148Z return mod(*inputs) 2025-09-07T07:39:45.5729474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5729565Z x = self.forward_features(x) 2025-09-07T07:39:45.5729931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5730002Z x = self.blocks(x) 2025-09-07T07:39:45.5730357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5730430Z x = self.conv_dw(x) 2025-09-07T07:39:45.5730748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5730829Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5730834Z 2025-09-07T07:39:45.5730930Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5731068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5731353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5731427Z return mod(*inputs) 2025-09-07T07:39:45.5731845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5731933Z x = self.forward_features(x) 2025-09-07T07:39:45.5732298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5732369Z x = self.blocks(x) 2025-09-07T07:39:45.5732723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5732795Z x = self.se(x) 2025-09-07T07:39:45.5733141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5733229Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5733234Z 2025-09-07T07:39:45.5733368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5733657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5733820Z return mod(*inputs) 2025-09-07T07:39:45.5734144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5734231Z x = self.forward_features(x) 2025-09-07T07:39:45.5734593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5734667Z x = self.blocks(x) 2025-09-07T07:39:45.5735015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5735082Z x = self.se(x) 2025-09-07T07:39:45.5735431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5735515Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5735520Z 2025-09-07T07:39:45.5735657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5735948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5736022Z return mod(*inputs) 2025-09-07T07:39:45.5736348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5736433Z x = self.forward_features(x) 2025-09-07T07:39:45.5736796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5736869Z x = self.blocks(x) 2025-09-07T07:39:45.5737219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5737290Z x = self.se(x) 2025-09-07T07:39:45.5737635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5737714Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5737719Z 2025-09-07T07:39:45.5737860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5738145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5738219Z return mod(*inputs) 2025-09-07T07:39:45.5738543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5738631Z x = self.forward_features(x) 2025-09-07T07:39:45.5738992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5739067Z x = self.blocks(x) 2025-09-07T07:39:45.5739418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5739484Z x = self.se(x) 2025-09-07T07:39:45.5739835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5739926Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5740017Z 2025-09-07T07:39:45.5740162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5740456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5740531Z return mod(*inputs) 2025-09-07T07:39:45.5740860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5740944Z x = self.forward_features(x) 2025-09-07T07:39:45.5741309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5741381Z x = self.blocks(x) 2025-09-07T07:39:45.5741737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5741805Z x = self.se(x) 2025-09-07T07:39:45.5742158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5742326Z return x * self.gate(x_se) 2025-09-07T07:39:45.5742330Z 2025-09-07T07:39:45.5742465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5742753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5742829Z return mod(*inputs) 2025-09-07T07:39:45.5743156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5743245Z x = self.forward_features(x) 2025-09-07T07:39:45.5743605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5743681Z x = self.blocks(x) 2025-09-07T07:39:45.5744030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5744098Z x = self.se(x) 2025-09-07T07:39:45.5744457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5744539Z return x * self.gate(x_se) 2025-09-07T07:39:45.5744543Z 2025-09-07T07:39:45.5744643Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5744778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5745064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5745141Z return mod(*inputs) 2025-09-07T07:39:45.5745465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5745553Z x = self.forward_features(x) 2025-09-07T07:39:45.5745913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5745988Z x = self.blocks(x) 2025-09-07T07:39:45.5746345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5746426Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5746746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5746882Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5747213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5747349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5747354Z 2025-09-07T07:39:45.5747449Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5747585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5747868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5747945Z return mod(*inputs) 2025-09-07T07:39:45.5748359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5748456Z x = self.forward_features(x) 2025-09-07T07:39:45.5748824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5748897Z x = self.blocks(x) 2025-09-07T07:39:45.5749253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5749328Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5749646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5749788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5750115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5750254Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5750335Z 2025-09-07T07:39:45.5750438Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5750538Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5750671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5750958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5751036Z return mod(*inputs) 2025-09-07T07:39:45.5751361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5751449Z x = self.forward_features(x) 2025-09-07T07:39:45.5751812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5751885Z x = self.blocks(x) 2025-09-07T07:39:45.5752238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5752314Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5752643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5752721Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5752725Z 2025-09-07T07:39:45.5752859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5753146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5753221Z return mod(*inputs) 2025-09-07T07:39:45.5753548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5753634Z x = self.forward_features(x) 2025-09-07T07:39:45.5753997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5754070Z x = self.blocks(x) 2025-09-07T07:39:45.5754423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5754517Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5754522Z 2025-09-07T07:39:45.5754655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5754943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5755019Z return mod(*inputs) 2025-09-07T07:39:45.5755344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5755433Z x = self.forward_features(x) 2025-09-07T07:39:45.5755793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5755868Z x = self.blocks(x) 2025-09-07T07:39:45.5756218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:39:45.5756293Z x = self.conv_pw(x) 2025-09-07T07:39:45.5756301Z 2025-09-07T07:39:45.5756530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5756823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5756903Z return mod(*inputs) 2025-09-07T07:39:45.5757231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5757316Z x = self.forward_features(x) 2025-09-07T07:39:45.5757682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5757754Z x = self.blocks(x) 2025-09-07T07:39:45.5758111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5758179Z x = self.bn1(x) 2025-09-07T07:39:45.5758484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:39:45.5758660Z x = F.batch_norm( 2025-09-07T07:39:45.5758669Z 2025-09-07T07:39:45.5758804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5759095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5759170Z return mod(*inputs) 2025-09-07T07:39:45.5759499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5759583Z x = self.forward_features(x) 2025-09-07T07:39:45.5759945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5760019Z x = self.blocks(x) 2025-09-07T07:39:45.5760370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:39:45.5760441Z x = self.bn1(x) 2025-09-07T07:39:45.5760745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:39:45.5760821Z x = self.act(x) 2025-09-07T07:39:45.5760825Z 2025-09-07T07:39:45.5760924Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5761058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5761345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5761420Z return mod(*inputs) 2025-09-07T07:39:45.5761744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5761834Z x = self.forward_features(x) 2025-09-07T07:39:45.5762195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5762269Z x = self.blocks(x) 2025-09-07T07:39:45.5762619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5762699Z x = self.conv_dw(x) 2025-09-07T07:39:45.5763019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5763157Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5763493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5763628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5763632Z 2025-09-07T07:39:45.5763729Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5763863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5764149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5764227Z return mod(*inputs) 2025-09-07T07:39:45.5764551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5764642Z x = self.forward_features(x) 2025-09-07T07:39:45.5765088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5765196Z x = self.blocks(x) 2025-09-07T07:39:45.5765565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5765639Z x = self.conv_dw(x) 2025-09-07T07:39:45.5765957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5766094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5766426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5766561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5766566Z 2025-09-07T07:39:45.5766662Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5766890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5767176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5767254Z return mod(*inputs) 2025-09-07T07:39:45.5767578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5767663Z x = self.forward_features(x) 2025-09-07T07:39:45.5768029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5768100Z x = self.blocks(x) 2025-09-07T07:39:45.5768454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5768527Z x = self.conv_dw(x) 2025-09-07T07:39:45.5768841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5768988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5769319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5769456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5769461Z 2025-09-07T07:39:45.5769559Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5769696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5769984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5770058Z return mod(*inputs) 2025-09-07T07:39:45.5770387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5770471Z x = self.forward_features(x) 2025-09-07T07:39:45.5770834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5770914Z x = self.blocks(x) 2025-09-07T07:39:45.5771266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5771343Z x = self.conv_dw(x) 2025-09-07T07:39:45.5771660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5771798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5772126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5772261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5772265Z 2025-09-07T07:39:45.5772365Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5772461Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5772559Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5772653Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5772888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5773188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5773263Z return mod(*inputs) 2025-09-07T07:39:45.5773592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5773678Z x = self.forward_features(x) 2025-09-07T07:39:45.5774041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5774116Z x = self.blocks(x) 2025-09-07T07:39:45.5774467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:39:45.5774544Z x = self.conv_dw(x) 2025-09-07T07:39:45.5774860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5775026Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5775034Z 2025-09-07T07:39:45.5775139Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5775273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5775560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5775633Z return mod(*inputs) 2025-09-07T07:39:45.5775961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5776044Z x = self.forward_features(x) 2025-09-07T07:39:45.5776406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5776482Z x = self.blocks(x) 2025-09-07T07:39:45.5776835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5776906Z x = self.se(x) 2025-09-07T07:39:45.5777261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:39:45.5777347Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:39:45.5777351Z 2025-09-07T07:39:45.5777489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5777773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5777850Z return mod(*inputs) 2025-09-07T07:39:45.5778174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5778258Z x = self.forward_features(x) 2025-09-07T07:39:45.5778622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5778694Z x = self.blocks(x) 2025-09-07T07:39:45.5779049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5779124Z x = self.se(x) 2025-09-07T07:39:45.5779475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:39:45.5779560Z x_se = self.conv_reduce(x_se) 2025-09-07T07:39:45.5779565Z 2025-09-07T07:39:45.5779699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5779989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5780063Z return mod(*inputs) 2025-09-07T07:39:45.5780391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5780476Z x = self.forward_features(x) 2025-09-07T07:39:45.5780838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5780914Z x = self.blocks(x) 2025-09-07T07:39:45.5781356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5781438Z x = self.se(x) 2025-09-07T07:39:45.5781786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:39:45.5781864Z x_se = self.act1(x_se) 2025-09-07T07:39:45.5781869Z 2025-09-07T07:39:45.5782006Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5782291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5782368Z return mod(*inputs) 2025-09-07T07:39:45.5782692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5782777Z x = self.forward_features(x) 2025-09-07T07:39:45.5783143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5783301Z x = self.blocks(x) 2025-09-07T07:39:45.5783657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5783725Z x = self.se(x) 2025-09-07T07:39:45.5784080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:39:45.5784167Z x_se = self.conv_expand(x_se) 2025-09-07T07:39:45.5784172Z 2025-09-07T07:39:45.5784306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5784595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5784670Z return mod(*inputs) 2025-09-07T07:39:45.5784998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5785084Z x = self.forward_features(x) 2025-09-07T07:39:45.5785449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5785529Z x = self.blocks(x) 2025-09-07T07:39:45.5785880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5785950Z x = self.se(x) 2025-09-07T07:39:45.5786296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5786378Z return x * self.gate(x_se) 2025-09-07T07:39:45.5786386Z 2025-09-07T07:39:45.5786520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5786804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5786881Z return mod(*inputs) 2025-09-07T07:39:45.5787205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5787293Z x = self.forward_features(x) 2025-09-07T07:39:45.5787661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5787734Z x = self.blocks(x) 2025-09-07T07:39:45.5788088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:39:45.5788155Z x = self.se(x) 2025-09-07T07:39:45.5788503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:39:45.5788587Z return x * self.gate(x_se) 2025-09-07T07:39:45.5788591Z 2025-09-07T07:39:45.5788688Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5788825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5789110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5789188Z return mod(*inputs) 2025-09-07T07:39:45.5789625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5789746Z x = self.forward_features(x) 2025-09-07T07:39:45.5790120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5790194Z x = self.blocks(x) 2025-09-07T07:39:45.5790550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5790627Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5790945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5791086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5791416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5791595Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5791672Z 2025-09-07T07:39:45.5804194Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5804440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5804750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5804827Z return mod(*inputs) 2025-09-07T07:39:45.5805260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5805349Z x = self.forward_features(x) 2025-09-07T07:39:45.5805726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5805800Z x = self.blocks(x) 2025-09-07T07:39:45.5806165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5806243Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5806571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:39:45.5806723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5807061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:39:45.5807200Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:39:45.5807205Z 2025-09-07T07:39:45.5807306Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5807402Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5807540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5807830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5807907Z return mod(*inputs) 2025-09-07T07:39:45.5808236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5808323Z x = self.forward_features(x) 2025-09-07T07:39:45.5808701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5808774Z x = self.blocks(x) 2025-09-07T07:39:45.5809130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:39:45.5809207Z x = self.conv_pwl(x) 2025-09-07T07:39:45.5809528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:39:45.5809608Z x = torch.cat(x_out, 1) 2025-09-07T07:39:45.5809613Z 2025-09-07T07:39:45.5809747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5810035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5810108Z return mod(*inputs) 2025-09-07T07:39:45.5810438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5810753Z x = self.forward_features(x) 2025-09-07T07:39:45.5811139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:39:45.5811215Z x = self.blocks(x) 2025-09-07T07:39:45.5811569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:39:45.5811657Z x = self.drop_path(x) + shortcut 2025-09-07T07:39:45.5811662Z 2025-09-07T07:39:45.5811798Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5812088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5812164Z return mod(*inputs) 2025-09-07T07:39:45.5812492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:39:45.5812579Z x = self.forward_features(x) 2025-09-07T07:39:45.5812949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T07:39:45.5813194Z x = self.conv_head(x) 2025-09-07T07:39:45.5813204Z 2025-09-07T07:39:45.5813328Z cudagraph partition due to non gpu ops 2025-09-07T07:39:45.5813463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5813754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5813828Z return mod(*inputs) 2025-09-07T07:39:45.5814154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:39:45.5814239Z x = self.forward_head(x) 2025-09-07T07:39:45.5814586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T07:39:45.5814668Z x = self.global_pool(x) 2025-09-07T07:39:45.5815034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T07:39:45.5815113Z x = self.pool(x) 2025-09-07T07:39:45.5815117Z 2025-09-07T07:39:45.5815250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:45.5815534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:39:45.5815611Z return mod(*inputs) 2025-09-07T07:39:45.5815935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:39:45.5816019Z x = self.forward_head(x) 2025-09-07T07:39:45.5816362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T07:39:45.5816480Z return x if pre_logits else self.classifier(x) 2025-09-07T07:39:45.5816485Z 2025-09-07T07:39:58.0403253Z pass 2025-09-07T07:39:58.0404604Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:00.0470684Z /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. 2025-09-07T07:40:00.0471968Z import pynvml # type: ignore[import] 2025-09-07T07:40:03.2865328Z 2025-09-07T07:40:03.7400066Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:03.7400369Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:03.7468413Z cpu eval mnasnet_100 2025-09-07T07:40:04.3611681Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:04.7991470Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:05.2315495Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:14.0830617Z cudagraph partition due to non gpu ops 2025-09-07T07:40:14.0831214Z cudagraph partition due to non gpu ops 2025-09-07T07:40:14.0831573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0832110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0832587Z return mod(*inputs) 2025-09-07T07:40:14.0833072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0833600Z x = self.forward_features(x) 2025-09-07T07:40:14.0834132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 251, in forward_features 2025-09-07T07:40:14.0834681Z x = self.conv_stem(x) 2025-09-07T07:40:14.0834828Z 2025-09-07T07:40:14.0834964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0835484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0836173Z return mod(*inputs) 2025-09-07T07:40:14.0836638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0837156Z x = self.forward_features(x) 2025-09-07T07:40:14.0837686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T07:40:14.0838225Z x = self.bn1(x) 2025-09-07T07:40:14.0838648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0839123Z x = self.act(x) 2025-09-07T07:40:14.0839246Z 2025-09-07T07:40:14.0839467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0839983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0840443Z return mod(*inputs) 2025-09-07T07:40:14.0840912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0841430Z x = self.forward_features(x) 2025-09-07T07:40:14.0841961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0842499Z x = self.blocks(x) 2025-09-07T07:40:14.0842989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 190, in forward 2025-09-07T07:40:14.0843517Z x = self.conv_dw(x) 2025-09-07T07:40:14.0843648Z 2025-09-07T07:40:14.0843785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0844298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0844766Z return mod(*inputs) 2025-09-07T07:40:14.0845228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0845740Z x = self.forward_features(x) 2025-09-07T07:40:14.0846277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0846815Z x = self.blocks(x) 2025-09-07T07:40:14.0847303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T07:40:14.0847826Z x = self.bn1(x) 2025-09-07T07:40:14.0848252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0848726Z x = self.act(x) 2025-09-07T07:40:14.0848849Z 2025-09-07T07:40:14.0848988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0849505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0849969Z return mod(*inputs) 2025-09-07T07:40:14.0850429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0850949Z x = self.forward_features(x) 2025-09-07T07:40:14.0851621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0852178Z x = self.blocks(x) 2025-09-07T07:40:14.0852663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T07:40:14.0853187Z x = self.conv_pw(x) 2025-09-07T07:40:14.0853323Z 2025-09-07T07:40:14.0853458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0853980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0854439Z return mod(*inputs) 2025-09-07T07:40:14.0854894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0855404Z x = self.forward_features(x) 2025-09-07T07:40:14.0855931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0856588Z x = self.blocks(x) 2025-09-07T07:40:14.0857076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 195, in forward 2025-09-07T07:40:14.0857594Z x = self.bn2(x) 2025-09-07T07:40:14.0858017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.0858488Z x = F.batch_norm( 2025-09-07T07:40:14.0858616Z 2025-09-07T07:40:14.0858753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0859265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0859728Z return mod(*inputs) 2025-09-07T07:40:14.0860188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0860696Z x = self.forward_features(x) 2025-09-07T07:40:14.0861237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0861770Z x = self.blocks(x) 2025-09-07T07:40:14.0862256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.0862780Z x = self.conv_pw(x) 2025-09-07T07:40:14.0862913Z 2025-09-07T07:40:14.0863051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0863561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0864026Z return mod(*inputs) 2025-09-07T07:40:14.0864484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0864998Z x = self.forward_features(x) 2025-09-07T07:40:14.0865522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0866063Z x = self.blocks(x) 2025-09-07T07:40:14.0866549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.0867068Z x = self.bn1(x) 2025-09-07T07:40:14.0867495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0867967Z x = self.act(x) 2025-09-07T07:40:14.0868091Z 2025-09-07T07:40:14.0868226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0868743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0869213Z return mod(*inputs) 2025-09-07T07:40:14.0869673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0870193Z x = self.forward_features(x) 2025-09-07T07:40:14.0870841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0871402Z x = self.blocks(x) 2025-09-07T07:40:14.0871885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.0872410Z x = self.conv_dw(x) 2025-09-07T07:40:14.0872543Z 2025-09-07T07:40:14.0872677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0873194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0873653Z return mod(*inputs) 2025-09-07T07:40:14.0874109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0874617Z x = self.forward_features(x) 2025-09-07T07:40:14.0875156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0875688Z x = self.blocks(x) 2025-09-07T07:40:14.0876275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.0876797Z x = self.bn2(x) 2025-09-07T07:40:14.0877219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0877691Z x = self.act(x) 2025-09-07T07:40:14.0877810Z 2025-09-07T07:40:14.0877950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0878461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0878923Z return mod(*inputs) 2025-09-07T07:40:14.0879382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0879892Z x = self.forward_features(x) 2025-09-07T07:40:14.0880415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0880956Z x = self.blocks(x) 2025-09-07T07:40:14.0881443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.0881974Z x = self.conv_pwl(x) 2025-09-07T07:40:14.0882111Z 2025-09-07T07:40:14.0882251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0882765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0883228Z return mod(*inputs) 2025-09-07T07:40:14.0883691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0884204Z x = self.forward_features(x) 2025-09-07T07:40:14.0884729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0885266Z x = self.blocks(x) 2025-09-07T07:40:14.0885752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:40:14.0886280Z x = self.bn3(x) 2025-09-07T07:40:14.0886706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.0887178Z x = F.batch_norm( 2025-09-07T07:40:14.0887309Z 2025-09-07T07:40:14.0887444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0887963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0888427Z return mod(*inputs) 2025-09-07T07:40:14.0888883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0889390Z x = self.forward_features(x) 2025-09-07T07:40:14.0889915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0890449Z x = self.blocks(x) 2025-09-07T07:40:14.0891068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.0891606Z x = self.conv_pw(x) 2025-09-07T07:40:14.0891745Z 2025-09-07T07:40:14.0891880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0892395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0892854Z return mod(*inputs) 2025-09-07T07:40:14.0893313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0893819Z x = self.forward_features(x) 2025-09-07T07:40:14.0894344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0894879Z x = self.blocks(x) 2025-09-07T07:40:14.0895362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.0896018Z x = self.bn1(x) 2025-09-07T07:40:14.0896442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0896912Z x = self.act(x) 2025-09-07T07:40:14.0897029Z 2025-09-07T07:40:14.0897166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0897684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0898138Z return mod(*inputs) 2025-09-07T07:40:14.0898596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0899107Z x = self.forward_features(x) 2025-09-07T07:40:14.0899633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0900165Z x = self.blocks(x) 2025-09-07T07:40:14.0900652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.0901180Z x = self.conv_dw(x) 2025-09-07T07:40:14.0901312Z 2025-09-07T07:40:14.0901451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0901964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0902423Z return mod(*inputs) 2025-09-07T07:40:14.0902881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0903392Z x = self.forward_features(x) 2025-09-07T07:40:14.0903918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0904446Z x = self.blocks(x) 2025-09-07T07:40:14.0904927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.0905724Z x = self.bn2(x) 2025-09-07T07:40:14.0906166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0906638Z x = self.act(x) 2025-09-07T07:40:14.0906758Z 2025-09-07T07:40:14.0906893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0907412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0907873Z return mod(*inputs) 2025-09-07T07:40:14.0908332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0908836Z x = self.forward_features(x) 2025-09-07T07:40:14.0909364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0909895Z x = self.blocks(x) 2025-09-07T07:40:14.0910377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.0910907Z x = self.conv_pwl(x) 2025-09-07T07:40:14.0911258Z 2025-09-07T07:40:14.0911410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0911931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0912394Z return mod(*inputs) 2025-09-07T07:40:14.0912854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0913359Z x = self.forward_features(x) 2025-09-07T07:40:14.0913879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0914412Z x = self.blocks(x) 2025-09-07T07:40:14.0914892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.0915425Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.0915599Z 2025-09-07T07:40:14.0915734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0916418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0916881Z return mod(*inputs) 2025-09-07T07:40:14.0917343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0917850Z x = self.forward_features(x) 2025-09-07T07:40:14.0918374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0918907Z x = self.blocks(x) 2025-09-07T07:40:14.0919390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.0919912Z x = self.conv_pw(x) 2025-09-07T07:40:14.0920043Z 2025-09-07T07:40:14.0920179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0920696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0921166Z return mod(*inputs) 2025-09-07T07:40:14.0921627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0922134Z x = self.forward_features(x) 2025-09-07T07:40:14.0922655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0923188Z x = self.blocks(x) 2025-09-07T07:40:14.0923674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.0924194Z x = self.bn1(x) 2025-09-07T07:40:14.0924614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0925086Z x = self.act(x) 2025-09-07T07:40:14.0925207Z 2025-09-07T07:40:14.0925349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0925877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0926334Z return mod(*inputs) 2025-09-07T07:40:14.0926797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0927305Z x = self.forward_features(x) 2025-09-07T07:40:14.0927828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0928361Z x = self.blocks(x) 2025-09-07T07:40:14.0928840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.0929364Z x = self.conv_dw(x) 2025-09-07T07:40:14.0929498Z 2025-09-07T07:40:14.0929633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0930150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0930613Z return mod(*inputs) 2025-09-07T07:40:14.0931191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0931720Z x = self.forward_features(x) 2025-09-07T07:40:14.0932248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0932785Z x = self.blocks(x) 2025-09-07T07:40:14.0933269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.0933793Z x = self.bn2(x) 2025-09-07T07:40:14.0934216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0934688Z x = self.act(x) 2025-09-07T07:40:14.0934806Z 2025-09-07T07:40:14.0934940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0935460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0936029Z return mod(*inputs) 2025-09-07T07:40:14.0936490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0937002Z x = self.forward_features(x) 2025-09-07T07:40:14.0937523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0938055Z x = self.blocks(x) 2025-09-07T07:40:14.0938537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.0939066Z x = self.conv_pwl(x) 2025-09-07T07:40:14.0939204Z 2025-09-07T07:40:14.0939340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0939857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0940320Z return mod(*inputs) 2025-09-07T07:40:14.0940785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0941299Z x = self.forward_features(x) 2025-09-07T07:40:14.0941825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0942360Z x = self.blocks(x) 2025-09-07T07:40:14.0942846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.0943383Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.0943558Z 2025-09-07T07:40:14.0943952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0944468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0944934Z return mod(*inputs) 2025-09-07T07:40:14.0945398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0945914Z x = self.forward_features(x) 2025-09-07T07:40:14.0946439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0946972Z x = self.blocks(x) 2025-09-07T07:40:14.0947459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.0947984Z x = self.conv_pw(x) 2025-09-07T07:40:14.0948117Z 2025-09-07T07:40:14.0948257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0948772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0949234Z return mod(*inputs) 2025-09-07T07:40:14.0949698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0950208Z x = self.forward_features(x) 2025-09-07T07:40:14.0950863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0951419Z x = self.blocks(x) 2025-09-07T07:40:14.0951904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.0952426Z x = self.bn1(x) 2025-09-07T07:40:14.0952852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0953319Z x = self.act(x) 2025-09-07T07:40:14.0953442Z 2025-09-07T07:40:14.0953576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0954093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0954555Z return mod(*inputs) 2025-09-07T07:40:14.0955012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0955525Z x = self.forward_features(x) 2025-09-07T07:40:14.0956167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0956703Z x = self.blocks(x) 2025-09-07T07:40:14.0957188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.0957709Z x = self.conv_dw(x) 2025-09-07T07:40:14.0957840Z 2025-09-07T07:40:14.0957976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0958493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0958951Z return mod(*inputs) 2025-09-07T07:40:14.0959406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0959916Z x = self.forward_features(x) 2025-09-07T07:40:14.0960440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0960983Z x = self.blocks(x) 2025-09-07T07:40:14.0961469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.0961987Z x = self.bn2(x) 2025-09-07T07:40:14.0962415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0962886Z x = self.act(x) 2025-09-07T07:40:14.0963005Z 2025-09-07T07:40:14.0963144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0963676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0964139Z return mod(*inputs) 2025-09-07T07:40:14.0964601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0965110Z x = self.forward_features(x) 2025-09-07T07:40:14.0965639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0966177Z x = self.blocks(x) 2025-09-07T07:40:14.0966661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.0967190Z x = self.conv_pwl(x) 2025-09-07T07:40:14.0967328Z 2025-09-07T07:40:14.0967469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0967985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0968447Z return mod(*inputs) 2025-09-07T07:40:14.0968906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0969414Z x = self.forward_features(x) 2025-09-07T07:40:14.0969935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0970469Z x = self.blocks(x) 2025-09-07T07:40:14.0971106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:40:14.0971648Z x = self.bn3(x) 2025-09-07T07:40:14.0972070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.0972542Z x = F.batch_norm( 2025-09-07T07:40:14.0972674Z 2025-09-07T07:40:14.0972808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0973326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0973786Z return mod(*inputs) 2025-09-07T07:40:14.0974246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0974754Z x = self.forward_features(x) 2025-09-07T07:40:14.0975281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0976672Z x = self.blocks(x) 2025-09-07T07:40:14.0977157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.0977679Z x = self.conv_pw(x) 2025-09-07T07:40:14.0977815Z 2025-09-07T07:40:14.0977948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0978464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0978923Z return mod(*inputs) 2025-09-07T07:40:14.0979381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0979885Z x = self.forward_features(x) 2025-09-07T07:40:14.0980406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0980938Z x = self.blocks(x) 2025-09-07T07:40:14.0981422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.0981942Z x = self.bn1(x) 2025-09-07T07:40:14.0982363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0982833Z x = self.act(x) 2025-09-07T07:40:14.0982951Z 2025-09-07T07:40:14.0983091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0983607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0984065Z return mod(*inputs) 2025-09-07T07:40:14.0984526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0985035Z x = self.forward_features(x) 2025-09-07T07:40:14.0985559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0986086Z x = self.blocks(x) 2025-09-07T07:40:14.0986578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.0987103Z x = self.conv_dw(x) 2025-09-07T07:40:14.0987233Z 2025-09-07T07:40:14.0987370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0987888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0988345Z return mod(*inputs) 2025-09-07T07:40:14.0988803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0989312Z x = self.forward_features(x) 2025-09-07T07:40:14.0989839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0990373Z x = self.blocks(x) 2025-09-07T07:40:14.0990859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.0991565Z x = self.bn2(x) 2025-09-07T07:40:14.0992034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.0992508Z x = self.act(x) 2025-09-07T07:40:14.0992628Z 2025-09-07T07:40:14.0992762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0993285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0993746Z return mod(*inputs) 2025-09-07T07:40:14.0994206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0994713Z x = self.forward_features(x) 2025-09-07T07:40:14.0995238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.0995772Z x = self.blocks(x) 2025-09-07T07:40:14.0996262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.0996890Z x = self.conv_pwl(x) 2025-09-07T07:40:14.0997028Z 2025-09-07T07:40:14.0997162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.0997679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.0998139Z return mod(*inputs) 2025-09-07T07:40:14.0998598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.0999105Z x = self.forward_features(x) 2025-09-07T07:40:14.0999635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1000165Z x = self.blocks(x) 2025-09-07T07:40:14.1000649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1001186Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1001364Z 2025-09-07T07:40:14.1001502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1002021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1002480Z return mod(*inputs) 2025-09-07T07:40:14.1002940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1003444Z x = self.forward_features(x) 2025-09-07T07:40:14.1003971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1004501Z x = self.blocks(x) 2025-09-07T07:40:14.1004987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1005608Z x = self.conv_pw(x) 2025-09-07T07:40:14.1005743Z 2025-09-07T07:40:14.1005882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1006408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1006867Z return mod(*inputs) 2025-09-07T07:40:14.1007329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1007836Z x = self.forward_features(x) 2025-09-07T07:40:14.1008362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1008896Z x = self.blocks(x) 2025-09-07T07:40:14.1009378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1009895Z x = self.bn1(x) 2025-09-07T07:40:14.1010312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1010784Z x = self.act(x) 2025-09-07T07:40:14.1010907Z 2025-09-07T07:40:14.1011230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1011769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1012231Z return mod(*inputs) 2025-09-07T07:40:14.1012694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1013201Z x = self.forward_features(x) 2025-09-07T07:40:14.1013728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1014259Z x = self.blocks(x) 2025-09-07T07:40:14.1014741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1015263Z x = self.conv_dw(x) 2025-09-07T07:40:14.1015398Z 2025-09-07T07:40:14.1015533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1016053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1016659Z return mod(*inputs) 