2025-08-26T20:07:14.3882729Z Current runner version: '2.328.0' 2025-08-26T20:07:14.3888662Z Runner name: 'i-073caa4447498af62' 2025-08-26T20:07:14.3889379Z Runner group name: 'default' 2025-08-26T20:07:14.3890319Z Machine name: 'ip-10-0-50-60' 2025-08-26T20:07:14.3892735Z ##[group]GITHUB_TOKEN Permissions 2025-08-26T20:07:14.3895198Z Contents: read 2025-08-26T20:07:14.3895693Z Metadata: read 2025-08-26T20:07:14.3896158Z ##[endgroup] 2025-08-26T20:07:14.3898733Z Secret source: Actions 2025-08-26T20:07:14.3899482Z Prepare workflow directory 2025-08-26T20:07:14.4353891Z Prepare all required actions 2025-08-26T20:07:14.4391389Z Getting action download info 2025-08-26T20:07:14.7408422Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0) 2025-08-26T20:07:16.5455424Z Download action repository 'pytorch/pytorch@main' (SHA:9f6e1b8730d6a7a7d012be90ae08674294aa4933) 2025-08-26T20:07:31.3219473Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-26T20:07:31.7038628Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-26T20:07:31.9203637Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-26T20:07:32.0758628Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T20:07:32.3450603Z Getting action download info 2025-08-26T20:07:32.4489735Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-26T20:07:32.7335450Z Getting action download info 2025-08-26T20:07:32.8665323Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-26T20:07:33.0990464Z Getting action download info 2025-08-26T20:07:33.2015196Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-26T20:07:33.3907664Z Getting action download info 2025-08-26T20:07:33.5358581Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d) 2025-08-26T20:07:33.5362071Z ##[group] Inputs 2025-08-26T20:07:33.5362397Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-26T20:07:33.5364320Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-26T20:07:33.5366525Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:33.5367343Z sync-tag: 2025-08-26T20:07:33.5368145Z timeout-minutes: 240 2025-08-26T20:07:33.5368348Z use-gha: 2025-08-26T20:07:33.5368548Z dashboard-tag: 2025-08-26T20:07:33.5368753Z s3-bucket: gha-artifacts 2025-08-26T20:07:33.5368980Z aws-role-to-assume: 2025-08-26T20:07:33.5369398Z disable-monitor: false 2025-08-26T20:07:33.5369643Z monitor-log-interval: 5 2025-08-26T20:07:33.5370281Z monitor-data-collect-interval: 1 2025-08-26T20:07:33.5370735Z ##[endgroup] 2025-08-26T20:07:33.5371336Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:07:33.5902132Z A job started hook has been configured by the self-hosted runner administrator 2025-08-26T20:07:33.5993293Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-26T20:07:33.6002336Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:33.6002996Z ##[endgroup] 2025-08-26T20:07:34.8028932Z Runner Type: linux.8xlarge.amx 2025-08-26T20:07:34.8029524Z Instance Type: m7i-flex.8xlarge 2025-08-26T20:07:34.8029798Z AMI Name: unknown 2025-08-26T20:07:34.8071904Z AMI ID: ami-05ffe3c48a9991133 2025-08-26T20:07:39.8257904Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-26T20:07:39.8258454Z with: 2025-08-26T20:07:39.8259143Z github-secret: *** 2025-08-26T20:07:39.8259717Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-26T20:07:39.8260412Z activate-with-label: false 2025-08-26T20:07:39.8260725Z label: with-ssh 2025-08-26T20:07:39.8261021Z remove-existing-keys: true 2025-08-26T20:07:39.8261293Z fail-silently: true 2025-08-26T20:07:39.8261573Z env: 2025-08-26T20:07:39.8261841Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:39.8262156Z ##[endgroup] 2025-08-26T20:07:39.9551216Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-26T20:07:39.9552050Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-26T20:07:39.9803073Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-26T20:07:39.9803416Z with: 2025-08-26T20:07:39.9803608Z no-sudo: true 2025-08-26T20:07:39.9803798Z submodules: recursive 2025-08-26T20:07:39.9804012Z fetch-depth: 0 2025-08-26T20:07:39.9804200Z env: 2025-08-26T20:07:39.9804389Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:39.9804604Z ##[endgroup] 2025-08-26T20:07:39.9885848Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:07:39.9886541Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:07:39.9894725Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:39.9895012Z env: 2025-08-26T20:07:39.9895232Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:39.9895473Z ##[endgroup] 2025-08-26T20:07:39.9988058Z ##[group]Run # Use all available CPUs for fetching 2025-08-26T20:07:39.9988437Z # Use all available CPUs for fetching 2025-08-26T20:07:39.9988700Z cd "${GITHUB_WORKSPACE}" 2025-08-26T20:07:39.9988956Z git config --global fetch.parallel 0 2025-08-26T20:07:39.9989244Z git config --global submodule.fetchJobs 0 2025-08-26T20:07:39.9989497Z  2025-08-26T20:07:39.9989889Z # Clean workspace. The default checkout action should also do this, but 2025-08-26T20:07:39.9990253Z # do it here as well just in case 2025-08-26T20:07:39.9990493Z if [[ -d .git ]]; then 2025-08-26T20:07:39.9990725Z  if [ -z "${NO_SUDO}" ]; then 2025-08-26T20:07:39.9990967Z  sudo git clean -ffdx 2025-08-26T20:07:39.9991185Z  else 2025-08-26T20:07:39.9991373Z  git clean -ffdx 2025-08-26T20:07:39.9991580Z  fi 2025-08-26T20:07:39.9991754Z fi 2025-08-26T20:07:39.9996809Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:39.9997092Z env: 2025-08-26T20:07:39.9997292Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:39.9997500Z NO_SUDO: true 2025-08-26T20:07:39.9997691Z ##[endgroup] 2025-08-26T20:07:40.0121128Z ##[group]Run actions/checkout@v4 2025-08-26T20:07:40.0121416Z with: 2025-08-26T20:07:40.0121629Z ref: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:07:40.0122084Z fetch-depth: 0 2025-08-26T20:07:40.0122289Z submodules: recursive 2025-08-26T20:07:40.0122506Z show-progress: false 2025-08-26T20:07:40.0122726Z repository: pytorch/pytorch 2025-08-26T20:07:40.0123045Z token: *** 2025-08-26T20:07:40.0123233Z ssh-strict: true 2025-08-26T20:07:40.0123424Z ssh-user: git 2025-08-26T20:07:40.0123623Z persist-credentials: true 2025-08-26T20:07:40.0123836Z clean: true 2025-08-26T20:07:40.0124042Z sparse-checkout-cone-mode: true 2025-08-26T20:07:40.0124273Z fetch-tags: false 2025-08-26T20:07:40.0124457Z lfs: false 2025-08-26T20:07:40.0124637Z set-safe-directory: true 2025-08-26T20:07:40.0124864Z env: 2025-08-26T20:07:40.0125049Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:40.0125255Z ##[endgroup] 2025-08-26T20:07:40.1133131Z Syncing repository: pytorch/pytorch 2025-08-26T20:07:40.1134480Z ##[group]Getting Git version info 2025-08-26T20:07:40.1134841Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-26T20:07:40.1135366Z [command]/usr/bin/git version 2025-08-26T20:07:40.1329643Z git version 2.47.1 2025-08-26T20:07:40.1357093Z ##[endgroup] 2025-08-26T20:07:40.1369303Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/bb8ca863-15b4-4fbd-a58b-28092975d114/.gitconfig' 2025-08-26T20:07:40.1407678Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bb8ca863-15b4-4fbd-a58b-28092975d114' before making global git config changes 2025-08-26T20:07:40.1408448Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T20:07:40.1413894Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T20:07:40.1471140Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-26T20:07:40.1475823Z ##[group]Initializing the repository 2025-08-26T20:07:40.1480937Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T20:07:40.1534564Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-26T20:07:40.1535185Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-26T20:07:40.1535606Z hint: of your new repositories, which will suppress this warning, call: 2025-08-26T20:07:40.1535935Z hint: 2025-08-26T20:07:40.1536354Z hint: git config --global init.defaultBranch 2025-08-26T20:07:40.1536628Z hint: 2025-08-26T20:07:40.1536883Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-26T20:07:40.1537321Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-26T20:07:40.1537630Z hint: 2025-08-26T20:07:40.1537841Z hint: git branch -m 2025-08-26T20:07:40.1555524Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-26T20:07:40.1565859Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-26T20:07:40.1605401Z ##[endgroup] 2025-08-26T20:07:40.1609955Z ##[group]Disabling automatic garbage collection 2025-08-26T20:07:40.1610333Z [command]/usr/bin/git config --local gc.auto 0 2025-08-26T20:07:40.1637524Z ##[endgroup] 2025-08-26T20:07:40.1637923Z ##[group]Setting up auth 2025-08-26T20:07:40.1643385Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T20:07:40.1678631Z [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' || :" 2025-08-26T20:07:40.2037732Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-26T20:07:40.2065861Z [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' || :" 2025-08-26T20:07:40.2391154Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T20:07:40.2456540Z ##[endgroup] 2025-08-26T20:07:40.2456979Z ##[group]Fetching the repository 2025-08-26T20:07:40.2464923Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-26T20:08:27.1761184Z From https://github.com/pytorch/pytorch 2025-08-26T20:08:27.1761604Z * [new branch] 160583 -> origin/160583 2025-08-26T20:08:27.1762376Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-26T20:08:27.1762831Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-26T20:08:27.1763413Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-26T20:08:27.1764064Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-26T20:08:27.1764632Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-08-26T20:08:27.1765226Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-26T20:08:27.1765865Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-26T20:08:27.1766363Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-26T20:08:27.1766776Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-26T20:08:27.1767727Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-26T20:08:27.1768109Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-26T20:08:27.1768509Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-26T20:08:27.1768886Z * [new branch] VLA_exp -> origin/VLA_exp 2025-08-26T20:08:27.1769308Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-26T20:08:27.1769762Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-26T20:08:27.1770141Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-26T20:08:27.1770513Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-08-26T20:08:27.1771379Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-26T20:08:27.1773632Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-26T20:08:27.1775082Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-26T20:08:27.1775430Z * [new branch] addsimde -> origin/addsimde 2025-08-26T20:08:27.1775775Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-26T20:08:27.1776109Z * [new branch] adi/test -> origin/adi/test 2025-08-26T20:08:27.1776435Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-26T20:08:27.1776781Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-26T20:08:27.1777155Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-26T20:08:27.1777884Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-26T20:08:27.1778788Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-26T20:08:27.1780191Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-26T20:08:27.1781707Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-26T20:08:27.1782114Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-26T20:08:27.1785767Z * [new branch] alt-disable -> origin/alt-disable 2025-08-26T20:08:27.1788153Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-26T20:08:27.1788695Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-26T20:08:27.1789168Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-26T20:08:27.1789685Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-26T20:08:27.1790061Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-26T20:08:27.1790506Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-26T20:08:27.1790958Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-26T20:08:27.1791380Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-26T20:08:27.1791772Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-26T20:08:27.1792216Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-08-26T20:08:27.1792772Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-26T20:08:27.1793145Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-26T20:08:27.1794062Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-26T20:08:27.1794525Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-08-26T20:08:27.1794912Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-26T20:08:27.1795264Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-26T20:08:27.1798065Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-26T20:08:27.1798563Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-26T20:08:27.1799002Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 2025-08-26T20:08:27.1799639Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 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2025-08-26T20:08:27.5664420Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-08-26T20:08:27.5664571Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-08-26T20:08:27.5664739Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-08-26T20:08:27.5664902Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-08-26T20:08:27.5665086Z * [new branch] zainr/uv-pip-fix -> origin/zainr/uv-pip-fix 2025-08-26T20:08:27.5668434Z * [new branch] zainr/vs-aarch64 -> origin/zainr/vs-aarch64 2025-08-26T20:08:27.5668676Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-08-26T20:08:27.5668833Z * [new branch] zb2p -> origin/zb2p 2025-08-26T20:08:27.5669009Z * [new branch] zdevito-patch-1 -> origin/zdevito-patch-1 2025-08-26T20:08:27.5672393Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-08-26T20:08:27.5674766Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-08-26T20:08:27.5674985Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-26T20:08:27.5675175Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-26T20:08:27.5675317Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-26T20:08:27.5675457Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-26T20:08:27.5675780Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-26T20:08:27.5677742Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-26T20:08:27.5678280Z * [new tag] ciflow/binaries/153920 -> ciflow/binaries/153920 2025-08-26T20:08:27.5678455Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-26T20:08:27.5678595Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-08-26T20:08:27.5678911Z * [new tag] ciflow/binaries/160853 -> ciflow/binaries/160853 2025-08-26T20:08:27.5679045Z * [new tag] ciflow/binaries/161257 -> ciflow/binaries/161257 2025-08-26T20:08:27.5681521Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-26T20:08:27.5681725Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-26T20:08:27.5681882Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-26T20:08:27.5682058Z * [new tag] ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207 2025-08-26T20:08:27.5682215Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-26T20:08:27.5682371Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-26T20:08:27.5682517Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-26T20:08:27.5683192Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-26T20:08:27.5683582Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-26T20:08:27.5684097Z * [new tag] ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825 2025-08-26T20:08:27.5685193Z * [new tag] ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008 2025-08-26T20:08:27.5685632Z * [new tag] ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090 2025-08-26T20:08:27.5689109Z * [new tag] ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214 2025-08-26T20:08:27.5689731Z * [new tag] ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217 2025-08-26T20:08:27.5689920Z * [new tag] ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232 2025-08-26T20:08:27.5690071Z * [new tag] ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257 2025-08-26T20:08:27.5690245Z * [new tag] ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309 2025-08-26T20:08:27.5690386Z * [new tag] ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470 2025-08-26T20:08:27.5690540Z * [new tag] ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471 2025-08-26T20:08:27.5690680Z * [new tag] ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532 2025-08-26T20:08:27.5690820Z * [new tag] ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533 2025-08-26T20:08:27.5690982Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-26T20:08:27.5691155Z * [new tag] ciflow/h100/161225 -> ciflow/h100/161225 2025-08-26T20:08:27.5692576Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-26T20:08:27.5692885Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512 2025-08-26T20:08:27.5693090Z * [new tag] ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137 2025-08-26T20:08:27.5693504Z * [new tag] ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807 2025-08-26T20:08:27.5693921Z * [new tag] ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461 2025-08-26T20:08:27.5694542Z * [new tag] ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536 2025-08-26T20:08:27.5695491Z * [new tag] ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 2025-08-26T20:08:27.5696393Z * [new tag] ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed 2025-08-26T20:08:27.5697124Z * [new tag] ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 2025-08-26T20:08:27.5697431Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-26T20:08:27.5697597Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-26T20:08:27.5701371Z * [new tag] ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671 2025-08-26T20:08:27.5701604Z * [new tag] ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180 2025-08-26T20:08:27.5701868Z * [new tag] ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225 2025-08-26T20:08:27.5702035Z * [new tag] ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521 2025-08-26T20:08:27.5702315Z * [new tag] ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406 2025-08-26T20:08:27.5702502Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-26T20:08:27.5702749Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-26T20:08:27.5702904Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-26T20:08:27.5703128Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-26T20:08:27.5703334Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-26T20:08:27.5703697Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-26T20:08:27.5703947Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-26T20:08:27.5704093Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-26T20:08:27.5706833Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-26T20:08:27.5707577Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-26T20:08:27.5707772Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-26T20:08:27.5707923Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-26T20:08:27.5708080Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-26T20:08:27.5708252Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-26T20:08:27.5709574Z * [new tag] ciflow/inductor/156875 -> ciflow/inductor/156875 2025-08-26T20:08:27.5709732Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-26T20:08:27.5709865Z * [new tag] ciflow/inductor/157298 -> ciflow/inductor/157298 2025-08-26T20:08:27.5710115Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-26T20:08:27.5710507Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-26T20:08:27.5712952Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-26T20:08:27.5713120Z * [new tag] ciflow/inductor/157767 -> ciflow/inductor/157767 2025-08-26T20:08:27.5713275Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-26T20:08:27.5713416Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-26T20:08:27.5713553Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-26T20:08:27.5713716Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-26T20:08:27.5713856Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-26T20:08:27.5714023Z * [new tag] ciflow/inductor/158137 -> ciflow/inductor/158137 2025-08-26T20:08:27.5714587Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-26T20:08:27.5715007Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-26T20:08:27.5717263Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-26T20:08:27.5717442Z * [new tag] ciflow/inductor/159003 -> ciflow/inductor/159003 2025-08-26T20:08:27.5717627Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-26T20:08:27.5717768Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-26T20:08:27.5717937Z * [new tag] ciflow/inductor/159387 -> ciflow/inductor/159387 2025-08-26T20:08:27.5718485Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-26T20:08:27.5718825Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-08-26T20:08:27.5719711Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-26T20:08:27.5720325Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-26T20:08:27.5720523Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-08-26T20:08:27.5720911Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-26T20:08:27.5722875Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-26T20:08:27.5723040Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-26T20:08:27.5723325Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-26T20:08:27.5723473Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-26T20:08:27.5723755Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-26T20:08:27.5724425Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-26T20:08:27.5725376Z * [new tag] ciflow/inductor/160180 -> ciflow/inductor/160180 2025-08-26T20:08:27.5726350Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-26T20:08:27.5726929Z * [new tag] ciflow/inductor/160258 -> ciflow/inductor/160258 2025-08-26T20:08:27.5727371Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-26T20:08:27.5727521Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-26T20:08:27.5727711Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-26T20:08:27.5728249Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-26T20:08:27.5729188Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-26T20:08:27.5730670Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-26T20:08:27.5730831Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-26T20:08:27.5731039Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-26T20:08:27.5732157Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-26T20:08:27.5734412Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-26T20:08:27.5734598Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-26T20:08:27.5735286Z * [new tag] ciflow/inductor/160449 -> ciflow/inductor/160449 2025-08-26T20:08:27.5735465Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-26T20:08:27.5735616Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-26T20:08:27.5735756Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-26T20:08:27.5736169Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-26T20:08:27.5736306Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-08-26T20:08:27.5736481Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-26T20:08:27.5737096Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-26T20:08:27.5738372Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-26T20:08:27.5738629Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-26T20:08:27.5738784Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-26T20:08:27.5739320Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-26T20:08:27.5742097Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-26T20:08:27.5742294Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-26T20:08:27.5742759Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-08-26T20:08:27.5742934Z * [new tag] ciflow/inductor/160763 -> ciflow/inductor/160763 2025-08-26T20:08:27.5743071Z * [new tag] ciflow/inductor/160772 -> ciflow/inductor/160772 2025-08-26T20:08:27.5743208Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-08-26T20:08:27.5743578Z * [new tag] ciflow/inductor/160807 -> ciflow/inductor/160807 2025-08-26T20:08:27.5744205Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-08-26T20:08:27.5744348Z * [new tag] ciflow/inductor/160861 -> ciflow/inductor/160861 2025-08-26T20:08:27.5744481Z * [new tag] ciflow/inductor/160883 -> ciflow/inductor/160883 2025-08-26T20:08:27.5746487Z * [new tag] ciflow/inductor/160888 -> ciflow/inductor/160888 2025-08-26T20:08:27.5746666Z * [new tag] ciflow/inductor/160903 -> ciflow/inductor/160903 2025-08-26T20:08:27.5746810Z * [new tag] ciflow/inductor/160913 -> ciflow/inductor/160913 2025-08-26T20:08:27.5746945Z * [new tag] ciflow/inductor/160941 -> ciflow/inductor/160941 2025-08-26T20:08:27.5747085Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-08-26T20:08:27.5747219Z * [new tag] ciflow/inductor/160991 -> ciflow/inductor/160991 2025-08-26T20:08:27.5747682Z * [new tag] ciflow/inductor/160997 -> ciflow/inductor/160997 2025-08-26T20:08:27.5747970Z * [new tag] ciflow/inductor/161003 -> ciflow/inductor/161003 2025-08-26T20:08:27.5748699Z * [new tag] ciflow/inductor/161026 -> ciflow/inductor/161026 2025-08-26T20:08:27.5749252Z * [new tag] ciflow/inductor/161032 -> ciflow/inductor/161032 2025-08-26T20:08:27.5750157Z * [new tag] ciflow/inductor/161040 -> ciflow/inductor/161040 2025-08-26T20:08:27.5750412Z * [new tag] ciflow/inductor/161055 -> ciflow/inductor/161055 2025-08-26T20:08:27.5751393Z * [new tag] ciflow/inductor/161062 -> ciflow/inductor/161062 2025-08-26T20:08:27.5752116Z * [new tag] ciflow/inductor/161069 -> ciflow/inductor/161069 2025-08-26T20:08:27.5752580Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-08-26T20:08:27.5753155Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-08-26T20:08:27.5753335Z * [new tag] ciflow/inductor/161097 -> ciflow/inductor/161097 2025-08-26T20:08:27.5753479Z * [new tag] ciflow/inductor/161098 -> ciflow/inductor/161098 2025-08-26T20:08:27.5753868Z * [new tag] ciflow/inductor/161100 -> ciflow/inductor/161100 2025-08-26T20:08:27.5754295Z * [new tag] ciflow/inductor/161107 -> ciflow/inductor/161107 2025-08-26T20:08:27.5755786Z * [new tag] ciflow/inductor/161110 -> ciflow/inductor/161110 2025-08-26T20:08:27.5756047Z * [new tag] ciflow/inductor/161117 -> ciflow/inductor/161117 2025-08-26T20:08:27.5756192Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-08-26T20:08:27.5756330Z * [new tag] ciflow/inductor/161123 -> ciflow/inductor/161123 2025-08-26T20:08:27.5756890Z * [new tag] ciflow/inductor/161124 -> ciflow/inductor/161124 2025-08-26T20:08:27.5757245Z * [new tag] ciflow/inductor/161125 -> ciflow/inductor/161125 2025-08-26T20:08:27.5758000Z * [new tag] ciflow/inductor/161126 -> ciflow/inductor/161126 2025-08-26T20:08:27.5758302Z * [new tag] ciflow/inductor/161144 -> ciflow/inductor/161144 2025-08-26T20:08:27.5759299Z * [new tag] ciflow/inductor/161148 -> ciflow/inductor/161148 2025-08-26T20:08:27.5759605Z * [new tag] ciflow/inductor/161158 -> ciflow/inductor/161158 2025-08-26T20:08:27.5760228Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-08-26T20:08:27.5760578Z * [new tag] ciflow/inductor/161190 -> ciflow/inductor/161190 2025-08-26T20:08:27.5761220Z * [new tag] ciflow/inductor/161208 -> ciflow/inductor/161208 2025-08-26T20:08:27.5761731Z * [new tag] ciflow/inductor/161225 -> ciflow/inductor/161225 2025-08-26T20:08:27.5762255Z * [new tag] ciflow/inductor/161229 -> ciflow/inductor/161229 2025-08-26T20:08:27.5763678Z * [new tag] ciflow/inductor/161237 -> ciflow/inductor/161237 2025-08-26T20:08:27.5763946Z * [new tag] ciflow/inductor/161241 -> ciflow/inductor/161241 2025-08-26T20:08:27.5764093Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-08-26T20:08:27.5764365Z * [new tag] ciflow/inductor/161274 -> ciflow/inductor/161274 2025-08-26T20:08:27.5766225Z * [new tag] ciflow/inductor/161278 -> ciflow/inductor/161278 2025-08-26T20:08:27.5766437Z * [new tag] ciflow/inductor/161279 -> ciflow/inductor/161279 2025-08-26T20:08:27.5766581Z * [new tag] ciflow/inductor/161288 -> ciflow/inductor/161288 2025-08-26T20:08:27.5766730Z * [new tag] ciflow/inductor/161314 -> ciflow/inductor/161314 2025-08-26T20:08:27.5767968Z * [new tag] ciflow/inductor/161320 -> ciflow/inductor/161320 2025-08-26T20:08:27.5768114Z * [new tag] ciflow/inductor/161336 -> ciflow/inductor/161336 2025-08-26T20:08:27.5768346Z * [new tag] ciflow/inductor/161337 -> ciflow/inductor/161337 2025-08-26T20:08:27.5768500Z * [new tag] ciflow/inductor/161338 -> ciflow/inductor/161338 2025-08-26T20:08:27.5768649Z * [new tag] ciflow/inductor/161339 -> ciflow/inductor/161339 2025-08-26T20:08:27.5769126Z * [new tag] ciflow/inductor/161340 -> ciflow/inductor/161340 2025-08-26T20:08:27.5770270Z * [new tag] ciflow/inductor/161341 -> ciflow/inductor/161341 2025-08-26T20:08:27.5770446Z * [new tag] ciflow/inductor/161342 -> ciflow/inductor/161342 2025-08-26T20:08:27.5770821Z * [new tag] ciflow/inductor/161343 -> ciflow/inductor/161343 2025-08-26T20:08:27.5774224Z * [new tag] ciflow/inductor/161344 -> ciflow/inductor/161344 2025-08-26T20:08:27.5774395Z * [new tag] ciflow/inductor/161345 -> ciflow/inductor/161345 2025-08-26T20:08:27.5774922Z * [new tag] ciflow/inductor/161346 -> ciflow/inductor/161346 2025-08-26T20:08:27.5775251Z * [new tag] ciflow/inductor/161347 -> ciflow/inductor/161347 2025-08-26T20:08:27.5775401Z * [new tag] ciflow/inductor/161348 -> ciflow/inductor/161348 2025-08-26T20:08:27.5775535Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-08-26T20:08:27.5775668Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-08-26T20:08:27.5775818Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-08-26T20:08:27.5775957Z * [new tag] ciflow/inductor/161353 -> ciflow/inductor/161353 2025-08-26T20:08:27.5776096Z * [new tag] ciflow/inductor/161354 -> ciflow/inductor/161354 2025-08-26T20:08:27.5776257Z * [new tag] ciflow/inductor/161355 -> ciflow/inductor/161355 2025-08-26T20:08:27.5777687Z * [new tag] ciflow/inductor/161362 -> ciflow/inductor/161362 2025-08-26T20:08:27.5777877Z * [new tag] ciflow/inductor/161363 -> ciflow/inductor/161363 2025-08-26T20:08:27.5778055Z * [new tag] ciflow/inductor/161382 -> ciflow/inductor/161382 2025-08-26T20:08:27.5778187Z * [new tag] ciflow/inductor/161383 -> ciflow/inductor/161383 2025-08-26T20:08:27.5778441Z * [new tag] ciflow/inductor/161385 -> ciflow/inductor/161385 2025-08-26T20:08:27.5779710Z * [new tag] ciflow/inductor/161396 -> ciflow/inductor/161396 2025-08-26T20:08:27.5779883Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-08-26T20:08:27.5780095Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-08-26T20:08:27.5781851Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-08-26T20:08:27.5782035Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-08-26T20:08:27.5782184Z * [new tag] ciflow/inductor/161409 -> ciflow/inductor/161409 2025-08-26T20:08:27.5782405Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-08-26T20:08:27.5782843Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-08-26T20:08:27.5783435Z * [new tag] ciflow/inductor/161416 -> ciflow/inductor/161416 2025-08-26T20:08:27.5783902Z * [new tag] ciflow/inductor/161420 -> ciflow/inductor/161420 2025-08-26T20:08:27.5784468Z * [new tag] ciflow/inductor/161431 -> ciflow/inductor/161431 2025-08-26T20:08:27.5784856Z * [new tag] ciflow/inductor/161435 -> ciflow/inductor/161435 2025-08-26T20:08:27.5788664Z * [new tag] ciflow/inductor/161440 -> ciflow/inductor/161440 2025-08-26T20:08:27.5788984Z * [new tag] ciflow/inductor/161447 -> ciflow/inductor/161447 2025-08-26T20:08:27.5789153Z * [new tag] ciflow/inductor/161452 -> ciflow/inductor/161452 2025-08-26T20:08:27.5789348Z * [new tag] ciflow/inductor/161453 -> ciflow/inductor/161453 2025-08-26T20:08:27.5789489Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-08-26T20:08:27.5789632Z * [new tag] ciflow/inductor/161461 -> ciflow/inductor/161461 2025-08-26T20:08:27.5789765Z * [new tag] ciflow/inductor/161464 -> ciflow/inductor/161464 2025-08-26T20:08:27.5789898Z * [new tag] ciflow/inductor/161466 -> ciflow/inductor/161466 2025-08-26T20:08:27.5790045Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-08-26T20:08:27.5790453Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-08-26T20:08:27.5791285Z * [new tag] ciflow/inductor/161474 -> ciflow/inductor/161474 2025-08-26T20:08:27.5791896Z * [new tag] ciflow/inductor/161477 -> ciflow/inductor/161477 2025-08-26T20:08:27.5792279Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-08-26T20:08:27.5792428Z * [new tag] ciflow/inductor/161486 -> ciflow/inductor/161486 2025-08-26T20:08:27.5792642Z * [new tag] ciflow/inductor/161487 -> ciflow/inductor/161487 2025-08-26T20:08:27.5793330Z * [new tag] ciflow/inductor/161495 -> ciflow/inductor/161495 2025-08-26T20:08:27.5793709Z * [new tag] ciflow/inductor/161497 -> ciflow/inductor/161497 2025-08-26T20:08:27.5794238Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-08-26T20:08:27.5794718Z * [new tag] ciflow/inductor/161512 -> ciflow/inductor/161512 2025-08-26T20:08:27.5795392Z * [new tag] ciflow/inductor/161521 -> ciflow/inductor/161521 2025-08-26T20:08:27.5795736Z * [new tag] ciflow/inductor/161526 -> ciflow/inductor/161526 2025-08-26T20:08:27.5796938Z * [new tag] ciflow/inductor/161530 -> ciflow/inductor/161530 2025-08-26T20:08:27.5797087Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-08-26T20:08:27.5797261Z * [new tag] ciflow/inductor/161536 -> ciflow/inductor/161536 2025-08-26T20:08:27.5798839Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-26T20:08:27.5799029Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-26T20:08:27.5799397Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-26T20:08:27.5800972Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-26T20:08:27.5801579Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-26T20:08:27.5801865Z * [new tag] ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080 2025-08-26T20:08:27.5802045Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-26T20:08:27.5802171Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-26T20:08:27.5802603Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-26T20:08:27.5804298Z * [new tag] ciflow/mps/160839 -> ciflow/mps/160839 2025-08-26T20:08:27.5804783Z * [new tag] ciflow/mps/161511 -> ciflow/mps/161511 2025-08-26T20:08:27.5805428Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-26T20:08:27.5805719Z * [new tag] ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180 2025-08-26T20:08:27.5807215Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-26T20:08:27.5807582Z * [new tag] ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 2025-08-26T20:08:27.5807872Z * [new tag] ciflow/periodic/156491 -> ciflow/periodic/156491 2025-08-26T20:08:27.5808010Z * [new tag] ciflow/periodic/161013 -> ciflow/periodic/161013 2025-08-26T20:08:27.5810745Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-26T20:08:27.5810933Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-26T20:08:27.5811076Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-26T20:08:27.5811253Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-26T20:08:27.5811459Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-26T20:08:27.5812791Z * [new tag] ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 2025-08-26T20:08:27.5813148Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-26T20:08:27.5814668Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-26T20:08:27.5814854Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-26T20:08:27.5815024Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-26T20:08:27.5816022Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-26T20:08:27.5816480Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-26T20:08:27.5817250Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-26T20:08:27.5817750Z * [new tag] ciflow/rocm-mi300/161040 -> ciflow/rocm-mi300/161040 2025-08-26T20:08:27.5818923Z * [new tag] ciflow/rocm-mi300/161180 -> ciflow/rocm-mi300/161180 2025-08-26T20:08:27.5819087Z * [new tag] ciflow/rocm-mi300/161225 -> ciflow/rocm-mi300/161225 2025-08-26T20:08:27.5819269Z * [new tag] ciflow/rocm-mi300/161429 -> ciflow/rocm-mi300/161429 2025-08-26T20:08:27.5819728Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-26T20:08:27.5820519Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-26T20:08:27.5820841Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-26T20:08:27.5822128Z * [new tag] ciflow/rocm/152526 -> ciflow/rocm/152526 2025-08-26T20:08:27.5822771Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-26T20:08:27.5822926Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-26T20:08:27.5823890Z * [new tag] ciflow/rocm/158352 -> ciflow/rocm/158352 2025-08-26T20:08:27.5824132Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-26T20:08:27.5824270Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-26T20:08:27.5824390Z * [new tag] ciflow/rocm/160671 -> ciflow/rocm/160671 2025-08-26T20:08:27.5824877Z * [new tag] ciflow/rocm/160676 -> ciflow/rocm/160676 2025-08-26T20:08:27.5826145Z * [new tag] ciflow/rocm/161180 -> ciflow/rocm/161180 2025-08-26T20:08:27.5826679Z * [new tag] ciflow/rocm/161225 -> ciflow/rocm/161225 2025-08-26T20:08:27.5826856Z * [new tag] ciflow/rocm/161277 -> ciflow/rocm/161277 2025-08-26T20:08:27.5827316Z * [new tag] ciflow/rocm/161429 -> ciflow/rocm/161429 2025-08-26T20:08:27.5827751Z * [new tag] ciflow/rocm/161496 -> ciflow/rocm/161496 2025-08-26T20:08:27.5828837Z * [new tag] ciflow/s390/160893 -> ciflow/s390/160893 2025-08-26T20:08:27.5829135Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-26T20:08:27.5830157Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-26T20:08:27.5831362Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-26T20:08:27.5831691Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-26T20:08:27.5831974Z * [new tag] ciflow/slow/161182 -> ciflow/slow/161182 2025-08-26T20:08:27.5832590Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-08-26T20:08:27.5834891Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-26T20:08:27.5835126Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-26T20:08:27.5835430Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-26T20:08:27.5836246Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-26T20:08:27.5836514Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-26T20:08:27.5836645Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-26T20:08:27.5837405Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-26T20:08:27.5837658Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-26T20:08:27.5839007Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-26T20:08:27.5839142Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-26T20:08:27.5839792Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-26T20:08:27.5840195Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-26T20:08:27.5841224Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-26T20:08:27.5841510Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-26T20:08:27.5843681Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-26T20:08:27.5843881Z * [new tag] ciflow/torchbench/158137 -> ciflow/torchbench/158137 2025-08-26T20:08:27.5844278Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-26T20:08:27.5844422Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-26T20:08:27.5844973Z * [new tag] ciflow/trunk/153784 -> ciflow/trunk/153784 2025-08-26T20:08:27.5845251Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-26T20:08:27.5845397Z * [new tag] ciflow/trunk/154864 -> ciflow/trunk/154864 2025-08-26T20:08:27.5845664Z * [new tag] ciflow/trunk/156418 -> ciflow/trunk/156418 2025-08-26T20:08:27.5846268Z * [new tag] ciflow/trunk/157196 -> ciflow/trunk/157196 2025-08-26T20:08:27.5850682Z * [new tag] ciflow/trunk/157537 -> ciflow/trunk/157537 2025-08-26T20:08:27.5850859Z * [new tag] ciflow/trunk/157767 -> ciflow/trunk/157767 2025-08-26T20:08:27.5850997Z * [new tag] ciflow/trunk/157944 -> ciflow/trunk/157944 2025-08-26T20:08:27.5851129Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-26T20:08:27.5851249Z * [new tag] ciflow/trunk/158541 -> ciflow/trunk/158541 2025-08-26T20:08:27.5851377Z * [new tag] ciflow/trunk/158733 -> ciflow/trunk/158733 2025-08-26T20:08:27.5851501Z * [new tag] ciflow/trunk/158747 -> ciflow/trunk/158747 2025-08-26T20:08:27.5851618Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-26T20:08:27.5851744Z * [new tag] ciflow/trunk/159387 -> ciflow/trunk/159387 2025-08-26T20:08:27.5852045Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-26T20:08:27.5852193Z * [new tag] ciflow/trunk/159786 -> ciflow/trunk/159786 2025-08-26T20:08:27.5852406Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-08-26T20:08:27.5852859Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-26T20:08:27.5854615Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-26T20:08:27.5854929Z * [new tag] ciflow/trunk/160156 -> ciflow/trunk/160156 2025-08-26T20:08:27.5855085Z * [new tag] ciflow/trunk/160180 -> ciflow/trunk/160180 2025-08-26T20:08:27.5855522Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-26T20:08:27.5855674Z * [new tag] ciflow/trunk/160258 -> ciflow/trunk/160258 2025-08-26T20:08:27.5859803Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-26T20:08:27.5860126Z * [new tag] ciflow/trunk/160448 -> ciflow/trunk/160448 2025-08-26T20:08:27.5860304Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-26T20:08:27.5860956Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-26T20:08:27.5861118Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-08-26T20:08:27.5861688Z * [new tag] ciflow/trunk/160671 -> ciflow/trunk/160671 2025-08-26T20:08:27.5861847Z * [new tag] ciflow/trunk/160677 -> ciflow/trunk/160677 2025-08-26T20:08:27.5862005Z * [new tag] ciflow/trunk/160692 -> ciflow/trunk/160692 2025-08-26T20:08:27.5862127Z * [new tag] ciflow/trunk/160781 -> ciflow/trunk/160781 2025-08-26T20:08:27.5862263Z * [new tag] ciflow/trunk/160825 -> ciflow/trunk/160825 2025-08-26T20:08:27.5862383Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-08-26T20:08:27.5862514Z * [new tag] ciflow/trunk/160866 -> ciflow/trunk/160866 2025-08-26T20:08:27.5862811Z * [new tag] ciflow/trunk/160915 -> ciflow/trunk/160915 2025-08-26T20:08:27.5862936Z * [new tag] ciflow/trunk/160991 -> ciflow/trunk/160991 2025-08-26T20:08:27.5863100Z * [new tag] ciflow/trunk/160992 -> ciflow/trunk/160992 2025-08-26T20:08:27.5863236Z * [new tag] ciflow/trunk/161004 -> ciflow/trunk/161004 2025-08-26T20:08:27.5863784Z * [new tag] ciflow/trunk/161016 -> ciflow/trunk/161016 2025-08-26T20:08:27.5865607Z * [new tag] ciflow/trunk/161023 -> ciflow/trunk/161023 2025-08-26T20:08:27.5865788Z * [new tag] ciflow/trunk/161026 -> ciflow/trunk/161026 2025-08-26T20:08:27.5865914Z * [new tag] ciflow/trunk/161032 -> ciflow/trunk/161032 2025-08-26T20:08:27.5866043Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-08-26T20:08:27.5866545Z * [new tag] ciflow/trunk/161040 -> ciflow/trunk/161040 2025-08-26T20:08:27.5867045Z * [new tag] ciflow/trunk/161094 -> ciflow/trunk/161094 2025-08-26T20:08:27.5867431Z * [new tag] ciflow/trunk/161097 -> ciflow/trunk/161097 2025-08-26T20:08:27.5868098Z * [new tag] ciflow/trunk/161098 -> ciflow/trunk/161098 2025-08-26T20:08:27.5871506Z * [new tag] ciflow/trunk/161100 -> ciflow/trunk/161100 2025-08-26T20:08:27.5872149Z * [new tag] ciflow/trunk/161106 -> ciflow/trunk/161106 2025-08-26T20:08:27.5872682Z * [new tag] ciflow/trunk/161110 -> ciflow/trunk/161110 2025-08-26T20:08:27.5872809Z * [new tag] ciflow/trunk/161114 -> ciflow/trunk/161114 2025-08-26T20:08:27.5872933Z * [new tag] ciflow/trunk/161117 -> ciflow/trunk/161117 2025-08-26T20:08:27.5873211Z * [new tag] ciflow/trunk/161123 -> ciflow/trunk/161123 2025-08-26T20:08:27.5873371Z * [new tag] ciflow/trunk/161124 -> ciflow/trunk/161124 2025-08-26T20:08:27.5873586Z * [new tag] ciflow/trunk/161126 -> ciflow/trunk/161126 2025-08-26T20:08:27.5873726Z * [new tag] ciflow/trunk/161131 -> ciflow/trunk/161131 2025-08-26T20:08:27.5873853Z * [new tag] ciflow/trunk/161143 -> ciflow/trunk/161143 2025-08-26T20:08:27.5874197Z * [new tag] ciflow/trunk/161144 -> ciflow/trunk/161144 2025-08-26T20:08:27.5875296Z * [new tag] ciflow/trunk/161164 -> ciflow/trunk/161164 2025-08-26T20:08:27.5875435Z * [new tag] ciflow/trunk/161180 -> ciflow/trunk/161180 2025-08-26T20:08:27.5875599Z * [new tag] ciflow/trunk/161214 -> ciflow/trunk/161214 2025-08-26T20:08:27.5876060Z * [new tag] ciflow/trunk/161217 -> ciflow/trunk/161217 2025-08-26T20:08:27.5876552Z * [new tag] ciflow/trunk/161225 -> ciflow/trunk/161225 2025-08-26T20:08:27.5877106Z * [new tag] ciflow/trunk/161236 -> ciflow/trunk/161236 2025-08-26T20:08:27.5878211Z * [new tag] ciflow/trunk/161237 -> ciflow/trunk/161237 2025-08-26T20:08:27.5878875Z * [new tag] ciflow/trunk/161241 -> ciflow/trunk/161241 2025-08-26T20:08:27.5879168Z * [new tag] ciflow/trunk/161262 -> ciflow/trunk/161262 2025-08-26T20:08:27.5880510Z * [new tag] ciflow/trunk/161263 -> ciflow/trunk/161263 2025-08-26T20:08:27.5880847Z * [new tag] ciflow/trunk/161279 -> ciflow/trunk/161279 2025-08-26T20:08:27.5880987Z * [new tag] ciflow/trunk/161306 -> ciflow/trunk/161306 2025-08-26T20:08:27.5881971Z * [new tag] ciflow/trunk/161311 -> ciflow/trunk/161311 2025-08-26T20:08:27.5882219Z * [new tag] ciflow/trunk/161354 -> ciflow/trunk/161354 2025-08-26T20:08:27.5882497Z * [new tag] ciflow/trunk/161355 -> ciflow/trunk/161355 2025-08-26T20:08:27.5882625Z * [new tag] ciflow/trunk/161362 -> ciflow/trunk/161362 2025-08-26T20:08:27.5882778Z * [new tag] ciflow/trunk/161363 -> ciflow/trunk/161363 2025-08-26T20:08:27.5883743Z * [new tag] ciflow/trunk/161370 -> ciflow/trunk/161370 2025-08-26T20:08:27.5884812Z * [new tag] ciflow/trunk/161383 -> ciflow/trunk/161383 2025-08-26T20:08:27.5885433Z * [new tag] ciflow/trunk/161385 -> ciflow/trunk/161385 2025-08-26T20:08:27.5885615Z * [new tag] ciflow/trunk/161389 -> ciflow/trunk/161389 2025-08-26T20:08:27.5885745Z * [new tag] ciflow/trunk/161392 -> ciflow/trunk/161392 2025-08-26T20:08:27.5885887Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-08-26T20:08:27.5886320Z * [new tag] ciflow/trunk/161396 -> ciflow/trunk/161396 2025-08-26T20:08:27.5886855Z * [new tag] ciflow/trunk/161409 -> ciflow/trunk/161409 2025-08-26T20:08:27.5887569Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-08-26T20:08:27.5887885Z * [new tag] ciflow/trunk/161435 -> ciflow/trunk/161435 2025-08-26T20:08:27.5888464Z * [new tag] ciflow/trunk/161437 -> ciflow/trunk/161437 2025-08-26T20:08:27.5888990Z * [new tag] ciflow/trunk/161451 -> ciflow/trunk/161451 2025-08-26T20:08:27.5889776Z * [new tag] ciflow/trunk/161453 -> ciflow/trunk/161453 2025-08-26T20:08:27.5891034Z * [new tag] ciflow/trunk/161454 -> ciflow/trunk/161454 2025-08-26T20:08:27.5891175Z * [new tag] ciflow/trunk/161489 -> ciflow/trunk/161489 2025-08-26T20:08:27.5891389Z * [new tag] ciflow/trunk/161517 -> ciflow/trunk/161517 2025-08-26T20:08:27.5893082Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-26T20:08:27.5893268Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-26T20:08:27.5893416Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-26T20:08:27.5893966Z * [new tag] ciflow/win-arm64/160258 -> ciflow/win-arm64/160258 2025-08-26T20:08:27.5895591Z * [new tag] ciflow/win-arm64/161504 -> ciflow/win-arm64/161504 2025-08-26T20:08:27.5896045Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-26T20:08:27.5896170Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-26T20:08:27.5897720Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-26T20:08:27.5897909Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-26T20:08:27.5898055Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-26T20:08:27.5898184Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-26T20:08:27.5898715Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-08-26T20:08:27.5899430Z * [new tag] ciflow/xpu/161041 -> ciflow/xpu/161041 2025-08-26T20:08:27.5900093Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-08-26T20:08:27.5900352Z * [new tag] ciflow/xpu/161142 -> ciflow/xpu/161142 2025-08-26T20:08:27.5900826Z * [new tag] ciflow/xpu/161152 -> ciflow/xpu/161152 2025-08-26T20:08:27.5901109Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-08-26T20:08:27.5901232Z * [new tag] ciflow/xpu/161389 -> ciflow/xpu/161389 2025-08-26T20:08:27.5902604Z * [new tag] ciflow/xpu/161392 -> ciflow/xpu/161392 2025-08-26T20:08:27.5903233Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-08-26T20:08:27.5903388Z * [new tag] ciflow/xpu/161477 -> ciflow/xpu/161477 2025-08-26T20:08:27.5903514Z * [new tag] ciflow/xpu/161489 -> ciflow/xpu/161489 2025-08-26T20:08:27.5903793Z * [new tag] cslpull75 -> cslpull75 2025-08-26T20:08:27.5905054Z * [new tag] cslpull76 -> cslpull76 2025-08-26T20:08:27.5905312Z * [new tag] cslpull77 -> cslpull77 2025-08-26T20:08:27.5905453Z * [new tag] cslpull78 -> cslpull78 2025-08-26T20:08:27.5906612Z * [new tag] cslpull79 -> cslpull79 2025-08-26T20:08:27.5906925Z * [new tag] cslpull80 -> cslpull80 2025-08-26T20:08:27.5908550Z * [new tag] cslpull81 -> cslpull81 2025-08-26T20:08:27.5908684Z * [new tag] cslpull82 -> cslpull82 2025-08-26T20:08:27.5909225Z * [new tag] cslpull83 -> cslpull83 2025-08-26T20:08:27.5909563Z * [new tag] cslpull84 -> cslpull84 2025-08-26T20:08:27.5909676Z * [new tag] cslpull85 -> cslpull85 2025-08-26T20:08:27.5911706Z * [new tag] cslpull86 -> cslpull86 2025-08-26T20:08:27.5911849Z * [new tag] cslpull87 -> cslpull87 2025-08-26T20:08:27.5911971Z * [new tag] cslpull88 -> cslpull88 2025-08-26T20:08:27.5912107Z * [new tag] cslpull89 -> cslpull89 2025-08-26T20:08:27.5912926Z * [new tag] cslpull90 -> cslpull90 2025-08-26T20:08:27.5913996Z * [new tag] cslpull91 -> cslpull91 2025-08-26T20:08:27.5915091Z * [new tag] cslpull92 -> cslpull92 2025-08-26T20:08:27.5915226Z * [new tag] flight_5 -> flight_5 2025-08-26T20:08:27.5916745Z * [new tag] flight_5.1 -> flight_5.1 2025-08-26T20:08:27.5918752Z * [new tag] flight_5.2 -> flight_5.2 2025-08-26T20:08:27.5918926Z * [new tag] flight_5.3 -> flight_5.3 2025-08-26T20:08:27.5919358Z * [new tag] forpull1 -> forpull1 2025-08-26T20:08:27.5919837Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-26T20:08:27.5919992Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-26T20:08:27.5920129Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-26T20:08:27.5920271Z * [new tag] nightly-binary -> nightly-binary 2025-08-26T20:08:27.5920465Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-26T20:08:27.5922831Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-26T20:08:27.5923316Z * [new tag] trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 2025-08-26T20:08:27.5923584Z * [new tag] trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf 2025-08-26T20:08:27.5923917Z * [new tag] trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff 2025-08-26T20:08:27.5924204Z * [new tag] trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 2025-08-26T20:08:27.5925388Z * [new tag] trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 2025-08-26T20:08:27.5925821Z * [new tag] trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397 2025-08-26T20:08:27.5926478Z * [new tag] trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 2025-08-26T20:08:27.5926752Z * [new tag] trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45 2025-08-26T20:08:27.5928322Z * [new tag] trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 2025-08-26T20:08:27.5928744Z * [new tag] trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 2025-08-26T20:08:27.5929151Z * [new tag] trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a 2025-08-26T20:08:27.5929525Z * [new tag] trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 2025-08-26T20:08:27.5934120Z * [new tag] trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db 2025-08-26T20:08:27.5934430Z * [new tag] trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb 2025-08-26T20:08:27.5934692Z * [new tag] trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 2025-08-26T20:08:27.5938901Z * [new tag] trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 2025-08-26T20:08:27.5939191Z * [new tag] trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084 2025-08-26T20:08:27.5939456Z * [new tag] trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc 2025-08-26T20:08:27.5939722Z * [new tag] trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 2025-08-26T20:08:27.5939985Z * [new tag] trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 2025-08-26T20:08:27.5940238Z * [new tag] trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 2025-08-26T20:08:27.5940496Z * [new tag] trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c 2025-08-26T20:08:27.5941032Z * [new tag] trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 2025-08-26T20:08:27.5941549Z * [new tag] trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25 2025-08-26T20:08:27.5942016Z * [new tag] trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a 2025-08-26T20:08:27.5942623Z * [new tag] trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a 2025-08-26T20:08:27.5943191Z * [new tag] trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c 2025-08-26T20:08:27.5943997Z * [new tag] trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492 2025-08-26T20:08:27.5944654Z * [new tag] trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456 2025-08-26T20:08:27.5945089Z * [new tag] trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 2025-08-26T20:08:27.5945639Z * [new tag] trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a 2025-08-26T20:08:27.5946255Z * [new tag] trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 2025-08-26T20:08:27.5947090Z * [new tag] trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:08:27.5947470Z * [new tag] trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a 2025-08-26T20:08:27.5948252Z * [new tag] trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 2025-08-26T20:08:27.5948593Z * [new tag] trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338 2025-08-26T20:08:27.5952171Z * [new tag] trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f 2025-08-26T20:08:27.5952476Z * [new tag] trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e 2025-08-26T20:08:27.5952774Z * [new tag] trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 2025-08-26T20:08:27.5953026Z * [new tag] trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2 2025-08-26T20:08:27.5953289Z * [new tag] trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 2025-08-26T20:08:27.5953545Z * [new tag] trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 2025-08-26T20:08:27.5953821Z * [new tag] trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 2025-08-26T20:08:27.5954069Z * [new tag] trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a 2025-08-26T20:08:27.5954330Z * [new tag] trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 2025-08-26T20:08:27.5954707Z * [new tag] trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf 2025-08-26T20:08:27.5955230Z * [new tag] trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 2025-08-26T20:08:27.5956717Z * [new tag] trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 2025-08-26T20:08:27.5957135Z * [new tag] trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d 2025-08-26T20:08:27.5957438Z * [new tag] trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d 2025-08-26T20:08:27.5958420Z * [new tag] trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2 2025-08-26T20:08:27.5960852Z * [new tag] trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 2025-08-26T20:08:27.5961148Z * [new tag] trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8 2025-08-26T20:08:27.5961430Z * [new tag] trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 2025-08-26T20:08:27.5961676Z * [new tag] trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e 2025-08-26T20:08:27.5961957Z * [new tag] trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 2025-08-26T20:08:27.5962220Z * [new tag] trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b 2025-08-26T20:08:27.5962929Z * [new tag] trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 2025-08-26T20:08:27.5963479Z * [new tag] trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528 2025-08-26T20:08:27.5964596Z * [new tag] trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 2025-08-26T20:08:27.5964864Z * [new tag] trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038 2025-08-26T20:08:27.5965379Z * [new tag] trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f 2025-08-26T20:08:27.5966010Z * [new tag] trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76 2025-08-26T20:08:27.5967661Z * [new tag] trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 2025-08-26T20:08:27.5968051Z * [new tag] trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa 2025-08-26T20:08:27.5968433Z * [new tag] trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 2025-08-26T20:08:27.5972520Z * [new tag] trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed 2025-08-26T20:08:27.5973160Z * [new tag] trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 2025-08-26T20:08:27.5973760Z * [new tag] trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 2025-08-26T20:08:27.5974338Z * [new tag] trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 2025-08-26T20:08:27.5974904Z * [new tag] trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 2025-08-26T20:08:27.5975471Z * [new tag] trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69 2025-08-26T20:08:27.5976023Z * [new tag] trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4 2025-08-26T20:08:27.5976573Z * [new tag] trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 2025-08-26T20:08:27.5977269Z * [new tag] trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083 2025-08-26T20:08:27.5977809Z * [new tag] trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08 2025-08-26T20:08:27.5978386Z * [new tag] trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 2025-08-26T20:08:27.5978991Z * [new tag] trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab 2025-08-26T20:08:27.5979570Z * [new tag] trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 2025-08-26T20:08:27.5980136Z * [new tag] trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 2025-08-26T20:08:27.5980710Z * [new tag] trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 2025-08-26T20:08:27.5981277Z * [new tag] trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 2025-08-26T20:08:27.5981838Z * [new tag] trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e 2025-08-26T20:08:27.5982467Z * [new tag] trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6 2025-08-26T20:08:27.5983115Z * [new tag] trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 2025-08-26T20:08:27.5983708Z * [new tag] trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019 2025-08-26T20:08:27.5984271Z * [new tag] trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 2025-08-26T20:08:27.5984841Z * [new tag] trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df 2025-08-26T20:08:27.5985416Z * [new tag] trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9 2025-08-26T20:08:27.5985978Z * [new tag] trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 2025-08-26T20:08:27.5986548Z * [new tag] trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed 2025-08-26T20:08:27.5987110Z * [new tag] trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb 2025-08-26T20:08:27.5987684Z * [new tag] trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 2025-08-26T20:08:27.5988252Z * [new tag] trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 2025-08-26T20:08:27.5988844Z * [new tag] trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05 2025-08-26T20:08:27.5989396Z * [new tag] trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa 2025-08-26T20:08:27.5989937Z * [new tag] trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa 2025-08-26T20:08:27.5990493Z * [new tag] trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b 2025-08-26T20:08:27.5991053Z * [new tag] trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d 2025-08-26T20:08:27.5991618Z * [new tag] trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 2025-08-26T20:08:27.5992184Z * [new tag] trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06 2025-08-26T20:08:27.5992795Z * [new tag] trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e 2025-08-26T20:08:27.5993348Z * [new tag] trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f 2025-08-26T20:08:27.5993897Z * [new tag] trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d 2025-08-26T20:08:27.5994452Z * [new tag] trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b 2025-08-26T20:08:27.5995010Z * [new tag] trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 2025-08-26T20:08:27.5995565Z * [new tag] trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f 2025-08-26T20:08:27.5996119Z * [new tag] trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f 2025-08-26T20:08:27.5996685Z * [new tag] trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 2025-08-26T20:08:27.5997253Z * [new tag] trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 2025-08-26T20:08:27.5997817Z * [new tag] trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc 2025-08-26T20:08:27.5998416Z * [new tag] trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 2025-08-26T20:08:27.5998970Z * [new tag] trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548 2025-08-26T20:08:27.5999528Z * [new tag] trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab 2025-08-26T20:08:27.6000104Z * [new tag] trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 2025-08-26T20:08:27.6000670Z * [new tag] trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 2025-08-26T20:08:27.6001240Z * [new tag] trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 2025-08-26T20:08:27.6001821Z * [new tag] trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 2025-08-26T20:08:27.6002382Z * [new tag] trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59 2025-08-26T20:08:27.6002936Z * [new tag] trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 2025-08-26T20:08:27.6003506Z * [new tag] trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 2025-08-26T20:08:27.6004068Z * [new tag] trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124 2025-08-26T20:08:27.6004607Z * [new tag] trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a 2025-08-26T20:08:27.6005161Z * [new tag] trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 2025-08-26T20:08:27.6005710Z * [new tag] trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4 2025-08-26T20:08:27.6006247Z * [new tag] trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3 2025-08-26T20:08:27.6006788Z * [new tag] trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b 2025-08-26T20:08:27.6007813Z * [new tag] trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384 2025-08-26T20:08:27.6008376Z * [new tag] trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806 2025-08-26T20:08:27.6008935Z * [new tag] trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547 2025-08-26T20:08:27.6009502Z * [new tag] trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 2025-08-26T20:08:27.6010639Z * [new tag] trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea 2025-08-26T20:08:27.6011273Z * [new tag] trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba 2025-08-26T20:08:27.6011864Z * [new tag] trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a 2025-08-26T20:08:27.6012452Z * [new tag] trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d 2025-08-26T20:08:27.6013007Z * [new tag] trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f 2025-08-26T20:08:27.6013577Z * [new tag] trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e 2025-08-26T20:08:27.6014400Z * [new tag] trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f 2025-08-26T20:08:27.6014998Z * [new tag] trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 2025-08-26T20:08:27.6015563Z * [new tag] trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede 2025-08-26T20:08:27.6016148Z * [new tag] trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 2025-08-26T20:08:27.6016730Z * [new tag] trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 2025-08-26T20:08:27.6017325Z * [new tag] trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 2025-08-26T20:08:27.6017888Z * [new tag] trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 2025-08-26T20:08:27.6018467Z * [new tag] trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e 2025-08-26T20:08:27.6019038Z * [new tag] trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa 2025-08-26T20:08:27.6020692Z * [new tag] trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 2025-08-26T20:08:27.6021293Z * [new tag] trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb 2025-08-26T20:08:27.6021878Z * [new tag] trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 2025-08-26T20:08:27.6022451Z * [new tag] trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b 2025-08-26T20:08:27.6023021Z * [new tag] trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e 2025-08-26T20:08:27.6023780Z * [new tag] trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561 2025-08-26T20:08:27.6024329Z * [new tag] trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762 2025-08-26T20:08:27.6024877Z * [new tag] trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e 2025-08-26T20:08:27.6025523Z * [new tag] trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da 2025-08-26T20:08:27.6026090Z * [new tag] trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae 2025-08-26T20:08:27.6026645Z * [new tag] trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e 2025-08-26T20:08:27.6027323Z * [new tag] trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7 2025-08-26T20:08:27.6027876Z * [new tag] trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be 2025-08-26T20:08:27.6028430Z * [new tag] trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a 2025-08-26T20:08:27.6028976Z * [new tag] trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4 2025-08-26T20:08:27.6030256Z * [new tag] trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da 2025-08-26T20:08:27.6031025Z * [new tag] trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 2025-08-26T20:08:27.6031604Z * [new tag] trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a 2025-08-26T20:08:27.6032306Z * [new tag] trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 2025-08-26T20:08:27.6032897Z * [new tag] trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 2025-08-26T20:08:27.6033468Z * [new tag] trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 2025-08-26T20:08:27.6034039Z * [new tag] trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a 2025-08-26T20:08:27.6034602Z * [new tag] trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea 2025-08-26T20:08:27.6035152Z * [new tag] trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 -> trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 2025-08-26T20:08:27.6035710Z * [new tag] trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b 2025-08-26T20:08:27.6036267Z * [new tag] trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d 2025-08-26T20:08:27.6036824Z * [new tag] trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 2025-08-26T20:08:27.6037417Z * [new tag] trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 2025-08-26T20:08:27.6037988Z * [new tag] trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 2025-08-26T20:08:27.6038541Z * [new tag] trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 2025-08-26T20:08:27.6039101Z * [new tag] trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 2025-08-26T20:08:27.6040558Z * [new tag] trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b 2025-08-26T20:08:27.6041139Z * [new tag] trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 2025-08-26T20:08:27.6041698Z * [new tag] trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 2025-08-26T20:08:27.6042363Z * [new tag] trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b 2025-08-26T20:08:27.6042924Z * [new tag] trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb 2025-08-26T20:08:27.6043882Z * [new tag] trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205 2025-08-26T20:08:27.6044498Z * [new tag] trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4 2025-08-26T20:08:27.6045085Z * [new tag] trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e 2025-08-26T20:08:27.6045715Z * [new tag] trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 2025-08-26T20:08:27.6046291Z * [new tag] trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 2025-08-26T20:08:27.6046877Z * [new tag] trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b 2025-08-26T20:08:27.6048001Z * [new tag] trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 2025-08-26T20:08:27.6048921Z * [new tag] trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b 2025-08-26T20:08:27.6050054Z * [new tag] trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e 2025-08-26T20:08:27.6050767Z * [new tag] trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 2025-08-26T20:08:27.6051363Z * [new tag] trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc 2025-08-26T20:08:27.6052044Z * [new tag] trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 2025-08-26T20:08:27.6052601Z * [new tag] trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 2025-08-26T20:08:27.6053215Z * [new tag] trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 2025-08-26T20:08:27.6053783Z * [new tag] trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58 2025-08-26T20:08:27.6054348Z * [new tag] trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 2025-08-26T20:08:27.6054906Z * [new tag] trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 2025-08-26T20:08:27.6055463Z * [new tag] trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652 2025-08-26T20:08:27.6056024Z * [new tag] trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004 2025-08-26T20:08:27.6056592Z * [new tag] trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 2025-08-26T20:08:27.6057177Z * [new tag] trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 2025-08-26T20:08:27.6057750Z * [new tag] trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a 2025-08-26T20:08:27.6058318Z * [new tag] trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271 2025-08-26T20:08:27.6058881Z * [new tag] trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2 2025-08-26T20:08:27.6059523Z * [new tag] trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781 2025-08-26T20:08:27.6060086Z * [new tag] trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 2025-08-26T20:08:27.6060667Z * [new tag] trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 2025-08-26T20:08:27.6061234Z * [new tag] trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 2025-08-26T20:08:27.6061859Z * [new tag] trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 2025-08-26T20:08:27.6062407Z * [new tag] trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908 2025-08-26T20:08:27.6062958Z * [new tag] trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a 2025-08-26T20:08:27.6063516Z * [new tag] trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e 2025-08-26T20:08:27.6064073Z * [new tag] trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc 2025-08-26T20:08:27.6064635Z * [new tag] trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a 2025-08-26T20:08:27.6065184Z * [new tag] trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 2025-08-26T20:08:27.6066200Z * [new tag] trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca 2025-08-26T20:08:27.6066775Z * [new tag] trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f 2025-08-26T20:08:27.6067342Z * [new tag] trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579 2025-08-26T20:08:27.6067921Z * [new tag] trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 2025-08-26T20:08:27.6068491Z * [new tag] trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f 2025-08-26T20:08:27.6069070Z * [new tag] trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d 2025-08-26T20:08:27.6069776Z * [new tag] trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec 2025-08-26T20:08:27.6070365Z * [new tag] trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 2025-08-26T20:08:27.6070910Z * [new tag] trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54 2025-08-26T20:08:27.6071474Z * [new tag] trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 2025-08-26T20:08:27.6072052Z * [new tag] trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751 2025-08-26T20:08:27.6072639Z * [new tag] trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 2025-08-26T20:08:27.6073240Z * [new tag] trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e 2025-08-26T20:08:27.6073967Z * [new tag] trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a 2025-08-26T20:08:27.6074575Z * [new tag] trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5 2025-08-26T20:08:27.6075274Z * [new tag] trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 2025-08-26T20:08:27.6076045Z * [new tag] trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c 2025-08-26T20:08:27.6076746Z * [new tag] trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8 2025-08-26T20:08:27.6077433Z * [new tag] trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a 2025-08-26T20:08:27.6078185Z * [new tag] trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 2025-08-26T20:08:27.6078898Z * [new tag] trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e 2025-08-26T20:08:27.6079620Z * [new tag] trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 2025-08-26T20:08:27.6080349Z * [new tag] trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 2025-08-26T20:08:27.6081082Z * [new tag] trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 2025-08-26T20:08:27.6081662Z * [new tag] trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 2025-08-26T20:08:27.6082220Z * [new tag] trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2 2025-08-26T20:08:27.6082829Z * [new tag] trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec 2025-08-26T20:08:27.6083410Z * [new tag] trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d 2025-08-26T20:08:27.6083965Z * [new tag] trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 2025-08-26T20:08:27.6084542Z * [new tag] trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa 2025-08-26T20:08:27.6085116Z * [new tag] trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a 2025-08-26T20:08:27.6085710Z * [new tag] trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 2025-08-26T20:08:27.6086286Z * [new tag] trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b 2025-08-26T20:08:27.6086898Z * [new tag] trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc 2025-08-26T20:08:27.6087560Z * [new tag] trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 2025-08-26T20:08:27.6088126Z * [new tag] trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb 2025-08-26T20:08:27.6088697Z * [new tag] trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872 2025-08-26T20:08:27.6089248Z * [new tag] trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 2025-08-26T20:08:27.6089819Z * [new tag] trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58 2025-08-26T20:08:27.6090384Z * [new tag] trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271 2025-08-26T20:08:27.6090951Z * [new tag] trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 2025-08-26T20:08:27.6092389Z * [new tag] trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 2025-08-26T20:08:27.6093020Z * [new tag] trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 2025-08-26T20:08:27.6093598Z * [new tag] trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 2025-08-26T20:08:27.6094179Z * [new tag] trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 2025-08-26T20:08:27.6094769Z * [new tag] trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 2025-08-26T20:08:27.6095360Z * [new tag] trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 2025-08-26T20:08:27.6095942Z * [new tag] trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a 2025-08-26T20:08:27.6096505Z * [new tag] trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad 2025-08-26T20:08:27.6097073Z * [new tag] trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 2025-08-26T20:08:27.6097646Z * [new tag] trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 2025-08-26T20:08:27.6098207Z * [new tag] trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8 2025-08-26T20:08:27.6098809Z * [new tag] trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 2025-08-26T20:08:27.6099397Z * [new tag] trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 2025-08-26T20:08:27.6099963Z * [new tag] trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a 2025-08-26T20:08:27.6100525Z * [new tag] trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232 2025-08-26T20:08:27.6101086Z * [new tag] trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d 2025-08-26T20:08:27.6101670Z * [new tag] trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 2025-08-26T20:08:27.6102233Z * [new tag] trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073 2025-08-26T20:08:27.6102812Z * [new tag] trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8 2025-08-26T20:08:27.6104209Z * [new tag] trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 2025-08-26T20:08:27.6104779Z * [new tag] trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d 2025-08-26T20:08:27.6105344Z * [new tag] trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa 2025-08-26T20:08:27.6106766Z * [new tag] trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 2025-08-26T20:08:27.6108202Z * [new tag] trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 2025-08-26T20:08:27.6108787Z * [new tag] trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 2025-08-26T20:08:27.6109378Z * [new tag] trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6 2025-08-26T20:08:27.6109953Z * [new tag] trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 2025-08-26T20:08:27.6110544Z * [new tag] trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec 2025-08-26T20:08:27.6111065Z * [new tag] v0.1.1 -> v0.1.1 2025-08-26T20:08:27.6111359Z * [new tag] v0.1.10 -> v0.1.10 2025-08-26T20:08:27.6112646Z * [new tag] v0.1.11 -> v0.1.11 2025-08-26T20:08:27.6112925Z * [new tag] v0.1.12 -> v0.1.12 2025-08-26T20:08:27.6113238Z * [new tag] v0.1.2 -> v0.1.2 2025-08-26T20:08:27.6113584Z * [new tag] v0.1.3 -> v0.1.3 2025-08-26T20:08:27.6117605Z * [new tag] v0.1.4 -> v0.1.4 2025-08-26T20:08:27.6117903Z * [new tag] v0.1.5 -> v0.1.5 2025-08-26T20:08:27.6118171Z * [new tag] v0.1.6 -> v0.1.6 2025-08-26T20:08:27.6118429Z * [new tag] v0.1.7 -> v0.1.7 2025-08-26T20:08:27.6118706Z * [new tag] v0.1.8 -> v0.1.8 2025-08-26T20:08:27.6118975Z * [new tag] v0.1.9 -> v0.1.9 2025-08-26T20:08:27.6119235Z * [new tag] v0.2.0 -> v0.2.0 2025-08-26T20:08:27.6120502Z * [new tag] v0.3.0 -> v0.3.0 2025-08-26T20:08:27.6120774Z * [new tag] v0.3.1 -> v0.3.1 2025-08-26T20:08:27.6121045Z * [new tag] v0.4.0 -> v0.4.0 2025-08-26T20:08:27.6121412Z * [new tag] v0.4.1 -> v0.4.1 2025-08-26T20:08:27.6121687Z * [new tag] v1.0.0 -> v1.0.0 2025-08-26T20:08:27.6121960Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-26T20:08:27.6123693Z * [new tag] v1.0.1 -> v1.0.1 2025-08-26T20:08:27.6123978Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-26T20:08:27.6124258Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-26T20:08:27.6124526Z * [new tag] v1.1.0 -> v1.1.0 2025-08-26T20:08:27.6124794Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-26T20:08:27.6125070Z * [new tag] v1.10.0 -> v1.10.0 2025-08-26T20:08:27.6125359Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-26T20:08:27.6125652Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-26T20:08:27.6125938Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-26T20:08:27.6126691Z * [new tag] v1.10.1 -> v1.10.1 2025-08-26T20:08:27.6127595Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-26T20:08:27.6127991Z * [new tag] v1.10.2 -> v1.10.2 2025-08-26T20:08:27.6128295Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-26T20:08:27.6128580Z * [new tag] v1.11.0 -> v1.11.0 2025-08-26T20:08:27.6128893Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-26T20:08:27.6129555Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-26T20:08:27.6130186Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-26T20:08:27.6131696Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-26T20:08:27.6132121Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-26T20:08:27.6132681Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-26T20:08:27.6133008Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-26T20:08:27.6133668Z * [new tag] v1.12.0 -> v1.12.0 2025-08-26T20:08:27.6134310Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-26T20:08:27.6134617Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-26T20:08:27.6136035Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-26T20:08:27.6136325Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-26T20:08:27.6136608Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-26T20:08:27.6136879Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-26T20:08:27.6137323Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-26T20:08:27.6137821Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-26T20:08:27.6138298Z * [new tag] v1.12.1 -> v1.12.1 2025-08-26T20:08:27.6139078Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-26T20:08:27.6140785Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-26T20:08:27.6141255Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-26T20:08:27.6141558Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-26T20:08:27.6141861Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-26T20:08:27.6142511Z * [new tag] v1.13.0 -> v1.13.0 2025-08-26T20:08:27.6143262Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-26T20:08:27.6143863Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-26T20:08:27.6144159Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-26T20:08:27.6155971Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-26T20:08:27.6156390Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-26T20:08:27.6156685Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-26T20:08:27.6156996Z * [new tag] v1.13.1 -> v1.13.1 2025-08-26T20:08:27.6157287Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-26T20:08:27.6157585Z * [new tag] v1.2.0 -> v1.2.0 2025-08-26T20:08:27.6157881Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-26T20:08:27.6158160Z * [new tag] v1.3.0 -> v1.3.0 2025-08-26T20:08:27.6158449Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-26T20:08:27.6158737Z * [new tag] v1.3.1 -> v1.3.1 2025-08-26T20:08:27.6159012Z * [new tag] v1.4.0 -> v1.4.0 2025-08-26T20:08:27.6159284Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-26T20:08:27.6159565Z * [new tag] v1.4.1 -> v1.4.1 2025-08-26T20:08:27.6159837Z * [new tag] v1.5.0 -> v1.5.0 2025-08-26T20:08:27.6160164Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-26T20:08:27.6160461Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-26T20:08:27.6160742Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-26T20:08:27.6161027Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-26T20:08:27.6161310Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-26T20:08:27.6161597Z * [new tag] v1.5.1 -> v1.5.1 2025-08-26T20:08:27.6161871Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-26T20:08:27.6162152Z * [new tag] v1.6.0 -> v1.6.0 2025-08-26T20:08:27.6162427Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-26T20:08:27.6162872Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-26T20:08:27.6163160Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-26T20:08:27.6163451Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-26T20:08:27.6163741Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-26T20:08:27.6164016Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-26T20:08:27.6164377Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-26T20:08:27.6164652Z * [new tag] v1.7.0 -> v1.7.0 2025-08-26T20:08:27.6164913Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-26T20:08:27.6165181Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-26T20:08:27.6165449Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-26T20:08:27.6165718Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-26T20:08:27.6165982Z * [new tag] v1.7.1 -> v1.7.1 2025-08-26T20:08:27.6166250Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-26T20:08:27.6166532Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-26T20:08:27.6166809Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-26T20:08:27.6167183Z * [new tag] v1.8.0 -> v1.8.0 2025-08-26T20:08:27.6167449Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-26T20:08:27.6167786Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-26T20:08:27.6168065Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-26T20:08:27.6168347Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-26T20:08:27.6168619Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-26T20:08:27.6168883Z * [new tag] v1.8.1 -> v1.8.1 2025-08-26T20:08:27.6169288Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-26T20:08:27.6169571Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-26T20:08:27.6169852Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-26T20:08:27.6170544Z * [new tag] v1.8.2 -> v1.8.2 2025-08-26T20:08:27.6171129Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-26T20:08:27.6171506Z * [new tag] v1.9.0 -> v1.9.0 2025-08-26T20:08:27.6172192Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-26T20:08:27.6172901Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-26T20:08:27.6173535Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-26T20:08:27.6174000Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-26T20:08:27.6174794Z * [new tag] v1.9.1 -> v1.9.1 2025-08-26T20:08:27.6175978Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-26T20:08:27.6176265Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-26T20:08:27.6176547Z * [new tag] v2.0.0 -> v2.0.0 2025-08-26T20:08:27.6177185Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-26T20:08:27.6177872Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-26T20:08:27.6178500Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-26T20:08:27.6178949Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-26T20:08:27.6179890Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-26T20:08:27.6180206Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-26T20:08:27.6180880Z * [new tag] v2.0.1 -> v2.0.1 2025-08-26T20:08:27.6181560Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-26T20:08:27.6182036Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-26T20:08:27.6182577Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-26T20:08:27.6183113Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-26T20:08:27.6184361Z * [new tag] v2.1.0 -> v2.1.0 2025-08-26T20:08:27.6184650Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-26T20:08:27.6185377Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-26T20:08:27.6186002Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-26T20:08:27.6188071Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-26T20:08:27.6188437Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-26T20:08:27.6188782Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-26T20:08:27.6189112Z * [new tag] v2.1.1 -> v2.1.1 2025-08-26T20:08:27.6189817Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-26T20:08:27.6190407Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-26T20:08:27.6190726Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-26T20:08:27.6192211Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-26T20:08:27.6192517Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-26T20:08:27.6192804Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-26T20:08:27.6194111Z * [new tag] v2.1.2 -> v2.1.2 2025-08-26T20:08:27.6194417Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-26T20:08:27.6194705Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-26T20:08:27.6194998Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-26T20:08:27.6195318Z * [new tag] v2.2.0 -> v2.2.0 2025-08-26T20:08:27.6196003Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-26T20:08:27.6197412Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-26T20:08:27.6197716Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-26T20:08:27.6198004Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-26T20:08:27.6199980Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-26T20:08:27.6212729Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-26T20:08:27.6213084Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-26T20:08:27.6213402Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-26T20:08:27.6213754Z * [new tag] v2.2.1 -> v2.2.1 2025-08-26T20:08:27.6214040Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-26T20:08:27.6214332Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-26T20:08:27.6214610Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-26T20:08:27.6214898Z * [new tag] v2.2.2 -> v2.2.2 2025-08-26T20:08:27.6215206Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-26T20:08:27.6215483Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-26T20:08:27.6215769Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-26T20:08:27.6216050Z * [new tag] v2.3.0 -> v2.3.0 2025-08-26T20:08:27.6216489Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-26T20:08:27.6216786Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-26T20:08:27.6217081Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-26T20:08:27.6217363Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-26T20:08:27.6217654Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-26T20:08:27.6217943Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-26T20:08:27.6219910Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-26T20:08:27.6220207Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-26T20:08:27.6220485Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-26T20:08:27.6220780Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-26T20:08:27.6221055Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-26T20:08:27.6221319Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-26T20:08:27.6221592Z * [new tag] v2.3.1 -> v2.3.1 2025-08-26T20:08:27.6221868Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-26T20:08:27.6222140Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-26T20:08:27.6222411Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-26T20:08:27.6222828Z * [new tag] v2.4.0 -> v2.4.0 2025-08-26T20:08:27.6223107Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-26T20:08:27.6223385Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-26T20:08:27.6223661Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-26T20:08:27.6223982Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-26T20:08:27.6224262Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-26T20:08:27.6224535Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-26T20:08:27.6224808Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-26T20:08:27.6225080Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-26T20:08:27.6225356Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-26T20:08:27.6225627Z * [new tag] v2.4.1 -> v2.4.1 2025-08-26T20:08:27.6225901Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-26T20:08:27.6226171Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-26T20:08:27.6226435Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-26T20:08:27.6226706Z * [new tag] v2.5.0 -> v2.5.0 2025-08-26T20:08:27.6226975Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-26T20:08:27.6227252Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-26T20:08:27.6227532Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-26T20:08:27.6227796Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-26T20:08:27.6228130Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-26T20:08:27.6228679Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-26T20:08:27.6231717Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-26T20:08:27.6232068Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-26T20:08:27.6232376Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-26T20:08:27.6232650Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-26T20:08:27.6233178Z * [new tag] v2.5.1 -> v2.5.1 2025-08-26T20:08:27.6233462Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-26T20:08:27.6233740Z * [new tag] v2.6.0 -> v2.6.0 2025-08-26T20:08:27.6234016Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-26T20:08:27.6234295Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-26T20:08:27.6237515Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-26T20:08:27.6237815Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-26T20:08:27.6238091Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-26T20:08:27.6238357Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-26T20:08:27.6238631Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-26T20:08:27.6238908Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-26T20:08:27.6239283Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-26T20:08:27.6240016Z * [new tag] v2.7.0 -> v2.7.0 2025-08-26T20:08:27.6240398Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-26T20:08:27.6244034Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-26T20:08:27.6244394Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-26T20:08:27.6244932Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-26T20:08:27.6245219Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-26T20:08:27.6246064Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-26T20:08:27.6246412Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-26T20:08:27.6246700Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-26T20:08:27.6251791Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-26T20:08:27.6252143Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-26T20:08:27.6252453Z * [new tag] v2.7.1 -> v2.7.1 2025-08-26T20:08:27.6252749Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-26T20:08:27.6253041Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-26T20:08:27.6253322Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-26T20:08:27.6253628Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-26T20:08:27.6253904Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-26T20:08:27.6254170Z * [new tag] v2.8.0 -> v2.8.0 2025-08-26T20:08:27.6254442Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-26T20:08:27.6254722Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-26T20:08:27.6254993Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-26T20:08:27.6255269Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-26T20:08:27.6255535Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-26T20:08:27.6255807Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-26T20:08:27.6256078Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-26T20:08:27.6256354Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-26T20:08:27.6256649Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-26T20:08:27.6256970Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-26T20:08:27.6257916Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-26T20:08:27.6757169Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object} 2025-08-26T20:08:27.6781436Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:08:27.6785319Z ##[endgroup] 2025-08-26T20:08:27.6785706Z ##[group]Determining the checkout info 2025-08-26T20:08:27.6787392Z ##[endgroup] 2025-08-26T20:08:27.6790605Z [command]/usr/bin/git sparse-checkout disable 2025-08-26T20:08:27.6833779Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-26T20:08:27.6861890Z ##[group]Checking out the ref 2025-08-26T20:08:27.6869116Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:08:28.7159930Z Updating files: 94% (18318/19395) 2025-08-26T20:08:28.7319854Z Updating files: 95% (18426/19395) 2025-08-26T20:08:28.7449859Z Updating files: 96% (18620/19395) 2025-08-26T20:08:28.7617148Z Updating files: 97% (18814/19395) 2025-08-26T20:08:28.7846289Z Updating files: 98% (19008/19395) 2025-08-26T20:08:28.7984518Z Updating files: 99% (19202/19395) 2025-08-26T20:08:28.7985073Z Updating files: 100% (19395/19395) 2025-08-26T20:08:28.7986105Z Updating files: 100% (19395/19395), done. 2025-08-26T20:08:28.8233123Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'. 2025-08-26T20:08:28.8233408Z 2025-08-26T20:08:28.8233582Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-26T20:08:28.8233976Z changes and commit them, and you can discard any commits you make in this 2025-08-26T20:08:28.8234364Z state without impacting any branches by switching back to a branch. 2025-08-26T20:08:28.8234584Z 2025-08-26T20:08:28.8235108Z If you want to create a new branch to retain commits you create, you may 2025-08-26T20:08:28.8235477Z do so (now or later) by using -c with the switch command. Example: 2025-08-26T20:08:28.8235677Z 2025-08-26T20:08:28.8235778Z git switch -c 2025-08-26T20:08:28.8235937Z 2025-08-26T20:08:28.8236028Z Or undo this operation with: 2025-08-26T20:08:28.8236184Z 2025-08-26T20:08:28.8236262Z git switch - 2025-08-26T20:08:28.8236371Z 2025-08-26T20:08:28.8236553Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-26T20:08:28.8236789Z 2025-08-26T20:08:28.8236966Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519) 2025-08-26T20:08:28.8287133Z ##[endgroup] 2025-08-26T20:08:28.8287555Z ##[group]Setting up auth for fetching submodules 2025-08-26T20:08:28.8292152Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T20:08:28.8353091Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-26T20:08:28.8380025Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-26T20:08:28.8410942Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-26T20:08:28.8437630Z ##[endgroup] 2025-08-26T20:08:28.8438178Z ##[group]Fetching submodules 2025-08-26T20:08:28.8440954Z [command]/usr/bin/git submodule sync --recursive 2025-08-26T20:08:28.8774825Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-26T20:08:28.9088467Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-26T20:08:28.9466220Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-26T20:08:28.9466974Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-26T20:08:28.9467640Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-26T20:08:28.9469194Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-26T20:08:28.9485845Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-26T20:08:28.9487758Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-26T20:08:28.9491901Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-26T20:08:28.9492891Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-26T20:08:28.9494771Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-26T20:08:28.9512328Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-26T20:08:28.9516052Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-26T20:08:28.9517472Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-26T20:08:28.9519471Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-26T20:08:28.9537056Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-26T20:08:28.9539810Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-26T20:08:28.9542435Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-26T20:08:28.9546701Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-26T20:08:28.9548807Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:08:28.9567690Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-26T20:08:28.9572564Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-26T20:08:28.9573282Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-26T20:08:28.9578993Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-26T20:08:28.9595308Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-26T20:08:28.9596830Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-26T20:08:28.9600321Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-26T20:08:28.9603135Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-26T20:08:28.9606137Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-26T20:08:28.9624245Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-26T20:08:28.9627598Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-26T20:08:28.9631054Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-26T20:08:28.9634789Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-26T20:08:28.9654809Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-26T20:08:28.9660934Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-26T20:08:28.9665138Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-26T20:08:28.9666373Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-26T20:08:28.9671734Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-26T20:08:28.9714643Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-26T20:08:29.2250508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-26T20:08:29.2251359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-26T20:08:29.2252177Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-26T20:08:29.2252952Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-26T20:08:29.2253759Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-26T20:08:29.3251162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-26T20:08:29.4062582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-26T20:08:29.4064103Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-26T20:08:29.4285057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-26T20:08:30.7075132Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-26T20:08:30.7076579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-26T20:08:30.7077659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-26T20:08:30.7078689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-26T20:08:30.7079590Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-26T20:08:30.7080591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-26T20:08:30.7081578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-26T20:08:30.7082629Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-26T20:08:30.7083613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-26T20:08:30.7085242Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-26T20:08:30.7085860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-26T20:08:30.7086408Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-26T20:08:30.7086899Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-26T20:08:30.8083999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-26T20:08:31.0061033Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-26T20:08:31.0061781Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-26T20:08:31.0410073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-26T20:08:44.2198199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-26T20:08:44.2199074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-26T20:08:44.2199581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-26T20:08:44.2200046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-26T20:08:44.2200621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-26T20:08:44.2201139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-26T20:08:44.2201659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-26T20:08:44.2202157Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-26T20:08:44.2202654Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-26T20:08:44.2203135Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-26T20:08:44.2351235Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-26T20:08:44.2475716Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-26T20:08:44.2575820Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-26T20:08:44.2802479Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-26T20:08:44.3561948Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-26T20:08:44.4075438Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-26T20:08:45.0065026Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-26T20:08:45.1483046Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-26T20:08:45.1504310Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:08:45.1533953Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-26T20:08:49.2023794Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-26T20:08:49.2251332Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-26T20:08:49.5041673Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-26T20:08:49.5547120Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-26T20:08:49.6500636Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-26T20:08:49.6940573Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-26T20:08:50.2710666Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-26T20:08:50.3975953Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-26T20:08:50.3995715Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-26T20:08:50.3999769Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:08:50.4000569Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:08:50.4001227Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-26T20:08:50.4001910Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-26T20:08:50.4003037Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:08:50.4004552Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-26T20:08:50.4034948Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-26T20:08:51.7184859Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-26T20:08:51.7185628Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-26T20:08:51.7261024Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-26T20:08:51.8261811Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-26T20:08:52.6471957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-26T20:08:52.7472524Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-26T20:08:57.2282583Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-26T20:08:57.4462904Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-26T20:08:57.5444737Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-26T20:08:58.1060535Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-26T20:08:58.1499125Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T20:08:58.1622297Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-26T20:08:58.2597805Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-26T20:08:58.3242739Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-26T20:08:58.3262778Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:08:58.3263662Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:08:58.3294879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-26T20:09:02.2691006Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-26T20:09:02.4736181Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-26T20:09:02.9892569Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-26T20:09:03.1102478Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-26T20:09:03.1436258Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-26T20:09:03.3255123Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-26T20:09:03.3491683Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-26T20:09:03.3963707Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T20:09:03.4103111Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-26T20:09:03.4120026Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-26T20:09:03.4146211Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-26T20:09:16.2909703Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-26T20:09:16.3102500Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-26T20:09:16.4048370Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-26T20:09:16.4068641Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:09:16.4069484Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:09:16.4070332Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:09:16.4098900Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-26T20:09:17.0728574Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-26T20:09:17.7739816Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-26T20:09:17.8511583Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-26T20:09:17.8529579Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:09:17.8530691Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:09:17.8534227Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:09:17.8535087Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:09:17.8535959Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:09:17.8537340Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:09:17.8539600Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 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'/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-26T20:09:19.3211160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-26T20:09:19.3361822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-26T20:09:19.4363606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-26T20:09:25.2345467Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-26T20:09:25.2518347Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-26T20:09:25.2869617Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-26T20:09:25.3010105Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-26T20:09:25.3026129Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:09:25.3055371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-26T20:09:25.5789671Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-26T20:09:25.5977882Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-26T20:09:25.6385455Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-26T20:09:25.7340771Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-26T20:09:25.7513612Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-26T20:09:25.7896890Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-26T20:09:25.8472102Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-26T20:09:25.8899938Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-26T20:09:25.9271063Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-26T20:09:26.0339038Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-26T20:09:26.3556627Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-26T20:09:26.3591053Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-26T20:09:26.3619069Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-26T20:09:27.3820407Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-26T20:09:27.4431806Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-26T20:09:27.4451443Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:09:27.4452285Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:09:27.4453371Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:09:27.4457568Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:09:27.4458531Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:09:27.4459474Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:09:27.4460565Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:09:27.4464500Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:09:27.4490188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-26T20:09:27.8868529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-26T20:09:27.8869298Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-26T20:09:27.8870327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-26T20:09:27.8871106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-26T20:09:27.9870673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-26T20:09:28.6474872Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-26T20:09:34.4103445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-26T20:09:36.1320811Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-26T20:09:36.1714316Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-26T20:09:36.1891565Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out 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Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-26T20:09:41.5087178Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-26T20:09:41.5243662Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-26T20:09:41.5952173Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-26T20:09:41.6239950Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-08-26T20:09:41.6256939Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:09:41.6285518Z Cloning into 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2025-08-26T20:09:42.7171735Z [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" 2025-08-26T20:09:42.7494018Z Entering 'android/libs/fbjni' 2025-08-26T20:09:42.7547529Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-26T20:09:42.7563633Z Entering 'third_party/FP16' 2025-08-26T20:09:42.7617298Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-26T20:09:42.7635842Z Entering 'third_party/FXdiv' 2025-08-26T20:09:42.7689747Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-26T20:09:42.7705711Z Entering 'third_party/NNPACK' 2025-08-26T20:09:42.7759893Z 