2025-09-07T07:40:14.1017120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1017631Z x = self.forward_features(x) 2025-09-07T07:40:14.1018156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1018688Z x = self.blocks(x) 2025-09-07T07:40:14.1019171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1019692Z x = self.bn2(x) 2025-09-07T07:40:14.1020113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1020585Z x = self.act(x) 2025-09-07T07:40:14.1020701Z 2025-09-07T07:40:14.1020836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1021361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1021821Z return mod(*inputs) 2025-09-07T07:40:14.1022282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1022792Z x = self.forward_features(x) 2025-09-07T07:40:14.1023314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1023849Z x = self.blocks(x) 2025-09-07T07:40:14.1024331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1024859Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1024994Z 2025-09-07T07:40:14.1025128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1025650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1026117Z return mod(*inputs) 2025-09-07T07:40:14.1026579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1027089Z x = self.forward_features(x) 2025-09-07T07:40:14.1027611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1028147Z x = self.blocks(x) 2025-09-07T07:40:14.1028630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1029167Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1029339Z 2025-09-07T07:40:14.1029479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1029993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1030455Z return mod(*inputs) 2025-09-07T07:40:14.1031037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1031563Z x = self.forward_features(x) 2025-09-07T07:40:14.1032088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1032621Z x = self.blocks(x) 2025-09-07T07:40:14.1033105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1033630Z x = self.conv_pw(x) 2025-09-07T07:40:14.1033761Z 2025-09-07T07:40:14.1033900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1034413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1034876Z return mod(*inputs) 2025-09-07T07:40:14.1035339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1035852Z x = self.forward_features(x) 2025-09-07T07:40:14.1036490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1037023Z x = self.blocks(x) 2025-09-07T07:40:14.1037505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1038025Z x = self.bn1(x) 2025-09-07T07:40:14.1038443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1038916Z x = self.act(x) 2025-09-07T07:40:14.1039038Z 2025-09-07T07:40:14.1039172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1039695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1040156Z return mod(*inputs) 2025-09-07T07:40:14.1040611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1041127Z x = self.forward_features(x) 2025-09-07T07:40:14.1041651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1042186Z x = self.blocks(x) 2025-09-07T07:40:14.1042664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1043187Z x = self.conv_dw(x) 2025-09-07T07:40:14.1043319Z 2025-09-07T07:40:14.1043455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1043974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1044431Z return mod(*inputs) 2025-09-07T07:40:14.1044884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1045394Z x = self.forward_features(x) 2025-09-07T07:40:14.1045923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1046460Z x = self.blocks(x) 2025-09-07T07:40:14.1046942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1047459Z x = self.bn2(x) 2025-09-07T07:40:14.1047880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1048352Z x = self.act(x) 2025-09-07T07:40:14.1048472Z 2025-09-07T07:40:14.1048609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1049125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1049585Z return mod(*inputs) 2025-09-07T07:40:14.1050045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1050553Z x = self.forward_features(x) 2025-09-07T07:40:14.1051235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1051777Z x = self.blocks(x) 2025-09-07T07:40:14.1052265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1052795Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1052946Z 2025-09-07T07:40:14.1053083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1053595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1054054Z return mod(*inputs) 2025-09-07T07:40:14.1054514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1055021Z x = self.forward_features(x) 2025-09-07T07:40:14.1055546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1056184Z x = self.blocks(x) 2025-09-07T07:40:14.1056670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:40:14.1057191Z x = self.bn3(x) 2025-09-07T07:40:14.1057616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.1058086Z x = F.batch_norm( 2025-09-07T07:40:14.1058213Z 2025-09-07T07:40:14.1058346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1058865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1059325Z return mod(*inputs) 2025-09-07T07:40:14.1059786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1060289Z x = self.forward_features(x) 2025-09-07T07:40:14.1060819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1061356Z x = self.blocks(x) 2025-09-07T07:40:14.1061836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1062356Z x = self.conv_pw(x) 2025-09-07T07:40:14.1062490Z 2025-09-07T07:40:14.1062623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1063138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1063596Z return mod(*inputs) 2025-09-07T07:40:14.1064055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1064560Z x = self.forward_features(x) 2025-09-07T07:40:14.1065086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1065618Z x = self.blocks(x) 2025-09-07T07:40:14.1066110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1066629Z x = self.bn1(x) 2025-09-07T07:40:14.1067048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1067519Z x = self.act(x) 2025-09-07T07:40:14.1067637Z 2025-09-07T07:40:14.1067778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1068293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1068746Z return mod(*inputs) 2025-09-07T07:40:14.1069205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1069711Z x = self.forward_features(x) 2025-09-07T07:40:14.1070234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1070880Z x = self.blocks(x) 2025-09-07T07:40:14.1071384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1071909Z x = self.conv_dw(x) 2025-09-07T07:40:14.1072041Z 2025-09-07T07:40:14.1072180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1072701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1073158Z return mod(*inputs) 2025-09-07T07:40:14.1073617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1074126Z x = self.forward_features(x) 2025-09-07T07:40:14.1074651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1075181Z x = self.blocks(x) 2025-09-07T07:40:14.1075666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1076284Z x = self.bn2(x) 2025-09-07T07:40:14.1076711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1077181Z x = self.act(x) 2025-09-07T07:40:14.1077300Z 2025-09-07T07:40:14.1077435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1077955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1078416Z return mod(*inputs) 2025-09-07T07:40:14.1078872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1079378Z x = self.forward_features(x) 2025-09-07T07:40:14.1079902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1080436Z x = self.blocks(x) 2025-09-07T07:40:14.1080925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1081451Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1081586Z 2025-09-07T07:40:14.1081722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1082240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1082700Z return mod(*inputs) 2025-09-07T07:40:14.1083160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1083665Z x = self.forward_features(x) 2025-09-07T07:40:14.1084188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1084721Z x = self.blocks(x) 2025-09-07T07:40:14.1085207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1085746Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1085918Z 2025-09-07T07:40:14.1086052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1086569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1087031Z return mod(*inputs) 2025-09-07T07:40:14.1087494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1088000Z x = self.forward_features(x) 2025-09-07T07:40:14.1088529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1089061Z x = self.blocks(x) 2025-09-07T07:40:14.1089546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1090071Z x = self.conv_pw(x) 2025-09-07T07:40:14.1090202Z 2025-09-07T07:40:14.1090458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1090987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1091451Z return mod(*inputs) 2025-09-07T07:40:14.1091909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1092414Z x = self.forward_features(x) 2025-09-07T07:40:14.1092938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1093470Z x = self.blocks(x) 2025-09-07T07:40:14.1093952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1094471Z x = self.bn1(x) 2025-09-07T07:40:14.1094892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1095465Z x = self.act(x) 2025-09-07T07:40:14.1095594Z 2025-09-07T07:40:14.1095729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1096250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1096705Z return mod(*inputs) 2025-09-07T07:40:14.1097164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1097671Z x = self.forward_features(x) 2025-09-07T07:40:14.1098195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1098727Z x = self.blocks(x) 2025-09-07T07:40:14.1099206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1099730Z x = self.conv_dw(x) 2025-09-07T07:40:14.1099864Z 2025-09-07T07:40:14.1099997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1100521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1100976Z return mod(*inputs) 2025-09-07T07:40:14.1101434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1101944Z x = self.forward_features(x) 2025-09-07T07:40:14.1102469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1103002Z x = self.blocks(x) 2025-09-07T07:40:14.1103482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1103999Z x = self.bn2(x) 2025-09-07T07:40:14.1104420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1104893Z x = self.act(x) 2025-09-07T07:40:14.1105012Z 2025-09-07T07:40:14.1105226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1105765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1106228Z return mod(*inputs) 2025-09-07T07:40:14.1106685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1107193Z x = self.forward_features(x) 2025-09-07T07:40:14.1107715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1108247Z x = self.blocks(x) 2025-09-07T07:40:14.1108731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1109261Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1109396Z 2025-09-07T07:40:14.1109529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1110230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1110714Z return mod(*inputs) 2025-09-07T07:40:14.1111175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1111686Z x = self.forward_features(x) 2025-09-07T07:40:14.1112209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1112740Z x = self.blocks(x) 2025-09-07T07:40:14.1113222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1113755Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1113927Z 2025-09-07T07:40:14.1114061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1114576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1115036Z return mod(*inputs) 2025-09-07T07:40:14.1115675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1116186Z x = self.forward_features(x) 2025-09-07T07:40:14.1116708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1117242Z x = self.blocks(x) 2025-09-07T07:40:14.1117727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1118253Z x = self.conv_pw(x) 2025-09-07T07:40:14.1118384Z 2025-09-07T07:40:14.1118519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1119038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1119495Z return mod(*inputs) 2025-09-07T07:40:14.1119952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1120472Z x = self.forward_features(x) 2025-09-07T07:40:14.1120995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1121528Z x = self.blocks(x) 2025-09-07T07:40:14.1122013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1122534Z x = self.bn1(x) 2025-09-07T07:40:14.1122952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1123423Z x = self.act(x) 2025-09-07T07:40:14.1123545Z 2025-09-07T07:40:14.1123679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1124195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1124655Z return mod(*inputs) 2025-09-07T07:40:14.1125114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1125631Z x = self.forward_features(x) 2025-09-07T07:40:14.1126156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1126689Z x = self.blocks(x) 2025-09-07T07:40:14.1127169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1127697Z x = self.conv_dw(x) 2025-09-07T07:40:14.1127831Z 2025-09-07T07:40:14.1127964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1128481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1128942Z return mod(*inputs) 2025-09-07T07:40:14.1129395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1129902Z x = self.forward_features(x) 2025-09-07T07:40:14.1130557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1131099Z x = self.blocks(x) 2025-09-07T07:40:14.1131581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1132100Z x = self.bn2(x) 2025-09-07T07:40:14.1132525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1133001Z x = self.act(x) 2025-09-07T07:40:14.1133119Z 2025-09-07T07:40:14.1133256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1133772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1134241Z return mod(*inputs) 2025-09-07T07:40:14.1134700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1135321Z x = self.forward_features(x) 2025-09-07T07:40:14.1135844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1136379Z x = self.blocks(x) 2025-09-07T07:40:14.1136860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1137384Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1137521Z 2025-09-07T07:40:14.1137656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1138166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1138625Z return mod(*inputs) 2025-09-07T07:40:14.1139082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1139589Z x = self.forward_features(x) 2025-09-07T07:40:14.1140115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1140655Z x = self.blocks(x) 2025-09-07T07:40:14.1141397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:40:14.1153614Z x = self.bn3(x) 2025-09-07T07:40:14.1154084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.1154569Z x = F.batch_norm( 2025-09-07T07:40:14.1154705Z 2025-09-07T07:40:14.1154842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1155369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1155831Z return mod(*inputs) 2025-09-07T07:40:14.1156296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1156809Z x = self.forward_features(x) 2025-09-07T07:40:14.1157360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1157897Z x = self.blocks(x) 2025-09-07T07:40:14.1158379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1158906Z x = self.conv_pw(x) 2025-09-07T07:40:14.1159043Z 2025-09-07T07:40:14.1159179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1159698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1160156Z return mod(*inputs) 2025-09-07T07:40:14.1160616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1161124Z x = self.forward_features(x) 2025-09-07T07:40:14.1161652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1162335Z x = self.blocks(x) 2025-09-07T07:40:14.1162826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1163346Z x = self.bn1(x) 2025-09-07T07:40:14.1163772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1164244Z x = self.act(x) 2025-09-07T07:40:14.1164362Z 2025-09-07T07:40:14.1164497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1165019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1165481Z return mod(*inputs) 2025-09-07T07:40:14.1165944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1166453Z x = self.forward_features(x) 2025-09-07T07:40:14.1166978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1167612Z x = self.blocks(x) 2025-09-07T07:40:14.1168099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1168625Z x = self.conv_dw(x) 2025-09-07T07:40:14.1168757Z 2025-09-07T07:40:14.1168890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1169406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1169869Z return mod(*inputs) 2025-09-07T07:40:14.1170327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1170837Z x = self.forward_features(x) 2025-09-07T07:40:14.1171360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1171892Z x = self.blocks(x) 2025-09-07T07:40:14.1172384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1172907Z x = self.bn2(x) 2025-09-07T07:40:14.1173329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1173801Z x = self.act(x) 2025-09-07T07:40:14.1173923Z 2025-09-07T07:40:14.1174057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1174574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1175034Z return mod(*inputs) 2025-09-07T07:40:14.1175487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1175995Z x = self.forward_features(x) 2025-09-07T07:40:14.1176517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1177057Z x = self.blocks(x) 2025-09-07T07:40:14.1177541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1178069Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1178210Z 2025-09-07T07:40:14.1178345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1178863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1179328Z return mod(*inputs) 2025-09-07T07:40:14.1179780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1180293Z x = self.forward_features(x) 2025-09-07T07:40:14.1180822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1181354Z x = self.blocks(x) 2025-09-07T07:40:14.1181947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1182501Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1182681Z 2025-09-07T07:40:14.1182817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1183334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1183793Z return mod(*inputs) 2025-09-07T07:40:14.1184247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1184756Z x = self.forward_features(x) 2025-09-07T07:40:14.1185281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1185815Z x = self.blocks(x) 2025-09-07T07:40:14.1186291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1186909Z x = self.conv_pw(x) 2025-09-07T07:40:14.1187051Z 2025-09-07T07:40:14.1187184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1187700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1188157Z return mod(*inputs) 2025-09-07T07:40:14.1188611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1189117Z x = self.forward_features(x) 2025-09-07T07:40:14.1189640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1190171Z x = self.blocks(x) 2025-09-07T07:40:14.1190648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1191165Z x = self.bn1(x) 2025-09-07T07:40:14.1191592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1192068Z x = self.act(x) 2025-09-07T07:40:14.1192186Z 2025-09-07T07:40:14.1192325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1192839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1193297Z return mod(*inputs) 2025-09-07T07:40:14.1193755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1194262Z x = self.forward_features(x) 2025-09-07T07:40:14.1194780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1195313Z x = self.blocks(x) 2025-09-07T07:40:14.1195796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1196321Z x = self.conv_dw(x) 2025-09-07T07:40:14.1196455Z 2025-09-07T07:40:14.1196596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1197107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1197566Z return mod(*inputs) 2025-09-07T07:40:14.1198025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1198534Z x = self.forward_features(x) 2025-09-07T07:40:14.1199056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1199593Z x = self.blocks(x) 2025-09-07T07:40:14.1200077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1200600Z x = self.bn2(x) 2025-09-07T07:40:14.1201022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1201492Z x = self.act(x) 2025-09-07T07:40:14.1201726Z 2025-09-07T07:40:14.1201868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1202382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1202839Z return mod(*inputs) 2025-09-07T07:40:14.1203292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1203802Z x = self.forward_features(x) 2025-09-07T07:40:14.1204322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1204855Z x = self.blocks(x) 2025-09-07T07:40:14.1205421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1205951Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1206092Z 2025-09-07T07:40:14.1206228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1206926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1207385Z return mod(*inputs) 2025-09-07T07:40:14.1207839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1208346Z x = self.forward_features(x) 2025-09-07T07:40:14.1208867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1209398Z x = self.blocks(x) 2025-09-07T07:40:14.1209879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:40:14.1210393Z x = self.bn3(x) 2025-09-07T07:40:14.1210818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.1211293Z x = F.batch_norm( 2025-09-07T07:40:14.1211419Z 2025-09-07T07:40:14.1211565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1212077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1212538Z return mod(*inputs) 2025-09-07T07:40:14.1212997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1213503Z x = self.forward_features(x) 2025-09-07T07:40:14.1214025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1214551Z x = self.blocks(x) 2025-09-07T07:40:14.1215035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1215559Z x = self.conv_pw(x) 2025-09-07T07:40:14.1215690Z 2025-09-07T07:40:14.1215828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1216344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1216802Z return mod(*inputs) 2025-09-07T07:40:14.1217259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1217767Z x = self.forward_features(x) 2025-09-07T07:40:14.1218292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1218820Z x = self.blocks(x) 2025-09-07T07:40:14.1219303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1219824Z x = self.bn1(x) 2025-09-07T07:40:14.1220247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1220717Z x = self.act(x) 2025-09-07T07:40:14.1220840Z 2025-09-07T07:40:14.1220975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1221660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1222140Z return mod(*inputs) 2025-09-07T07:40:14.1222600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1223105Z x = self.forward_features(x) 2025-09-07T07:40:14.1223632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1224165Z x = self.blocks(x) 2025-09-07T07:40:14.1224646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1225166Z x = self.conv_dw(x) 2025-09-07T07:40:14.1225301Z 2025-09-07T07:40:14.1225434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1225951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1226536Z return mod(*inputs) 2025-09-07T07:40:14.1226995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1227500Z x = self.forward_features(x) 2025-09-07T07:40:14.1228024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1228555Z x = self.blocks(x) 2025-09-07T07:40:14.1229038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1229557Z x = self.bn2(x) 2025-09-07T07:40:14.1229974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1230445Z x = self.act(x) 2025-09-07T07:40:14.1230562Z 2025-09-07T07:40:14.1230702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1231225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1231686Z return mod(*inputs) 2025-09-07T07:40:14.1232140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1232644Z x = self.forward_features(x) 2025-09-07T07:40:14.1233167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1233697Z x = self.blocks(x) 2025-09-07T07:40:14.1234177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1234700Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1234839Z 2025-09-07T07:40:14.1234972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1235486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1235943Z return mod(*inputs) 2025-09-07T07:40:14.1236418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1236929Z x = self.forward_features(x) 2025-09-07T07:40:14.1237452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1237985Z x = self.blocks(x) 2025-09-07T07:40:14.1238469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1239006Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1239181Z 2025-09-07T07:40:14.1239316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1239835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1240292Z return mod(*inputs) 2025-09-07T07:40:14.1240748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1241380Z x = self.forward_features(x) 2025-09-07T07:40:14.1241916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1242451Z x = self.blocks(x) 2025-09-07T07:40:14.1242934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1243459Z x = self.conv_pw(x) 2025-09-07T07:40:14.1243592Z 2025-09-07T07:40:14.1243724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1244240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1244697Z return mod(*inputs) 2025-09-07T07:40:14.1245152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1245656Z x = self.forward_features(x) 2025-09-07T07:40:14.1246184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1246807Z x = self.blocks(x) 2025-09-07T07:40:14.1247291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1247810Z x = self.bn1(x) 2025-09-07T07:40:14.1248231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1248702Z x = self.act(x) 2025-09-07T07:40:14.1248819Z 2025-09-07T07:40:14.1248956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1249471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1249927Z return mod(*inputs) 2025-09-07T07:40:14.1250385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1250892Z x = self.forward_features(x) 2025-09-07T07:40:14.1251420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1251956Z x = self.blocks(x) 2025-09-07T07:40:14.1252436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1252958Z x = self.conv_dw(x) 2025-09-07T07:40:14.1253087Z 2025-09-07T07:40:14.1253223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1253736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1254194Z return mod(*inputs) 2025-09-07T07:40:14.1254655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1255163Z x = self.forward_features(x) 2025-09-07T07:40:14.1255695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1256229Z x = self.blocks(x) 2025-09-07T07:40:14.1256710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1257227Z x = self.bn2(x) 2025-09-07T07:40:14.1257651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1258126Z x = self.act(x) 2025-09-07T07:40:14.1258244Z 2025-09-07T07:40:14.1258380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1258896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1259353Z return mod(*inputs) 2025-09-07T07:40:14.1259813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1260323Z x = self.forward_features(x) 2025-09-07T07:40:14.1260961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1261506Z x = self.blocks(x) 2025-09-07T07:40:14.1261987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1262515Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1262652Z 2025-09-07T07:40:14.1262787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1263299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1263759Z return mod(*inputs) 2025-09-07T07:40:14.1264215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1264724Z x = self.forward_features(x) 2025-09-07T07:40:14.1265245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1265878Z x = self.blocks(x) 2025-09-07T07:40:14.1266361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1266895Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1267067Z 2025-09-07T07:40:14.1267202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1267716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1268174Z return mod(*inputs) 2025-09-07T07:40:14.1268630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1269139Z x = self.forward_features(x) 2025-09-07T07:40:14.1269656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1270187Z x = self.blocks(x) 2025-09-07T07:40:14.1270670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1271197Z x = self.conv_pw(x) 2025-09-07T07:40:14.1271327Z 2025-09-07T07:40:14.1271460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1271976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1272435Z return mod(*inputs) 2025-09-07T07:40:14.1272893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1273402Z x = self.forward_features(x) 2025-09-07T07:40:14.1273925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1274456Z x = self.blocks(x) 2025-09-07T07:40:14.1274939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1275454Z x = self.bn1(x) 2025-09-07T07:40:14.1275879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1276354Z x = self.act(x) 2025-09-07T07:40:14.1276476Z 2025-09-07T07:40:14.1276613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1277131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1277590Z return mod(*inputs) 2025-09-07T07:40:14.1278046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1278556Z x = self.forward_features(x) 2025-09-07T07:40:14.1279079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1279609Z x = self.blocks(x) 2025-09-07T07:40:14.1280088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1280732Z x = self.conv_dw(x) 2025-09-07T07:40:14.1280875Z 2025-09-07T07:40:14.1281010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1281526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1281983Z return mod(*inputs) 2025-09-07T07:40:14.1282439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1282947Z x = self.forward_features(x) 2025-09-07T07:40:14.1283471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1284003Z x = self.blocks(x) 2025-09-07T07:40:14.1284481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1285000Z x = self.bn2(x) 2025-09-07T07:40:14.1285425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1285980Z x = self.act(x) 2025-09-07T07:40:14.1286100Z 2025-09-07T07:40:14.1286237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1286748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1287207Z return mod(*inputs) 2025-09-07T07:40:14.1287664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1288173Z x = self.forward_features(x) 2025-09-07T07:40:14.1288694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1289226Z x = self.blocks(x) 2025-09-07T07:40:14.1289709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1290236Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1290378Z 2025-09-07T07:40:14.1290516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1291031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1291489Z return mod(*inputs) 2025-09-07T07:40:14.1291944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1292450Z x = self.forward_features(x) 2025-09-07T07:40:14.1292968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1293502Z x = self.blocks(x) 2025-09-07T07:40:14.1293988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:40:14.1294523Z x = self.drop_path(x) + shortcut 2025-09-07T07:40:14.1294694Z 2025-09-07T07:40:14.1294831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1295350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1295810Z return mod(*inputs) 2025-09-07T07:40:14.1296271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1296779Z x = self.forward_features(x) 2025-09-07T07:40:14.1297297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1297829Z x = self.blocks(x) 2025-09-07T07:40:14.1298314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:40:14.1298837Z x = self.conv_pw(x) 2025-09-07T07:40:14.1298968Z 2025-09-07T07:40:14.1299105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1299612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1300076Z return mod(*inputs) 2025-09-07T07:40:14.1300675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1301194Z x = self.forward_features(x) 2025-09-07T07:40:14.1301713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1302244Z x = self.blocks(x) 2025-09-07T07:40:14.1302728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:40:14.1303244Z x = self.bn1(x) 2025-09-07T07:40:14.1303667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1304135Z x = self.act(x) 2025-09-07T07:40:14.1304256Z 2025-09-07T07:40:14.1304390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1304913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1305543Z return mod(*inputs) 2025-09-07T07:40:14.1306001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1306510Z x = self.forward_features(x) 2025-09-07T07:40:14.1307033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1307566Z x = self.blocks(x) 2025-09-07T07:40:14.1308047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:40:14.1308567Z x = self.conv_dw(x) 2025-09-07T07:40:14.1308698Z 2025-09-07T07:40:14.1308832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1309349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1309807Z return mod(*inputs) 2025-09-07T07:40:14.1310269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1310773Z x = self.forward_features(x) 2025-09-07T07:40:14.1311296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1311826Z x = self.blocks(x) 2025-09-07T07:40:14.1312307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:40:14.1312824Z x = self.bn2(x) 2025-09-07T07:40:14.1313246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:40:14.1313717Z x = self.act(x) 2025-09-07T07:40:14.1313836Z 2025-09-07T07:40:14.1313972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1314485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1314948Z return mod(*inputs) 2025-09-07T07:40:14.1315412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1315922Z x = self.forward_features(x) 2025-09-07T07:40:14.1316447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1316979Z x = self.blocks(x) 2025-09-07T07:40:14.1317464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:40:14.1317990Z x = self.conv_pwl(x) 2025-09-07T07:40:14.1318126Z 2025-09-07T07:40:14.1318263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1318776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1319237Z return mod(*inputs) 2025-09-07T07:40:14.1319882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1320409Z x = self.forward_features(x) 2025-09-07T07:40:14.1320930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:40:14.1321460Z x = self.blocks(x) 2025-09-07T07:40:14.1321942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:40:14.1322459Z x = self.bn3(x) 2025-09-07T07:40:14.1322880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:40:14.1323347Z x = F.batch_norm( 2025-09-07T07:40:14.1323476Z 2025-09-07T07:40:14.1323609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1324127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1324601Z return mod(*inputs) 2025-09-07T07:40:14.1325067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:40:14.1325707Z x = self.forward_features(x) 2025-09-07T07:40:14.1326232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T07:40:14.1326768Z x = self.conv_head(x) 2025-09-07T07:40:14.1326909Z 2025-09-07T07:40:14.1327010Z cudagraph partition due to non gpu ops 2025-09-07T07:40:14.1327324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1327837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1328296Z return mod(*inputs) 2025-09-07T07:40:14.1328756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:40:14.1329263Z x = self.forward_head(x) 2025-09-07T07:40:14.1329761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T07:40:14.1330290Z x = self.global_pool(x) 2025-09-07T07:40:14.1330795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T07:40:14.1331320Z x = self.pool(x) 2025-09-07T07:40:14.1331443Z 2025-09-07T07:40:14.1331577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:14.1332093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:40:14.1332556Z return mod(*inputs) 2025-09-07T07:40:14.1333015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:40:14.1333518Z x = self.forward_head(x) 2025-09-07T07:40:14.1334010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T07:40:14.1334574Z return x if pre_logits else self.classifier(x) 2025-09-07T07:40:14.1334798Z 2025-09-07T07:40:18.9391116Z pass 2025-09-07T07:40:18.9391600Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:19.9146276Z accuracy pass_rate=100.00% 2025-09-07T07:40:19.9151211Z calls_captured gmean=362.03x mean=490.500x 2025-09-07T07:40:19.9155200Z unique_graphs gmean=1.19x mean=1.250x 2025-09-07T07:40:19.9159174Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:19.9163163Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:19.9167200Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:40:19.9171065Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:40:19.9174912Z cudagraph_skips gmean=1.19x mean=1.250x 2025-09-07T07:40:19.9176212Z compilation_latency mean=24.962 seconds 2025-09-07T07:40:20.5203912Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cppwrapper-true* ]] 2025-09-07T07:40:20.5204623Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T07:40:20.5206421Z + 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 7 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:40:21.3653298Z /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. 2025-09-07T07:40:21.3654549Z import pynvml # type: ignore[import] 2025-09-07T07:40:25.4961435Z /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. 2025-09-07T07:40:25.4962991Z import pynvml # type: ignore[import] 2025-09-07T07:40:28.7900850Z 2025-09-07T07:40:29.0808324Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:29.0808599Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:29.0901044Z cpu eval levit_128 2025-09-07T07:40:29.2750233Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:29.4084450Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:29.5385859Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:42.6361415Z pass 2025-09-07T07:41:42.6363329Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:45.4067873Z /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. 2025-09-07T07:41:45.4069078Z import pynvml # type: ignore[import] 2025-09-07T07:41:48.7212067Z 2025-09-07T07:41:49.3980922Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:41:49.3981204Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:41:49.4067194Z cpu eval mixer_b16_224 2025-09-07T07:41:50.5267729Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:50.7625207Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:50.9956109Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:13.2644455Z pass 2025-09-07T07:42:13.2646339Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:15.2490687Z /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. 2025-09-07T07:42:15.2491875Z import pynvml # type: ignore[import] 2025-09-07T07:42:18.5440546Z 2025-09-07T07:42:19.4329217Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:19.4329521Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:19.4444412Z cpu eval mixnet_l 2025-09-07T07:42:20.6726219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:21.7603863Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:22.8328012Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:14.0661144Z pass 2025-09-07T07:43:14.0662376Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:16.3875933Z /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. 2025-09-07T07:43:16.3877108Z import pynvml # type: ignore[import] 2025-09-07T07:43:19.6873021Z 2025-09-07T07:43:20.1366997Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:20.1367284Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:20.1434040Z cpu eval mnasnet_100 2025-09-07T07:43:20.7636109Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:21.1918391Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:21.6154700Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:40.3390456Z pass 2025-09-07T07:43:40.3392172Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:41.5006182Z accuracy pass_rate=100.00% 2025-09-07T07:43:41.5011502Z calls_captured gmean=362.03x mean=490.500x 2025-09-07T07:43:41.5015659Z unique_graphs gmean=1.19x mean=1.250x 2025-09-07T07:43:41.5019733Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:43:41.5023717Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:43:41.5027806Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:43:41.5031734Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:43:41.5035634Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:43:41.5036979Z compilation_latency mean=40.795 seconds 2025-09-07T07:43:42.1122771Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing_cudagraphs-true* ]] 2025-09-07T07:43:42.1123918Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T07:43:42.1124994Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *aotinductor-true* ]] 2025-09-07T07:43:42.1125637Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:43:42.1125901Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:43:42.1127232Z + 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 7 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:43:42.9554423Z /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. 2025-09-07T07:43:42.9555600Z import pynvml # type: ignore[import] 2025-09-07T07:43:47.0817237Z /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. 2025-09-07T07:43:47.0818415Z import pynvml # type: ignore[import] 2025-09-07T07:43:50.3285316Z 2025-09-07T07:43:50.5905419Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:50.5905716Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:50.5995992Z cpu eval levit_128 2025-09-07T07:43:50.7831591Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:50.9162942Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:51.0457553Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:56.5884428Z pass 2025-09-07T07:43:56.5884887Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:58.2064976Z /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. 2025-09-07T07:43:58.2066148Z import pynvml # type: ignore[import] 2025-09-07T07:44:01.4575908Z 2025-09-07T07:44:02.1722858Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:02.1723135Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:02.1809035Z cpu eval mixer_b16_224 2025-09-07T07:44:03.3012877Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:03.5369143Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:03.7700952Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:05.8859996Z pass 2025-09-07T07:44:05.8860457Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:07.4967435Z /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. 2025-09-07T07:44:07.4968641Z import pynvml # type: ignore[import] 2025-09-07T07:44:10.8140183Z 2025-09-07T07:44:11.6895129Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:11.6895443Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:11.7016599Z cpu eval mixnet_l 2025-09-07T07:44:12.9212736Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:14.0117727Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:15.0937570Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:21.4728720Z pass 2025-09-07T07:44:21.4729186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:23.2138026Z /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. 2025-09-07T07:44:23.2139235Z import pynvml # type: ignore[import] 2025-09-07T07:44:26.4607648Z 2025-09-07T07:44:26.8961078Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:26.8961372Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:26.9025998Z cpu eval mnasnet_100 2025-09-07T07:44:27.5058374Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:27.9257490Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:28.3416825Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:31.6693499Z pass 2025-09-07T07:44:31.6693978Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:32.4683884Z accuracy pass_rate=100.00% 2025-09-07T07:44:32.4689317Z calls_captured gmean=391.70x mean=428.000x 2025-09-07T07:44:32.4693605Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T07:44:32.4697391Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:44:32.4701379Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:44:32.4705415Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:44:32.4709447Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:44:32.4713334Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:44:32.4714650Z compilation_latency mean=2.358 seconds 2025-09-07T07:44:33.0838782Z + 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 7 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:44:33.9287420Z /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. 2025-09-07T07:44:33.9288910Z import pynvml # type: ignore[import] 2025-09-07T07:44:38.0711242Z /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. 2025-09-07T07:44:38.0712414Z import pynvml # type: ignore[import] 2025-09-07T07:44:41.3126939Z 2025-09-07T07:44:41.5953086Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:41.5953374Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:41.6045770Z cpu eval levit_128 2025-09-07T07:44:41.7900669Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:41.9257213Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:42.0589646Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:10.6403067Z pass 2025-09-07T07:45:10.6404436Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:12.8281932Z /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. 2025-09-07T07:45:12.8283127Z import pynvml # type: ignore[import] 2025-09-07T07:45:16.0829475Z 2025-09-07T07:45:16.7556185Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:16.7556494Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:16.7638481Z cpu eval mixer_b16_224 2025-09-07T07:45:17.8807009Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:18.1153070Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:18.3474902Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:31.2271335Z pass 2025-09-07T07:45:31.2273012Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:33.2176055Z /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. 2025-09-07T07:45:33.2177223Z import pynvml # type: ignore[import] 2025-09-07T07:45:36.4781537Z 2025-09-07T07:45:37.3559821Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:37.3560511Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:45:37.3683461Z cpu eval mixnet_l 2025-09-07T07:45:38.5718515Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:39.6582534Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:40.7281754Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:04.4298164Z pass 2025-09-07T07:46:04.4301557Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:06.6659078Z /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. 2025-09-07T07:46:06.6660747Z import pynvml # type: ignore[import] 2025-09-07T07:46:09.9097962Z 2025-09-07T07:46:10.3437576Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:10.3437894Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:10.3504141Z cpu eval mnasnet_100 2025-09-07T07:46:10.9528097Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:11.3694379Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:11.7815932Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:23.8189096Z pass 2025-09-07T07:46:23.8190832Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:24.9315002Z accuracy pass_rate=100.00% 2025-09-07T07:46:24.9320339Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9324576Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9328448Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9332390Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9336373Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9340182Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9344039Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:46:24.9345325Z compilation_latency mean=0.000 seconds 2025-09-07T07:46:25.5328682Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *maxautotune-true* ]] 2025-09-07T07:46:25.5329782Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cudagraphs_low_precision-true* ]] 2025-09-07T07:46:25.5330491Z + for target in "${targets[@]}" 2025-09-07T07:46:25.5330750Z + target_flag=('--performance') 2025-09-07T07:46:25.5330981Z + local target_flag 2025-09-07T07:46:25.5331199Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:46:25.5331512Z + target_flag+=(--cold-start-latency) 2025-09-07T07:46:25.5332141Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:46:25.5333123Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:46:25.5334868Z + 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 7 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.csv 2025-09-07T07:46:26.3630470Z /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. 2025-09-07T07:46:26.3631952Z import pynvml # type: ignore[import] 2025-09-07T07:46:30.4385285Z /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. 2025-09-07T07:46:30.4386453Z import pynvml # type: ignore[import] 2025-09-07T07:46:33.6905858Z 2025-09-07T07:46:38.1021123Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:38.1021406Z loading model: 0it [00:04, ?it/s] 2025-09-07T07:46:38.1149170Z cpu eval levit_128 2025-09-07T07:47:51.8796690Z 2025-09-07T07:47:56.9544942Z running benchmark: 0% 0/30 [00:00 2025-09-07T08:24:15.5502084Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5502322Z 2025-09-07T08:24:15.5502419Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5502741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5503259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5503724Z return mod(*inputs) 2025-09-07T08:24:15.5504186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5504700Z x = self.forward_features(x) 2025-09-07T08:24:15.5505499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5506046Z x = self.blocks(x) 2025-09-07T08:24:15.5506532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5507056Z x = self.conv_pw(x) 2025-09-07T08:24:15.5507516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5508072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5508638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5509209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5509442Z 2025-09-07T08:24:15.5509541Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5509821Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5510138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5510762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5511223Z return mod(*inputs) 2025-09-07T08:24:15.5511701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5512224Z x = self.forward_features(x) 2025-09-07T08:24:15.5512753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5513292Z x = self.blocks(x) 2025-09-07T08:24:15.5513777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5514309Z x = self.conv_pw(x) 2025-09-07T08:24:15.5514763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5515351Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5515501Z 2025-09-07T08:24:15.5515643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5516160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5516620Z return mod(*inputs) 2025-09-07T08:24:15.5517083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5517598Z x = self.forward_features(x) 2025-09-07T08:24:15.5518121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5518663Z x = self.blocks(x) 2025-09-07T08:24:15.5519150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5519673Z x = self.bn1(x) 2025-09-07T08:24:15.5520103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5520584Z x = self.act(x) 2025-09-07T08:24:15.5520707Z 2025-09-07T08:24:15.5520842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5521359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5521820Z return mod(*inputs) 2025-09-07T08:24:15.5522285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5522799Z x = self.forward_features(x) 2025-09-07T08:24:15.5523325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5523862Z x = self.blocks(x) 2025-09-07T08:24:15.5524346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5524865Z x = self.conv_dw(x) 2025-09-07T08:24:15.5525430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5526009Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5526934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5527505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5527740Z 2025-09-07T08:24:15.5527877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5528388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5528852Z return mod(*inputs) 2025-09-07T08:24:15.5529315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5529823Z x = self.forward_features(x) 2025-09-07T08:24:15.5530350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5530968Z x = self.blocks(x) 2025-09-07T08:24:15.5531459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5531987Z x = self.conv_dw(x) 2025-09-07T08:24:15.5532435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5532988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5533554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5534121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5534356Z 2025-09-07T08:24:15.5534499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5535013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5535538Z return mod(*inputs) 2025-09-07T08:24:15.5536004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5536515Z x = self.forward_features(x) 2025-09-07T08:24:15.5537033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5537568Z x = self.blocks(x) 2025-09-07T08:24:15.5538053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5538578Z x = self.conv_dw(x) 2025-09-07T08:24:15.5539025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5539571Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5540140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5540722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5540955Z 2025-09-07T08:24:15.5541056Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5541335Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5541612Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5541926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5542442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5542902Z return mod(*inputs) 2025-09-07T08:24:15.5543361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5543872Z x = self.forward_features(x) 2025-09-07T08:24:15.5544399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5544932Z x = self.blocks(x) 2025-09-07T08:24:15.5545548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5546088Z x = self.conv_dw(x) 2025-09-07T08:24:15.5546542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5547036Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5547180Z 2025-09-07T08:24:15.5547316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5547827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5548283Z return mod(*inputs) 2025-09-07T08:24:15.5548742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5549256Z x = self.forward_features(x) 2025-09-07T08:24:15.5549779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5550314Z x = self.blocks(x) 2025-09-07T08:24:15.5550881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:24:15.5551402Z x = self.bn2(x) 2025-09-07T08:24:15.5551829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5552298Z x = self.act(x) 2025-09-07T08:24:15.5552421Z 2025-09-07T08:24:15.5552555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5553073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5553534Z return mod(*inputs) 2025-09-07T08:24:15.5553990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5554501Z x = self.forward_features(x) 2025-09-07T08:24:15.5555030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5555642Z x = self.blocks(x) 2025-09-07T08:24:15.5556128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5556654Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5557107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5557657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5558225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5558789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5559022Z 2025-09-07T08:24:15.5559156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5559670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5560131Z return mod(*inputs) 2025-09-07T08:24:15.5560600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5561106Z x = self.forward_features(x) 2025-09-07T08:24:15.5561631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5562162Z x = self.blocks(x) 2025-09-07T08:24:15.5562648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5563176Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5563629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5564185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5564751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5565433Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5565678Z 2025-09-07T08:24:15.5565779Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5566058Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5566376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5566892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5567357Z return mod(*inputs) 2025-09-07T08:24:15.5567812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5568320Z x = self.forward_features(x) 2025-09-07T08:24:15.5568850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5569384Z x = self.blocks(x) 2025-09-07T08:24:15.5569867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5570465Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5570928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5571422Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5571568Z 2025-09-07T08:24:15.5571705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5572218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5572678Z return mod(*inputs) 2025-09-07T08:24:15.5573135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5573644Z x = self.forward_features(x) 2025-09-07T08:24:15.5574169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5574702Z x = self.blocks(x) 2025-09-07T08:24:15.5575267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:24:15.5575794Z x = self.bn3(x) 2025-09-07T08:24:15.5576224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.5576691Z x = F.batch_norm( 2025-09-07T08:24:15.5576823Z 2025-09-07T08:24:15.5576956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5577470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5577930Z return mod(*inputs) 2025-09-07T08:24:15.5578387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5578899Z x = self.forward_features(x) 2025-09-07T08:24:15.5579428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5579960Z x = self.blocks(x) 2025-09-07T08:24:15.5580450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5580973Z x = self.conv_pw(x) 2025-09-07T08:24:15.5581421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5581977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5582544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5583110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5583346Z 2025-09-07T08:24:15.5583481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5583997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5584457Z return mod(*inputs) 2025-09-07T08:24:15.5585027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5585548Z x = self.forward_features(x) 2025-09-07T08:24:15.5586077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5586615Z x = self.blocks(x) 2025-09-07T08:24:15.5587098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5587625Z x = self.conv_pw(x) 2025-09-07T08:24:15.5588069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5588616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5589181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5589748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5590045Z 2025-09-07T08:24:15.5590151Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5590427Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5590746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5591261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5591724Z return mod(*inputs) 2025-09-07T08:24:15.5592179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5592703Z x = self.forward_features(x) 2025-09-07T08:24:15.5593228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5593761Z x = self.blocks(x) 2025-09-07T08:24:15.5594240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5594832Z x = self.conv_pw(x) 2025-09-07T08:24:15.5595293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5595784Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5595928Z 2025-09-07T08:24:15.5596071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5596585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5597045Z return mod(*inputs) 2025-09-07T08:24:15.5597500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5598011Z x = self.forward_features(x) 2025-09-07T08:24:15.5598534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5599063Z x = self.blocks(x) 2025-09-07T08:24:15.5599549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5600078Z x = self.bn1(x) 2025-09-07T08:24:15.5600500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5600966Z x = self.act(x) 2025-09-07T08:24:15.5601088Z 2025-09-07T08:24:15.5601222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5601735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5602198Z return mod(*inputs) 2025-09-07T08:24:15.5602653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5603158Z x = self.forward_features(x) 2025-09-07T08:24:15.5603689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5604219Z x = self.blocks(x) 2025-09-07T08:24:15.5604805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5605417Z x = self.conv_dw(x) 2025-09-07T08:24:15.5605554Z 2025-09-07T08:24:15.5605689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5606205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5606668Z return mod(*inputs) 2025-09-07T08:24:15.5607126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5607632Z x = self.forward_features(x) 2025-09-07T08:24:15.5608157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5608689Z x = self.blocks(x) 2025-09-07T08:24:15.5609171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:24:15.5609693Z x = self.bn2(x) 2025-09-07T08:24:15.5610266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5610741Z x = self.act(x) 2025-09-07T08:24:15.5610858Z 2025-09-07T08:24:15.5610996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5611513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5611968Z return mod(*inputs) 2025-09-07T08:24:15.5612424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5612932Z x = self.forward_features(x) 2025-09-07T08:24:15.5613454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5613981Z x = self.blocks(x) 2025-09-07T08:24:15.5614467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5616158Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5616619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5617179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5617745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5618312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5618547Z 2025-09-07T08:24:15.5618681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5619198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5619667Z return mod(*inputs) 2025-09-07T08:24:15.5620124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5620634Z x = self.forward_features(x) 2025-09-07T08:24:15.5621170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5621705Z x = self.blocks(x) 2025-09-07T08:24:15.5622183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5622713Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5623170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5623721Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5624289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5624851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5625095Z 2025-09-07T08:24:15.5625193Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5625488Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5625974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5626506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5626969Z return mod(*inputs) 2025-09-07T08:24:15.5627429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5627940Z x = self.forward_features(x) 2025-09-07T08:24:15.5628466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5628993Z x = self.blocks(x) 2025-09-07T08:24:15.5629471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5630001Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5630454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5631026Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5631175Z 2025-09-07T08:24:15.5631314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5631834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5632294Z return mod(*inputs) 2025-09-07T08:24:15.5632756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5633264Z x = self.forward_features(x) 2025-09-07T08:24:15.5633789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5634322Z x = self.blocks(x) 2025-09-07T08:24:15.5634807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.5635340Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.5635579Z 2025-09-07T08:24:15.5635731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5636249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5636714Z return mod(*inputs) 2025-09-07T08:24:15.5637170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5637676Z x = self.forward_features(x) 2025-09-07T08:24:15.5638200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5638738Z x = self.blocks(x) 2025-09-07T08:24:15.5639220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5639740Z x = self.conv_pw(x) 2025-09-07T08:24:15.5639878Z 2025-09-07T08:24:15.5640014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5640537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5640999Z return mod(*inputs) 2025-09-07T08:24:15.5641458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5641966Z x = self.forward_features(x) 2025-09-07T08:24:15.5642493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5643024Z x = self.blocks(x) 2025-09-07T08:24:15.5643503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5644015Z x = self.bn1(x) 2025-09-07T08:24:15.5644439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.5644919Z x = F.batch_norm( 2025-09-07T08:24:15.5645045Z 2025-09-07T08:24:15.5645188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5645811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5646280Z return mod(*inputs) 2025-09-07T08:24:15.5646741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5647256Z x = self.forward_features(x) 2025-09-07T08:24:15.5647781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5648312Z x = self.blocks(x) 2025-09-07T08:24:15.5648790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5649309Z x = self.bn1(x) 2025-09-07T08:24:15.5649730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5650205Z x = self.act(x) 2025-09-07T08:24:15.5650321Z 2025-09-07T08:24:15.5650481Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5650804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5651318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5651778Z return mod(*inputs) 2025-09-07T08:24:15.5652235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5652744Z x = self.forward_features(x) 2025-09-07T08:24:15.5653270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5653801Z x = self.blocks(x) 2025-09-07T08:24:15.5654278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5654800Z x = self.conv_dw(x) 2025-09-07T08:24:15.5655247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5655871Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5656439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5657007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5657241Z 2025-09-07T08:24:15.5657338Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5657657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5658179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5658640Z return mod(*inputs) 2025-09-07T08:24:15.5659096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5659605Z x = self.forward_features(x) 2025-09-07T08:24:15.5660132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5660666Z x = self.blocks(x) 2025-09-07T08:24:15.5661147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5661667Z x = self.conv_dw(x) 2025-09-07T08:24:15.5662117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5662668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5663236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5663797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5664032Z 2025-09-07T08:24:15.5664130Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5664447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5665060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5665536Z return mod(*inputs) 2025-09-07T08:24:15.5665992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5666506Z x = self.forward_features(x) 2025-09-07T08:24:15.5667035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5667567Z x = self.blocks(x) 2025-09-07T08:24:15.5668045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5668567Z x = self.conv_dw(x) 2025-09-07T08:24:15.5669014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5669564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5670132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5670755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5670992Z 2025-09-07T08:24:15.5671089Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5671406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5671918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5672373Z return mod(*inputs) 2025-09-07T08:24:15.5672833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5673343Z x = self.forward_features(x) 2025-09-07T08:24:15.5673868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5674398Z x = self.blocks(x) 2025-09-07T08:24:15.5674943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5675470Z x = self.conv_dw(x) 2025-09-07T08:24:15.5675916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5676478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5677040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5677606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5677843Z 2025-09-07T08:24:15.5677939Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5678221Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5678498Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5678775Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5679090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5679608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5680071Z return mod(*inputs) 2025-09-07T08:24:15.5680528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5681040Z x = self.forward_features(x) 2025-09-07T08:24:15.5681566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5682099Z x = self.blocks(x) 2025-09-07T08:24:15.5682580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5683098Z x = self.conv_dw(x) 2025-09-07T08:24:15.5683550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5684044Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5684191Z 2025-09-07T08:24:15.5684291Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5684714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5685238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5685697Z return mod(*inputs) 2025-09-07T08:24:15.5686157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5686666Z x = self.forward_features(x) 2025-09-07T08:24:15.5687184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5687716Z x = self.blocks(x) 2025-09-07T08:24:15.5688201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5688715Z x = self.se(x) 2025-09-07T08:24:15.5689176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.5689794Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.5689975Z 2025-09-07T08:24:15.5690112Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5690629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5691090Z return mod(*inputs) 2025-09-07T08:24:15.5691544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5692053Z x = self.forward_features(x) 2025-09-07T08:24:15.5692581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5693114Z x = self.blocks(x) 2025-09-07T08:24:15.5693593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5694110Z x = self.se(x) 2025-09-07T08:24:15.5694656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.5695196Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.5695359Z 2025-09-07T08:24:15.5695496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5696009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5696471Z return mod(*inputs) 2025-09-07T08:24:15.5696930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5697440Z x = self.forward_features(x) 2025-09-07T08:24:15.5697964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5698501Z x = self.blocks(x) 2025-09-07T08:24:15.5698979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5699506Z x = self.se(x) 2025-09-07T08:24:15.5699974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.5700497Z x_se = self.act1(x_se) 2025-09-07T08:24:15.5700641Z 2025-09-07T08:24:15.5700775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5701294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5701751Z return mod(*inputs) 2025-09-07T08:24:15.5702209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5702722Z x = self.forward_features(x) 2025-09-07T08:24:15.5703245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5703777Z x = self.blocks(x) 2025-09-07T08:24:15.5704258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5704894Z x = self.se(x) 2025-09-07T08:24:15.5705471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.5706004Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.5706169Z 2025-09-07T08:24:15.5706309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5706821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5707278Z return mod(*inputs) 2025-09-07T08:24:15.5707737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5708249Z x = self.forward_features(x) 2025-09-07T08:24:15.5708772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5709302Z x = self.blocks(x) 2025-09-07T08:24:15.5709906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5710426Z x = self.se(x) 2025-09-07T08:24:15.5710893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.5711418Z return x * self.gate(x_se) 2025-09-07T08:24:15.5711573Z 2025-09-07T08:24:15.5711709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5712224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5712679Z return mod(*inputs) 2025-09-07T08:24:15.5713139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5713646Z x = self.forward_features(x) 2025-09-07T08:24:15.5714167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5714790Z x = self.blocks(x) 2025-09-07T08:24:15.5715277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5715790Z x = self.se(x) 2025-09-07T08:24:15.5716255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.5716784Z return x * self.gate(x_se) 2025-09-07T08:24:15.5716938Z 2025-09-07T08:24:15.5717076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5717594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5718051Z return mod(*inputs) 2025-09-07T08:24:15.5718511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5719021Z x = self.forward_features(x) 2025-09-07T08:24:15.5719552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5720087Z x = self.blocks(x) 2025-09-07T08:24:15.5720562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5721088Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5721227Z 2025-09-07T08:24:15.5721366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5721882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5722339Z return mod(*inputs) 2025-09-07T08:24:15.5722799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5723306Z x = self.forward_features(x) 2025-09-07T08:24:15.5723828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5724365Z x = self.blocks(x) 2025-09-07T08:24:15.5724993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:24:15.5725533Z x = self.bn3(x) 2025-09-07T08:24:15.5725957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.5726434Z x = F.batch_norm( 2025-09-07T08:24:15.5726563Z 2025-09-07T08:24:15.5726696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5727212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5727669Z return mod(*inputs) 2025-09-07T08:24:15.5728126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5728635Z x = self.forward_features(x) 2025-09-07T08:24:15.5729156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5729753Z x = self.blocks(x) 2025-09-07T08:24:15.5730237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5730761Z x = self.conv_pw(x) 2025-09-07T08:24:15.5731209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5731761Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5732325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5732891Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5733122Z 2025-09-07T08:24:15.5733260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5733770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5734294Z return mod(*inputs) 2025-09-07T08:24:15.5734760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5735269Z x = self.forward_features(x) 2025-09-07T08:24:15.5735790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5736322Z x = self.blocks(x) 2025-09-07T08:24:15.5736802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5737327Z x = self.conv_pw(x) 2025-09-07T08:24:15.5737776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5738324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5738891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5739461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5739700Z 2025-09-07T08:24:15.5739804Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5740082Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5740401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5740915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5741375Z return mod(*inputs) 2025-09-07T08:24:15.5741834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5742341Z x = self.forward_features(x) 2025-09-07T08:24:15.5742868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5743403Z x = self.blocks(x) 2025-09-07T08:24:15.5743883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5744511Z x = self.conv_pw(x) 2025-09-07T08:24:15.5744982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5745477Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5745622Z 2025-09-07T08:24:15.5745761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5746280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5746733Z return mod(*inputs) 2025-09-07T08:24:15.5747193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5747704Z x = self.forward_features(x) 2025-09-07T08:24:15.5748230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5748758Z x = self.blocks(x) 2025-09-07T08:24:15.5749246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5749835Z x = self.bn1(x) 2025-09-07T08:24:15.5750262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.5750736Z x = F.batch_norm( 2025-09-07T08:24:15.5750865Z 2025-09-07T08:24:15.5750998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5751519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5751976Z return mod(*inputs) 2025-09-07T08:24:15.5752436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5752942Z x = self.forward_features(x) 2025-09-07T08:24:15.5753463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5754061Z x = self.blocks(x) 2025-09-07T08:24:15.5754557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5755074Z x = self.bn1(x) 2025-09-07T08:24:15.5755493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5755965Z x = self.act(x) 2025-09-07T08:24:15.5756090Z 2025-09-07T08:24:15.5756187Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5756509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5757020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5757481Z return mod(*inputs) 2025-09-07T08:24:15.5757938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5758446Z x = self.forward_features(x) 2025-09-07T08:24:15.5758972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5759503Z x = self.blocks(x) 2025-09-07T08:24:15.5759985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5760505Z x = self.conv_dw(x) 2025-09-07T08:24:15.5760955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5761505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5762076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5762643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5762879Z 2025-09-07T08:24:15.5762980Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5763298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5763939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5764418Z return mod(*inputs) 2025-09-07T08:24:15.5764891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5765400Z x = self.forward_features(x) 2025-09-07T08:24:15.5765920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5781240Z x = self.blocks(x) 2025-09-07T08:24:15.5781816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5782353Z x = self.conv_dw(x) 2025-09-07T08:24:15.5782813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5783380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5783973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5784686Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5784922Z 2025-09-07T08:24:15.5785024Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5785308Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5785628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5786155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5786618Z return mod(*inputs) 2025-09-07T08:24:15.5787085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5787603Z x = self.forward_features(x) 2025-09-07T08:24:15.5788136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5788746Z x = self.blocks(x) 2025-09-07T08:24:15.5789240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5789770Z x = self.conv_dw(x) 2025-09-07T08:24:15.5790223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5790720Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5790867Z 2025-09-07T08:24:15.5790964Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5791286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5791803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5792264Z return mod(*inputs) 2025-09-07T08:24:15.5792726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5793234Z x = self.forward_features(x) 2025-09-07T08:24:15.5793770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5794309Z x = self.blocks(x) 2025-09-07T08:24:15.5794793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5795313Z x = self.se(x) 2025-09-07T08:24:15.5795781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.5796317Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.5796496Z 2025-09-07T08:24:15.5796638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5797163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5797622Z return mod(*inputs) 2025-09-07T08:24:15.5798082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5798596Z x = self.forward_features(x) 2025-09-07T08:24:15.5799241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5799791Z x = self.blocks(x) 2025-09-07T08:24:15.5800273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5800790Z x = self.se(x) 2025-09-07T08:24:15.5801257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.5801787Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.5801953Z 2025-09-07T08:24:15.5802086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5802607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5803065Z return mod(*inputs) 2025-09-07T08:24:15.5803531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5804108Z x = self.forward_features(x) 2025-09-07T08:24:15.5804636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5805246Z x = self.blocks(x) 2025-09-07T08:24:15.5805727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5806241Z x = self.se(x) 2025-09-07T08:24:15.5806703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.5807228Z x_se = self.act1(x_se) 2025-09-07T08:24:15.5807375Z 2025-09-07T08:24:15.5807510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5808028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5808597Z return mod(*inputs) 2025-09-07T08:24:15.5809062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5809572Z x = self.forward_features(x) 2025-09-07T08:24:15.5810099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5810630Z x = self.blocks(x) 2025-09-07T08:24:15.5811107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5811622Z x = self.se(x) 2025-09-07T08:24:15.5812087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.5812616Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.5812782Z 2025-09-07T08:24:15.5812919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5813433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5813902Z return mod(*inputs) 2025-09-07T08:24:15.5814363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5814870Z x = self.forward_features(x) 2025-09-07T08:24:15.5815389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5815921Z x = self.blocks(x) 2025-09-07T08:24:15.5816404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5816920Z x = self.se(x) 2025-09-07T08:24:15.5817384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.5817907Z return x * self.gate(x_se) 2025-09-07T08:24:15.5818065Z 2025-09-07T08:24:15.5818199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5818863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5819353Z return mod(*inputs) 2025-09-07T08:24:15.5819809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5820318Z x = self.forward_features(x) 2025-09-07T08:24:15.5820845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5821375Z x = self.blocks(x) 2025-09-07T08:24:15.5821859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5822371Z x = self.se(x) 2025-09-07T08:24:15.5822836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.5823364Z return x * self.gate(x_se) 2025-09-07T08:24:15.5823522Z 2025-09-07T08:24:15.5823623Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5824023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5824540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5824997Z return mod(*inputs) 2025-09-07T08:24:15.5825457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5825966Z x = self.forward_features(x) 2025-09-07T08:24:15.5826486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5827015Z x = self.blocks(x) 2025-09-07T08:24:15.5827499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5828026Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5828478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5829097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5829669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5830237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5830472Z 2025-09-07T08:24:15.5830575Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5830891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5831406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5831868Z return mod(*inputs) 2025-09-07T08:24:15.5832331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5832838Z x = self.forward_features(x) 2025-09-07T08:24:15.5833365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5833905Z x = self.blocks(x) 2025-09-07T08:24:15.5834388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5834913Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5835366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5835920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5836486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5837054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5837287Z 2025-09-07T08:24:15.5837389Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5837669Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5837985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5838612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5839085Z return mod(*inputs) 2025-09-07T08:24:15.5839545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5840055Z x = self.forward_features(x) 2025-09-07T08:24:15.5840582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5841115Z x = self.blocks(x) 2025-09-07T08:24:15.5841594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5842122Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5842576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5843070Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5843217Z 2025-09-07T08:24:15.5843358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5843935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5844397Z return mod(*inputs) 2025-09-07T08:24:15.5844854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5845364Z x = self.forward_features(x) 2025-09-07T08:24:15.5845883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5846417Z x = self.blocks(x) 2025-09-07T08:24:15.5846899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.5847431Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.5847602Z 