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2025-08-26T20:09:43.6178456Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:09:43.6220609Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:09:43.6261183Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:09:43.6304765Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:09:43.6346755Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:09:43.6388202Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:09:43.6433607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:09:43.6481048Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:09:43.6523905Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:09:43.6569380Z Entering 'third_party/kleidiai' 2025-08-26T20:09:43.6613158Z Entering 'third_party/mimalloc' 2025-08-26T20:09:43.6661743Z Entering 'third_party/nlohmann' 2025-08-26T20:09:43.6705222Z Entering 'third_party/onnx' 2025-08-26T20:09:43.6761543Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T20:09:43.6806570Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T20:09:43.6849940Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:09:43.6892578Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:09:43.6934255Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:09:43.6978302Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:09:43.7026637Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:09:43.7062060Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:09:43.7104333Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:09:43.7142754Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:09:43.7186508Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:09:43.7229532Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:09:43.7288084Z Entering 'third_party/pocketfft' 2025-08-26T20:09:43.7331433Z Entering 'third_party/protobuf' 2025-08-26T20:09:43.7375594Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:09:43.7415883Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T20:09:43.7458868Z Entering 'third_party/psimd' 2025-08-26T20:09:43.7506290Z Entering 'third_party/pthreadpool' 2025-08-26T20:09:43.7548674Z Entering 'third_party/pybind11' 2025-08-26T20:09:43.7589820Z Entering 'third_party/python-peachpy' 2025-08-26T20:09:43.7633031Z Entering 'third_party/sleef' 2025-08-26T20:09:43.7675612Z Entering 'third_party/tensorpipe' 2025-08-26T20:09:43.7717262Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:09:43.7760344Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:09:43.7801692Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:09:43.7844592Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:09:43.7883635Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:09:43.7957937Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-26T20:09:43.8278184Z Entering 'android/libs/fbjni' 2025-08-26T20:09:43.8318846Z Entering 'third_party/FP16' 2025-08-26T20:09:43.8361492Z Entering 'third_party/FXdiv' 2025-08-26T20:09:43.8403800Z Entering 'third_party/NNPACK' 2025-08-26T20:09:43.8447129Z Entering 'third_party/NVTX' 2025-08-26T20:09:43.8491060Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:09:43.8535213Z Entering 'third_party/XNNPACK' 2025-08-26T20:09:43.8589264Z Entering 'third_party/aiter' 2025-08-26T20:09:43.8660158Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:09:43.8711151Z Entering 'third_party/benchmark' 2025-08-26T20:09:43.8757422Z Entering 'third_party/composable_kernel' 2025-08-26T20:09:43.8806477Z Entering 'third_party/cpp-httplib' 2025-08-26T20:09:43.8849592Z Entering 'third_party/cpuinfo' 2025-08-26T20:09:43.8892523Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:09:43.8935942Z Entering 'third_party/cutlass' 2025-08-26T20:09:43.8985333Z Entering 'third_party/fbgemm' 2025-08-26T20:09:43.9030058Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:09:43.9071389Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:09:43.9119970Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:09:43.9171627Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:09:43.9220992Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:09:43.9265024Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:09:43.9305449Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:09:43.9351890Z Entering 'third_party/flash-attention' 2025-08-26T20:09:43.9396115Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:09:43.9444579Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:09:43.9495511Z Entering 'third_party/flatbuffers' 2025-08-26T20:09:43.9541763Z Entering 'third_party/fmt' 2025-08-26T20:09:43.9583862Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:09:43.9625852Z Entering 'third_party/gloo' 2025-08-26T20:09:43.9670407Z Entering 'third_party/googletest' 2025-08-26T20:09:43.9712179Z Entering 'third_party/ideep' 2025-08-26T20:09:43.9757205Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T20:09:43.9806862Z Entering 'third_party/ittapi' 2025-08-26T20:09:43.9851262Z Entering 'third_party/kineto' 2025-08-26T20:09:43.9890411Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:09:43.9932015Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:09:43.9978022Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:09:44.0019429Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:09:44.0061319Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:09:44.0101779Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:09:44.0147125Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:09:44.0189031Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:09:44.0231697Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:09:44.0278822Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:09:44.0323264Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:09:44.0368464Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:09:44.0417269Z Entering 'third_party/kleidiai' 2025-08-26T20:09:44.0462605Z Entering 'third_party/mimalloc' 2025-08-26T20:09:44.0506512Z Entering 'third_party/nlohmann' 2025-08-26T20:09:44.0550031Z Entering 'third_party/onnx' 2025-08-26T20:09:44.0606021Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T20:09:44.0655559Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T20:09:44.0700167Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:09:44.0741682Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:09:44.0783527Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:09:44.0825094Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:09:44.0870286Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:09:44.0910819Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:09:44.0952710Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:09:44.0994189Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:09:44.1037378Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:09:44.1081005Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:09:44.1140311Z Entering 'third_party/pocketfft' 2025-08-26T20:09:44.1182794Z Entering 'third_party/protobuf' 2025-08-26T20:09:44.1228475Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:09:44.1278571Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T20:09:44.1324962Z Entering 'third_party/psimd' 2025-08-26T20:09:44.1368208Z Entering 'third_party/pthreadpool' 2025-08-26T20:09:44.1409700Z Entering 'third_party/pybind11' 2025-08-26T20:09:44.1453394Z Entering 'third_party/python-peachpy' 2025-08-26T20:09:44.1496061Z Entering 'third_party/sleef' 2025-08-26T20:09:44.1542666Z Entering 'third_party/tensorpipe' 2025-08-26T20:09:44.1585015Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:09:44.1627232Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:09:44.1669595Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:09:44.1710798Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:09:44.1751400Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:09:44.1813377Z ##[endgroup] 2025-08-26T20:09:44.1848627Z [command]/usr/bin/git log -1 --format=%H 2025-08-26T20:09:44.1875710Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:09:44.2041609Z Prepare all required actions 2025-08-26T20:09:44.2042231Z Getting action download info 2025-08-26T20:09:44.3298781Z ##[group]Run ./.github/actions/setup-linux 2025-08-26T20:09:44.3299056Z env: 2025-08-26T20:09:44.3299248Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:44.3299452Z ##[endgroup] 2025-08-26T20:09:44.3344624Z ##[group]Run set -euo pipefail 2025-08-26T20:09:44.3344929Z set -euo pipefail 2025-08-26T20:09:44.3345155Z function get_ec2_metadata() { 2025-08-26T20:09:44.3345433Z  # Pulled from instance metadata endpoint for EC2 2025-08-26T20:09:44.3345888Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-26T20:09:44.3346282Z  category=$1 2025-08-26T20:09:44.3346555Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-26T20:09:44.3346876Z  runner_name_str=i-073caa4447498af62 2025-08-26T20:09:44.3347192Z  if [[ -f /.inarc ]]; then 2025-08-26T20:09:44.3347461Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-26T20:09:44.3347736Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-26T20:09:44.3348065Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-26T20:09:44.3348364Z  else 2025-08-26T20:09:44.3348948Z  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}" 2025-08-26T20:09:44.3349540Z  fi 2025-08-26T20:09:44.3349705Z } 2025-08-26T20:09:44.3349916Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-26T20:09:44.3350227Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-26T20:09:44.3350568Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-26T20:09:44.3350851Z echo "system info $(uname -a)" 2025-08-26T20:09:44.3359773Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:44.3360056Z env: 2025-08-26T20:09:44.3360237Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:44.3360436Z ##[endgroup] 2025-08-26T20:09:44.3509386Z ami-id: ami-05ffe3c48a9991133 2025-08-26T20:09:44.3616077Z instance-id: i-073caa4447498af62 2025-08-26T20:09:44.3727754Z instance-type: m7i-flex.8xlarge 2025-08-26T20:09:44.3741119Z system info Linux ip-10-0-50-60.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-26T20:09:44.3769135Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:09:44.3769798Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:09:44.3776032Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:44.3776323Z env: 2025-08-26T20:09:44.3776497Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:44.3776698Z ##[endgroup] 2025-08-26T20:09:44.3833192Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-26T20:09:44.3833568Z if systemctl is-active --quiet docker; then 2025-08-26T20:09:44.3833856Z  echo "Docker daemon is running..."; 2025-08-26T20:09:44.3834098Z else 2025-08-26T20:09:44.3834362Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-26T20:09:44.3834660Z fi 2025-08-26T20:09:44.3839713Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:44.3840115Z env: 2025-08-26T20:09:44.3840299Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:44.3840507Z ##[endgroup] 2025-08-26T20:09:44.3923915Z Docker daemon is running... 2025-08-26T20:09:44.3967643Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T20:09:44.3967904Z with: 2025-08-26T20:09:44.3968078Z shell: bash 2025-08-26T20:09:44.3968420Z timeout_minutes: 5 2025-08-26T20:09:44.3968615Z max_attempts: 3 2025-08-26T20:09:44.3968816Z retry_wait_seconds: 30 2025-08-26T20:09:44.3970367Z command: AWS_ACCOUNT_ID=$(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 2025-08-26T20:09:44.3971854Z polling_interval_seconds: 1 2025-08-26T20:09:44.3972091Z warning_on_retry: true 2025-08-26T20:09:44.3972295Z continue_on_error: false 2025-08-26T20:09:44.3972500Z env: 2025-08-26T20:09:44.3972670Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:44.3972878Z AWS_RETRY_MODE: standard 2025-08-26T20:09:44.3973085Z AWS_MAX_ATTEMPTS: 5 2025-08-26T20:09:44.3973289Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:09:44.3973497Z ##[endgroup] 2025-08-26T20:09:45.5365448Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T20:09:45.5365934Z Configure a credential helper to remove this warning. See 2025-08-26T20:09:45.5366361Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T20:09:45.5366626Z 2025-08-26T20:09:45.5366712Z Login Succeeded 2025-08-26T20:09:45.5437904Z Command completed after 1 attempt(s). 2025-08-26T20:09:45.5514361Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:09:45.5514781Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:09:45.5515130Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:09:45.5521107Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:45.5521376Z env: 2025-08-26T20:09:45.5521563Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:45.5521769Z ##[endgroup] 2025-08-26T20:09:45.5605163Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T20:09:45.5605598Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T20:09:45.5605908Z # shellcheck disable=SC2046 2025-08-26T20:09:45.5606162Z docker stop $(docker ps -q) || true 2025-08-26T20:09:45.5606442Z # Prune all of the docker images 2025-08-26T20:09:45.5606728Z docker system prune -af 2025-08-26T20:09:45.5612471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:45.5612749Z env: 2025-08-26T20:09:45.5612935Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:45.5613168Z ##[endgroup] 2025-08-26T20:09:45.6155471Z "docker stop" requires at least 1 argument. 2025-08-26T20:09:45.6155825Z See 'docker stop --help'. 2025-08-26T20:09:45.6156004Z 2025-08-26T20:09:45.6156141Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-26T20:09:45.6156332Z 2025-08-26T20:09:45.6156436Z Stop one or more running containers 2025-08-26T20:09:45.6376922Z Total reclaimed space: 0B 2025-08-26T20:09:45.6414408Z ##[group]Run set +e 2025-08-26T20:09:45.6414654Z set +e 2025-08-26T20:09:45.6414846Z set -x 2025-08-26T20:09:45.6415024Z  2025-08-26T20:09:45.6415223Z PT_DOMAIN=download.pytorch.org 2025-08-26T20:09:45.6415629Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-26T20:09:45.6416129Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-26T20:09:45.6416484Z # one is returned at random 2025-08-26T20:09:45.6416917Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-26T20:09:45.6417184Z  2025-08-26T20:09:45.6417486Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-26T20:09:45.6417803Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-26T20:09:45.6418168Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-26T20:09:45.6418446Z  2025-08-26T20:09:45.6418627Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-26T20:09:45.6418911Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-26T20:09:45.6419174Z  exit 1 2025-08-26T20:09:45.6419356Z  fi 2025-08-26T20:09:45.6419519Z fi 2025-08-26T20:09:45.6419686Z  2025-08-26T20:09:45.6419885Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-26T20:09:45.6420152Z  # Clean up any old records first 2025-08-26T20:09:45.6420407Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-26T20:09:45.6420652Z fi 2025-08-26T20:09:45.6420814Z  2025-08-26T20:09:45.6421050Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-26T20:09:45.6421326Z cat /etc/hosts 2025-08-26T20:09:45.6426346Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:45.6426621Z env: 2025-08-26T20:09:45.6426806Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:45.6427003Z ##[endgroup] 2025-08-26T20:09:45.6450887Z + PT_DOMAIN=download.pytorch.org 2025-08-26T20:09:45.6456996Z ++ dig -4 +short download.pytorch.org 2025-08-26T20:09:45.6457799Z ++ tail -n1 2025-08-26T20:09:45.6888508Z + RESOLVED_IP=18.160.10.76 2025-08-26T20:09:45.6891127Z + '[' -z 18.160.10.76 ']' 2025-08-26T20:09:45.6891382Z + grep -r download.pytorch.org /etc/hosts 2025-08-26T20:09:45.6908610Z + echo '18.160.10.76 download.pytorch.org' 2025-08-26T20:09:45.6908938Z + sudo tee -a /etc/hosts 2025-08-26T20:09:45.9664488Z 18.160.10.76 download.pytorch.org 2025-08-26T20:09:45.9686159Z + cat /etc/hosts 2025-08-26T20:09:45.9697116Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-26T20:09:45.9703141Z ::1 localhost6 localhost6.localdomain6 2025-08-26T20:09:45.9703454Z 18.160.10.76 download.pytorch.org 2025-08-26T20:09:45.9833611Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-26T20:09:45.9833972Z with: 2025-08-26T20:09:45.9834574Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:45.9835230Z use-custom-docker-registry: true 2025-08-26T20:09:45.9835475Z docker-build-dir: .ci/docker 2025-08-26T20:09:45.9835713Z docker-build-script: ./build.sh 2025-08-26T20:09:45.9835946Z working-directory: . 2025-08-26T20:09:45.9836212Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:45.9836499Z force-push: false 2025-08-26T20:09:45.9836703Z env: 2025-08-26T20:09:45.9836883Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:45.9837090Z ##[endgroup] 2025-08-26T20:09:45.9858536Z ##[group]Run set -ex 2025-08-26T20:09:45.9858801Z set -ex 2025-08-26T20:09:45.9858982Z  2025-08-26T20:09:45.9859320Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-26T20:09:45.9859774Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-26T20:09:45.9860158Z # job could then download the pre-built image as usual 2025-08-26T20:09:45.9860626Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-26T20:09:45.9861057Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9861299Z else 2025-08-26T20:09:45.9861504Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9861817Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9862224Z  2025-08-26T20:09:45.9862606Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-26T20:09:45.9863029Z  exit 0 2025-08-26T20:09:45.9863197Z fi 2025-08-26T20:09:45.9863372Z  2025-08-26T20:09:45.9863628Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-26T20:09:45.9864036Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-26T20:09:45.9864408Z  # use it as it is, but first let's extract the tag 2025-08-26T20:09:45.9864734Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-26T20:09:45.9865083Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9865417Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9865702Z else 2025-08-26T20:09:45.9865909Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-26T20:09:45.9866180Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-26T20:09:45.9866465Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-26T20:09:45.9866705Z  fi 2025-08-26T20:09:45.9867022Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-26T20:09:45.9867425Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9867852Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9868312Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9868607Z fi 2025-08-26T20:09:45.9877514Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:45.9877804Z env: 2025-08-26T20:09:45.9877990Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:45.9878204Z REPO_NAME: pytorch 2025-08-26T20:09:45.9878935Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:45.9879563Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T20:09:45.9879822Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-26T20:09:45.9880112Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:45.9880410Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-26T20:09:45.9880643Z CUSTOM_TAG_PREFIX: 2025-08-26T20:09:45.9880829Z ##[endgroup] 2025-08-26T20:09:45.9909332Z + [[ -d .ci/docker ]] 2025-08-26T20:09:45.9909641Z + [[ -f .ci/docker/./build.sh ]] 2025-08-26T20:09:45.9910213Z + [[ true == \t\r\u\e ]] 2025-08-26T20:09:45.9910477Z + echo skip=false 2025-08-26T20:09:45.9911261Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\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* ]] 2025-08-26T20:09:45.9916395Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:45.9917012Z ++ awk -F '[:,]' '{print $2}' 2025-08-26T20:09:45.9941697Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:45.9942644Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:45.9952040Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:45.9978759Z ##[group]Run set +e 2025-08-26T20:09:45.9979017Z set +e 2025-08-26T20:09:45.9979337Z set -x 2025-08-26T20:09:45.9979513Z  2025-08-26T20:09:45.9979679Z login() { 2025-08-26T20:09:45.9980038Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T20:09:45.9980409Z } 2025-08-26T20:09:45.9980574Z  2025-08-26T20:09:45.9980731Z retry () { 2025-08-26T20:09:45.9981016Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T20:09:45.9981251Z } 2025-08-26T20:09:45.9981416Z  2025-08-26T20:09:45.9981591Z retry login "${DOCKER_REGISTRY}" 2025-08-26T20:09:45.9981817Z  2025-08-26T20:09:45.9981990Z START_TIME=$(date +%s) 2025-08-26T20:09:45.9982220Z # Wait up to 120 minutes 2025-08-26T20:09:45.9982495Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-26T20:09:45.9982830Z  # Check if image already exists, if it does then skip building it 2025-08-26T20:09:45.9983178Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-26T20:09:45.9983466Z  exit 0 2025-08-26T20:09:45.9983646Z  fi 2025-08-26T20:09:45.9983806Z  2025-08-26T20:09:45.9984086Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-26T20:09:45.9984534Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-26T20:09:45.9984964Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-26T20:09:45.9985325Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-26T20:09:45.9985606Z  # It's a Docker build job, let's build the image 2025-08-26T20:09:45.9985851Z  break 2025-08-26T20:09:45.9986033Z  else 2025-08-26T20:09:45.9986285Z  # It's a regular build job, wait for the image to become available 2025-08-26T20:09:45.9986570Z  sleep 300 2025-08-26T20:09:45.9986760Z  fi 2025-08-26T20:09:45.9986932Z done 2025-08-26T20:09:45.9987099Z  2025-08-26T20:09:45.9987349Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-26T20:09:45.9987858Z # be empty. The default action would be to continue rebuild the image 2025-08-26T20:09:45.9988223Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-26T20:09:45.9988544Z  # if we're on the base branch then use the parent commit 2025-08-26T20:09:45.9988833Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-26T20:09:45.9989054Z else 2025-08-26T20:09:45.9989297Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-26T20:09:45.9989629Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-26T20:09:45.9989887Z fi 2025-08-26T20:09:45.9990049Z  2025-08-26T20:09:45.9990236Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-26T20:09:45.9990503Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:45.9990741Z  2025-08-26T20:09:45.9991060Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-26T20:09:45.9991424Z  exit 0 2025-08-26T20:09:45.9991600Z fi 2025-08-26T20:09:45.9991761Z  2025-08-26T20:09:45.9991988Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-26T20:09:45.9992430Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-26T20:09:45.9992812Z  exit 1 2025-08-26T20:09:45.9992988Z fi 2025-08-26T20:09:45.9993150Z  2025-08-26T20:09:45.9993407Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-26T20:09:45.9993847Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-26T20:09:45.9994307Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-26T20:09:45.9994764Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-26T20:09:45.9995269Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-26T20:09:45.9995588Z fi 2025-08-26T20:09:45.9995756Z  2025-08-26T20:09:45.9995956Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T20:09:46.0001894Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:46.0002172Z env: 2025-08-26T20:09:46.0002344Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:46.0002561Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T20:09:46.0002826Z BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:09:46.0003471Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:46.0004273Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:46.0004782Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:46.0005063Z DOCKER_PUSH: 2025-08-26T20:09:46.0005247Z ##[endgroup] 2025-08-26T20:09:46.0030136Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:46.0030749Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:46.0034869Z + aws ecr get-login-password --region us-east-1 2025-08-26T20:09:46.0037100Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:46.5056152Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T20:09:46.5056542Z Login Succeeded 2025-08-26T20:09:46.5056809Z Configure a credential helper to remove this warning. See 2025-08-26T20:09:46.5057254Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T20:09:46.5057572Z 2025-08-26T20:09:46.5072398Z ++ date +%s 2025-08-26T20:09:46.5081997Z + START_TIME=1756238986 2025-08-26T20:09:46.5085263Z ++ date +%s 2025-08-26T20:09:46.5096731Z + [[ 1756231786 -lt 1756238986 ]] 2025-08-26T20:09:46.5099170Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:46.7475376Z { 2025-08-26T20:09:46.7475696Z "schemaVersion": 2, 2025-08-26T20:09:46.7476063Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-26T20:09:46.7476407Z "config": { 2025-08-26T20:09:46.7476669Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-26T20:09:46.7476958Z "size": 30011, 2025-08-26T20:09:46.7477313Z "digest": 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"sha256:bf05e37245a2b1f993edf59c7d829c700ba42dde0686edb2dc0b990fe7a97573" 2025-08-26T20:09:46.7577785Z }, 2025-08-26T20:09:46.7577938Z { 2025-08-26T20:09:46.7578168Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:09:46.7578454Z "size": 32, 2025-08-26T20:09:46.7578735Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-26T20:09:46.7579052Z } 2025-08-26T20:09:46.7579200Z ] 2025-08-26T20:09:46.7579354Z } 2025-08-26T20:09:46.7579539Z + exit 0 2025-08-26T20:09:46.7615770Z ##[group]Run set -eux 2025-08-26T20:09:46.7616187Z set -eux 2025-08-26T20:09:46.7616669Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-08-26T20:09:46.7618850Z 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 2025-08-26T20:09:46.7626545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:46.7626958Z env: 2025-08-26T20:09:46.7627146Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:46.7627361Z ##[endgroup] 2025-08-26T20:09:46.7677899Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-26T20:09:46.7678297Z + jq --raw-output .SecretString 2025-08-26T20:09:46.7678535Z + jq -r .docker_hub_readonly_token 2025-08-26T20:09:46.7678822Z + docker login --username pytorchbot --password-stdin 2025-08-26T20:09:47.3046479Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T20:09:47.3047466Z Configure a credential helper to remove this warning. See 2025-08-26T20:09:47.3047897Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T20:09:47.3048169Z 2025-08-26T20:09:47.3048258Z Login Succeeded 2025-08-26T20:09:47.3128553Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-26T20:09:47.3128862Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-26T20:09:47.3129155Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-26T20:09:47.3134531Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:47.3134808Z env: 2025-08-26T20:09:47.3134991Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:47.3135606Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:47.3136207Z ##[endgroup] 2025-08-26T20:09:47.3161805Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:47.3204634Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-26T20:09:47.3204962Z with: 2025-08-26T20:09:47.3205541Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:47.3206216Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:47.3206517Z env: 2025-08-26T20:09:47.3206692Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:47.3207410Z ##[endgroup] 2025-08-26T20:09:47.3226975Z ##[group]Run set -x 2025-08-26T20:09:47.3227215Z set -x 2025-08-26T20:09:47.3227397Z set +e 2025-08-26T20:09:47.3227573Z  2025-08-26T20:09:47.3227745Z login() { 2025-08-26T20:09:47.3228094Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T20:09:47.3228479Z } 2025-08-26T20:09:47.3228644Z  2025-08-26T20:09:47.3228851Z retry () { 2025-08-26T20:09:47.3229067Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T20:09:47.3229294Z } 2025-08-26T20:09:47.3229457Z  2025-08-26T20:09:47.3229634Z retry login "${DOCKER_REGISTRY}" 2025-08-26T20:09:47.3229857Z  2025-08-26T20:09:47.3230192Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-26T20:09:47.3264316Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-26T20:09:47.3264871Z  2025-08-26T20:09:47.3265128Z set -e 2025-08-26T20:09:47.3265521Z # ignore output since only exit code is used for conditional 2025-08-26T20:09:47.3265903Z # only pull docker image if it's not available locally 2025-08-26T20:09:47.3266291Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-26T20:09:47.3266686Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-26T20:09:47.3266925Z fi 2025-08-26T20:09:47.3272376Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:09:47.3272658Z env: 2025-08-26T20:09:47.3272851Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:09:47.3273467Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:47.3274304Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:47.3274604Z ##[endgroup] 2025-08-26T20:09:47.3310876Z + set +e 2025-08-26T20:09:47.3311324Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:47.3312270Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:47.3313686Z + aws ecr get-login-password --region us-east-1 2025-08-26T20:09:47.3314596Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:09:47.8046988Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T20:09:47.8047604Z Configure a credential helper to remove this warning. See 2025-08-26T20:09:47.8048046Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T20:09:47.8048310Z 2025-08-26T20:09:47.8049381Z Login Succeeded 2025-08-26T20:09:47.8073103Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:47.8092653Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-26T20:09:48.0517729Z + IMAGE_SIZE=28511.53002166748 2025-08-26T20:09:48.0518080Z Compressed size of image in MB: 28511.53002166748 2025-08-26T20:09:48.0518424Z + echo 'Compressed size of image in MB: 28511.53002166748' 2025-08-26T20:09:48.0518690Z + set -e 2025-08-26T20:09:48.0519749Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:48.0669358Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:48.0670440Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:09:48.3051345Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image 2025-08-26T20:09:48.3052038Z 660ffc76f83b: Pulling fs layer 2025-08-26T20:09:48.3052271Z 4d54b123ef9d: Pulling fs layer 2025-08-26T20:09:48.3052493Z 9c55cec78f84: Pulling fs layer 2025-08-26T20:09:48.3052706Z 9bc7d79f3fbb: Pulling fs layer 2025-08-26T20:09:48.3052921Z aafdf104ff63: Pulling fs layer 2025-08-26T20:09:48.3053129Z 82c8895e8a78: Pulling fs layer 2025-08-26T20:09:48.3053376Z 0f8cef21ed41: Pulling fs layer 2025-08-26T20:09:48.3053584Z 23a46894eb0a: Pulling fs layer 2025-08-26T20:09:48.3053792Z 71763536b7fe: Pulling fs layer 2025-08-26T20:09:48.3053996Z 2d20cafec487: Pulling fs layer 2025-08-26T20:09:48.3054209Z 24343f5bbf5c: Pulling fs layer 2025-08-26T20:09:48.3054414Z 13e40e4a2eab: Pulling fs layer 2025-08-26T20:09:48.3054625Z f6116ea55ac1: Pulling fs layer 2025-08-26T20:09:48.3054842Z 734ff9c3d9c1: Pulling fs layer 2025-08-26T20:09:48.3055052Z 4f4fb700ef54: Pulling fs layer 2025-08-26T20:09:48.3055259Z 7962f79fd05c: Pulling fs layer 2025-08-26T20:09:48.3055466Z 38d0e1be877e: Pulling fs layer 2025-08-26T20:09:48.3055663Z 950bd866dd78: Pulling fs layer 2025-08-26T20:09:48.3055871Z 6795befe89ab: Pulling fs layer 2025-08-26T20:09:48.3056072Z e7d56d45e721: Pulling fs layer 2025-08-26T20:09:48.3056275Z 01f006747b5d: Pulling fs layer 2025-08-26T20:09:48.3056472Z c507b40a0297: Pulling fs layer 2025-08-26T20:09:48.3056680Z aafdf104ff63: Waiting 2025-08-26T20:09:48.3056884Z 4e1b4afdbeea: Pulling fs layer 2025-08-26T20:09:48.3057091Z b64445d67ed1: Pulling fs layer 2025-08-26T20:09:48.3057294Z f48ac6c01ba8: Pulling fs layer 2025-08-26T20:09:48.3057498Z 82c8895e8a78: Waiting 2025-08-26T20:09:48.3057684Z 2d20cafec487: Waiting 2025-08-26T20:09:48.3057874Z b9fb5bb58157: Pulling fs layer 2025-08-26T20:09:48.3058076Z f593871a9673: Pulling fs layer 2025-08-26T20:09:48.3058285Z 7320abfeca74: Pulling fs layer 2025-08-26T20:09:48.3058764Z d35702d52345: Pulling fs layer 2025-08-26T20:09:48.3058975Z 1e9e58db0ee6: Pulling fs layer 2025-08-26T20:09:48.3059218Z 425283ca33f4: Pulling fs layer 2025-08-26T20:09:48.3059415Z 71763536b7fe: Waiting 2025-08-26T20:09:48.3059600Z 23a46894eb0a: Waiting 2025-08-26T20:09:48.3059786Z 009019a99c9c: Pulling fs layer 2025-08-26T20:09:48.3059998Z 2fd6dfbf1697: Pulling fs layer 2025-08-26T20:09:48.3060191Z 9bc7d79f3fbb: Waiting 2025-08-26T20:09:48.3060382Z fd1110e8b53e: Pulling fs layer 2025-08-26T20:09:48.3060592Z fbdbed5f2550: Pulling fs layer 2025-08-26T20:09:48.3060805Z e9de589665ef: Pulling fs layer 2025-08-26T20:09:48.3061002Z 43d965cdf5c8: Pulling fs layer 2025-08-26T20:09:48.3061210Z c87e96cbf6b3: Pulling fs layer 2025-08-26T20:09:48.3061421Z 6cefe6cfb1b5: Pulling fs layer 2025-08-26T20:09:48.3061631Z 479676d38bf2: Pulling fs layer 2025-08-26T20:09:48.3061827Z 0f8cef21ed41: Waiting 2025-08-26T20:09:48.3062007Z 24343f5bbf5c: Waiting 2025-08-26T20:09:48.3062198Z 67c58b456bc9: Pulling fs layer 2025-08-26T20:09:48.3062406Z 308a33031a2e: Pulling fs layer 2025-08-26T20:09:48.3062600Z 950bd866dd78: Waiting 2025-08-26T20:09:48.3062781Z 13e40e4a2eab: Waiting 2025-08-26T20:09:48.3062961Z b64445d67ed1: Waiting 2025-08-26T20:09:48.3063149Z 3e9dbc095217: Pulling fs layer 2025-08-26T20:09:48.3063343Z f6116ea55ac1: Waiting 2025-08-26T20:09:48.3063522Z f48ac6c01ba8: Waiting 2025-08-26T20:09:48.3063703Z 469773c071e5: Pulling fs layer 2025-08-26T20:09:48.3063902Z 6795befe89ab: Waiting 2025-08-26T20:09:48.3064072Z 734ff9c3d9c1: Waiting 2025-08-26T20:09:48.3064375Z e7d56d45e721: Waiting 2025-08-26T20:09:48.3064569Z ec16a4f2a115: Pulling fs layer 2025-08-26T20:09:48.3064773Z 4f4fb700ef54: Waiting 2025-08-26T20:09:48.3064969Z 01968fc26419: Pulling fs layer 2025-08-26T20:09:48.3065211Z b9fb5bb58157: Waiting 2025-08-26T20:09:48.3065392Z 7962f79fd05c: Waiting 2025-08-26T20:09:48.3065571Z 7320abfeca74: Waiting 2025-08-26T20:09:48.3065740Z f593871a9673: Waiting 2025-08-26T20:09:48.3065930Z 1b890f6e6c94: Pulling fs layer 2025-08-26T20:09:48.3066128Z 1e9e58db0ee6: Waiting 2025-08-26T20:09:48.3066306Z c507b40a0297: Waiting 2025-08-26T20:09:48.3066479Z 4e1b4afdbeea: Waiting 2025-08-26T20:09:48.3066655Z 009019a99c9c: Waiting 2025-08-26T20:09:48.3066843Z f8db46864fc7: Pulling fs layer 2025-08-26T20:09:48.3067034Z e9de589665ef: Waiting 2025-08-26T20:09:48.3067215Z 2fd6dfbf1697: Waiting 2025-08-26T20:09:48.3067396Z 01f006747b5d: Waiting 2025-08-26T20:09:48.3067575Z 43d965cdf5c8: Waiting 2025-08-26T20:09:48.3067747Z fd1110e8b53e: Waiting 2025-08-26T20:09:48.3067930Z fbdbed5f2550: Waiting 2025-08-26T20:09:48.3068106Z 479676d38bf2: Waiting 2025-08-26T20:09:48.3068289Z c87e96cbf6b3: Waiting 2025-08-26T20:09:48.3068461Z 308a33031a2e: Waiting 2025-08-26T20:09:48.3068639Z 6cefe6cfb1b5: Waiting 2025-08-26T20:09:48.3068829Z cdf1ab518f85: Pulling fs layer 2025-08-26T20:09:48.3069032Z 0061302d0495: Pulling fs layer 2025-08-26T20:09:48.3069218Z 469773c071e5: Waiting 2025-08-26T20:09:48.3069403Z 7efd21765c9f: Pulling fs layer 2025-08-26T20:09:48.3069604Z 425283ca33f4: Waiting 2025-08-26T20:09:48.3069788Z 47eb26c12113: Pulling fs layer 2025-08-26T20:09:48.3069979Z 1b890f6e6c94: Waiting 2025-08-26T20:09:48.3070168Z 27c4d270ca26: Pulling fs layer 2025-08-26T20:09:48.3070365Z f8db46864fc7: Waiting 2025-08-26T20:09:48.3070555Z 4bc6ef31bd52: Pulling fs layer 2025-08-26T20:09:48.3070746Z cdf1ab518f85: Waiting 2025-08-26T20:09:48.3070935Z 5ce18bf5b45d: Pulling fs layer 2025-08-26T20:09:48.3071138Z ec16a4f2a115: Waiting 2025-08-26T20:09:48.3071324Z 285c81af4b9d: Pulling fs layer 2025-08-26T20:09:48.3071519Z 7efd21765c9f: Waiting 2025-08-26T20:09:48.3071711Z bb07dd0d561f: Pulling fs layer 2025-08-26T20:09:48.3071910Z 47eb26c12113: Waiting 2025-08-26T20:09:48.3072084Z 01968fc26419: Waiting 2025-08-26T20:09:48.3072253Z 0061302d0495: Waiting 2025-08-26T20:09:48.3072437Z 50a5a3b68ee3: Pulling fs layer 2025-08-26T20:09:48.3072644Z 79eecebd063f: Pulling fs layer 2025-08-26T20:09:48.3072840Z 27c4d270ca26: Waiting 2025-08-26T20:09:48.3073082Z 1d221336b6cf: Pulling fs layer 2025-08-26T20:09:48.3073278Z 4bc6ef31bd52: Waiting 2025-08-26T20:09:48.3073457Z 5ce18bf5b45d: Waiting 2025-08-26T20:09:48.3073708Z bb9b1ab32155: Pulling fs layer 2025-08-26T20:09:48.3073908Z 0867b7fa637c: Pulling fs layer 2025-08-26T20:09:48.3074105Z bb07dd0d561f: Waiting 2025-08-26T20:09:48.3074298Z 0edddbef40dd: Pulling fs layer 2025-08-26T20:09:48.3074486Z 50a5a3b68ee3: Waiting 2025-08-26T20:09:48.3074703Z bf05e37245a2: Pulling fs layer 2025-08-26T20:09:48.3074908Z 79eecebd063f: Waiting 2025-08-26T20:09:48.3075090Z 285c81af4b9d: Waiting 2025-08-26T20:09:48.3075269Z 1d221336b6cf: Waiting 2025-08-26T20:09:48.3075450Z 0edddbef40dd: Waiting 2025-08-26T20:09:48.3075629Z bb9b1ab32155: Waiting 2025-08-26T20:09:48.3075810Z 38d0e1be877e: Waiting 2025-08-26T20:09:48.3075982Z d35702d52345: Waiting 2025-08-26T20:09:48.3076153Z 0867b7fa637c: Waiting 2025-08-26T20:09:48.3076333Z bf05e37245a2: Waiting 2025-08-26T20:09:48.3076502Z 67c58b456bc9: Waiting 2025-08-26T20:09:48.3076688Z 3e9dbc095217: Waiting 2025-08-26T20:09:48.4106440Z 4d54b123ef9d: Verifying Checksum 2025-08-26T20:09:48.4106759Z 4d54b123ef9d: Download complete 2025-08-26T20:09:48.4865368Z 9bc7d79f3fbb: Verifying Checksum 2025-08-26T20:09:48.4865691Z 9bc7d79f3fbb: Download complete 2025-08-26T20:09:48.5835868Z aafdf104ff63: Download complete 2025-08-26T20:09:48.6712298Z 660ffc76f83b: Verifying Checksum 2025-08-26T20:09:48.6712992Z 660ffc76f83b: Download complete 2025-08-26T20:09:48.7241676Z 82c8895e8a78: Download complete 2025-08-26T20:09:48.7471688Z 0f8cef21ed41: Download complete 2025-08-26T20:09:48.8071660Z 23a46894eb0a: Verifying Checksum 2025-08-26T20:09:48.8071993Z 23a46894eb0a: Download complete 2025-08-26T20:09:48.8876009Z 2d20cafec487: Download complete 2025-08-26T20:09:48.9911909Z 24343f5bbf5c: Download complete 2025-08-26T20:09:49.0642485Z 13e40e4a2eab: Verifying Checksum 2025-08-26T20:09:49.0642810Z 13e40e4a2eab: Download complete 2025-08-26T20:09:49.1460311Z f6116ea55ac1: Verifying Checksum 2025-08-26T20:09:49.1461359Z f6116ea55ac1: Download complete 2025-08-26T20:09:49.9146029Z 71763536b7fe: Verifying Checksum 2025-08-26T20:09:49.9146357Z 71763536b7fe: Download complete 2025-08-26T20:09:49.9156642Z 660ffc76f83b: Pull complete 2025-08-26T20:09:49.9222509Z 4f4fb700ef54: Verifying Checksum 2025-08-26T20:09:49.9222812Z 4f4fb700ef54: Download complete 2025-08-26T20:09:49.9311203Z 4d54b123ef9d: Pull complete 2025-08-26T20:09:50.0139618Z 7962f79fd05c: Verifying Checksum 2025-08-26T20:09:50.0140013Z 7962f79fd05c: Download complete 2025-08-26T20:09:50.0943059Z 38d0e1be877e: Verifying Checksum 2025-08-26T20:09:50.0943416Z 38d0e1be877e: Download complete 2025-08-26T20:09:50.1908759Z 950bd866dd78: Verifying Checksum 2025-08-26T20:09:50.1909076Z 950bd866dd78: Download complete 2025-08-26T20:09:50.2743071Z 6795befe89ab: Verifying Checksum 2025-08-26T20:09:50.2743409Z 6795befe89ab: Download complete 2025-08-26T20:09:50.3594993Z e7d56d45e721: Verifying Checksum 2025-08-26T20:09:50.3595316Z e7d56d45e721: Download complete 2025-08-26T20:09:50.4302852Z 01f006747b5d: Download complete 2025-08-26T20:09:50.5195947Z c507b40a0297: Verifying Checksum 2025-08-26T20:09:50.5196266Z c507b40a0297: Download complete 2025-08-26T20:09:50.6081204Z 4e1b4afdbeea: Verifying Checksum 2025-08-26T20:09:50.6081529Z 4e1b4afdbeea: Download complete 2025-08-26T20:09:50.6772216Z b64445d67ed1: Verifying Checksum 2025-08-26T20:09:50.6772550Z b64445d67ed1: Download complete 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2025-08-26T20:18:34.0316773Z 7efd21765c9f: Pull complete 2025-08-26T20:18:34.4889855Z 47eb26c12113: Pull complete 2025-08-26T20:18:35.3850997Z 27c4d270ca26: Pull complete 2025-08-26T20:18:35.7104369Z 4bc6ef31bd52: Pull complete 2025-08-26T20:18:36.3199657Z 5ce18bf5b45d: Pull complete 2025-08-26T20:18:36.5904108Z 285c81af4b9d: Pull complete 2025-08-26T20:18:45.6328508Z bb07dd0d561f: Pull complete 2025-08-26T20:18:46.0717906Z 50a5a3b68ee3: Pull complete 2025-08-26T20:18:46.5151241Z 79eecebd063f: Pull complete 2025-08-26T20:18:46.9507109Z 1d221336b6cf: Pull complete 2025-08-26T20:18:47.4648858Z bb9b1ab32155: Pull complete 2025-08-26T20:18:47.9071151Z 0867b7fa637c: Pull complete 2025-08-26T20:18:48.7492961Z 0edddbef40dd: Pull complete 2025-08-26T20:18:50.9959541Z bf05e37245a2: Pull complete 2025-08-26T20:18:51.0338318Z Digest: sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c 2025-08-26T20:18:51.0384049Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:18:51.0414642Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:18:51.0465799Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:18:51.0466453Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:18:51.0475138Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:18:51.0475413Z env: 2025-08-26T20:18:51.0475598Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:18:51.0475801Z ##[endgroup] 2025-08-26T20:18:51.0560220Z Prepare all required actions 2025-08-26T20:18:51.0595993Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-26T20:18:51.0596266Z with: 2025-08-26T20:18:51.0596867Z github-token: *** 2025-08-26T20:18:51.0597057Z env: 2025-08-26T20:18:51.0597242Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:18:51.0597458Z ##[endgroup] 2025-08-26T20:18:51.0623205Z ##[group]Run set -eux 2025-08-26T20:18:51.0623446Z set -eux 2025-08-26T20:18:51.0623775Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T20:18:51.0629444Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:18:51.0629737Z env: 2025-08-26T20:18:51.0629918Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:18:51.0630299Z GITHUB_TOKEN: *** 2025-08-26T20:18:51.0630693Z ##[endgroup] 2025-08-26T20:18:51.0656647Z + python3 .github/scripts/get_workflow_job_id.py 17248463670 i-073caa4447498af62 2025-08-26T20:18:52.0240402Z Setting output job-id=48946862619 2025-08-26T20:18:52.0242858Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:18:52.0354809Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-26T20:18:52.0355331Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-26T20:18:52.0355972Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-26T20:18:52.0356538Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:18:52.0362027Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:18:52.0362293Z env: 2025-08-26T20:18:52.0362476Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:18:52.0362668Z JOB_ID: 48946862619 2025-08-26T20:18:52.0363036Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:18:52.0363441Z WORKFLOW_NAME: inductor 2025-08-26T20:18:52.0363643Z WORKFLOW_RUN_ID: 17248463670 2025-08-26T20:18:52.0363889Z MONITOR_LOG_INTERVAL: 5 2025-08-26T20:18:52.0364097Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-26T20:18:52.0364310Z ##[endgroup] 2025-08-26T20:18:52.3058854Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T20:18:52.5801849Z Collecting psutil==5.9.8 2025-08-26T20:18:52.5999068Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-26T20:18:52.6591692Z Collecting dataclasses_json==0.6.7 2025-08-26T20:18:52.6631690Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-26T20:18:52.6874825Z Collecting nvidia-ml-py==11.525.84 2025-08-26T20:18:52.6909084Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-26T20:18:52.7827449Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-26T20:18:52.7862349Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-26T20:18:52.8087525Z Collecting typing-inspect<1,>=0.4.0 2025-08-26T20:18:52.8144382Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-26T20:18:52.8615018Z Collecting packaging>=17.0 2025-08-26T20:18:52.8673307Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-26T20:18:52.8899281Z Collecting mypy-extensions>=0.3.0 2025-08-26T20:18:52.8952759Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-26T20:18:52.9373273Z Collecting typing-extensions>=3.7.4 2025-08-26T20:18:52.9409411Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-08-26T20:18:53.0292352Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-26T20:18:53.2984530Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-08-26T20:18:53.4767879Z Prepare all required actions 2025-08-26T20:18:53.4768328Z Getting action download info 2025-08-26T20:18:53.6410649Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-26T20:18:53.8562120Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-26T20:18:54.1728337Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-26T20:18:54.1728630Z with: 2025-08-26T20:18:54.1728837Z name: linux-jammy-py3.9-gcc11-build 2025-08-26T20:18:54.1729081Z s3-bucket: gha-artifacts 2025-08-26T20:18:54.1729289Z env: 2025-08-26T20:18:54.1729465Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:18:54.1729669Z ##[endgroup] 2025-08-26T20:18:54.1762691Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T20:18:54.1762960Z with: 2025-08-26T20:18:54.1763162Z name: linux-jammy-py3.9-gcc11-build 2025-08-26T20:18:54.1763393Z s3-bucket: gha-artifacts 2025-08-26T20:18:54.1763676Z region: us-east-1 2025-08-26T20:18:54.1763846Z env: 2025-08-26T20:18:54.1764016Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:18:54.1764211Z ##[endgroup] 2025-08-26T20:18:54.5856861Z (node:48519) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T20:18:54.5861012Z 2025-08-26T20:18:54.5861942Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T20:18:54.5862373Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T20:18:54.5862778Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T20:18:54.8640046Z