2025-09-07T08:24:15.5847741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5848312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5848774Z return mod(*inputs) 2025-09-07T08:24:15.5849237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5849742Z x = self.forward_features(x) 2025-09-07T08:24:15.5850261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5850793Z x = self.blocks(x) 2025-09-07T08:24:15.5851271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5851794Z x = self.conv_pw(x) 2025-09-07T08:24:15.5852239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5852791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5853361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5853929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5854164Z 2025-09-07T08:24:15.5854306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5854818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5855278Z return mod(*inputs) 2025-09-07T08:24:15.5855738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5856249Z x = self.forward_features(x) 2025-09-07T08:24:15.5856777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5857309Z x = self.blocks(x) 2025-09-07T08:24:15.5857793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5858445Z x = self.conv_pw(x) 2025-09-07T08:24:15.5858901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5859452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5860020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5860587Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5860820Z 2025-09-07T08:24:15.5860919Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5861196Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5861508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5862022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5862484Z return mod(*inputs) 2025-09-07T08:24:15.5862947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5863513Z x = self.forward_features(x) 2025-09-07T08:24:15.5864040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5864576Z x = self.blocks(x) 2025-09-07T08:24:15.5865061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5865581Z x = self.conv_pw(x) 2025-09-07T08:24:15.5866031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5866526Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5866673Z 2025-09-07T08:24:15.5866807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5867320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5867841Z return mod(*inputs) 2025-09-07T08:24:15.5868320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5868832Z x = self.forward_features(x) 2025-09-07T08:24:15.5869355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5869889Z x = self.blocks(x) 2025-09-07T08:24:15.5870368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5870887Z x = self.bn1(x) 2025-09-07T08:24:15.5871306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.5871777Z x = F.batch_norm( 2025-09-07T08:24:15.5871903Z 2025-09-07T08:24:15.5872036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5872551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5873018Z return mod(*inputs) 2025-09-07T08:24:15.5873474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5873983Z x = self.forward_features(x) 2025-09-07T08:24:15.5874502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5875032Z x = self.blocks(x) 2025-09-07T08:24:15.5875515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5876035Z x = self.bn1(x) 2025-09-07T08:24:15.5876454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5876923Z x = self.act(x) 2025-09-07T08:24:15.5877043Z 2025-09-07T08:24:15.5877141Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5877461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5878083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5878550Z return mod(*inputs) 2025-09-07T08:24:15.5879006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5879514Z x = self.forward_features(x) 2025-09-07T08:24:15.5880039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5880564Z x = self.blocks(x) 2025-09-07T08:24:15.5881047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5881568Z x = self.conv_dw(x) 2025-09-07T08:24:15.5882016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5882566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5883192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5883762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5883996Z 2025-09-07T08:24:15.5884095Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5884411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5884921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5885380Z return mod(*inputs) 2025-09-07T08:24:15.5885842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5886350Z x = self.forward_features(x) 2025-09-07T08:24:15.5886876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5887463Z x = self.blocks(x) 2025-09-07T08:24:15.5887951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5888473Z x = self.conv_dw(x) 2025-09-07T08:24:15.5888922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5889467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5890031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5890593Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5890825Z 2025-09-07T08:24:15.5890924Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5891203Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5891511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5892021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5892487Z return mod(*inputs) 2025-09-07T08:24:15.5892949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5893456Z x = self.forward_features(x) 2025-09-07T08:24:15.5893978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5894509Z x = self.blocks(x) 2025-09-07T08:24:15.5894991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5895515Z x = self.conv_dw(x) 2025-09-07T08:24:15.5895959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5896452Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5896599Z 2025-09-07T08:24:15.5896695Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5897015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5897635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5898125Z return mod(*inputs) 2025-09-07T08:24:15.5898595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5899105Z x = self.forward_features(x) 2025-09-07T08:24:15.5899627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5900154Z x = self.blocks(x) 2025-09-07T08:24:15.5900634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5901149Z x = self.se(x) 2025-09-07T08:24:15.5901614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.5902147Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.5902388Z 2025-09-07T08:24:15.5902533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5903060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5903522Z return mod(*inputs) 2025-09-07T08:24:15.5903979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5904481Z x = self.forward_features(x) 2025-09-07T08:24:15.5905002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5905621Z x = self.blocks(x) 2025-09-07T08:24:15.5906108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5906622Z x = self.se(x) 2025-09-07T08:24:15.5907085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.5907734Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.5907899Z 2025-09-07T08:24:15.5908036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5908547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5908999Z return mod(*inputs) 2025-09-07T08:24:15.5909454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5909960Z x = self.forward_features(x) 2025-09-07T08:24:15.5910482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5911009Z x = self.blocks(x) 2025-09-07T08:24:15.5911488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5912007Z x = self.se(x) 2025-09-07T08:24:15.5912477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.5913002Z x_se = self.act1(x_se) 2025-09-07T08:24:15.5913144Z 2025-09-07T08:24:15.5913277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5913791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5914248Z return mod(*inputs) 2025-09-07T08:24:15.5914703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5915208Z x = self.forward_features(x) 2025-09-07T08:24:15.5915728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5916257Z x = self.blocks(x) 2025-09-07T08:24:15.5916733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5917252Z x = self.se(x) 2025-09-07T08:24:15.5917874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.5918426Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.5918595Z 2025-09-07T08:24:15.5918728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5919242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5919697Z return mod(*inputs) 2025-09-07T08:24:15.5920150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5920660Z x = self.forward_features(x) 2025-09-07T08:24:15.5921183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5921714Z x = self.blocks(x) 2025-09-07T08:24:15.5922187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5922796Z x = self.se(x) 2025-09-07T08:24:15.5923262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.5923790Z return x * self.gate(x_se) 2025-09-07T08:24:15.5923944Z 2025-09-07T08:24:15.5924080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5924593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5925052Z return mod(*inputs) 2025-09-07T08:24:15.5925506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5926013Z x = self.forward_features(x) 2025-09-07T08:24:15.5926531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5927149Z x = self.blocks(x) 2025-09-07T08:24:15.5927635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5928152Z x = self.se(x) 2025-09-07T08:24:15.5928615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.5929138Z return x * self.gate(x_se) 2025-09-07T08:24:15.5929296Z 2025-09-07T08:24:15.5929393Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5929707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5930221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5930674Z return mod(*inputs) 2025-09-07T08:24:15.5931130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5931639Z x = self.forward_features(x) 2025-09-07T08:24:15.5932173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5932705Z x = self.blocks(x) 2025-09-07T08:24:15.5933182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5933707Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5934162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5934715Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5935279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5935847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5936085Z 2025-09-07T08:24:15.5936185Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5936502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5937129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5937600Z return mod(*inputs) 2025-09-07T08:24:15.5938060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5938565Z x = self.forward_features(x) 2025-09-07T08:24:15.5939088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5939614Z x = self.blocks(x) 2025-09-07T08:24:15.5940096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5940620Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5941076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5941625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5942190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5942822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5943068Z 2025-09-07T08:24:15.5943168Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5943448Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5943760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5944275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5944735Z return mod(*inputs) 2025-09-07T08:24:15.5945198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5945706Z x = self.forward_features(x) 2025-09-07T08:24:15.5946228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5946821Z x = self.blocks(x) 2025-09-07T08:24:15.5947308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.5947834Z x = self.conv_pwl(x) 2025-09-07T08:24:15.5948283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5948773Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5948921Z 2025-09-07T08:24:15.5949055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5949570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5950028Z return mod(*inputs) 2025-09-07T08:24:15.5950483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5950991Z x = self.forward_features(x) 2025-09-07T08:24:15.5951516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5952056Z x = self.blocks(x) 2025-09-07T08:24:15.5952532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.5953068Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.5953244Z 2025-09-07T08:24:15.5953380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5953896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5954355Z return mod(*inputs) 2025-09-07T08:24:15.5954809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5955318Z x = self.forward_features(x) 2025-09-07T08:24:15.5955840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5956373Z x = self.blocks(x) 2025-09-07T08:24:15.5956983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5957528Z x = self.conv_pw(x) 2025-09-07T08:24:15.5957976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5958529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5959092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5959655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5959890Z 2025-09-07T08:24:15.5960024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5960536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5960996Z return mod(*inputs) 2025-09-07T08:24:15.5961454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5962026Z x = self.forward_features(x) 2025-09-07T08:24:15.5962558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5963090Z x = self.blocks(x) 2025-09-07T08:24:15.5963568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5964088Z x = self.conv_pw(x) 2025-09-07T08:24:15.5964535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5965086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5965653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5966216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5966508Z 2025-09-07T08:24:15.5966609Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5966891Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5967207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5967721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5968173Z return mod(*inputs) 2025-09-07T08:24:15.5968632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5969143Z x = self.forward_features(x) 2025-09-07T08:24:15.5969670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5970204Z x = self.blocks(x) 2025-09-07T08:24:15.5970679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.5971204Z x = self.conv_pw(x) 2025-09-07T08:24:15.5971658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5972158Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5972302Z 2025-09-07T08:24:15.5972437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5972955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5973412Z return mod(*inputs) 2025-09-07T08:24:15.5973871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5974379Z x = self.forward_features(x) 2025-09-07T08:24:15.5974900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5975434Z x = self.blocks(x) 2025-09-07T08:24:15.5975913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5976439Z x = self.bn1(x) 2025-09-07T08:24:15.5976968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.5977444Z x = F.batch_norm( 2025-09-07T08:24:15.5977574Z 2025-09-07T08:24:15.5977708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5978225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5978680Z return mod(*inputs) 2025-09-07T08:24:15.5979136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5979643Z x = self.forward_features(x) 2025-09-07T08:24:15.5980166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5980698Z x = self.blocks(x) 2025-09-07T08:24:15.5981172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.5981316Z x = self.bn1(x) 2025-09-07T08:24:15.5981623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.5981695Z x = self.act(x) 2025-09-07T08:24:15.5981699Z 2025-09-07T08:24:15.5981795Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5981930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5982222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5982298Z return mod(*inputs) 2025-09-07T08:24:15.5982630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5982715Z x = self.forward_features(x) 2025-09-07T08:24:15.5983082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5983207Z x = self.blocks(x) 2025-09-07T08:24:15.5983569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5983647Z x = self.conv_dw(x) 2025-09-07T08:24:15.5983968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5984106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5984438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5984575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5984580Z 2025-09-07T08:24:15.5984682Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5984818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5985109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5985186Z return mod(*inputs) 2025-09-07T08:24:15.5985520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5985610Z x = self.forward_features(x) 2025-09-07T08:24:15.5985972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5986049Z x = self.blocks(x) 2025-09-07T08:24:15.5986403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5986475Z x = self.conv_dw(x) 2025-09-07T08:24:15.5986796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.5986933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5987269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.5987502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.5987506Z 2025-09-07T08:24:15.5987614Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5987711Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5987845Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5988139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5988212Z return mod(*inputs) 2025-09-07T08:24:15.5988543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5988628Z x = self.forward_features(x) 2025-09-07T08:24:15.5988992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5989067Z x = self.blocks(x) 2025-09-07T08:24:15.5989420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.5989588Z x = self.conv_dw(x) 2025-09-07T08:24:15.5989913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.5989991Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.5989996Z 2025-09-07T08:24:15.5990094Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.5990229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5990518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5990593Z return mod(*inputs) 2025-09-07T08:24:15.5990922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5991010Z x = self.forward_features(x) 2025-09-07T08:24:15.5991375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5991505Z x = self.blocks(x) 2025-09-07T08:24:15.5991866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5991937Z x = self.se(x) 2025-09-07T08:24:15.5992286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.5992373Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.5992378Z 2025-09-07T08:24:15.5992517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5992804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5992883Z return mod(*inputs) 2025-09-07T08:24:15.5993213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5993298Z x = self.forward_features(x) 2025-09-07T08:24:15.5993674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5993750Z x = self.blocks(x) 2025-09-07T08:24:15.5994107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5994176Z x = self.se(x) 2025-09-07T08:24:15.5994528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.5994615Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.5994620Z 2025-09-07T08:24:15.5994755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5995045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5995118Z return mod(*inputs) 2025-09-07T08:24:15.5995447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5995535Z x = self.forward_features(x) 2025-09-07T08:24:15.5995991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5996070Z x = self.blocks(x) 2025-09-07T08:24:15.5996427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5996502Z x = self.se(x) 2025-09-07T08:24:15.5996853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.5996931Z x_se = self.act1(x_se) 2025-09-07T08:24:15.5996935Z 2025-09-07T08:24:15.5997073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5997360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5997439Z return mod(*inputs) 2025-09-07T08:24:15.5997768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.5997913Z x = self.forward_features(x) 2025-09-07T08:24:15.5998281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.5998356Z x = self.blocks(x) 2025-09-07T08:24:15.5998717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.5998786Z x = self.se(x) 2025-09-07T08:24:15.5999135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.5999225Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.5999230Z 2025-09-07T08:24:15.5999365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.5999654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.5999729Z return mod(*inputs) 2025-09-07T08:24:15.6000123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6000211Z x = self.forward_features(x) 2025-09-07T08:24:15.6000577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6000653Z x = self.blocks(x) 2025-09-07T08:24:15.6001007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6001076Z x = self.se(x) 2025-09-07T08:24:15.6001425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6001508Z return x * self.gate(x_se) 2025-09-07T08:24:15.6001512Z 2025-09-07T08:24:15.6001651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6001935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6002014Z return mod(*inputs) 2025-09-07T08:24:15.6002344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6002430Z x = self.forward_features(x) 2025-09-07T08:24:15.6002796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6002870Z x = self.blocks(x) 2025-09-07T08:24:15.6003227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6003294Z x = self.se(x) 2025-09-07T08:24:15.6003643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6003730Z return x * self.gate(x_se) 2025-09-07T08:24:15.6003734Z 2025-09-07T08:24:15.6003832Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6003969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6004351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6004472Z return mod(*inputs) 2025-09-07T08:24:15.6004799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6004883Z x = self.forward_features(x) 2025-09-07T08:24:15.6005335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6005412Z x = self.blocks(x) 2025-09-07T08:24:15.6005776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6005853Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6006173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6006314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6006758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6006900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6006905Z 2025-09-07T08:24:15.6007002Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6007135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6007425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6007499Z return mod(*inputs) 2025-09-07T08:24:15.6007830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6007914Z x = self.forward_features(x) 2025-09-07T08:24:15.6008280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6008454Z x = self.blocks(x) 2025-09-07T08:24:15.6008828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6008911Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6009230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6009371Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6009703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6009840Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6009844Z 2025-09-07T08:24:15.6009943Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6010039Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6010174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6010460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6010539Z return mod(*inputs) 2025-09-07T08:24:15.6010873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6010959Z x = self.forward_features(x) 2025-09-07T08:24:15.6011327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6011400Z x = self.blocks(x) 2025-09-07T08:24:15.6011753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6011832Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6012150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6012231Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6012235Z 2025-09-07T08:24:15.6012369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6012796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6012907Z return mod(*inputs) 2025-09-07T08:24:15.6013235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6013322Z x = self.forward_features(x) 2025-09-07T08:24:15.6013685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6013760Z x = self.blocks(x) 2025-09-07T08:24:15.6014113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6014197Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6014202Z 2025-09-07T08:24:15.6014339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6014624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6014704Z return mod(*inputs) 2025-09-07T08:24:15.6015085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6015169Z x = self.forward_features(x) 2025-09-07T08:24:15.6015536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6015609Z x = self.blocks(x) 2025-09-07T08:24:15.6015965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6016038Z x = self.conv_pw(x) 2025-09-07T08:24:15.6016043Z 2025-09-07T08:24:15.6016181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6016466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6016540Z return mod(*inputs) 2025-09-07T08:24:15.6016869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6017010Z x = self.forward_features(x) 2025-09-07T08:24:15.6017377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6017449Z x = self.blocks(x) 2025-09-07T08:24:15.6017803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6017875Z x = self.bn1(x) 2025-09-07T08:24:15.6018180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6018252Z x = F.batch_norm( 2025-09-07T08:24:15.6018256Z 2025-09-07T08:24:15.6018391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6018677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6018753Z return mod(*inputs) 2025-09-07T08:24:15.6019083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6019175Z x = self.forward_features(x) 2025-09-07T08:24:15.6019538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6019611Z x = self.blocks(x) 2025-09-07T08:24:15.6019967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6020036Z x = self.bn1(x) 2025-09-07T08:24:15.6020345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6020415Z x = self.act(x) 2025-09-07T08:24:15.6020419Z 2025-09-07T08:24:15.6020520Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6020655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6020942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6021127Z return mod(*inputs) 2025-09-07T08:24:15.6021459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6021546Z x = self.forward_features(x) 2025-09-07T08:24:15.6021909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6021984Z x = self.blocks(x) 2025-09-07T08:24:15.6022340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6022414Z x = self.conv_dw(x) 2025-09-07T08:24:15.6022736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6022873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6023205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6023420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6023425Z 2025-09-07T08:24:15.6023524Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6023661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6023951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6024024Z return mod(*inputs) 2025-09-07T08:24:15.6024353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6024441Z x = self.forward_features(x) 2025-09-07T08:24:15.6024809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6024882Z x = self.blocks(x) 2025-09-07T08:24:15.6025238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6025379Z x = self.conv_dw(x) 2025-09-07T08:24:15.6025699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6025841Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6026172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6026312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6026317Z 2025-09-07T08:24:15.6026412Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6026547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6026836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6026910Z return mod(*inputs) 2025-09-07T08:24:15.6027241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6027335Z x = self.forward_features(x) 2025-09-07T08:24:15.6027699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6027774Z x = self.blocks(x) 2025-09-07T08:24:15.6028130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6028206Z x = self.conv_dw(x) 2025-09-07T08:24:15.6028525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6028661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6028993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6029129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6029136Z 2025-09-07T08:24:15.6029236Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6029423Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6029531Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6029667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6029954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6030036Z return mod(*inputs) 2025-09-07T08:24:15.6030367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6030453Z x = self.forward_features(x) 2025-09-07T08:24:15.6030817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6030890Z x = self.blocks(x) 2025-09-07T08:24:15.6031249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6031324Z x = self.conv_dw(x) 2025-09-07T08:24:15.6031702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6031789Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6031794Z 2025-09-07T08:24:15.6031890Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6032500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6032788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6032867Z return mod(*inputs) 2025-09-07T08:24:15.6033196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6033284Z x = self.forward_features(x) 2025-09-07T08:24:15.6033649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6033721Z x = self.blocks(x) 2025-09-07T08:24:15.6034138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6034208Z x = self.se(x) 2025-09-07T08:24:15.6034562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6034652Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6034656Z 2025-09-07T08:24:15.6034792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6035084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6035160Z return mod(*inputs) 2025-09-07T08:24:15.6035492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6035576Z x = self.forward_features(x) 2025-09-07T08:24:15.6035940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6036017Z x = self.blocks(x) 2025-09-07T08:24:15.6036375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6036446Z x = self.se(x) 2025-09-07T08:24:15.6036798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6036884Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6036891Z 2025-09-07T08:24:15.6037028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6037313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6037391Z return mod(*inputs) 2025-09-07T08:24:15.6037718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6037806Z x = self.forward_features(x) 2025-09-07T08:24:15.6038255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6038378Z x = self.blocks(x) 2025-09-07T08:24:15.6038739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6038808Z x = self.se(x) 2025-09-07T08:24:15.6039163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6039243Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6039248Z 2025-09-07T08:24:15.6039384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6039675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6039751Z return mod(*inputs) 2025-09-07T08:24:15.6040084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6040173Z x = self.forward_features(x) 2025-09-07T08:24:15.6040588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6040666Z x = self.blocks(x) 2025-09-07T08:24:15.6041020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6041091Z x = self.se(x) 2025-09-07T08:24:15.6041443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6041530Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6041538Z 2025-09-07T08:24:15.6041675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6041962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6042042Z return mod(*inputs) 2025-09-07T08:24:15.6042369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6042514Z x = self.forward_features(x) 2025-09-07T08:24:15.6042879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6042954Z x = self.blocks(x) 2025-09-07T08:24:15.6043311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6043379Z x = self.se(x) 2025-09-07T08:24:15.6043731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6043815Z return x * self.gate(x_se) 2025-09-07T08:24:15.6043820Z 2025-09-07T08:24:15.6043956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6044249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6044325Z return mod(*inputs) 2025-09-07T08:24:15.6044660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6044749Z x = self.forward_features(x) 2025-09-07T08:24:15.6045113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6045191Z x = self.blocks(x) 2025-09-07T08:24:15.6045546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6045619Z x = self.se(x) 2025-09-07T08:24:15.6045970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6046056Z return x * self.gate(x_se) 2025-09-07T08:24:15.6046060Z 2025-09-07T08:24:15.6046197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6046483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6046563Z return mod(*inputs) 2025-09-07T08:24:15.6046977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6047075Z x = self.forward_features(x) 2025-09-07T08:24:15.6047438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6047511Z x = self.blocks(x) 2025-09-07T08:24:15.6047869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6047946Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6047950Z 2025-09-07T08:24:15.6048090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6048377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6048451Z return mod(*inputs) 2025-09-07T08:24:15.6048783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6048952Z x = self.forward_features(x) 2025-09-07T08:24:15.6049324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6049398Z x = self.blocks(x) 2025-09-07T08:24:15.6049753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:24:15.6049825Z x = self.bn3(x) 2025-09-07T08:24:15.6050129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6050204Z x = F.batch_norm( 2025-09-07T08:24:15.6050209Z 2025-09-07T08:24:15.6050343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6050633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6050709Z return mod(*inputs) 2025-09-07T08:24:15.6051098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6051191Z x = self.forward_features(x) 2025-09-07T08:24:15.6051557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6051632Z x = self.blocks(x) 2025-09-07T08:24:15.6051986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6052061Z x = self.conv_pw(x) 2025-09-07T08:24:15.6052389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6052527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6052864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6053001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6053009Z 2025-09-07T08:24:15.6053149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6053442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6053517Z return mod(*inputs) 2025-09-07T08:24:15.6053848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6053935Z x = self.forward_features(x) 2025-09-07T08:24:15.6054302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6054376Z x = self.blocks(x) 2025-09-07T08:24:15.6054728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6054805Z x = self.conv_pw(x) 2025-09-07T08:24:15.6055124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6055381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6055722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6055860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6055865Z 2025-09-07T08:24:15.6055965Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6056062Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6056201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6056487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6056562Z return mod(*inputs) 2025-09-07T08:24:15.6056896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6056979Z x = self.forward_features(x) 2025-09-07T08:24:15.6057353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6057478Z x = self.blocks(x) 2025-09-07T08:24:15.6057833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6057909Z x = self.conv_pw(x) 2025-09-07T08:24:15.6058228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6058311Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6058315Z 2025-09-07T08:24:15.6058451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6058741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6058817Z return mod(*inputs) 2025-09-07T08:24:15.6059146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6059287Z x = self.forward_features(x) 2025-09-07T08:24:15.6059657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6059734Z x = self.blocks(x) 2025-09-07T08:24:15.6060088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6060157Z x = self.bn1(x) 2025-09-07T08:24:15.6060469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6060540Z x = F.batch_norm( 2025-09-07T08:24:15.6060545Z 2025-09-07T08:24:15.6060683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6060970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6061047Z return mod(*inputs) 2025-09-07T08:24:15.6061378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6061472Z x = self.forward_features(x) 2025-09-07T08:24:15.6061842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6061915Z x = self.blocks(x) 2025-09-07T08:24:15.6062268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6062342Z x = self.bn1(x) 2025-09-07T08:24:15.6062647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6062722Z x = self.act(x) 2025-09-07T08:24:15.6062726Z 2025-09-07T08:24:15.6062824Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6062962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6063249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6063327Z return mod(*inputs) 2025-09-07T08:24:15.6063743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6063841Z x = self.forward_features(x) 2025-09-07T08:24:15.6064209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6064282Z x = self.blocks(x) 2025-09-07T08:24:15.6064636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6064713Z x = self.conv_dw(x) 2025-09-07T08:24:15.6065031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6065171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6065505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6065647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6065701Z 2025-09-07T08:24:15.6065799Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6065933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6066224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6066301Z return mod(*inputs) 2025-09-07T08:24:15.6066633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6066718Z x = self.forward_features(x) 2025-09-07T08:24:15.6067082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6067159Z x = self.blocks(x) 2025-09-07T08:24:15.6067513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6067635Z x = self.conv_dw(x) 2025-09-07T08:24:15.6067960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6068097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6068434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6068567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6068572Z 2025-09-07T08:24:15.6068671Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6068805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6069090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6069169Z return mod(*inputs) 2025-09-07T08:24:15.6069496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6069587Z x = self.forward_features(x) 2025-09-07T08:24:15.6069956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6070029Z x = self.blocks(x) 2025-09-07T08:24:15.6070384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6070457Z x = self.conv_dw(x) 2025-09-07T08:24:15.6070778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6070914Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6071248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6071384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6071388Z 2025-09-07T08:24:15.6071484Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6071628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6072012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6072097Z return mod(*inputs) 2025-09-07T08:24:15.6072426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6072510Z x = self.forward_features(x) 2025-09-07T08:24:15.6072880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6072952Z x = self.blocks(x) 2025-09-07T08:24:15.6073308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6073383Z x = self.conv_dw(x) 2025-09-07T08:24:15.6073703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6073845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6074235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6074381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6074386Z 2025-09-07T08:24:15.6074483Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6074581Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6074675Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6074769Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6074909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6075194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6075272Z return mod(*inputs) 2025-09-07T08:24:15.6075599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6075734Z x = self.forward_features(x) 2025-09-07T08:24:15.6076109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6076183Z x = self.blocks(x) 2025-09-07T08:24:15.6076539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6076613Z x = self.conv_dw(x) 2025-09-07T08:24:15.6076932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6077014Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6077018Z 2025-09-07T08:24:15.6077117Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6077256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6077544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6077621Z return mod(*inputs) 2025-09-07T08:24:15.6077960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6078048Z x = self.forward_features(x) 2025-09-07T08:24:15.6078419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6078490Z x = self.blocks(x) 2025-09-07T08:24:15.6078844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6078915Z x = self.se(x) 2025-09-07T08:24:15.6079266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6079357Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6079362Z 2025-09-07T08:24:15.6079497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6079787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6079866Z return mod(*inputs) 2025-09-07T08:24:15.6080286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6080381Z x = self.forward_features(x) 2025-09-07T08:24:15.6080746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6080823Z x = self.blocks(x) 2025-09-07T08:24:15.6081176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6081244Z x = self.se(x) 2025-09-07T08:24:15.6081597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6081683Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6081688Z 2025-09-07T08:24:15.6081828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6082122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6082249Z return mod(*inputs) 2025-09-07T08:24:15.6082586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6082673Z x = self.forward_features(x) 2025-09-07T08:24:15.6083040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6083113Z x = self.blocks(x) 2025-09-07T08:24:15.6083466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6083538Z x = self.se(x) 2025-09-07T08:24:15.6083889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6083972Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6083977Z 2025-09-07T08:24:15.6084193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6084493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6084568Z return mod(*inputs) 2025-09-07T08:24:15.6084897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6084987Z x = self.forward_features(x) 2025-09-07T08:24:15.6085350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6085427Z x = self.blocks(x) 2025-09-07T08:24:15.6085778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6085847Z x = self.se(x) 2025-09-07T08:24:15.6086202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6086290Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6086297Z 2025-09-07T08:24:15.6086440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6086728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6086802Z return mod(*inputs) 2025-09-07T08:24:15.6087133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6087219Z x = self.forward_features(x) 2025-09-07T08:24:15.6087589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6087662Z x = self.blocks(x) 2025-09-07T08:24:15.6088019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6088087Z x = self.se(x) 2025-09-07T08:24:15.6088436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6088615Z return x * self.gate(x_se) 2025-09-07T08:24:15.6088620Z 2025-09-07T08:24:15.6088764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6089056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6089131Z return mod(*inputs) 2025-09-07T08:24:15.6089458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6089548Z x = self.forward_features(x) 2025-09-07T08:24:15.6089910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6089986Z x = self.blocks(x) 2025-09-07T08:24:15.6090340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6090409Z x = self.se(x) 2025-09-07T08:24:15.6090766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6090896Z return x * self.gate(x_se) 2025-09-07T08:24:15.6090901Z 2025-09-07T08:24:15.6091001Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6091138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6091426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6091504Z return mod(*inputs) 2025-09-07T08:24:15.6091833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6091922Z x = self.forward_features(x) 2025-09-07T08:24:15.6092287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6092362Z x = self.blocks(x) 2025-09-07T08:24:15.6092716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6092842Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6093166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6093305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6093641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6093779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6093783Z 2025-09-07T08:24:15.6093878Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6094021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6094307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6094386Z return mod(*inputs) 2025-09-07T08:24:15.6094711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6094804Z x = self.forward_features(x) 2025-09-07T08:24:15.6095171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6095243Z x = self.blocks(x) 2025-09-07T08:24:15.6095599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6095676Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6095995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6096135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6096466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6096613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6096620Z 2025-09-07T08:24:15.6096807Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6096910Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6097048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6097333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6097410Z return mod(*inputs) 2025-09-07T08:24:15.6097742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6097830Z x = self.forward_features(x) 2025-09-07T08:24:15.6098194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6098268Z x = self.blocks(x) 2025-09-07T08:24:15.6098626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6098707Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6099032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6099168Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6099173Z 2025-09-07T08:24:15.6099309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6099602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6099678Z return mod(*inputs) 2025-09-07T08:24:15.6100012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6100096Z x = self.forward_features(x) 2025-09-07T08:24:15.6100462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6100537Z x = self.blocks(x) 2025-09-07T08:24:15.6100890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6101038Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6101042Z 2025-09-07T08:24:15.6101180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6101469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6101544Z return mod(*inputs) 2025-09-07T08:24:15.6101872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6101961Z x = self.forward_features(x) 2025-09-07T08:24:15.6102323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6102399Z x = self.blocks(x) 2025-09-07T08:24:15.6102752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6102825Z x = self.conv_pw(x) 2025-09-07T08:24:15.6103155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6103297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6103632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6103768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6103772Z 2025-09-07T08:24:15.6103913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6104202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6104277Z return mod(*inputs) 2025-09-07T08:24:15.6104611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6104697Z x = self.forward_features(x) 2025-09-07T08:24:15.6105062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6105367Z x = self.blocks(x) 2025-09-07T08:24:15.6105733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6105818Z x = self.conv_pw(x) 2025-09-07T08:24:15.6106139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6106278Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6106611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6106747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6106752Z 2025-09-07T08:24:15.6106854Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6106950Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6107091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6107384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6107560Z return mod(*inputs) 2025-09-07T08:24:15.6107896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6107981Z x = self.forward_features(x) 2025-09-07T08:24:15.6108348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6108420Z x = self.blocks(x) 2025-09-07T08:24:15.6108777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6108851Z x = self.conv_pw(x) 2025-09-07T08:24:15.6109169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6109250Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6109321Z 2025-09-07T08:24:15.6109461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6109760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6120632Z return mod(*inputs) 2025-09-07T08:24:15.6121091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6121185Z x = self.forward_features(x) 2025-09-07T08:24:15.6121563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6121643Z x = self.blocks(x) 2025-09-07T08:24:15.6121997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6122068Z x = self.bn1(x) 2025-09-07T08:24:15.6122380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6122461Z x = F.batch_norm( 2025-09-07T08:24:15.6122470Z 2025-09-07T08:24:15.6122619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6122909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6122988Z return mod(*inputs) 2025-09-07T08:24:15.6123316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6123403Z x = self.forward_features(x) 2025-09-07T08:24:15.6123771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6123846Z x = self.blocks(x) 2025-09-07T08:24:15.6124203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6124275Z x = self.bn1(x) 2025-09-07T08:24:15.6124580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6124658Z x = self.act(x) 2025-09-07T08:24:15.6124809Z 2025-09-07T08:24:15.6124926Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6125067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6125357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6125431Z return mod(*inputs) 2025-09-07T08:24:15.6125762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6125846Z x = self.forward_features(x) 2025-09-07T08:24:15.6126214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6126286Z x = self.blocks(x) 2025-09-07T08:24:15.6126640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6126721Z x = self.conv_dw(x) 2025-09-07T08:24:15.6127124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6127270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6127603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6127743Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6127748Z 2025-09-07T08:24:15.6127847Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6127981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6128273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6128348Z return mod(*inputs) 2025-09-07T08:24:15.6128679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6128819Z x = self.forward_features(x) 2025-09-07T08:24:15.6129190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6129266Z x = self.blocks(x) 2025-09-07T08:24:15.6129617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6129695Z x = self.conv_dw(x) 2025-09-07T08:24:15.6130014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6130150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6130485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6130619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6130624Z 2025-09-07T08:24:15.6130725Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6130862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6131158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6131235Z return mod(*inputs) 2025-09-07T08:24:15.6131559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6131649Z x = self.forward_features(x) 2025-09-07T08:24:15.6132011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6132088Z x = self.blocks(x) 2025-09-07T08:24:15.6132440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6132514Z x = self.conv_dw(x) 2025-09-07T08:24:15.6132838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6132975Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6133404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6133549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6133555Z 2025-09-07T08:24:15.6133653Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6133791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6134081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6134156Z return mod(*inputs) 2025-09-07T08:24:15.6134481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6134566Z x = self.forward_features(x) 2025-09-07T08:24:15.6134933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6135009Z x = self.blocks(x) 2025-09-07T08:24:15.6135414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6135489Z x = self.conv_dw(x) 2025-09-07T08:24:15.6135813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6135949Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6136281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6136418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6136423Z 2025-09-07T08:24:15.6136519Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6136620Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6136717Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6136811Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6136998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6137294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6137372Z return mod(*inputs) 2025-09-07T08:24:15.6137700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6137786Z x = self.forward_features(x) 2025-09-07T08:24:15.6138152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6138224Z x = self.blocks(x) 2025-09-07T08:24:15.6138580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6138654Z x = self.conv_dw(x) 2025-09-07T08:24:15.6138974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6139059Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6139065Z 2025-09-07T08:24:15.6139165Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6139301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6139589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6139666Z return mod(*inputs) 2025-09-07T08:24:15.6139991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6140075Z x = self.forward_features(x) 2025-09-07T08:24:15.6140440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6140513Z x = self.blocks(x) 2025-09-07T08:24:15.6140869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6140938Z x = self.se(x) 2025-09-07T08:24:15.6141369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6141465Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6141469Z 2025-09-07T08:24:15.6141604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6141894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6141969Z return mod(*inputs) 2025-09-07T08:24:15.6142296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6142382Z x = self.forward_features(x) 2025-09-07T08:24:15.6142745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6142821Z x = self.blocks(x) 2025-09-07T08:24:15.6143173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6143244Z x = self.se(x) 2025-09-07T08:24:15.6143647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6143733Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6143738Z 2025-09-07T08:24:15.6143875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6144162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6144240Z return mod(*inputs) 2025-09-07T08:24:15.6144568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6144653Z x = self.forward_features(x) 2025-09-07T08:24:15.6145017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6145088Z x = self.blocks(x) 2025-09-07T08:24:15.6145445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6145565Z x = self.se(x) 2025-09-07T08:24:15.6145913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6145996Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6146001Z 2025-09-07T08:24:15.6146135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6146424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6146500Z return mod(*inputs) 2025-09-07T08:24:15.6146825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6146914Z x = self.forward_features(x) 2025-09-07T08:24:15.6147275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6147354Z x = self.blocks(x) 2025-09-07T08:24:15.6147711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6147778Z x = self.se(x) 2025-09-07T08:24:15.6148131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6148216Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6148221Z 2025-09-07T08:24:15.6148358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6148642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6148720Z return mod(*inputs) 2025-09-07T08:24:15.6149045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6149130Z x = self.forward_features(x) 2025-09-07T08:24:15.6149491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6149651Z x = self.blocks(x) 2025-09-07T08:24:15.6150014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6150084Z x = self.se(x) 2025-09-07T08:24:15.6150432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6150517Z return x * self.gate(x_se) 2025-09-07T08:24:15.6150522Z 2025-09-07T08:24:15.6150658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6150947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6151021Z return mod(*inputs) 2025-09-07T08:24:15.6151349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6151436Z x = self.forward_features(x) 2025-09-07T08:24:15.6151803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6151927Z x = self.blocks(x) 2025-09-07T08:24:15.6152280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6152351Z x = self.se(x) 2025-09-07T08:24:15.6152698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6152779Z return x * self.gate(x_se) 2025-09-07T08:24:15.6152783Z 2025-09-07T08:24:15.6152885Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6153019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6153309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6153383Z return mod(*inputs) 2025-09-07T08:24:15.6153710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6153854Z x = self.forward_features(x) 2025-09-07T08:24:15.6154215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6154290Z x = self.blocks(x) 2025-09-07T08:24:15.6154642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6154718Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6155041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6155178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6155510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6155646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6155653Z 2025-09-07T08:24:15.6155752Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6155896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6156182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6156259Z return mod(*inputs) 2025-09-07T08:24:15.6156585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6156671Z x = self.forward_features(x) 2025-09-07T08:24:15.6157035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6157106Z x = self.blocks(x) 2025-09-07T08:24:15.6157461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6157537Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6157858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6158111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6158446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6158587Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6158591Z 2025-09-07T08:24:15.6158687Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6158785Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6158917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6159202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6159281Z return mod(*inputs) 2025-09-07T08:24:15.6159606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6159693Z x = self.forward_features(x) 2025-09-07T08:24:15.6160061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6160185Z x = self.blocks(x) 2025-09-07T08:24:15.6160543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6160619Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6160943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6161021Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6161026Z 2025-09-07T08:24:15.6161163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6161450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6161524Z return mod(*inputs) 2025-09-07T08:24:15.6161857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6161989Z x = self.forward_features(x) 2025-09-07T08:24:15.6162360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6162433Z x = self.blocks(x) 2025-09-07T08:24:15.6162785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6162874Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6162879Z 2025-09-07T08:24:15.6163013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6163299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6163374Z return mod(*inputs) 2025-09-07T08:24:15.6163699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6163786Z x = self.forward_features(x) 2025-09-07T08:24:15.6164152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6164230Z x = self.blocks(x) 2025-09-07T08:24:15.6164580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6164657Z x = self.conv_pw(x) 2025-09-07T08:24:15.6164973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6165111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6165445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6165581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6165586Z 2025-09-07T08:24:15.6165721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6166005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6166170Z return mod(*inputs) 2025-09-07T08:24:15.6166506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6166590Z x = self.forward_features(x) 2025-09-07T08:24:15.6166957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6167030Z x = self.blocks(x) 2025-09-07T08:24:15.6167385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6167462Z x = self.conv_pw(x) 2025-09-07T08:24:15.6167782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6167922Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6168252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6168452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6168457Z 2025-09-07T08:24:15.6168560Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6168656Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6168795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6169081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6169160Z return mod(*inputs) 2025-09-07T08:24:15.6169486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6169572Z x = self.forward_features(x) 2025-09-07T08:24:15.6169939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6170011Z x = self.blocks(x) 2025-09-07T08:24:15.6170426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6170508Z x = self.conv_pw(x) 2025-09-07T08:24:15.6170827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6170909Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6170913Z 2025-09-07T08:24:15.6171046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6171337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6171412Z return mod(*inputs) 2025-09-07T08:24:15.6171738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6171827Z x = self.forward_features(x) 2025-09-07T08:24:15.6172187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6172266Z x = self.blocks(x) 2025-09-07T08:24:15.6172623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6172696Z x = self.bn1(x) 2025-09-07T08:24:15.6172999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6173070Z x = F.batch_norm( 2025-09-07T08:24:15.6173075Z 2025-09-07T08:24:15.6173213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6173498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6173574Z return mod(*inputs) 2025-09-07T08:24:15.6173899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6173982Z x = self.forward_features(x) 2025-09-07T08:24:15.6174349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6174513Z x = self.blocks(x) 2025-09-07T08:24:15.6174882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6174951Z x = self.bn1(x) 2025-09-07T08:24:15.6175257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6175328Z x = self.act(x) 2025-09-07T08:24:15.6175332Z 2025-09-07T08:24:15.6175429Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6175567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6175851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6175925Z return mod(*inputs) 2025-09-07T08:24:15.6176251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6176338Z x = self.forward_features(x) 2025-09-07T08:24:15.6176757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6176842Z x = self.blocks(x) 2025-09-07T08:24:15.6177195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6177269Z x = self.conv_dw(x) 2025-09-07T08:24:15.6177583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6177721Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6178054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6178188Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6178192Z 2025-09-07T08:24:15.6178290Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6178478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6178769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6178846Z return mod(*inputs) 2025-09-07T08:24:15.6179169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6179256Z x = self.forward_features(x) 2025-09-07T08:24:15.6179618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6179690Z x = self.blocks(x) 2025-09-07T08:24:15.6180043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6180117Z x = self.conv_dw(x) 2025-09-07T08:24:15.6180439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6180574Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6180913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6181052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6181056Z 2025-09-07T08:24:15.6181161Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6181300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6181587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6181663Z return mod(*inputs) 2025-09-07T08:24:15.6181991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6182075Z x = self.forward_features(x) 2025-09-07T08:24:15.6182439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6182515Z x = self.blocks(x) 2025-09-07T08:24:15.6182960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6183041Z x = self.conv_dw(x) 2025-09-07T08:24:15.6183358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6183498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6183829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6183963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6183971Z 2025-09-07T08:24:15.6184068Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6184201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6184494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6184572Z return mod(*inputs) 2025-09-07T08:24:15.6184981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6185072Z x = self.forward_features(x) 2025-09-07T08:24:15.6185436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6185511Z x = self.blocks(x) 2025-09-07T08:24:15.6185861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6185937Z x = self.conv_dw(x) 2025-09-07T08:24:15.6186254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6186389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6186722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6186911Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6186924Z 2025-09-07T08:24:15.6187026Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6187120Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6187214Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6187310Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6187443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6187732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6187808Z return mod(*inputs) 2025-09-07T08:24:15.6188134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6188222Z x = self.forward_features(x) 2025-09-07T08:24:15.6188585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6188662Z x = self.blocks(x) 2025-09-07T08:24:15.6189020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6189097Z x = self.conv_dw(x) 2025-09-07T08:24:15.6189414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6189490Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6189495Z 2025-09-07T08:24:15.6189594Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6189727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6190016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6190090Z return mod(*inputs) 2025-09-07T08:24:15.6190416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6190505Z x = self.forward_features(x) 2025-09-07T08:24:15.6190982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6191061Z x = self.blocks(x) 2025-09-07T08:24:15.6191413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6191480Z x = self.se(x) 2025-09-07T08:24:15.6191833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6191920Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6191924Z 2025-09-07T08:24:15.6192060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6192347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6192422Z return mod(*inputs) 2025-09-07T08:24:15.6192751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6192839Z x = self.forward_features(x) 2025-09-07T08:24:15.6193306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6193379Z x = self.blocks(x) 2025-09-07T08:24:15.6193734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6193804Z x = self.se(x) 2025-09-07T08:24:15.6194151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6194239Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6194244Z 2025-09-07T08:24:15.6194377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6194667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6194741Z return mod(*inputs) 2025-09-07T08:24:15.6195065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6195208Z x = self.forward_features(x) 2025-09-07T08:24:15.6195571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6195646Z x = self.blocks(x) 2025-09-07T08:24:15.6195997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6196065Z x = self.se(x) 2025-09-07T08:24:15.6196415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6196494Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6196498Z 2025-09-07T08:24:15.6196635Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6196922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6197002Z return mod(*inputs) 2025-09-07T08:24:15.6197331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6197419Z x = self.forward_features(x) 2025-09-07T08:24:15.6197782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6197854Z x = self.blocks(x) 2025-09-07T08:24:15.6198208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6198278Z x = self.se(x) 2025-09-07T08:24:15.6198624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6198712Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6198717Z 2025-09-07T08:24:15.6198852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6199138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6199218Z return mod(*inputs) 2025-09-07T08:24:15.6199626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6199719Z x = self.forward_features(x) 2025-09-07T08:24:15.6200082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6200157Z x = self.blocks(x) 2025-09-07T08:24:15.6200511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6200579Z x = self.se(x) 2025-09-07T08:24:15.6200930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6201012Z return x * self.gate(x_se) 2025-09-07T08:24:15.6201017Z 2025-09-07T08:24:15.6201155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6201448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6201570Z return mod(*inputs) 2025-09-07T08:24:15.6201896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6201982Z x = self.forward_features(x) 2025-09-07T08:24:15.6202345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6202417Z x = self.blocks(x) 2025-09-07T08:24:15.6202773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6202840Z x = self.se(x) 2025-09-07T08:24:15.6203187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6203273Z return x * self.gate(x_se) 2025-09-07T08:24:15.6203278Z 2025-09-07T08:24:15.6203424Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6203568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6203855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6203930Z return mod(*inputs) 2025-09-07T08:24:15.6204258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6204342Z x = self.forward_features(x) 2025-09-07T08:24:15.6204706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6204779Z x = self.blocks(x) 2025-09-07T08:24:15.6205214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6205304Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6205620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6205767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6206098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6206239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6206244Z 2025-09-07T08:24:15.6206339Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6206473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6206762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6206838Z return mod(*inputs) 2025-09-07T08:24:15.6207168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6207253Z x = self.forward_features(x) 2025-09-07T08:24:15.6207612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6207854Z x = self.blocks(x) 2025-09-07T08:24:15.6208217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6208297Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6208614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6208750Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6209084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6209220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6209225Z 2025-09-07T08:24:15.6209323Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6209420Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6209557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6209852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6210004Z return mod(*inputs) 2025-09-07T08:24:15.6210335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6210420Z x = self.forward_features(x) 2025-09-07T08:24:15.6210783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6210856Z x = self.blocks(x) 2025-09-07T08:24:15.6211208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6211287Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6211603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6211684Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6211751Z 2025-09-07T08:24:15.6211890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6212198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6212276Z return mod(*inputs) 2025-09-07T08:24:15.6212600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6212687Z x = self.forward_features(x) 2025-09-07T08:24:15.6213048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6213120Z x = self.blocks(x) 2025-09-07T08:24:15.6213474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6213558Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6213563Z 2025-09-07T08:24:15.6213698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6213990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6214070Z return mod(*inputs) 2025-09-07T08:24:15.6214398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6214483Z x = self.forward_features(x) 2025-09-07T08:24:15.6214847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6214921Z x = self.blocks(x) 2025-09-07T08:24:15.6215275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6215350Z x = self.conv_pw(x) 2025-09-07T08:24:15.6215355Z 2025-09-07T08:24:15.6215491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6215779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6215855Z return mod(*inputs) 2025-09-07T08:24:15.6216269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6216383Z x = self.forward_features(x) 2025-09-07T08:24:15.6216745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6216820Z x = self.blocks(x) 2025-09-07T08:24:15.6217171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6217248Z x = self.conv_dw(x) 2025-09-07T08:24:15.6217253Z 2025-09-07T08:24:15.6217348Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6217483Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6217774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6217849Z return mod(*inputs) 2025-09-07T08:24:15.6218182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6218316Z x = self.forward_features(x) 2025-09-07T08:24:15.6218682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6218756Z x = self.blocks(x) 2025-09-07T08:24:15.6219106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6219178Z x = self.se(x) 2025-09-07T08:24:15.6219526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6219615Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6219620Z 2025-09-07T08:24:15.6219755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6220040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6220180Z return mod(*inputs) 2025-09-07T08:24:15.6220512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6220601Z x = self.forward_features(x) 2025-09-07T08:24:15.6220962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6221035Z x = self.blocks(x) 2025-09-07T08:24:15.6221389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6221458Z x = self.se(x) 2025-09-07T08:24:15.6221808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6221893Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6221897Z 2025-09-07T08:24:15.6222033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6222319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6222400Z return mod(*inputs) 2025-09-07T08:24:15.6222729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6222815Z x = self.forward_features(x) 2025-09-07T08:24:15.6223177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6223250Z x = self.blocks(x) 2025-09-07T08:24:15.6223601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6223672Z x = self.se(x) 2025-09-07T08:24:15.6224019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6224101Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6224106Z 2025-09-07T08:24:15.6224240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6224608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6224693Z return mod(*inputs) 2025-09-07T08:24:15.6225022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6225112Z x = self.forward_features(x) 2025-09-07T08:24:15.6225475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6225549Z x = self.blocks(x) 2025-09-07T08:24:15.6225902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6225969Z x = self.se(x) 2025-09-07T08:24:15.6226319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6226405Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6226412Z 2025-09-07T08:24:15.6226595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6226882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6226956Z return mod(*inputs) 2025-09-07T08:24:15.6227285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6227370Z x = self.forward_features(x) 2025-09-07T08:24:15.6227734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6227805Z x = self.blocks(x) 2025-09-07T08:24:15.6228155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6228226Z x = self.se(x) 2025-09-07T08:24:15.6228572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6228734Z return x * self.gate(x_se) 2025-09-07T08:24:15.6228745Z 2025-09-07T08:24:15.6228884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6229170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6229247Z return mod(*inputs) 2025-09-07T08:24:15.6229573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6229660Z x = self.forward_features(x) 2025-09-07T08:24:15.6230021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6230094Z x = self.blocks(x) 2025-09-07T08:24:15.6230447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6230515Z x = self.se(x) 2025-09-07T08:24:15.6230871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6230957Z return x * self.gate(x_se) 2025-09-07T08:24:15.6230962Z 2025-09-07T08:24:15.6231100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6231384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6231459Z return mod(*inputs) 2025-09-07T08:24:15.6231789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6231874Z x = self.forward_features(x) 2025-09-07T08:24:15.6232237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6232310Z x = self.blocks(x) 2025-09-07T08:24:15.6232661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6232743Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6232750Z 2025-09-07T08:24:15.6232972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6233269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6233346Z return mod(*inputs) 2025-09-07T08:24:15.6233681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6233770Z x = self.forward_features(x) 2025-09-07T08:24:15.6234133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6234208Z x = self.blocks(x) 2025-09-07T08:24:15.6234562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:24:15.6234635Z x = self.bn3(x) 2025-09-07T08:24:15.6234939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6235128Z x = F.batch_norm( 2025-09-07T08:24:15.6235137Z 2025-09-07T08:24:15.6235278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6235563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6235641Z return mod(*inputs) 2025-09-07T08:24:15.6235968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6236054Z x = self.forward_features(x) 2025-09-07T08:24:15.6236420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6236493Z x = self.blocks(x) 2025-09-07T08:24:15.6236846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6236920Z x = self.conv_pw(x) 2025-09-07T08:24:15.6237294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6237437Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6237767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6237908Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6237912Z 2025-09-07T08:24:15.6238045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6238335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6238410Z return mod(*inputs) 2025-09-07T08:24:15.6238736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6238824Z x = self.forward_features(x) 2025-09-07T08:24:15.6239184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6239267Z x = self.blocks(x) 2025-09-07T08:24:15.6239619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6239692Z x = self.conv_pw(x) 2025-09-07T08:24:15.6240014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6240147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6240482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6240615Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6240619Z 2025-09-07T08:24:15.6240715Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6240813Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6240948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6241323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6241431Z return mod(*inputs) 2025-09-07T08:24:15.6241756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6241849Z x = self.forward_features(x) 2025-09-07T08:24:15.6242211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6242286Z x = self.blocks(x) 2025-09-07T08:24:15.6242639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6242714Z x = self.conv_pw(x) 2025-09-07T08:24:15.6243031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6243107Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6243114Z 2025-09-07T08:24:15.6243255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6243602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6243681Z return mod(*inputs) 2025-09-07T08:24:15.6244006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6244090Z x = self.forward_features(x) 2025-09-07T08:24:15.6244454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6244526Z x = self.blocks(x) 2025-09-07T08:24:15.6244880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6244948Z x = self.bn1(x) 2025-09-07T08:24:15.6245252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6245375Z x = F.batch_norm( 2025-09-07T08:24:15.6245382Z 2025-09-07T08:24:15.6245520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6245812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6245885Z return mod(*inputs) 2025-09-07T08:24:15.6246210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6246298Z x = self.forward_features(x) 2025-09-07T08:24:15.6246659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6246735Z x = self.blocks(x) 2025-09-07T08:24:15.6247086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6247158Z x = self.bn1(x) 2025-09-07T08:24:15.6247463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6247536Z x = self.act(x) 2025-09-07T08:24:15.6247544Z 2025-09-07T08:24:15.6247644Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6247779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6248070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6248145Z return mod(*inputs) 2025-09-07T08:24:15.6248470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6248557Z x = self.forward_features(x) 2025-09-07T08:24:15.6248917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6248992Z x = self.blocks(x) 2025-09-07T08:24:15.6249344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6249419Z x = self.conv_dw(x) 2025-09-07T08:24:15.6249827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6249967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6250299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6250440Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6250445Z 2025-09-07T08:24:15.6250542Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6250677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6250963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6251040Z return mod(*inputs) 2025-09-07T08:24:15.6251363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6251452Z x = self.forward_features(x) 2025-09-07T08:24:15.6251884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6251958Z x = self.blocks(x) 2025-09-07T08:24:15.6252315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6252388Z x = self.conv_dw(x) 2025-09-07T08:24:15.6252708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6252844Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6253172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6253309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6253314Z 2025-09-07T08:24:15.6253410Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6253610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6253905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6253980Z return mod(*inputs) 2025-09-07T08:24:15.6254308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6254392Z x = self.forward_features(x) 2025-09-07T08:24:15.6254755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6254827Z x = self.blocks(x) 2025-09-07T08:24:15.6255187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6255265Z x = self.conv_dw(x) 2025-09-07T08:24:15.6255583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6255724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6256059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6256197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6256201Z 2025-09-07T08:24:15.6256298Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6256431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6256719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6256795Z return mod(*inputs) 2025-09-07T08:24:15.6257123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6257207Z x = self.forward_features(x) 2025-09-07T08:24:15.6257570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6257647Z x = self.blocks(x) 2025-09-07T08:24:15.6258089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6258169Z x = self.conv_dw(x) 2025-09-07T08:24:15.6258489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6258630Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6258962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6259097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6259102Z 2025-09-07T08:24:15.6259202Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6259297Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6259393Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6259488Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6259623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6259960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6260036Z return mod(*inputs) 2025-09-07T08:24:15.6260365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6260451Z x = self.forward_features(x) 2025-09-07T08:24:15.6260813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6260888Z x = self.blocks(x) 2025-09-07T08:24:15.6261240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6261317Z x = self.conv_dw(x) 2025-09-07T08:24:15.6261635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6261760Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6261767Z 2025-09-07T08:24:15.6261869Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6262004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6262292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6262366Z return mod(*inputs) 2025-09-07T08:24:15.6262691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6262779Z x = self.forward_features(x) 2025-09-07T08:24:15.6263140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6263216Z x = self.blocks(x) 2025-09-07T08:24:15.6263568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6263636Z x = self.se(x) 2025-09-07T08:24:15.6263991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6264081Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6264085Z 2025-09-07T08:24:15.6264224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6264512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6264589Z return mod(*inputs) 2025-09-07T08:24:15.6264917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6265002Z x = self.forward_features(x) 2025-09-07T08:24:15.6265370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6265444Z x = self.blocks(x) 2025-09-07T08:24:15.6265800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6265870Z x = self.se(x) 2025-09-07T08:24:15.6266309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6266403Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6266408Z 2025-09-07T08:24:15.6266541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6266831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6266906Z return mod(*inputs) 2025-09-07T08:24:15.6267231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6267321Z x = self.forward_features(x) 2025-09-07T08:24:15.6267682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6267757Z x = self.blocks(x) 2025-09-07T08:24:15.6268109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6268226Z x = self.se(x) 2025-09-07T08:24:15.6268580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6268661Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6268666Z 2025-09-07T08:24:15.6268803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6269088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6269165Z return mod(*inputs) 2025-09-07T08:24:15.6269490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6269576Z x = self.forward_features(x) 2025-09-07T08:24:15.6269941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6270061Z x = self.blocks(x) 2025-09-07T08:24:15.6270421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6270491Z x = self.se(x) 2025-09-07T08:24:15.6270839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6270929Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6270933Z 2025-09-07T08:24:15.6271067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6271356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6271431Z return mod(*inputs) 2025-09-07T08:24:15.6271756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6271844Z x = self.forward_features(x) 2025-09-07T08:24:15.6272205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6272289Z x = self.blocks(x) 2025-09-07T08:24:15.6272640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6272712Z x = self.se(x) 2025-09-07T08:24:15.6273062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6273146Z return x * self.gate(x_se) 2025-09-07T08:24:15.6273151Z 2025-09-07T08:24:15.6273288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6273571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6273647Z return mod(*inputs) 2025-09-07T08:24:15.6273972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6274057Z x = self.forward_features(x) 2025-09-07T08:24:15.6274506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6274586Z x = self.blocks(x) 2025-09-07T08:24:15.6274945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6275013Z x = self.se(x) 2025-09-07T08:24:15.6275360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6275447Z return x * self.gate(x_se) 2025-09-07T08:24:15.6275451Z 2025-09-07T08:24:15.6275549Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6275686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6275972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6276047Z return mod(*inputs) 2025-09-07T08:24:15.6276377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6276520Z x = self.forward_features(x) 2025-09-07T08:24:15.6276885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6276959Z x = self.blocks(x) 2025-09-07T08:24:15.6277314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6277393Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6277711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6277853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6278182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6278318Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6278363Z 2025-09-07T08:24:15.6278464Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6278605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6278894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6278968Z return mod(*inputs) 2025-09-07T08:24:15.6279300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6279385Z x = self.forward_features(x) 2025-09-07T08:24:15.6279749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6279825Z x = self.blocks(x) 2025-09-07T08:24:15.6280177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6280257Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6280575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6280725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6281055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6281189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6281193Z 2025-09-07T08:24:15.6281294Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6281389Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6281524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6281812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6281886Z return mod(*inputs) 2025-09-07T08:24:15.6282213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6282297Z x = self.forward_features(x) 2025-09-07T08:24:15.6282772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6282852Z x = self.blocks(x) 2025-09-07T08:24:15.6283207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6283286Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6283604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6283685Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6283690Z 2025-09-07T08:24:15.6283824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6284109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6284187Z return mod(*inputs) 2025-09-07T08:24:15.6284513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6284603Z x = self.forward_features(x) 2025-09-07T08:24:15.6285022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6285098Z x = self.blocks(x) 2025-09-07T08:24:15.6285449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6285535Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6285539Z 2025-09-07T08:24:15.6285676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6285961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6286040Z return mod(*inputs) 2025-09-07T08:24:15.6286365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6286449Z x = self.forward_features(x) 2025-09-07T08:24:15.6286818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6286942Z x = self.blocks(x) 2025-09-07T08:24:15.6287301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6287379Z x = self.conv_pw(x) 2025-09-07T08:24:15.6287697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6287839Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6288169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6288306Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6288311Z 2025-09-07T08:24:15.6288444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6288736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6288818Z return mod(*inputs) 2025-09-07T08:24:15.6289143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6289230Z x = self.forward_features(x) 2025-09-07T08:24:15.6289591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6289666Z x = self.blocks(x) 2025-09-07T08:24:15.6290019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6290093Z x = self.conv_pw(x) 2025-09-07T08:24:15.6290415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6290551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6290885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6291109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6291114Z 2025-09-07T08:24:15.6291216Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6291314Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6291448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6291738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6291813Z return mod(*inputs) 2025-09-07T08:24:15.6292139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6292226Z x = self.forward_features(x) 2025-09-07T08:24:15.6292588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6292663Z x = self.blocks(x) 2025-09-07T08:24:15.6293024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6293145Z x = self.conv_pw(x) 2025-09-07T08:24:15.6293464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6293544Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6293548Z 2025-09-07T08:24:15.6293688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6293973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6294050Z return mod(*inputs) 2025-09-07T08:24:15.6294377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6294462Z x = self.forward_features(x) 2025-09-07T08:24:15.6294827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6294945Z x = self.blocks(x) 2025-09-07T08:24:15.6295306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6295376Z x = self.bn1(x) 2025-09-07T08:24:15.6295680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6295753Z x = F.batch_norm( 2025-09-07T08:24:15.6295758Z 2025-09-07T08:24:15.6295892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6296181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6296255Z return mod(*inputs) 2025-09-07T08:24:15.6296584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6296671Z x = self.forward_features(x) 2025-09-07T08:24:15.6297032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6297110Z x = self.blocks(x) 2025-09-07T08:24:15.6297467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6297540Z x = self.bn1(x) 2025-09-07T08:24:15.6297844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6297913Z x = self.act(x) 2025-09-07T08:24:15.6297918Z 2025-09-07T08:24:15.6298017Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6298151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6298442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6298517Z return mod(*inputs) 2025-09-07T08:24:15.6298843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6298931Z x = self.forward_features(x) 2025-09-07T08:24:15.6299385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6299467Z x = self.blocks(x) 2025-09-07T08:24:15.6299820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6299893Z x = self.conv_dw(x) 2025-09-07T08:24:15.6300213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6300351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6300684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6300820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6300826Z 2025-09-07T08:24:15.6300924Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6301061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6301406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6301485Z return mod(*inputs) 2025-09-07T08:24:15.6301825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6301913Z x = self.forward_features(x) 2025-09-07T08:24:15.6302277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6302349Z x = self.blocks(x) 2025-09-07T08:24:15.6302705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6302779Z x = self.conv_dw(x) 2025-09-07T08:24:15.6303099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6303236Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6303628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6303765Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6303770Z 2025-09-07T08:24:15.6303865Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6304002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6304287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6304360Z return mod(*inputs) 2025-09-07T08:24:15.6304689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6304774Z x = self.forward_features(x) 2025-09-07T08:24:15.6305212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6305288Z x = self.blocks(x) 2025-09-07T08:24:15.6305650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6305724Z x = self.conv_dw(x) 2025-09-07T08:24:15.6306040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6306178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6306509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6306645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6306650Z 2025-09-07T08:24:15.6306744Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6306878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6307166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6307244Z return mod(*inputs) 2025-09-07T08:24:15.6307719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6307856Z x = self.forward_features(x) 2025-09-07T08:24:15.6308226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6308302Z x = self.blocks(x) 2025-09-07T08:24:15.6308655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6308733Z x = self.conv_dw(x) 2025-09-07T08:24:15.6309049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6309185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6309518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6309656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6309727Z 2025-09-07T08:24:15.6309830Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6309927Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6310024Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6310117Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6310248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6310540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6310614Z return mod(*inputs) 2025-09-07T08:24:15.6310943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6311030Z x = self.forward_features(x) 2025-09-07T08:24:15.6311393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6311538Z x = self.blocks(x) 2025-09-07T08:24:15.6311911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6311988Z x = self.conv_dw(x) 2025-09-07T08:24:15.6312305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6312384Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6312388Z 2025-09-07T08:24:15.6312487Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6312620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6312907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6312981Z return mod(*inputs) 2025-09-07T08:24:15.6313309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6313397Z x = self.forward_features(x) 2025-09-07T08:24:15.6313765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6313843Z x = self.blocks(x) 2025-09-07T08:24:15.6314197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6314265Z x = self.se(x) 2025-09-07T08:24:15.6314615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6314701Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6314705Z 2025-09-07T08:24:15.6314843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6315131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6315207Z return mod(*inputs) 2025-09-07T08:24:15.6315535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6315621Z x = self.forward_features(x) 2025-09-07T08:24:15.6316096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6316174Z x = self.blocks(x) 2025-09-07T08:24:15.6316530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6316598Z x = self.se(x) 2025-09-07T08:24:15.6316945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6317032Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6317037Z 2025-09-07T08:24:15.6317171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6317461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6317536Z return mod(*inputs) 2025-09-07T08:24:15.6317862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6318010Z x = self.forward_features(x) 2025-09-07T08:24:15.6318375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6318450Z x = self.blocks(x) 2025-09-07T08:24:15.6318803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6318874Z x = self.se(x) 2025-09-07T08:24:15.6319221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6319299Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6319304Z 2025-09-07T08:24:15.6319441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6319727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6319805Z return mod(*inputs) 2025-09-07T08:24:15.6320182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6320273Z x = self.forward_features(x) 2025-09-07T08:24:15.6320638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6320711Z x = self.blocks(x) 2025-09-07T08:24:15.6321068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6321136Z x = self.se(x) 2025-09-07T08:24:15.6321483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6321571Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6321576Z 2025-09-07T08:24:15.6321710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6321998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6322078Z return mod(*inputs) 2025-09-07T08:24:15.6322412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6322498Z x = self.forward_features(x) 2025-09-07T08:24:15.6322859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6322934Z x = self.blocks(x) 2025-09-07T08:24:15.6323285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6323355Z x = self.se(x) 2025-09-07T08:24:15.6323701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6323782Z return x * self.gate(x_se) 2025-09-07T08:24:15.6323787Z 2025-09-07T08:24:15.6323923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6324337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6324448Z return mod(*inputs) 2025-09-07T08:24:15.6324775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6324859Z x = self.forward_features(x) 2025-09-07T08:24:15.6325222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6325295Z x = self.blocks(x) 2025-09-07T08:24:15.6325647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6325715Z x = self.se(x) 2025-09-07T08:24:15.6326062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6326147Z return x * self.gate(x_se) 2025-09-07T08:24:15.6326151Z 2025-09-07T08:24:15.6326251Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6326443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6326730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6326808Z return mod(*inputs) 2025-09-07T08:24:15.6327133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6327219Z x = self.forward_features(x) 2025-09-07T08:24:15.6327584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6327656Z x = self.blocks(x) 2025-09-07T08:24:15.6328010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6328086Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6328406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6328604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6328937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6329077Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6329081Z 2025-09-07T08:24:15.6329178Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6329310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6329598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6329672Z return mod(*inputs) 2025-09-07T08:24:15.6329998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6330082Z x = self.forward_features(x) 2025-09-07T08:24:15.6330445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6330531Z x = self.blocks(x) 2025-09-07T08:24:15.6330884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6330963Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6331280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6331418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6331748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6331883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6331887Z 2025-09-07T08:24:15.6331986Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6332081Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6332218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6332593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6332705Z return mod(*inputs) 2025-09-07T08:24:15.6333032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6333117Z x = self.forward_features(x) 2025-09-07T08:24:15.6333480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6333551Z x = self.blocks(x) 2025-09-07T08:24:15.6333901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6333981Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6334301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6334380Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6334387Z 2025-09-07T08:24:15.6334520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6334863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6334937Z return mod(*inputs) 2025-09-07T08:24:15.6335263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6335352Z x = self.forward_features(x) 2025-09-07T08:24:15.6335714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6335788Z x = self.blocks(x) 2025-09-07T08:24:15.6336139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6336224Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6336228Z 2025-09-07T08:24:15.6336369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6336702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6336786Z return mod(*inputs) 2025-09-07T08:24:15.6337115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6337199Z x = self.forward_features(x) 2025-09-07T08:24:15.6337562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6337635Z x = self.blocks(x) 2025-09-07T08:24:15.6337991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6338066Z x = self.conv_pw(x) 2025-09-07T08:24:15.6338382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6338522Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6338856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6338997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6339001Z 2025-09-07T08:24:15.6339135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6339423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6339498Z return mod(*inputs) 2025-09-07T08:24:15.6339822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6339909Z x = self.forward_features(x) 2025-09-07T08:24:15.6340269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6340343Z x = self.blocks(x) 2025-09-07T08:24:15.6340695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6340774Z x = self.conv_pw(x) 2025-09-07T08:24:15.6341177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6341320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6341655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6341791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6341796Z 2025-09-07T08:24:15.6341893Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6341989Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6342120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6342409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6342482Z return mod(*inputs) 2025-09-07T08:24:15.6342809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6342951Z x = self.forward_features(x) 2025-09-07T08:24:15.6343314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6343393Z x = self.blocks(x) 2025-09-07T08:24:15.6343750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6343827Z x = self.conv_pw(x) 2025-09-07T08:24:15.6344145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6344223Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6344227Z 2025-09-07T08:24:15.6344365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6344652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6344800Z return mod(*inputs) 2025-09-07T08:24:15.6345131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6345216Z x = self.forward_features(x) 2025-09-07T08:24:15.6345579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6345650Z x = self.blocks(x) 2025-09-07T08:24:15.6346004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6346072Z x = self.bn1(x) 2025-09-07T08:24:15.6346377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6346452Z x = F.batch_norm( 2025-09-07T08:24:15.6346456Z 2025-09-07T08:24:15.6346589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6346876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6346955Z return mod(*inputs) 2025-09-07T08:24:15.6347286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6347372Z x = self.forward_features(x) 2025-09-07T08:24:15.6347734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6347809Z x = self.blocks(x) 2025-09-07T08:24:15.6348161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6348233Z x = self.bn1(x) 2025-09-07T08:24:15.6348536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6348605Z x = self.act(x) 2025-09-07T08:24:15.6348609Z 2025-09-07T08:24:15.6348709Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6348843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6349219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6349301Z return mod(*inputs) 2025-09-07T08:24:15.6349626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6349715Z x = self.forward_features(x) 2025-09-07T08:24:15.6350078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6350153Z x = self.blocks(x) 2025-09-07T08:24:15.6350503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6350575Z x = self.conv_dw(x) 2025-09-07T08:24:15.6350897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6351034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6351423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6351567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6351571Z 2025-09-07T08:24:15.6351670Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6351805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6352092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6352170Z return mod(*inputs) 2025-09-07T08:24:15.6352496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6352584Z x = self.forward_features(x) 2025-09-07T08:24:15.6352947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6353020Z x = self.blocks(x) 2025-09-07T08:24:15.6353432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6353510Z x = self.conv_dw(x) 2025-09-07T08:24:15.6353829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6353966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6354295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6354436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6354440Z 2025-09-07T08:24:15.6354538Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6354675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6354961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6355041Z return mod(*inputs) 2025-09-07T08:24:15.6355369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6355457Z x = self.forward_features(x) 2025-09-07T08:24:15.6355824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6355897Z x = self.blocks(x) 2025-09-07T08:24:15.6356250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6356324Z x = self.conv_dw(x) 2025-09-07T08:24:15.6356643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6356782Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6357113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6357253Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6357341Z 2025-09-07T08:24:15.6357443Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6357579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6357869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6357944Z return mod(*inputs) 2025-09-07T08:24:15.6358285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6358371Z x = self.forward_features(x) 2025-09-07T08:24:15.6358731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6358807Z x = self.blocks(x) 2025-09-07T08:24:15.6359161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6359237Z x = self.conv_dw(x) 2025-09-07T08:24:15.6359559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6359747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6360080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6360214Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6360219Z 2025-09-07T08:24:15.6360318Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6360413Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6360509Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6360602Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6360734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6361024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6361144Z return mod(*inputs) 2025-09-07T08:24:15.6361478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6361566Z x = self.forward_features(x) 2025-09-07T08:24:15.6361928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6362002Z x = self.blocks(x) 2025-09-07T08:24:15.6362356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6362433Z x = self.conv_dw(x) 2025-09-07T08:24:15.6362750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6362827Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6362831Z 2025-09-07T08:24:15.6362932Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6363065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6363359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6363437Z return mod(*inputs) 2025-09-07T08:24:15.6363763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6363850Z x = self.forward_features(x) 2025-09-07T08:24:15.6364212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6364288Z x = self.blocks(x) 2025-09-07T08:24:15.6364640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6364710Z x = self.se(x) 2025-09-07T08:24:15.6365059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6365144Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6365149Z 2025-09-07T08:24:15.6365289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6365665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6365748Z return mod(*inputs) 2025-09-07T08:24:15.6366075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6366160Z x = self.forward_features(x) 2025-09-07T08:24:15.6366526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6366599Z x = self.blocks(x) 2025-09-07T08:24:15.6366954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6367022Z x = self.se(x) 2025-09-07T08:24:15.6367370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6367458Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6367505Z 2025-09-07T08:24:15.6367647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6367940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6368015Z return mod(*inputs) 2025-09-07T08:24:15.6368355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6368440Z x = self.forward_features(x) 2025-09-07T08:24:15.6368802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6368877Z x = self.blocks(x) 2025-09-07T08:24:15.6369230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6369301Z x = self.se(x) 2025-09-07T08:24:15.6369648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6369791Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6369795Z 2025-09-07T08:24:15.6369932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6370221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6370301Z return mod(*inputs) 2025-09-07T08:24:15.6370628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6370712Z x = self.forward_features(x) 2025-09-07T08:24:15.6371075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6371148Z x = self.blocks(x) 2025-09-07T08:24:15.6371503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6371570Z x = self.se(x) 2025-09-07T08:24:15.6371925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6372017Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6372022Z 2025-09-07T08:24:15.6372155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6372443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6372517Z return mod(*inputs) 2025-09-07T08:24:15.6372845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6372930Z x = self.forward_features(x) 2025-09-07T08:24:15.6373291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6373366Z x = self.blocks(x) 2025-09-07T08:24:15.6373717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6373790Z x = self.se(x) 2025-09-07T08:24:15.6374228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6374313Z return x * self.gate(x_se) 2025-09-07T08:24:15.6374318Z 2025-09-07T08:24:15.6374454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6374740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6374817Z return mod(*inputs) 2025-09-07T08:24:15.6375140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6375224Z x = self.forward_features(x) 2025-09-07T08:24:15.6375590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6375663Z x = self.blocks(x) 2025-09-07T08:24:15.6376016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6376192Z x = self.se(x) 2025-09-07T08:24:15.6376543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6376629Z return x * self.gate(x_se) 2025-09-07T08:24:15.6376634Z 2025-09-07T08:24:15.6376730Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6376867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6377153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6377231Z return mod(*inputs) 2025-09-07T08:24:15.6377556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6377641Z x = self.forward_features(x) 2025-09-07T08:24:15.6378005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6378126Z x = self.blocks(x) 2025-09-07T08:24:15.6378484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6378561Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6378876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6379015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6379344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6379481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6379485Z 2025-09-07T08:24:15.6379582Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6379715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6380006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6380089Z return mod(*inputs) 2025-09-07T08:24:15.6380420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6380505Z x = self.forward_features(x) 2025-09-07T08:24:15.6380871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6380943Z x = self.blocks(x) 2025-09-07T08:24:15.6381295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6381374Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6381693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6381832Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6382163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6382387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6382392Z 2025-09-07T08:24:15.6382498Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6382598Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6382739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6383026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6383100Z return mod(*inputs) 2025-09-07T08:24:15.6383430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6383514Z x = self.forward_features(x) 2025-09-07T08:24:15.6383879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6383950Z x = self.blocks(x) 2025-09-07T08:24:15.6384310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6384440Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6384760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6384840Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6384844Z 2025-09-07T08:24:15.6384978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6385267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6385343Z return mod(*inputs) 2025-09-07T08:24:15.6385669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6385759Z x = self.forward_features(x) 2025-09-07T08:24:15.6386122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6386246Z x = self.blocks(x) 2025-09-07T08:24:15.6386606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6386691Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6386696Z 2025-09-07T08:24:15.6386833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6387118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6387194Z return mod(*inputs) 2025-09-07T08:24:15.6387520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6387604Z x = self.forward_features(x) 2025-09-07T08:24:15.6387970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6388043Z x = self.blocks(x) 2025-09-07T08:24:15.6388399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6388480Z x = self.conv_pw(x) 2025-09-07T08:24:15.6388485Z 2025-09-07T08:24:15.6388623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6388911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6388986Z return mod(*inputs) 2025-09-07T08:24:15.6389314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6389398Z x = self.forward_features(x) 2025-09-07T08:24:15.6389764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6389837Z x = self.blocks(x) 2025-09-07T08:24:15.6390189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6390262Z x = self.bn1(x) 2025-09-07T08:24:15.6390644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6390730Z x = F.batch_norm( 2025-09-07T08:24:15.6390734Z 2025-09-07T08:24:15.6390869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6391156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6391236Z return mod(*inputs) 2025-09-07T08:24:15.6391566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6391654Z x = self.forward_features(x) 2025-09-07T08:24:15.6392020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6392093Z x = self.blocks(x) 2025-09-07T08:24:15.6392452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6392524Z x = self.bn1(x) 2025-09-07T08:24:15.6392880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6392949Z x = self.act(x) 2025-09-07T08:24:15.6392954Z 2025-09-07T08:24:15.6393053Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6393186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6393474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6393551Z return mod(*inputs) 2025-09-07T08:24:15.6393877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6393964Z x = self.forward_features(x) 2025-09-07T08:24:15.6394328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6394400Z x = self.blocks(x) 2025-09-07T08:24:15.6394810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6394886Z x = self.conv_dw(x) 2025-09-07T08:24:15.6395208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6395345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6395677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6395817Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6395821Z 2025-09-07T08:24:15.6395917Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6396056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6396346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6396420Z return mod(*inputs) 2025-09-07T08:24:15.6396752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6396840Z x = self.forward_features(x) 2025-09-07T08:24:15.6397204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6397277Z x = self.blocks(x) 2025-09-07T08:24:15.6397632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6397706Z x = self.conv_dw(x) 2025-09-07T08:24:15.6398023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6398162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6398491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6398627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6398636Z 2025-09-07T08:24:15.6398812Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6398955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6399247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6399322Z return mod(*inputs) 2025-09-07T08:24:15.6399649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6399733Z x = self.forward_features(x) 2025-09-07T08:24:15.6400097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6400174Z x = self.blocks(x) 2025-09-07T08:24:15.6400527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6400604Z x = self.conv_dw(x) 2025-09-07T08:24:15.6400928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6401119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6401453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6401587Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6401592Z 2025-09-07T08:24:15.6401699Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6401834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6402125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6402200Z return mod(*inputs) 2025-09-07T08:24:15.6402528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6402615Z x = self.forward_features(x) 2025-09-07T08:24:15.6403033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6403113Z x = self.blocks(x) 2025-09-07T08:24:15.6403467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6403541Z x = self.conv_dw(x) 2025-09-07T08:24:15.6403863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6404000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6404333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6404469Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6404474Z 2025-09-07T08:24:15.6404574Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6404670Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6404766Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6404870Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6405004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6405398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6405482Z return mod(*inputs) 2025-09-07T08:24:15.6405819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6405908Z x = self.forward_features(x) 2025-09-07T08:24:15.6406273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6406349Z x = self.blocks(x) 2025-09-07T08:24:15.6406700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6406774Z x = self.conv_dw(x) 2025-09-07T08:24:15.6407269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6407391Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6407395Z 2025-09-07T08:24:15.6407497Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6407630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6407917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6407996Z return mod(*inputs) 2025-09-07T08:24:15.6408321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6408410Z x = self.forward_features(x) 2025-09-07T08:24:15.6408772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6408846Z x = self.blocks(x) 2025-09-07T08:24:15.6409201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6409350Z x = self.se(x) 2025-09-07T08:24:15.6409702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6409788Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6409792Z 2025-09-07T08:24:15.6409926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6410216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6410292Z return mod(*inputs) 2025-09-07T08:24:15.6410621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6410706Z x = self.forward_features(x) 2025-09-07T08:24:15.6411071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6411206Z x = self.blocks(x) 2025-09-07T08:24:15.6411565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6411637Z x = self.se(x) 2025-09-07T08:24:15.6411983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6412071Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6412076Z 2025-09-07T08:24:15.6412210Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6412497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6412574Z return mod(*inputs) 2025-09-07T08:24:15.6412900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6412989Z x = self.forward_features(x) 2025-09-07T08:24:15.6413347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6413427Z x = self.blocks(x) 2025-09-07T08:24:15.6413782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6413850Z x = self.se(x) 2025-09-07T08:24:15.6414201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6414280Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6414285Z 2025-09-07T08:24:15.6414420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6414706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6423835Z return mod(*inputs) 2025-09-07T08:24:15.6424249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6424338Z x = self.forward_features(x) 2025-09-07T08:24:15.6424863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6424971Z x = self.blocks(x) 2025-09-07T08:24:15.6425326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6425394Z x = self.se(x) 2025-09-07T08:24:15.6425744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6425829Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6425834Z 2025-09-07T08:24:15.6425971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6426258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6426331Z return mod(*inputs) 2025-09-07T08:24:15.6426661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6426749Z x = self.forward_features(x) 2025-09-07T08:24:15.6427177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6427250Z x = self.blocks(x) 2025-09-07T08:24:15.6427603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6427672Z x = self.se(x) 2025-09-07T08:24:15.6428019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6428104Z return x * self.gate(x_se) 2025-09-07T08:24:15.6428109Z 2025-09-07T08:24:15.6428243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6428531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6428609Z return mod(*inputs) 2025-09-07T08:24:15.6428933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6429108Z x = self.forward_features(x) 2025-09-07T08:24:15.6429473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6429547Z x = self.blocks(x) 2025-09-07T08:24:15.6429900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6429967Z x = self.se(x) 2025-09-07T08:24:15.6430316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6430398Z return x * self.gate(x_se) 2025-09-07T08:24:15.6430402Z 2025-09-07T08:24:15.6430539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6430826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6430900Z return mod(*inputs) 2025-09-07T08:24:15.6431237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6431324Z x = self.forward_features(x) 2025-09-07T08:24:15.6431688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6431761Z x = self.blocks(x) 2025-09-07T08:24:15.6432112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6432190Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6432195Z 2025-09-07T08:24:15.6432329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6432616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6432691Z return mod(*inputs) 2025-09-07T08:24:15.6433020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6433110Z x = self.forward_features(x) 2025-09-07T08:24:15.6433561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6433641Z x = self.blocks(x) 2025-09-07T08:24:15.6433994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:24:15.6434066Z x = self.bn3(x) 2025-09-07T08:24:15.6434373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6434442Z x = F.batch_norm( 2025-09-07T08:24:15.6434447Z 2025-09-07T08:24:15.6434583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6434872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6434949Z return mod(*inputs) 2025-09-07T08:24:15.6435275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6435418Z x = self.forward_features(x) 2025-09-07T08:24:15.6435785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6435857Z x = self.blocks(x) 2025-09-07T08:24:15.6436213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6436286Z x = self.conv_pw(x) 2025-09-07T08:24:15.6436290Z 2025-09-07T08:24:15.6436423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6436709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6436785Z return mod(*inputs) 2025-09-07T08:24:15.6437115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6437246Z x = self.forward_features(x) 2025-09-07T08:24:15.6437615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6437692Z x = self.blocks(x) 2025-09-07T08:24:15.6438044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6438117Z x = self.bn1(x) 2025-09-07T08:24:15.6438422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6438495Z x = F.batch_norm( 2025-09-07T08:24:15.6438500Z 2025-09-07T08:24:15.6438632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6438916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6438994Z return mod(*inputs) 2025-09-07T08:24:15.6439320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6439409Z x = self.forward_features(x) 2025-09-07T08:24:15.6439776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6439848Z x = self.blocks(x) 2025-09-07T08:24:15.6440205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6440274Z x = self.bn1(x) 2025-09-07T08:24:15.6440584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6440655Z x = self.act(x) 2025-09-07T08:24:15.6440659Z 2025-09-07T08:24:15.6440756Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6440894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6441180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6441257Z return mod(*inputs) 2025-09-07T08:24:15.6441675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6441766Z x = self.forward_features(x) 2025-09-07T08:24:15.6442136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6442208Z x = self.blocks(x) 2025-09-07T08:24:15.6442566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6442639Z x = self.conv_dw(x) 2025-09-07T08:24:15.6442963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6443104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6443435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6443579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6443625Z 2025-09-07T08:24:15.6443730Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6443867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6444155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6444230Z return mod(*inputs) 2025-09-07T08:24:15.6444560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6444646Z x = self.forward_features(x) 2025-09-07T08:24:15.6445011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6445084Z x = self.blocks(x) 2025-09-07T08:24:15.6445435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6445511Z x = self.conv_dw(x) 2025-09-07T08:24:15.6445888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6446038Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6446373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6446512Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6446517Z 2025-09-07T08:24:15.6446613Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6446747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6447039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6447115Z return mod(*inputs) 2025-09-07T08:24:15.6447446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6447531Z x = self.forward_features(x) 2025-09-07T08:24:15.6447901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6447980Z x = self.blocks(x) 2025-09-07T08:24:15.6448330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6448408Z x = self.conv_dw(x) 2025-09-07T08:24:15.6448724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6448862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6449194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6449329Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6449333Z 2025-09-07T08:24:15.6449431Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6449566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6449967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6450047Z return mod(*inputs) 2025-09-07T08:24:15.6450375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6450464Z x = self.forward_features(x) 2025-09-07T08:24:15.6450829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6450904Z x = self.blocks(x) 2025-09-07T08:24:15.6451259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6451333Z x = self.conv_dw(x) 2025-09-07T08:24:15.6451654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6451790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6452177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6452314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6452318Z 2025-09-07T08:24:15.6452415Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6452515Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6452610Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6452705Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6452837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6453122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6453200Z return mod(*inputs) 2025-09-07T08:24:15.6453523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6453611Z x = self.forward_features(x) 2025-09-07T08:24:15.6454030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6454106Z x = self.blocks(x) 2025-09-07T08:24:15.6454461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6454535Z x = self.conv_dw(x) 2025-09-07T08:24:15.6454856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6454937Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6454941Z 2025-09-07T08:24:15.6455042Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6455177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6455462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6455539Z return mod(*inputs) 2025-09-07T08:24:15.6455865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6455960Z x = self.forward_features(x) 2025-09-07T08:24:15.6456321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6456394Z x = self.blocks(x) 2025-09-07T08:24:15.6456752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6456820Z x = self.se(x) 2025-09-07T08:24:15.6457172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6457257Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6457262Z 2025-09-07T08:24:15.6457394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6457683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6457761Z return mod(*inputs) 2025-09-07T08:24:15.6458179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6458289Z x = self.forward_features(x) 2025-09-07T08:24:15.6458651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6458726Z x = self.blocks(x) 2025-09-07T08:24:15.6459078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6459148Z x = self.se(x) 2025-09-07T08:24:15.6459495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6459582Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6459587Z 2025-09-07T08:24:15.6459720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6460008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6460140Z return mod(*inputs) 2025-09-07T08:24:15.6460465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6460553Z x = self.forward_features(x) 2025-09-07T08:24:15.6460914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6460987Z x = self.blocks(x) 2025-09-07T08:24:15.6461343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6461412Z x = self.se(x) 2025-09-07T08:24:15.6461761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6461837Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6461842Z 2025-09-07T08:24:15.6461975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6462322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6462398Z return mod(*inputs) 2025-09-07T08:24:15.6462727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6462812Z x = self.forward_features(x) 2025-09-07T08:24:15.6463175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6463250Z x = self.blocks(x) 2025-09-07T08:24:15.6463601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6463670Z x = self.se(x) 2025-09-07T08:24:15.6464018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6464105Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6464111Z 2025-09-07T08:24:15.6464249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6464538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6464616Z return mod(*inputs) 2025-09-07T08:24:15.6464941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6465028Z x = self.forward_features(x) 2025-09-07T08:24:15.6465388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6465460Z x = self.blocks(x) 2025-09-07T08:24:15.6465816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6465884Z x = self.se(x) 2025-09-07T08:24:15.6466234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6466317Z return x * self.gate(x_se) 2025-09-07T08:24:15.6466323Z 2025-09-07T08:24:15.6466588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6466882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6466955Z return mod(*inputs) 2025-09-07T08:24:15.6467284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6467391Z x = self.forward_features(x) 2025-09-07T08:24:15.6467755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6467829Z x = self.blocks(x) 2025-09-07T08:24:15.6468177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6468247Z x = self.se(x) 2025-09-07T08:24:15.6468592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6468732Z return x * self.gate(x_se) 2025-09-07T08:24:15.6468737Z 2025-09-07T08:24:15.6468833Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6468968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6469257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6469331Z return mod(*inputs) 2025-09-07T08:24:15.6469659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6469743Z x = self.forward_features(x) 2025-09-07T08:24:15.6470104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6470179Z x = self.blocks(x) 2025-09-07T08:24:15.6470527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6470659Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6470982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6471121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6471453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6471590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6471594Z 2025-09-07T08:24:15.6471693Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6471827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6472118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6472194Z return mod(*inputs) 2025-09-07T08:24:15.6472520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6472612Z x = self.forward_features(x) 2025-09-07T08:24:15.6472979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6473055Z x = self.blocks(x) 2025-09-07T08:24:15.6473409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6473485Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6473804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6473939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6474271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6474406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6474410Z 2025-09-07T08:24:15.6474508Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6474693Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6474828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6475115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6475189Z return mod(*inputs) 2025-09-07T08:24:15.6475514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6475601Z x = self.forward_features(x) 2025-09-07T08:24:15.6475964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6476041Z x = self.blocks(x) 2025-09-07T08:24:15.6476394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6476474Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6476797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6476922Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6476926Z 2025-09-07T08:24:15.6477065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6477351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6477428Z return mod(*inputs) 2025-09-07T08:24:15.6477753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6477838Z x = self.forward_features(x) 2025-09-07T08:24:15.6478204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6478276Z x = self.blocks(x) 2025-09-07T08:24:15.6478631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6478781Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6478787Z 2025-09-07T08:24:15.6478925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6479218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6479295Z return mod(*inputs) 2025-09-07T08:24:15.6479627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6479712Z x = self.forward_features(x) 2025-09-07T08:24:15.6480080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6480152Z x = self.blocks(x) 2025-09-07T08:24:15.6480505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6480583Z x = self.conv_pw(x) 2025-09-07T08:24:15.6480587Z 2025-09-07T08:24:15.6480720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6481017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6481091Z return mod(*inputs) 2025-09-07T08:24:15.6481416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6481504Z x = self.forward_features(x) 2025-09-07T08:24:15.6481867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6481941Z x = self.blocks(x) 2025-09-07T08:24:15.6482293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6482361Z x = self.bn1(x) 2025-09-07T08:24:15.6482670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6482739Z x = F.batch_norm( 2025-09-07T08:24:15.6482745Z 2025-09-07T08:24:15.6482881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6483254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6483335Z return mod(*inputs) 2025-09-07T08:24:15.6483667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6483751Z x = self.forward_features(x) 2025-09-07T08:24:15.6484118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6484191Z x = self.blocks(x) 2025-09-07T08:24:15.6484547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6484614Z x = self.bn1(x) 2025-09-07T08:24:15.6484920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6484995Z x = self.act(x) 2025-09-07T08:24:15.6485045Z 2025-09-07T08:24:15.6485148Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6485286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6485575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6485649Z return mod(*inputs) 2025-09-07T08:24:15.6485981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6486067Z x = self.forward_features(x) 2025-09-07T08:24:15.6486430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6486503Z x = self.blocks(x) 2025-09-07T08:24:15.6486855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6486932Z x = self.conv_dw(x) 2025-09-07T08:24:15.6487302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6487453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6487785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6487920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6487929Z 2025-09-07T08:24:15.6488025Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6488159Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6488450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6488524Z return mod(*inputs) 2025-09-07T08:24:15.6488850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6488935Z x = self.forward_features(x) 2025-09-07T08:24:15.6489307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6489384Z x = self.blocks(x) 2025-09-07T08:24:15.6489738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6489813Z x = self.conv_dw(x) 2025-09-07T08:24:15.6490131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6490265Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6490598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6490734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6490738Z 2025-09-07T08:24:15.6490838Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6490971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6491337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6491422Z return mod(*inputs) 2025-09-07T08:24:15.6491751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6491839Z x = self.forward_features(x) 2025-09-07T08:24:15.6492204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6492279Z x = self.blocks(x) 2025-09-07T08:24:15.6492632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6492708Z x = self.conv_dw(x) 2025-09-07T08:24:15.6493033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6493167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6493506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6493704Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6493709Z 2025-09-07T08:24:15.6493810Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6493943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6494230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6494307Z return mod(*inputs) 2025-09-07T08:24:15.6494632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6494717Z x = self.forward_features(x) 2025-09-07T08:24:15.6495082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6495153Z x = self.blocks(x) 2025-09-07T08:24:15.6495553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6495628Z x = self.conv_dw(x) 2025-09-07T08:24:15.6495950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6496086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6496415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6496552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6496557Z 2025-09-07T08:24:15.6496653Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6496752Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6496845Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6496939Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6497083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6497380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6497458Z return mod(*inputs) 2025-09-07T08:24:15.6497785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6497872Z x = self.forward_features(x) 2025-09-07T08:24:15.6498240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6498313Z x = self.blocks(x) 2025-09-07T08:24:15.6498668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6498742Z x = self.conv_dw(x) 2025-09-07T08:24:15.6499061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6499144Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6499150Z 2025-09-07T08:24:15.6499248Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6499476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6499769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6499844Z return mod(*inputs) 2025-09-07T08:24:15.6500173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6500259Z x = self.forward_features(x) 2025-09-07T08:24:15.6500626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6500699Z x = self.blocks(x) 2025-09-07T08:24:15.6501056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6501124Z x = self.se(x) 2025-09-07T08:24:15.6501474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6501614Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6501619Z 2025-09-07T08:24:15.6501754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6502042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6502119Z return mod(*inputs) 2025-09-07T08:24:15.6502446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6502534Z x = self.forward_features(x) 2025-09-07T08:24:15.6502897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6502972Z x = self.blocks(x) 2025-09-07T08:24:15.6503326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6503443Z x = self.se(x) 2025-09-07T08:24:15.6503801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6503889Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6503894Z 2025-09-07T08:24:15.6504033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6504322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6504396Z return mod(*inputs) 2025-09-07T08:24:15.6504727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6504814Z x = self.forward_features(x) 2025-09-07T08:24:15.6505260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6505335Z x = self.blocks(x) 2025-09-07T08:24:15.6505693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6505766Z x = self.se(x) 2025-09-07T08:24:15.6506117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6506199Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6506204Z 2025-09-07T08:24:15.6506339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6506629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6506705Z return mod(*inputs) 2025-09-07T08:24:15.6507030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6507118Z x = self.forward_features(x) 2025-09-07T08:24:15.6507481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6507555Z x = self.blocks(x) 2025-09-07T08:24:15.6508064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6508140Z x = self.se(x) 2025-09-07T08:24:15.6508491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6508578Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6508582Z 2025-09-07T08:24:15.6508718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6509005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6509081Z return mod(*inputs) 2025-09-07T08:24:15.6509407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6509493Z x = self.forward_features(x) 2025-09-07T08:24:15.6509861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6509936Z x = self.blocks(x) 2025-09-07T08:24:15.6510398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6510468Z x = self.se(x) 2025-09-07T08:24:15.6510814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6510899Z return x * self.gate(x_se) 2025-09-07T08:24:15.6510903Z 2025-09-07T08:24:15.6511038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6511326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6511402Z return mod(*inputs) 2025-09-07T08:24:15.6511727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6511814Z x = self.forward_features(x) 2025-09-07T08:24:15.6512175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6512323Z x = self.blocks(x) 2025-09-07T08:24:15.6512677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6512745Z x = self.se(x) 2025-09-07T08:24:15.6513096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6513178Z return x * self.gate(x_se) 2025-09-07T08:24:15.6513182Z 2025-09-07T08:24:15.6513282Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6513416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6513705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6513780Z return mod(*inputs) 2025-09-07T08:24:15.6514107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6514197Z x = self.forward_features(x) 2025-09-07T08:24:15.6514565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6514640Z x = self.blocks(x) 2025-09-07T08:24:15.6514989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6515065Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6515389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6515526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6515859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6515994Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6515998Z 2025-09-07T08:24:15.6516093Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6516317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6516611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6516689Z return mod(*inputs) 2025-09-07T08:24:15.6517016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6517102Z x = self.forward_features(x) 2025-09-07T08:24:15.6517467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6517540Z x = self.blocks(x) 2025-09-07T08:24:15.6517895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6517972Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6518292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6518436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6518818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6518960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6518965Z 2025-09-07T08:24:15.6519063Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6519162Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6519296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6519582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6519661Z return mod(*inputs) 2025-09-07T08:24:15.6519988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6520076Z x = self.forward_features(x) 2025-09-07T08:24:15.6520443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6520570Z x = self.blocks(x) 2025-09-07T08:24:15.6520925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6521001Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6521322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6521400Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6521405Z 2025-09-07T08:24:15.6521540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6521827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6521901Z return mod(*inputs) 2025-09-07T08:24:15.6522232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6522319Z x = self.forward_features(x) 2025-09-07T08:24:15.6522689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6522764Z x = self.blocks(x) 2025-09-07T08:24:15.6523117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6523205Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6523210Z 2025-09-07T08:24:15.6523344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6523634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6523708Z return mod(*inputs) 2025-09-07T08:24:15.6524034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6524121Z x = self.forward_features(x) 2025-09-07T08:24:15.6524481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6524687Z x = self.blocks(x) 2025-09-07T08:24:15.6525047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:24:15.6525122Z x = self.conv_pw(x) 2025-09-07T08:24:15.6525130Z 2025-09-07T08:24:15.6525264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6525551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6525627Z return mod(*inputs) 2025-09-07T08:24:15.6525955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6526042Z x = self.forward_features(x) 2025-09-07T08:24:15.6526404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6526477Z x = self.blocks(x) 2025-09-07T08:24:15.6526839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6526958Z x = self.bn1(x) 2025-09-07T08:24:15.6527270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:24:15.6527341Z x = F.batch_norm( 2025-09-07T08:24:15.6527345Z 2025-09-07T08:24:15.6527478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6527767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6527842Z return mod(*inputs) 2025-09-07T08:24:15.6528168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6528253Z x = self.forward_features(x) 2025-09-07T08:24:15.6528614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6528733Z x = self.blocks(x) 2025-09-07T08:24:15.6529092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:24:15.6529163Z x = self.bn1(x) 2025-09-07T08:24:15.6529468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:24:15.6529536Z x = self.act(x) 2025-09-07T08:24:15.6529543Z 2025-09-07T08:24:15.6529639Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6529771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6530062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6530136Z return mod(*inputs) 2025-09-07T08:24:15.6530463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6530549Z x = self.forward_features(x) 2025-09-07T08:24:15.6530915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6530992Z x = self.blocks(x) 2025-09-07T08:24:15.6531343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6531419Z x = self.conv_dw(x) 2025-09-07T08:24:15.6531738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6531876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6532213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6532348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6532352Z 2025-09-07T08:24:15.6532451Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6532584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6532960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6533045Z return mod(*inputs) 2025-09-07T08:24:15.6533369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6533457Z x = self.forward_features(x) 2025-09-07T08:24:15.6533823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6533895Z x = self.blocks(x) 2025-09-07T08:24:15.6534251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6534324Z x = self.conv_dw(x) 2025-09-07T08:24:15.6534647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6534784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6535125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6535311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6535316Z 2025-09-07T08:24:15.6535414Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6535552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6535839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6535918Z return mod(*inputs) 2025-09-07T08:24:15.6536244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6536328Z x = self.forward_features(x) 2025-09-07T08:24:15.6536695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6536767Z x = self.blocks(x) 2025-09-07T08:24:15.6537174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6537251Z x = self.conv_dw(x) 2025-09-07T08:24:15.6537569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6537709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6538040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6538177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6538182Z 2025-09-07T08:24:15.6538277Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6538412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6538700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6538774Z return mod(*inputs) 2025-09-07T08:24:15.6539109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6539196Z x = self.forward_features(x) 2025-09-07T08:24:15.6539559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6539631Z x = self.blocks(x) 2025-09-07T08:24:15.6539987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6540063Z x = self.conv_dw(x) 2025-09-07T08:24:15.6540385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6540524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6540855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6540989Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6541000Z 2025-09-07T08:24:15.6541205Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6541306Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6541403Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6541495Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6541625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6541916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6541991Z return mod(*inputs) 2025-09-07T08:24:15.6542320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6542405Z x = self.forward_features(x) 2025-09-07T08:24:15.6542773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6542845Z x = self.blocks(x) 2025-09-07T08:24:15.6543203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:24:15.6543323Z x = self.conv_dw(x) 2025-09-07T08:24:15.6543640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6543720Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6543724Z 2025-09-07T08:24:15.6543819Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6543954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6544243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6544316Z return mod(*inputs) 2025-09-07T08:24:15.6544643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6544727Z x = self.forward_features(x) 2025-09-07T08:24:15.6545090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6545219Z x = self.blocks(x) 2025-09-07T08:24:15.6545573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6545644Z x = self.se(x) 2025-09-07T08:24:15.6545994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:24:15.6546080Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:24:15.6546085Z 2025-09-07T08:24:15.6546221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6546507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6546585Z return mod(*inputs) 2025-09-07T08:24:15.6546909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6546996Z x = self.forward_features(x) 2025-09-07T08:24:15.6547364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6547438Z x = self.blocks(x) 2025-09-07T08:24:15.6547793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6547860Z x = self.se(x) 2025-09-07T08:24:15.6548210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T08:24:15.6548295Z x_se = self.conv_reduce(x_se) 2025-09-07T08:24:15.6548299Z 2025-09-07T08:24:15.6548432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6548723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6548797Z return mod(*inputs) 2025-09-07T08:24:15.6549127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6549216Z x = self.forward_features(x) 2025-09-07T08:24:15.6549662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6549741Z x = self.blocks(x) 2025-09-07T08:24:15.6550093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6550162Z x = self.se(x) 2025-09-07T08:24:15.6550512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:24:15.6550590Z x_se = self.act1(x_se) 2025-09-07T08:24:15.6550597Z 2025-09-07T08:24:15.6550730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6551018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6551095Z return mod(*inputs) 2025-09-07T08:24:15.6551429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6551567Z x = self.forward_features(x) 2025-09-07T08:24:15.6551929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6552002Z x = self.blocks(x) 2025-09-07T08:24:15.6552356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6552425Z x = self.se(x) 2025-09-07T08:24:15.6552775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T08:24:15.6552860Z x_se = self.conv_expand(x_se) 2025-09-07T08:24:15.6552864Z 2025-09-07T08:24:15.6552998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6553287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6553407Z return mod(*inputs) 2025-09-07T08:24:15.6553741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6553828Z x = self.forward_features(x) 2025-09-07T08:24:15.6554191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6554267Z x = self.blocks(x) 2025-09-07T08:24:15.6554623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6554696Z x = self.se(x) 2025-09-07T08:24:15.6555043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6555126Z return x * self.gate(x_se) 2025-09-07T08:24:15.6555134Z 2025-09-07T08:24:15.6555270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6555554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6555639Z return mod(*inputs) 2025-09-07T08:24:15.6555966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6556054Z x = self.forward_features(x) 2025-09-07T08:24:15.6556418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6556490Z x = self.blocks(x) 2025-09-07T08:24:15.6556850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:24:15.6556917Z x = self.se(x) 2025-09-07T08:24:15.6557270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:24:15.6557352Z return x * self.gate(x_se) 2025-09-07T08:24:15.6557356Z 2025-09-07T08:24:15.6557453Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6557593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6557968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6558053Z return mod(*inputs) 2025-09-07T08:24:15.6558379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6558464Z x = self.forward_features(x) 2025-09-07T08:24:15.6558830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6558903Z x = self.blocks(x) 2025-09-07T08:24:15.6559257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6559333Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6559653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6559794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6560175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6560315Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6560320Z 2025-09-07T08:24:15.6560417Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6560553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6560841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6560916Z return mod(*inputs) 2025-09-07T08:24:15.6561243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6561328Z x = self.forward_features(x) 2025-09-07T08:24:15.6561693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6561818Z x = self.blocks(x) 2025-09-07T08:24:15.6562179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6562259Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6562580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:24:15.6562718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6563048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:24:15.6565707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:24:15.6565728Z 2025-09-07T08:24:15.6565884Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6565983Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6566123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6566421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6566503Z return mod(*inputs) 2025-09-07T08:24:15.6566837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6566923Z x = self.forward_features(x) 2025-09-07T08:24:15.6567293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6567366Z x = self.blocks(x) 2025-09-07T08:24:15.6567719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:24:15.6567818Z x = self.conv_pwl(x) 2025-09-07T08:24:15.6568139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:24:15.6568217Z x = torch.cat(x_out, 1) 2025-09-07T08:24:15.6568225Z 2025-09-07T08:24:15.6568357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6568734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6568816Z return mod(*inputs) 2025-09-07T08:24:15.6569143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6569230Z x = self.forward_features(x) 2025-09-07T08:24:15.6569594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:24:15.6569667Z x = self.blocks(x) 2025-09-07T08:24:15.6570026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:24:15.6570112Z x = self.drop_path(x) + shortcut 2025-09-07T08:24:15.6570116Z 2025-09-07T08:24:15.6570254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6570540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6570667Z return mod(*inputs) 2025-09-07T08:24:15.6570999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:24:15.6571085Z x = self.forward_features(x) 2025-09-07T08:24:15.6571451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T08:24:15.6571529Z x = self.conv_head(x) 2025-09-07T08:24:15.6571533Z 2025-09-07T08:24:15.6571633Z cudagraph partition due to non gpu ops 2025-09-07T08:24:15.6571766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6572058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6572134Z return mod(*inputs) 2025-09-07T08:24:15.6572463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:24:15.6572602Z x = self.forward_head(x) 2025-09-07T08:24:15.6572952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:24:15.6573032Z x = self.global_pool(x) 2025-09-07T08:24:15.6573393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:24:15.6573465Z x = self.pool(x) 2025-09-07T08:24:15.6573469Z 2025-09-07T08:24:15.6573607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:24:15.6573893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:24:15.6574069Z return mod(*inputs) 2025-09-07T08:24:15.6574404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:24:15.6574485Z x = self.forward_head(x) 2025-09-07T08:24:15.6574834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T08:24:15.6574961Z return x if pre_logits else self.classifier(x) 2025-09-07T08:24:15.6574966Z 2025-09-07T08:25:05.7447132Z 2025-09-07T08:25:21.5059703Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T09:49:22.5705662Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T09:49:22.5715166Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:22.5715485Z env: 2025-09-07T09:49:22.5715658Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:22.5716046Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:22.5716454Z ##[endgroup] 2025-09-07T09:49:22.5744789Z + [[ -n '' ]] 2025-09-07T09:49:22.5745084Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T09:49:22.7938209Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:49:23.6984863Z Collecting boto3==1.35.33 2025-09-07T09:49:23.7149068Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T09:49:23.9658729Z Collecting psutil==7.0.0 2025-09-07T09:49:23.9692649Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279 kB) 2025-09-07T09:49:23.9934675Z Collecting pynvml==12.0.0 2025-09-07T09:49:23.9977364Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T09:49:24.0369496Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T09:49:24.0402958Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T09:49:24.0453935Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-09-07T09:49:25.0044884Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T09:49:25.0081379Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T09:49:25.1827220Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T09:49:25.1869337Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T09:49:25.1949239Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-09-07T09:49:25.1955125Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T09:49:25.3472747Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-09-07T09:49:25.4485459Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T09:49:26.1382244Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T09:49:26.2224405Z + DEVICE_NAME= 2025-09-07T09:49:26.2224608Z + DEVICE_TYPE= 2025-09-07T09:49:26.2224805Z + command -v nvidia-smi 2025-09-07T09:49:26.2225238Z + command -v rocminfo 2025-09-07T09:49:26.2225484Z + echo DEVICE_NAME= 2025-09-07T09:49:26.2226007Z + echo DEVICE_TYPE= 2025-09-07T09:49:26.2246790Z ##[group]Run set -eux 2025-09-07T09:49:26.2247033Z set -eux 2025-09-07T09:49:26.2247219Z  2025-09-07T09:49:26.2247414Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T09:49:26.2247720Z  echo "Missing github-token input" 2025-09-07T09:49:26.2247986Z  exit 1 2025-09-07T09:49:26.2248165Z fi 2025-09-07T09:49:26.2255483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:26.2255800Z env: 2025-09-07T09:49:26.2255977Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:26.2256370Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:26.2256789Z DEVICE_NAME: 2025-09-07T09:49:26.2256982Z DEVICE_TYPE: 2025-09-07T09:49:26.2257376Z GITHUB_TOKEN: *** 2025-09-07T09:49:26.2257566Z ##[endgroup] 2025-09-07T09:49:26.2281396Z + [[ -z *** ]] 2025-09-07T09:49:26.2319880Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T09:49:26.2320252Z with: 2025-09-07T09:49:26.2320721Z github-token: *** 2025-09-07T09:49:26.2320911Z env: 2025-09-07T09:49:26.2321092Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:26.2321483Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:26.2321904Z DEVICE_NAME: 2025-09-07T09:49:26.2322085Z DEVICE_TYPE: 2025-09-07T09:49:26.2322262Z ##[endgroup] 2025-09-07T09:49:26.2335270Z ##[group]Run set -eux 2025-09-07T09:49:26.2335490Z set -eux 2025-09-07T09:49:26.2335671Z  2025-09-07T09:49:26.2336072Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:49:26.2342009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:26.2342332Z env: 2025-09-07T09:49:26.2342506Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:26.2342897Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:26.2343462Z DEVICE_NAME: 2025-09-07T09:49:26.2343649Z DEVICE_TYPE: 2025-09-07T09:49:26.2343978Z GITHUB_TOKEN: *** 2025-09-07T09:49:26.2344169Z ##[endgroup] 2025-09-07T09:49:26.2365530Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525321311 i-0fa0d208f43533168 2025-09-07T09:49:27.7637258Z setting job-id=49775354766 2025-09-07T09:49:27.7637803Z setting job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T09:49:27.7734002Z ##[group]Run set -eux 2025-09-07T09:49:27.7734231Z set -eux 2025-09-07T09:49:27.7734418Z  2025-09-07T09:49:27.7734819Z if [[ -n "" ]]; then 2025-09-07T09:49:27.7735073Z  source "" 2025-09-07T09:49:27.7735266Z fi 2025-09-07T09:49:27.7735435Z  2025-09-07T09:49:27.7735762Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T09:49:27.7736221Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T09:49:27.7736517Z  --repo "${REPO}" \ 2025-09-07T09:49:27.7736772Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T09:49:27.7737055Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T09:49:27.7737336Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T09:49:27.7737641Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T09:49:27.7737917Z  --job-id "${JOB_ID}" \ 2025-09-07T09:49:27.7738166Z  --job-name "${JOB_NAME}" 2025-09-07T09:49:27.7744512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:27.7744832Z env: 2025-09-07T09:49:27.7745006Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:27.7745408Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:27.7745825Z DEVICE_NAME: 2025-09-07T09:49:27.7746007Z DEVICE_TYPE: 2025-09-07T09:49:27.7746195Z SCHEMA_VERSION: v3 2025-09-07T09:49:27.7746418Z REPO: pytorch/pytorch 2025-09-07T09:49:27.7746635Z HEAD_BRANCH: refs/heads/main 2025-09-07T09:49:27.7746908Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:27.7747198Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T09:49:27.7747419Z RUN_ATTEMPT: 1 2025-09-07T09:49:27.7747601Z JOB_ID: 49775354766 2025-09-07T09:49:27.7748069Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T09:49:27.7748580Z ##[endgroup] 2025-09-07T09:49:27.7771751Z + [[ -n '' ]] 2025-09-07T09:49:27.7773722Z + 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 49775354766 --job-name 'linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal)' 2025-09-07T09:49:27.8068740Z ##[group]Run set -eux 2025-09-07T09:49:27.8068957Z set -eux 2025-09-07T09:49:27.8069136Z  2025-09-07T09:49:27.8069311Z if [[ -n "" ]]; then 2025-09-07T09:49:27.8069535Z  source "" 2025-09-07T09:49:27.8069726Z fi 2025-09-07T09:49:27.8069888Z  2025-09-07T09:49:27.8070219Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T09:49:27.8076126Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:27.8076439Z env: 2025-09-07T09:49:27.8076610Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:27.8077015Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:27.8077434Z DEVICE_NAME: 2025-09-07T09:49:27.8077618Z DEVICE_TYPE: 2025-09-07T09:49:27.8077796Z ##[endgroup] 2025-09-07T09:49:27.8098904Z + [[ -n '' ]] 2025-09-07T09:49:27.8099789Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T09:49:27.8507304Z INFO:root:Fail to import torch to get the device name 2025-09-07T09:49:27.8608460Z ##[group]Run set -eux 2025-09-07T09:49:27.8608680Z set -eux 2025-09-07T09:49:27.8608864Z  2025-09-07T09:49:27.8609070Z # TODO (huydhn): Implement this part 2025-09-07T09:49:27.8609397Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:27.8615431Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:27.8615747Z env: 2025-09-07T09:49:27.8615920Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:27.8616525Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:27.8616954Z DEVICE_NAME: 2025-09-07T09:49:27.8617140Z DEVICE_TYPE: 2025-09-07T09:49:27.8617320Z ##[endgroup] 2025-09-07T09:49:27.8638150Z + echo 'dependencies={}' 2025-09-07T09:49:27.8669478Z ##[group]Run set -eux 2025-09-07T09:49:27.8669720Z set -eux 2025-09-07T09:49:27.8669895Z  2025-09-07T09:49:27.8670065Z if [[ -n "" ]]; then 2025-09-07T09:49:27.8670285Z  source "" 2025-09-07T09:49:27.8670474Z fi 2025-09-07T09:49:27.8670637Z  2025-09-07T09:49:27.8670857Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T09:49:27.8671234Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T09:49:27.8671654Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T09:49:27.8671978Z  exit 0 2025-09-07T09:49:27.8672157Z fi 2025-09-07T09:49:27.8672320Z  2025-09-07T09:49:27.8672519Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T09:49:27.8672930Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:49:27.8673406Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:49:27.8673780Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:49:27.8674083Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:49:27.8674379Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T09:49:27.8674651Z  --dry-run 2025-09-07T09:49:27.8674850Z else 2025-09-07T09:49:27.8675170Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:49:27.8675638Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:49:27.8675997Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:49:27.8676291Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:49:27.8676585Z  --dependencies "${DEPENDENCIES}" 2025-09-07T09:49:27.8676851Z fi 2025-09-07T09:49:27.8682488Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:27.8682798Z env: 2025-09-07T09:49:27.8682977Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:27.8683497Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:27.8683919Z DEVICE_NAME: 2025-09-07T09:49:27.8684095Z DEVICE_TYPE: 2025-09-07T09:49:27.8684306Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T09:49:27.8684567Z DRY_RUN: false 2025-09-07T09:49:27.8685806Z BENCHMARK_METADATA: {"timestamp": 1757238567, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354766} 2025-09-07T09:49:27.8687404Z RUNNER_INFO: [{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-74-69.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T09:49:27.8687967Z DEPENDENCIES: {} 2025-09-07T09:49:27.8688253Z ##[endgroup] 2025-09-07T09:49:27.8709464Z + [[ -n '' ]] 2025-09-07T09:49:27.8709681Z + [[ ! -d test/test-reports ]] 2025-09-07T09:49:27.8709924Z + [[ false == \t\r\u\e ]] 2025-09-07T09:49:27.8712618Z + 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": 1757238567, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354766}' --runners '[{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-74-69.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T09:49:27.9983086Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T09:49:28.0236292Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T09:49:28.1721786Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T09:49:28.2450311Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T09:49:28.3180664Z INFO:root:Upload test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T09:49:28.3875981Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T09:49:28.4571721Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T09:49:28.5658553Z 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/17525321311/49775354766/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T09:49:28.6572259Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T09:49:28.7348487Z 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/17525321311/49775354766/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T09:49:28.8426231Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T09:49:28.9159951Z 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/17525321311/49775354766/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T09:49:28.9973554Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354766/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T09:49:29.0730771Z 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/17525321311/49775354766/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T09:49:29.1994303Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T09:49:29.1994723Z cat test/**/*_toprint.log || true 2025-09-07T09:49:29.2001290Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:29.2001604Z env: 2025-09-07T09:49:29.2001780Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:29.2002173Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:29.2002591Z DEVICE_NAME: 2025-09-07T09:49:29.2002768Z DEVICE_TYPE: 2025-09-07T09:49:29.2002949Z ##[endgroup] 2025-09-07T09:49:29.2079495Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T09:49:29.2194576Z Prepare all required actions 2025-09-07T09:49:29.2195064Z Getting action download info 2025-09-07T09:49:29.3611346Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:49:29.6331333Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T09:49:29.9984323Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T09:49:29.9984639Z with: 2025-09-07T09:49:29.9985003Z file-suffix: test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T09:49:29.9985438Z s3-bucket: gha-artifacts 2025-09-07T09:49:29.9985649Z env: 2025-09-07T09:49:29.9985823Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:29.9986216Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:29.9986633Z DEVICE_NAME: 2025-09-07T09:49:29.9986813Z DEVICE_TYPE: 2025-09-07T09:49:29.9986991Z ##[endgroup] 2025-09-07T09:49:30.0032634Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T09:49:30.0033048Z # Remove any previous test jsons if they exist 2025-09-07T09:49:30.0033364Z rm -f test-jsons-*.zip 2025-09-07T09:49:30.0033739Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T09:49:30.0040904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:30.0041241Z env: 2025-09-07T09:49:30.0041415Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.0041969Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.0042394Z DEVICE_NAME: 2025-09-07T09:49:30.0042580Z DEVICE_TYPE: 2025-09-07T09:49:30.0042945Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T09:49:30.0043361Z ##[endgroup] 2025-09-07T09:49:30.0197445Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T09:49:30.0204338Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T09:49:30.0211538Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T09:49:30.0218348Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T09:49:30.0225195Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T09:49:30.0235488Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T09:49:30.0257234Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T09:49:30.0267138Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T09:49:30.0289237Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T09:49:30.0299195Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T09:49:30.0321297Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T09:49:30.0331172Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T09:49:30.0345619Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T09:49:30.0376291Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T09:49:30.0376930Z # Remove any previous test reports if they exist 2025-09-07T09:49:30.0377266Z rm -f test-reports-*.zip 2025-09-07T09:49:30.0377674Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T09:49:30.0384156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:30.0384466Z env: 2025-09-07T09:49:30.0384642Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.0385033Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.0385465Z DEVICE_NAME: 2025-09-07T09:49:30.0385644Z DEVICE_TYPE: 2025-09-07T09:49:30.0385999Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T09:49:30.0386410Z ##[endgroup] 2025-09-07T09:49:30.0435341Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T09:49:30.0436195Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 44%) 2025-09-07T09:49:30.0437008Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T09:49:30.0437807Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 45%) 2025-09-07T09:49:30.0438622Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 53%) 2025-09-07T09:49:30.0439470Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T09:49:30.0440587Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 46%) 2025-09-07T09:49:30.0441499Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T09:49:30.0442394Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 47%) 2025-09-07T09:49:30.0443456Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T09:49:30.0444390Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 47%) 2025-09-07T09:49:30.0445425Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance.csv (deflated 45%) 2025-09-07T09:49:30.0446351Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 45%) 2025-09-07T09:49:30.0473815Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T09:49:30.0474204Z # Remove any previous usage logs if they exist 2025-09-07T09:49:30.0474510Z rm -f logs-*.zip 2025-09-07T09:49:30.0474821Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T09:49:30.0475252Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T09:49:30.0480948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:30.0481268Z env: 2025-09-07T09:49:30.0481455Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.0481846Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.0482275Z DEVICE_NAME: 2025-09-07T09:49:30.0482463Z DEVICE_TYPE: 2025-09-07T09:49:30.0482819Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T09:49:30.0483230Z ##[endgroup] 2025-09-07T09:49:30.0522485Z zip warning: name not matched: usage_log.txt 2025-09-07T09:49:30.0522715Z 2025-09-07T09:49:30.0523045Z zip error: Nothing to do! (logs-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip) 2025-09-07T09:49:30.0532617Z zip warning: zip file empty 2025-09-07T09:49:30.0564550Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T09:49:30.0565009Z # Remove any previous debugging artifacts if they exist 2025-09-07T09:49:30.0565350Z rm -f debug-*.zip 2025-09-07T09:49:30.0565587Z if [ -d 'test/debug' ]; then 2025-09-07T09:49:30.0565883Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T09:49:30.0566165Z fi 2025-09-07T09:49:30.0571630Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:30.0571948Z env: 2025-09-07T09:49:30.0572118Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.0572511Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.0572933Z DEVICE_NAME: 2025-09-07T09:49:30.0573113Z DEVICE_TYPE: 2025-09-07T09:49:30.0573464Z FILE_SUFFIX: test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766 2025-09-07T09:49:30.0573880Z ##[endgroup] 2025-09-07T09:49:30.0654549Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:49:30.0654828Z with: 2025-09-07T09:49:30.0655006Z s3-bucket: gha-artifacts 2025-09-07T09:49:30.0655276Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:30.0655564Z retention-days: 14 2025-09-07T09:49:30.0655773Z if-no-files-found: warn 2025-09-07T09:49:30.0656000Z path: test-jsons-*.zip 2025-09-07T09:49:30.0656209Z name: artifact 2025-09-07T09:49:30.0656391Z region: us-east-1 2025-09-07T09:49:30.0656580Z env: 2025-09-07T09:49:30.0656925Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.0657322Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.0657734Z DEVICE_NAME: 2025-09-07T09:49:30.0657913Z DEVICE_TYPE: 2025-09-07T09:49:30.0658087Z ##[endgroup] 2025-09-07T09:49:30.3527584Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:49:30.3527971Z With the provided path, there will be 1 file uploaded 2025-09-07T09:49:30.3528379Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:30.3568509Z Starting upload of test-jsons-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:30.4893349Z Finished upload of test-jsons-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:30.5103990Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:49:30.5104263Z with: 2025-09-07T09:49:30.5104615Z s3-bucket: gha-artifacts 2025-09-07T09:49:30.5104885Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:30.5105286Z retention-days: 14 2025-09-07T09:49:30.5105492Z if-no-files-found: error 2025-09-07T09:49:30.5105724Z path: test-reports-*.zip 2025-09-07T09:49:30.5105938Z name: artifact 2025-09-07T09:49:30.5106123Z region: us-east-1 2025-09-07T09:49:30.5106302Z env: 2025-09-07T09:49:30.5106469Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.5106876Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.5107294Z DEVICE_NAME: 2025-09-07T09:49:30.5107473Z DEVICE_TYPE: 2025-09-07T09:49:30.5107649Z ##[endgroup] 2025-09-07T09:49:30.7717790Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:49:30.7718179Z With the provided path, there will be 1 file uploaded 2025-09-07T09:49:30.7718563Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:30.7758491Z Starting upload of test-reports-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:30.9085717Z Finished upload of test-reports-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:30.9299069Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:49:30.9299342Z with: 2025-09-07T09:49:30.9299530Z s3-bucket: gha-artifacts 2025-09-07T09:49:30.9299803Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:30.9300096Z retention-days: 14 2025-09-07T09:49:30.9300540Z if-no-files-found: ignore 2025-09-07T09:49:30.9300795Z path: logs-*.zip 2025-09-07T09:49:30.9300984Z name: artifact 2025-09-07T09:49:30.9301167Z region: us-east-1 2025-09-07T09:49:30.9301342Z env: 2025-09-07T09:49:30.9301517Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:30.9301910Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:30.9302326Z DEVICE_NAME: 2025-09-07T09:49:30.9302503Z DEVICE_TYPE: 2025-09-07T09:49:30.9302687Z ##[endgroup] 2025-09-07T09:49:31.1914247Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:49:31.1914644Z With the provided path, there will be 1 file uploaded 2025-09-07T09:49:31.1915035Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:31.1954746Z Starting upload of logs-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:31.3368433Z Finished upload of logs-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:31.3578388Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:49:31.3578671Z with: 2025-09-07T09:49:31.3578851Z s3-bucket: gha-artifacts 2025-09-07T09:49:31.3579119Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T09:49:31.3579410Z retention-days: 14 2025-09-07T09:49:31.3579615Z if-no-files-found: ignore 2025-09-07T09:49:31.3579834Z path: debug-*.zip 2025-09-07T09:49:31.3580027Z name: artifact 2025-09-07T09:49:31.3580221Z region: us-east-1 2025-09-07T09:49:31.3580397Z env: 2025-09-07T09:49:31.3580766Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:31.3581159Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:31.3581574Z DEVICE_NAME: 2025-09-07T09:49:31.3581749Z DEVICE_TYPE: 2025-09-07T09:49:31.3581922Z ##[endgroup] 2025-09-07T09:49:31.6134310Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T09:49:31.6345478Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T09:49:31.6345851Z # shellcheck disable=SC2156 2025-09-07T09:49:31.6346352Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T09:49:31.6353198Z shell: /usr/bin/bash -e {0} 2025-09-07T09:49:31.6353425Z env: 2025-09-07T09:49:31.6353598Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:31.6353988Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:31.6354541Z DEVICE_NAME: 2025-09-07T09:49:31.6354733Z DEVICE_TYPE: 2025-09-07T09:49:31.6354906Z ##[endgroup] 2025-09-07T09:49:31.8802939Z Prepare all required actions 2025-09-07T09:49:31.8803374Z Getting action download info 2025-09-07T09:49:31.9974319Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T09:49:31.9974617Z with: 2025-09-07T09:49:31.9974784Z job_id: 49775354766 2025-09-07T09:49:31.9975252Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T09:49:31.9975813Z workflow_name: inductor-perf-nightly-aarch64 2025-09-07T09:49:31.9976097Z workflow_run_id: 17525321311 2025-09-07T09:49:31.9976321Z workflow_attempt: 1 2025-09-07T09:49:31.9976512Z env: 2025-09-07T09:49:31.9976682Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:31.9977067Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:31.9977484Z DEVICE_NAME: 2025-09-07T09:49:31.9977677Z DEVICE_TYPE: 2025-09-07T09:49:31.9977865Z ##[endgroup] 2025-09-07T09:49:31.9992447Z ##[group]Run echo "workflow_id: 17525321311" 2025-09-07T09:49:31.9992747Z echo "workflow_id: 17525321311" 2025-09-07T09:49:31.9993017Z echo "workflow_attempt: 1" 2025-09-07T09:49:31.9993355Z echo "workflow_Name: inductor-perf-nightly-aarch64" 2025-09-07T09:49:31.9993697Z echo "job_id: 49775354766" 2025-09-07T09:49:31.9994245Z echo "job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal)" 2025-09-07T09:49:31.9994812Z echo "artifact_prefix: " 2025-09-07T09:49:31.9995067Z python3 --version 2025-09-07T09:49:32.0001212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:32.0001531Z env: 2025-09-07T09:49:32.0001699Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:32.0002092Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:32.0002519Z DEVICE_NAME: 2025-09-07T09:49:32.0002705Z DEVICE_TYPE: 2025-09-07T09:49:32.0002880Z ##[endgroup] 2025-09-07T09:49:32.0024690Z workflow_id: 17525321311 2025-09-07T09:49:32.0024923Z workflow_attempt: 1 2025-09-07T09:49:32.0025166Z workflow_Name: inductor-perf-nightly-aarch64 2025-09-07T09:49:32.0025443Z job_id: 49775354766 2025-09-07T09:49:32.0025917Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal) 2025-09-07T09:49:32.0026438Z artifact_prefix: 2025-09-07T09:49:32.0035953Z Python 3.9.23 2025-09-07T09:49:32.0069516Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:49:32.0069768Z with: 2025-09-07T09:49:32.0069928Z shell: bash 2025-09-07T09:49:32.0070107Z timeout_minutes: 5 2025-09-07T09:49:32.0070302Z max_attempts: 5 2025-09-07T09:49:32.0070496Z retry_wait_seconds: 30 2025-09-07T09:49:32.0070958Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T09:49:32.0071474Z polling_interval_seconds: 1 2025-09-07T09:49:32.0071866Z warning_on_retry: true 2025-09-07T09:49:32.0072089Z continue_on_error: false 2025-09-07T09:49:32.0072297Z env: 2025-09-07T09:49:32.0072462Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:32.0072856Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:32.0073274Z DEVICE_NAME: 2025-09-07T09:49:32.0073457Z DEVICE_TYPE: 2025-09-07T09:49:32.0073633Z ##[endgroup] 2025-09-07T09:49:32.3140770Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:49:32.3785387Z Collecting python-dateutil==2.8.2 2025-09-07T09:49:32.3919145Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T09:49:33.2332297Z Collecting boto3==1.35.42 2025-09-07T09:49:33.2365844Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T09:49:33.6619926Z Collecting pandas==2.1.3 2025-09-07T09:49:33.6660077Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.9 MB) 2025-09-07T09:49:33.8371005Z Collecting dataclasses_json==0.6.7 2025-09-07T09:49:33.8390777Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T09:49:33.8415945Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T09:49:33.8458361Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T09:49:33.8462317Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T09:49:33.8471783Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-09-07T09:49:33.9054760Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T09:49:34.5956801Z Collecting numpy<2,>=1.22.4 2025-09-07T09:49:34.5992619Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.2 MB) 2025-09-07T09:49:34.7338220Z Collecting tzdata>=2022.1 2025-09-07T09:49:34.7371088Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T09:49:34.8341546Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T09:49:34.8361105Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T09:49:34.8519290Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T09:49:34.8538599Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T09:49:34.8600745Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-09-07T09:49:34.9052394Z Collecting packaging>=17.0 2025-09-07T09:49:34.9072161Z Using cached packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T09:49:34.9307847Z Collecting mypy-extensions>=0.3.0 2025-09-07T09:49:34.9327420Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T09:49:34.9701341Z Collecting typing-extensions>=3.7.4 2025-09-07T09:49:34.9721060Z Using cached typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T09:49:35.1674826Z Installing collected packages: python-dateutil, typing-extensions, packaging, mypy-extensions, tzdata, typing-inspect, numpy, marshmallow, pandas, dataclasses-json, boto3 2025-09-07T09:49:40.1952011Z Attempting uninstall: boto3 2025-09-07T09:49:40.1953240Z Found existing installation: boto3 1.35.33 2025-09-07T09:49:40.2043537Z Uninstalling boto3-1.35.33: 2025-09-07T09:49:40.2056562Z Successfully uninstalled boto3-1.35.33 2025-09-07T09:49:40.2585136Z 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 2025-09-07T09:49:41.0830472Z Command completed after 1 attempt(s). 2025-09-07T09:49:41.0880583Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:49:41.0881350Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:49:41.0881787Z  --workflow-run-id "17525321311" \ 2025-09-07T09:49:41.0882134Z  --workflow-name "inductor-perf-nightly-aarch64" \ 2025-09-07T09:49:41.0882481Z  --workflow-run-attempt "1" \ 2025-09-07T09:49:41.0882746Z  --job-id "49775354766" \ 2025-09-07T09:49:41.0883292Z  --job-name "linux-jammy-aarch64-py3.10-inductor / test (inductor_timm_perf_cpu_aarch64, 8, 15, linux.arm64.m7g.metal)" \ 2025-09-07T09:49:41.0883850Z  --local-path "" \ 2025-09-07T09:49:41.0884090Z  --artifact-prefix "" 2025-09-07T09:49:41.0891302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:41.0891624Z env: 2025-09-07T09:49:41.0891798Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:41.0892328Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:41.0892932Z DEVICE_NAME: 2025-09-07T09:49:41.0893128Z DEVICE_TYPE: 2025-09-07T09:49:41.0893308Z ##[endgroup] 2025-09-07T09:49:41.6676382Z repo: pytorch/pytorch 2025-09-07T09:49:41.6676680Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T09:49:41.6677195Z Downloading logs-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:41.6677958Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf_cpu_aarch64-8-15-linux.arm64.m7g.metal_49775354766.zip 2025-09-07T09:49:41.6678782Z ::warning trying to download test log failed by: "There is no item named 'usage_log.txt' in the archive" 2025-09-07T09:49:41.6679345Z [Log Model] Failed to process test log, metadata is None 2025-09-07T09:49:41.7505661Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T09:49:41.7506104Z with: 2025-09-07T09:49:41.7506278Z env: 2025-09-07T09:49:41.7506445Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:41.7506858Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:41.7507276Z DEVICE_NAME: 2025-09-07T09:49:41.7507461Z DEVICE_TYPE: 2025-09-07T09:49:41.7507636Z ##[endgroup] 2025-09-07T09:49:41.7523695Z ##[group]Run set -eou pipefail 2025-09-07T09:49:41.7523963Z set -eou pipefail 2025-09-07T09:49:41.7524180Z  2025-09-07T09:49:41.7524483Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T09:49:41.7524868Z for _ in $(seq 1440); do 2025-09-07T09:49:41.7525148Z  # Break if no ssh session exists anymore 2025-09-07T09:49:41.7525437Z  if [ "$(who)" = "" ]; then 2025-09-07T09:49:41.7525679Z  break 2025-09-07T09:49:41.7525889Z  fi 2025-09-07T09:49:41.7526075Z  echo "." 2025-09-07T09:49:41.7526269Z  sleep 5 2025-09-07T09:49:41.7526464Z done 2025-09-07T09:49:41.7532981Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:41.7533311Z env: 2025-09-07T09:49:41.7533490Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:41.7533881Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:41.7534298Z DEVICE_NAME: 2025-09-07T09:49:41.7534476Z DEVICE_TYPE: 2025-09-07T09:49:41.7534649Z ##[endgroup] 2025-09-07T09:49:41.7571673Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T09:49:41.7665010Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:49:41.7665562Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:49:41.7665922Z # shellcheck disable=SC2046 2025-09-07T09:49:41.7666219Z docker stop $(docker ps -q) || true 2025-09-07T09:49:41.7666512Z # Prune all of the docker images 2025-09-07T09:49:41.7666781Z docker system prune -af 2025-09-07T09:49:41.7672534Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:41.7672959Z env: 2025-09-07T09:49:41.7673136Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:41.7673525Z DOCKER_CONTAINER_ID: ef01a647604583bec6bc1ff5e847c39406196b64cacf71818a4bfe57af188ffe 2025-09-07T09:49:41.7673940Z DEVICE_NAME: 2025-09-07T09:49:41.7674126Z DEVICE_TYPE: 2025-09-07T09:49:41.7674304Z ##[endgroup] 2025-09-07T09:49:52.8650536Z ef01a6476045 2025-09-07T09:49:53.3224370Z Deleted Containers: 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2025-09-07T09:50:00.1476477Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:50:00.1514984Z [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' || :" 2025-09-07T09:50:00.1806663Z Entering 'android/libs/fbjni' 2025-09-07T09:50:00.1861220Z Entering 'third_party/FP16' 2025-09-07T09:50:00.1917021Z Entering 'third_party/FXdiv' 2025-09-07T09:50:00.1971382Z Entering 'third_party/NNPACK' 2025-09-07T09:50:00.2027048Z Entering 'third_party/NVTX' 2025-09-07T09:50:00.2082784Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:50:00.2139194Z Entering 'third_party/XNNPACK' 2025-09-07T09:50:00.2204599Z Entering 'third_party/aiter' 2025-09-07T09:50:00.2258621Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:50:00.2319716Z Entering 'third_party/benchmark' 2025-09-07T09:50:00.2373525Z Entering 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2025-09-07T09:50:00.5091468Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:50:00.5145310Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:50:00.5199720Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:50:00.5267682Z Entering 'third_party/pocketfft' 2025-09-07T09:50:00.5320502Z Entering 'third_party/protobuf' 2025-09-07T09:50:00.5376397Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:50:00.5427803Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:50:00.5481928Z Entering 'third_party/psimd' 2025-09-07T09:50:00.5534803Z Entering 'third_party/pthreadpool' 2025-09-07T09:50:00.5588885Z Entering 'third_party/pybind11' 2025-09-07T09:50:00.5644294Z Entering 'third_party/python-peachpy' 2025-09-07T09:50:00.5698919Z Entering 'third_party/sleef' 2025-09-07T09:50:00.5752207Z Entering 'third_party/tensorpipe' 2025-09-07T09:50:00.5805206Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:50:00.5856274Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:50:00.5908831Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:50:00.5958988Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:50:00.6008481Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:50:00.6083514Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:50:00.6103340Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6113392Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T09:50:00.6143081Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T09:50:00.6419085Z Entering 'android/libs/fbjni' 2025-09-07T09:50:00.6454903Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6488322Z Entering 'third_party/FP16' 2025-09-07T09:50:00.6524672Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6559125Z Entering 'third_party/FXdiv' 2025-09-07T09:50:00.6594468Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6627425Z Entering 'third_party/NNPACK' 2025-09-07T09:50:00.6665010Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6696342Z Entering 'third_party/NVTX' 2025-09-07T09:50:00.6733077Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6766463Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:50:00.6802497Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6835604Z Entering 'third_party/XNNPACK' 2025-09-07T09:50:00.6871561Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6915290Z Entering 'third_party/aiter' 2025-09-07T09:50:00.6950927Z http.https://github.com/.extraheader 2025-09-07T09:50:00.6984976Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:50:00.7019055Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7059225Z Entering 'third_party/benchmark' 2025-09-07T09:50:00.7094823Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7128429Z Entering 'third_party/composable_kernel' 2025-09-07T09:50:00.7163577Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7201899Z Entering 'third_party/cpp-httplib' 2025-09-07T09:50:00.7237354Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7270181Z Entering 'third_party/cpuinfo' 2025-09-07T09:50:00.7306473Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7339753Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:50:00.7375153Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7408750Z Entering 'third_party/cutlass' 2025-09-07T09:50:00.7444016Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7484054Z Entering 'third_party/fbgemm' 2025-09-07T09:50:00.7520491Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7555392Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:50:00.7589121Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7622341Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:50:00.7657300Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7695291Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:50:00.7729681Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7762446Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:50:00.7797057Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7836687Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:50:00.7870732Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7903451Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:50:00.7937888Z http.https://github.com/.extraheader 2025-09-07T09:50:00.7969626Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:50:00.8004089Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8040577Z Entering 'third_party/flash-attention' 2025-09-07T09:50:00.8076260Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8109812Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:50:00.8143512Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8180925Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:50:00.8216157Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8256864Z Entering 'third_party/flatbuffers' 2025-09-07T09:50:00.8292141Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8327059Z Entering 'third_party/fmt' 2025-09-07T09:50:00.8362263Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8394704Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:50:00.8430780Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8464151Z Entering 'third_party/gloo' 2025-09-07T09:50:00.8499248Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8532237Z Entering 'third_party/googletest' 2025-09-07T09:50:00.8567389Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8600594Z Entering 'third_party/ideep' 2025-09-07T09:50:00.8635499Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8667610Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:50:00.8702636Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8742569Z Entering 'third_party/ittapi' 2025-09-07T09:50:00.8778040Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8812135Z Entering 'third_party/kineto' 2025-09-07T09:50:00.8846587Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8879879Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:50:00.8914957Z http.https://github.com/.extraheader 2025-09-07T09:50:00.8947777Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:50:00.8981942Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9015971Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:50:00.9051273Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9085309Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:50:00.9120053Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9153299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:50:00.9188703Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9221011Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:50:00.9256136Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9292276Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:50:00.9327430Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9360391Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:50:00.9394937Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9427930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:50:00.9461682Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9494444Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:50:00.9528922Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9564033Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:50:00.9598441Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9630460Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:50:00.9664643Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9699229Z Entering 'third_party/kleidiai' 2025-09-07T09:50:00.9734529Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9767479Z Entering 'third_party/mimalloc' 2025-09-07T09:50:00.9803117Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9837720Z Entering 'third_party/nlohmann' 2025-09-07T09:50:00.9873795Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9908343Z Entering 'third_party/onnx' 2025-09-07T09:50:00.9944157Z http.https://github.com/.extraheader 2025-09-07T09:50:00.9989334Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:50:01.0024769Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0060114Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:50:01.0095756Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0130179Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:50:01.0164698Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0197016Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:50:01.0231916Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0264083Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:50:01.0298509Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0331316Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:50:01.0365955Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0398779Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:50:01.0433393Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0465369Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:50:01.0499753Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0532319Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:50:01.0566352Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0598148Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:50:01.0632971Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0667284Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:50:01.0701490Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0735626Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:50:01.0770174Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0816957Z Entering 'third_party/pocketfft' 2025-09-07T09:50:01.0852357Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0885251Z Entering 'third_party/protobuf' 2025-09-07T09:50:01.0920724Z http.https://github.com/.extraheader 2025-09-07T09:50:01.0955278Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:50:01.0988948Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1021585Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:50:01.1055747Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1090174Z Entering 'third_party/psimd' 2025-09-07T09:50:01.1125685Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1158194Z Entering 'third_party/pthreadpool' 2025-09-07T09:50:01.1193448Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1227159Z Entering 'third_party/pybind11' 2025-09-07T09:50:01.1262859Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1297142Z Entering 'third_party/python-peachpy' 2025-09-07T09:50:01.1332508Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1365349Z Entering 'third_party/sleef' 2025-09-07T09:50:01.1401138Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1434459Z Entering 'third_party/tensorpipe' 2025-09-07T09:50:01.1469839Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1502458Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:50:01.1537311Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1569460Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:50:01.1604215Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1637636Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:50:01.1671506Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1704078Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:50:01.1738479Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1770260Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:50:01.1805868Z http.https://github.com/.extraheader 2025-09-07T09:50:01.1935890Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T09:50:01.1952050Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T09:50:01.1957684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:50:01.1958012Z ##[endgroup] 2025-09-07T09:50:01.2043367Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T09:50:11.0910070Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T09:50:27.6795072Z Cleaning up orphan processes