Found 1 objects with prefix pytorch/pytorch/17248463670/linux-jammy-py3.9-gcc11-build/ 2025-08-26T20:18:54.8641666Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T20:18:59.4688706Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T20:18:59.4695007Z Artifact download 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build/bin/test_api 2025-08-26T20:19:07.1592069Z inflating: build/bin/parallel_benchmark 2025-08-26T20:19:07.1951187Z inflating: build/bin/test_lazy 2025-08-26T20:19:07.1954216Z inflating: build/bin/torch_shm_manager 2025-08-26T20:19:07.1954488Z creating: .additional_ci_files/ 2025-08-26T20:19:07.2035214Z inflating: .additional_ci_files/test-times.json 2025-08-26T20:19:07.2344222Z inflating: .additional_ci_files/test-class-times.json 2025-08-26T20:19:07.2367785Z ##[group]Run rm artifacts.zip 2025-08-26T20:19:07.2368050Z rm artifacts.zip 2025-08-26T20:19:07.2372945Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:07.2373215Z env: 2025-08-26T20:19:07.2373403Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:07.2373606Z ##[endgroup] 2025-08-26T20:19:07.3543550Z ##[group]Run df -H 2025-08-26T20:19:07.3543776Z df -H 2025-08-26T20:19:07.3548879Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:07.3549146Z env: 2025-08-26T20:19:07.3549370Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:07.3549585Z ##[endgroup] 2025-08-26T20:19:07.3592287Z Filesystem Size Used Avail Use% Mounted on 2025-08-26T20:19:07.3592629Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-26T20:19:07.3592915Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-26T20:19:07.3593157Z tmpfs 27G 791k 27G 1% /run 2025-08-26T20:19:07.3593582Z /dev/nvme0n1p1 215G 70G 145G 33% / 2025-08-26T20:19:07.3593893Z tmpfs 67G 13k 67G 1% /tmp 2025-08-26T20:19:07.3594167Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-26T20:19:07.3620431Z Prepare all required actions 2025-08-26T20:19:07.3621473Z Getting action download info 2025-08-26T20:19:07.5212047Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-26T20:19:07.5212322Z with: 2025-08-26T20:19:07.5212524Z env: 2025-08-26T20:19:07.5212694Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:07.5212898Z ##[endgroup] 2025-08-26T20:19:07.5330768Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T20:19:07.5331197Z with: 2025-08-26T20:19:07.5331370Z name: td_results 2025-08-26T20:19:07.5331566Z s3-bucket: gha-artifacts 2025-08-26T20:19:07.5331776Z region: us-east-1 2025-08-26T20:19:07.5331949Z env: 2025-08-26T20:19:07.5332123Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:07.5332320Z ##[endgroup] 2025-08-26T20:19:07.9206039Z (node:48540) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T20:19:07.9206424Z 2025-08-26T20:19:07.9206666Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T20:19:07.9207543Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T20:19:07.9207955Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T20:19:08.0405540Z Found 0 objects with prefix pytorch/pytorch/17248463670/td_results/ 2025-08-26T20:19:08.0411218Z Artifact download has finished successfully 2025-08-26T20:19:08.0779477Z ##[group]Run mkdir -p .additional_ci_files 2025-08-26T20:19:08.0779801Z mkdir -p .additional_ci_files 2025-08-26T20:19:08.0780117Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-26T20:19:08.0785278Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:08.0785549Z env: 2025-08-26T20:19:08.0785734Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:08.0785944Z ##[endgroup] 2025-08-26T20:19:08.0839497Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-26T20:19:08.0949448Z ##[group]Run .github/scripts/parse_ref.py 2025-08-26T20:19:08.0949754Z .github/scripts/parse_ref.py 2025-08-26T20:19:08.0954811Z shell: /usr/bin/bash -e {0} 2025-08-26T20:19:08.0955026Z env: 2025-08-26T20:19:08.0955204Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:08.0955406Z ##[endgroup] 2025-08-26T20:19:08.1449053Z Setting output branch=main 2025-08-26T20:19:08.1548539Z Prepare all required actions 2025-08-26T20:19:08.1548933Z Getting action download info 2025-08-26T20:19:08.2839137Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-26T20:19:08.2839410Z with: 2025-08-26T20:19:08.2839808Z github-token: *** 2025-08-26T20:19:08.2841706Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-26T20:19:08.2843733Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:19:08.2844126Z env: 2025-08-26T20:19:08.2844297Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:08.2844500Z ##[endgroup] 2025-08-26T20:19:08.2937547Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T20:19:08.2937798Z with: 2025-08-26T20:19:08.2937968Z shell: bash 2025-08-26T20:19:08.2938149Z timeout_minutes: 10 2025-08-26T20:19:08.2938338Z max_attempts: 5 2025-08-26T20:19:08.2938524Z retry_wait_seconds: 30 2025-08-26T20:19:08.2939075Z 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 2025-08-26T20:19:08.2939680Z polling_interval_seconds: 1 2025-08-26T20:19:08.2939913Z warning_on_retry: true 2025-08-26T20:19:08.2940116Z continue_on_error: false 2025-08-26T20:19:08.2940311Z env: 2025-08-26T20:19:08.2940617Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:08.2941042Z GITHUB_TOKEN: *** 2025-08-26T20:19:08.2941230Z ##[endgroup] 2025-08-26T20:19:08.4132679Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-26T20:19:08.6206271Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T20:19:08.7489789Z Collecting requests==2.27.1 2025-08-26T20:19:08.7633172Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-26T20:19:09.0040634Z Collecting pyyaml==6.0.2 2025-08-26T20:19:09.0078701Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-26T20:19:09.3764998Z Collecting charset-normalizer~=2.0.0 2025-08-26T20:19:09.3800976Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-26T20:19:09.4762501Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-26T20:19:09.4763173Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-26T20:19:09.5758318Z Collecting certifi>=2017.4.17 2025-08-26T20:19:09.5793708Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-26T20:19:09.7031892Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-26T20:19:10.1626907Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-26T20:19:10.3632729Z Command completed after 1 attempt(s). 2025-08-26T20:19:10.3738299Z ##[group]Run set -x 2025-08-26T20:19:10.3738527Z set -x 2025-08-26T20:19:10.3738727Z  2025-08-26T20:19:10.3739017Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T20:19:10.3739358Z # in runner workspace 2025-08-26T20:19:10.3739805Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-26T20:19:10.3745200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:10.3745489Z env: 2025-08-26T20:19:10.3745670Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:10.3745877Z ##[endgroup] 2025-08-26T20:19:10.3773123Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-26T20:19:10.3948254Z Setting output branch=main 2025-08-26T20:19:10.4050350Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T20:19:10.4050683Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T20:19:10.4050942Z echo "Job name: ${JOB_NAME}" 2025-08-26T20:19:10.4051168Z  2025-08-26T20:19:10.4051444Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T20:19:10.4051788Z # in runner workspace 2025-08-26T20:19:10.4052121Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-26T20:19:10.4052609Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-26T20:19:10.4052860Z  --job-name "${JOB_NAME}" \ 2025-08-26T20:19:10.4054705Z  --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \ 2025-08-26T20:19:10.4056664Z  --selected-test-configs "" \ 2025-08-26T20:19:10.4057088Z  --pr-number "${PR_NUMBER}" \ 2025-08-26T20:19:10.4057322Z  --tag "${TAG}" \ 2025-08-26T20:19:10.4057556Z  --event-name "${EVENT_NAME}" \ 2025-08-26T20:19:10.4057807Z  --schedule "${SCHEDULE}" \ 2025-08-26T20:19:10.4058044Z  --branch "${HEAD_BRANCH}" 2025-08-26T20:19:10.4063494Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:10.4063777Z env: 2025-08-26T20:19:10.4064023Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:10.4064645Z GITHUB_TOKEN: *** 2025-08-26T20:19:10.4065058Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:19:10.4065457Z PR_NUMBER: 2025-08-26T20:19:10.4065637Z TAG: 2025-08-26T20:19:10.4065812Z EVENT_NAME: push 2025-08-26T20:19:10.4066000Z SCHEDULE: 2025-08-26T20:19:10.4066187Z HEAD_BRANCH: main 2025-08-26T20:19:10.4066436Z ##[endgroup] 2025-08-26T20:19:10.4091906Z Workflow: inductor 2025-08-26T20:19:10.4092582Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:19:10.5685863Z Setting output keep-going=True 2025-08-26T20:19:10.5686229Z Setting output ci-verbose-test-logs=False 2025-08-26T20:19:10.5686507Z Setting output ci-test-showlocals=False 2025-08-26T20:19:10.5686761Z Setting output ci-no-test-timeout=False 2025-08-26T20:19:10.5687426Z Setting output ci-no-td=False 2025-08-26T20:19:10.5687682Z Setting output ci-td-distributed=False 2025-08-26T20:19:10.5687930Z Setting output is-unstable=False 2025-08-26T20:19:10.5688162Z Setting output reenabled-issues= 2025-08-26T20:19:10.5690311Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-26T20:19:10.5692226Z Setting output is-test-matrix-empty=False 2025-08-26T20:19:10.5933551Z ##[group]Run echo "Filtered matrix:" 2025-08-26T20:19:10.5933852Z echo "Filtered matrix:" 2025-08-26T20:19:10.5935653Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" 2025-08-26T20:19:10.5937427Z  2025-08-26T20:19:10.5937603Z echo 2025-08-26T20:19:10.5937817Z echo "Is the current job unstable? False" 2025-08-26T20:19:10.5938068Z  2025-08-26T20:19:10.5938231Z echo 2025-08-26T20:19:10.5938436Z echo "Is keep-going label set? True" 2025-08-26T20:19:10.5938666Z  2025-08-26T20:19:10.5938831Z echo 2025-08-26T20:19:10.5939160Z echo "Reenabled issues? " 2025-08-26T20:19:10.5944354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:10.5944631Z env: 2025-08-26T20:19:10.5944825Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:10.5945040Z ##[endgroup] 2025-08-26T20:19:10.5969914Z Filtered matrix: 2025-08-26T20:19:10.5971758Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]} 2025-08-26T20:19:10.5973478Z 2025-08-26T20:19:10.5973578Z Is the current job unstable? False 2025-08-26T20:19:10.5973739Z 2025-08-26T20:19:10.5973840Z Is keep-going label set? True 2025-08-26T20:19:10.5973985Z 2025-08-26T20:19:10.5974080Z Reenabled issues? 2025-08-26T20:19:10.6094981Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T20:19:10.6095392Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T20:19:10.6100690Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:10.6100974Z env: 2025-08-26T20:19:10.6101162Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:10.6101368Z JOB_TIMEOUT: 240 2025-08-26T20:19:10.6101551Z ##[endgroup] 2025-08-26T20:19:10.6246931Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:19:10.6247564Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:19:10.6247925Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:19:10.6252895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:10.6253166Z env: 2025-08-26T20:19:10.6253355Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:10.6253561Z ##[endgroup] 2025-08-26T20:19:10.6527862Z ##[group]Run set -x 2025-08-26T20:19:10.6528191Z set -x 2025-08-26T20:19:10.6528368Z  2025-08-26T20:19:10.6528577Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-26T20:19:10.6528875Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-26T20:19:10.6529167Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-26T20:19:10.6529426Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-26T20:19:10.6529654Z else 2025-08-26T20:19:10.6529861Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T20:19:10.6530088Z fi 2025-08-26T20:19:10.6530245Z  2025-08-26T20:19:10.6530715Z # Leaving 1GB for the runner and other things 2025-08-26T20:19:10.6531156Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-26T20:19:10.6531800Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-26T20:19:10.6532441Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-26T20:19:10.6532824Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-26T20:19:10.6533117Z  2025-08-26T20:19:10.6533329Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-26T20:19:10.6533576Z  SHM_OPTS= 2025-08-26T20:19:10.6533772Z  JENKINS_USER= 2025-08-26T20:19:10.6534040Z  # ensure that docker container cleanly exits in 12 hours 2025-08-26T20:19:10.6534395Z  # if for some reason cleanup action doesn't stop container 2025-08-26T20:19:10.6534690Z  # when job is cancelled 2025-08-26T20:19:10.6535063Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-26T20:19:10.6535289Z else 2025-08-26T20:19:10.6535492Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-26T20:19:10.6535743Z  JENKINS_USER="--user jenkins" 2025-08-26T20:19:10.6535976Z  DOCKER_SHELL_CMD= 2025-08-26T20:19:10.6536178Z fi 2025-08-26T20:19:10.6536344Z  2025-08-26T20:19:10.6536594Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-26T20:19:10.6536962Z # TODO: Stop building test binaries as part of the build phase 2025-08-26T20:19:10.6537377Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-26T20:19:10.6537742Z # shellcheck disable=SC2086,SC2090 2025-08-26T20:19:10.6537991Z container_name=$(docker run \ 2025-08-26T20:19:10.6538221Z  ${GPU_FLAG:-} \ 2025-08-26T20:19:10.6538447Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-26T20:19:10.6538705Z  -e BUILD_ENVIRONMENT \ 2025-08-26T20:19:10.6538932Z  -e PR_NUMBER \ 2025-08-26T20:19:10.6539144Z  -e GITHUB_ACTIONS \ 2025-08-26T20:19:10.6539354Z  -e GITHUB_REPOSITORY \ 2025-08-26T20:19:10.6539581Z  -e GITHUB_WORKFLOW \ 2025-08-26T20:19:10.6539797Z  -e GITHUB_JOB \ 2025-08-26T20:19:10.6540004Z  -e GITHUB_RUN_ID \ 2025-08-26T20:19:10.6540208Z  -e GITHUB_RUN_NUMBER \ 2025-08-26T20:19:10.6540428Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-26T20:19:10.6540647Z  -e JOB_ID \ 2025-08-26T20:19:10.6540843Z  -e JOB_NAME \ 2025-08-26T20:19:10.6541033Z  -e BASE_SHA \ 2025-08-26T20:19:10.6541228Z  -e BRANCH \ 2025-08-26T20:19:10.6541416Z  -e SHA1 \ 2025-08-26T20:19:10.6541608Z  -e AWS_DEFAULT_REGION \ 2025-08-26T20:19:10.6541819Z  -e IN_WHEEL_TEST \ 2025-08-26T20:19:10.6542027Z  -e SHARD_NUMBER \ 2025-08-26T20:19:10.6542236Z  -e TEST_CONFIG \ 2025-08-26T20:19:10.6542443Z  -e NUM_TEST_SHARDS \ 2025-08-26T20:19:10.6542654Z  -e REENABLED_ISSUES \ 2025-08-26T20:19:10.6542884Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-26T20:19:10.6543234Z  -e VERBOSE_TEST_LOGS \ 2025-08-26T20:19:10.6543462Z  -e TEST_SHOWLOCALS \ 2025-08-26T20:19:10.6543674Z  -e NO_TEST_TIMEOUT \ 2025-08-26T20:19:10.6543885Z  -e NO_TD \ 2025-08-26T20:19:10.6544094Z  -e TD_DISTRIBUTED \ 2025-08-26T20:19:10.6544314Z  -e PR_LABELS \ 2025-08-26T20:19:10.6544543Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-26T20:19:10.6544802Z  -e SCCACHE_BUCKET \ 2025-08-26T20:19:10.6545021Z  -e SCCACHE_REGION \ 2025-08-26T20:19:10.6545240Z  -e XLA_CUDA \ 2025-08-26T20:19:10.6545467Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-26T20:19:10.6545731Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-26T20:19:10.6546008Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-26T20:19:10.6546284Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-26T20:19:10.6546542Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-26T20:19:10.6546790Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-08-26T20:19:10.6547049Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-26T20:19:10.6547291Z  -e DASHBOARD_TAG \ 2025-08-26T20:19:10.6547513Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-26T20:19:10.6547781Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-26T20:19:10.6548088Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-26T20:19:10.6548394Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-26T20:19:10.6548685Z  --security-opt seccomp=unconfined \ 2025-08-26T20:19:10.6548942Z  --cap-add=SYS_PTRACE \ 2025-08-26T20:19:10.6549161Z  --ipc=host \ 2025-08-26T20:19:10.6549367Z  ${SHM_OPTS} \ 2025-08-26T20:19:10.6549627Z  --tty \ 2025-08-26T20:19:10.6549815Z  --detach \ 2025-08-26T20:19:10.6550014Z  --name="${container_name}" \ 2025-08-26T20:19:10.6550246Z  ${JENKINS_USER} \ 2025-08-26T20:19:10.6550512Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-26T20:19:10.6550795Z  -w /var/lib/jenkins/workspace \ 2025-08-26T20:19:10.6551021Z  "${DOCKER_IMAGE}" \ 2025-08-26T20:19:10.6551262Z  ${DOCKER_SHELL_CMD} 2025-08-26T20:19:10.6551460Z ) 2025-08-26T20:19:10.6551687Z # Propagate download.pytorch.org IP to container 2025-08-26T20:19:10.6552135Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-26T20:19:10.6552623Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-26T20:19:10.6552909Z  2025-08-26T20:19:10.6553121Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-26T20:19:10.6553521Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-26T20:19:10.6553884Z fi 2025-08-26T20:19:10.6554050Z  2025-08-26T20:19:10.6554390Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-26T20:19:10.6559899Z shell: /usr/bin/bash -e {0} 2025-08-26T20:19:10.6560108Z env: 2025-08-26T20:19:10.6560285Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:10.6560540Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-26T20:19:10.6560798Z PR_NUMBER: 2025-08-26T20:19:10.6560996Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-26T20:19:10.6561222Z GITHUB_WORKFLOW: inductor 2025-08-26T20:19:10.6561421Z GITHUB_JOB: test 2025-08-26T20:19:10.6561611Z GITHUB_RUN_ID: 17248463670 2025-08-26T20:19:10.6561818Z GITHUB_RUN_NUMBER: 149891 2025-08-26T20:19:10.6562010Z GITHUB_RUN_ATTEMPT: 1 2025-08-26T20:19:10.6562206Z JOB_ID: 48946862619 2025-08-26T20:19:10.6562578Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:19:10.6562964Z BRANCH: main 2025-08-26T20:19:10.6563275Z SHA1: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:10.6563550Z BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:10.6563809Z TEST_CONFIG: dynamic_cpu_inductor_timm 2025-08-26T20:19:10.6564041Z SHARD_NUMBER: 2 2025-08-26T20:19:10.6564220Z NUM_TEST_SHARDS: 2 2025-08-26T20:19:10.6564412Z REENABLED_ISSUES: 2025-08-26T20:19:10.6564613Z CONTINUE_THROUGH_ERROR: True 2025-08-26T20:19:10.6564834Z VERBOSE_TEST_LOGS: False 2025-08-26T20:19:10.6565034Z TEST_SHOWLOCALS: False 2025-08-26T20:19:10.6565241Z NO_TEST_TIMEOUT: False 2025-08-26T20:19:10.6565434Z NO_TD: False 2025-08-26T20:19:10.6565613Z TD_DISTRIBUTED: False 2025-08-26T20:19:10.6565843Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-26T20:19:10.6566115Z SCCACHE_REGION: us-east-1 2025-08-26T20:19:10.6566313Z SHM_SIZE: 1g 2025-08-26T20:19:10.6566879Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:19:10.6568468Z XLA_CUDA: 2025-08-26T20:19:10.6568750Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-26T20:19:10.6569077Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-26T20:19:10.6569326Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-26T20:19:10.6569556Z DASHBOARD_TAG: 2025-08-26T20:19:10.6569974Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-08-26T20:19:10.6570318Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-26T20:19:10.6570623Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-26T20:19:10.6570977Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:19:10.6571326Z ##[endgroup] 2025-08-26T20:19:10.6596951Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-26T20:19:10.6597516Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-26T20:19:10.6597789Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T20:19:10.6600592Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-26T20:19:10.6623561Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-26T20:19:10.6623905Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-26T20:19:10.6624241Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-26T20:19:10.6624565Z + SHM_OPTS=--shm-size=1g 2025-08-26T20:19:10.6624786Z + JENKINS_USER='--user jenkins' 2025-08-26T20:19:10.6625003Z + DOCKER_SHELL_CMD= 2025-08-26T20:19:10.6633286Z +++ nproc --ignore=2 2025-08-26T20:19:10.6985767Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_17248463670 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:19:32.8109394Z + container_name=d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:19:32.8111590Z + grep download.pytorch.org /etc/hosts 2025-08-26T20:19:32.8113103Z + docker exec -i d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-26T20:19:32.9512463Z + echo DOCKER_CONTAINER_ID=d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:19:32.9514819Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-26T20:19:32.9515268Z ++ echo dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl 2025-08-26T20:19:32.9517915Z + docker exec -t d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-26T20:19:33.3373028Z Processing ./dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git262640f) 2025-08-26T20:19:33.5730925Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1) 2025-08-26T20:19:33.5735282Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (4.15.0) 2025-08-26T20:19:33.5736569Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.13.3) 2025-08-26T20:19:33.5739977Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.8.8) 2025-08-26T20:19:33.5742739Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6) 2025-08-26T20:19:33.5749456Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2025.3.0) 2025-08-26T20:19:33.5759269Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0) 2025-08-26T20:19:33.6093756Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.22.4) 2025-08-26T20:19:33.6109845Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.3.0) 2025-08-26T20:19:33.6144532Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.0.2) 2025-08-26T20:19:34.4520354Z Installing collected packages: torch 2025-08-26T20:19:42.4791487Z 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. 2025-08-26T20:19:42.4792220Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-26T20:19:42.4792896Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-26T20:19:42.4793357Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-26T20:19:42.4793906Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-26T20:19:42.4794442Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-26T20:19:42.4796495Z Successfully installed torch-2.9.0a0+git262640f 2025-08-26T20:19:42.6134489Z + export TERM=vt100 2025-08-26T20:19:42.6134775Z + TERM=vt100 2025-08-26T20:19:42.6135078Z ++ dirname .ci/pytorch/test.sh 2025-08-26T20:19:42.6142339Z + source .ci/pytorch/common.sh 2025-08-26T20:19:42.6146750Z +++ dirname .ci/pytorch/common.sh 2025-08-26T20:19:42.6153412Z ++ source .ci/pytorch/common_utils.sh 2025-08-26T20:19:42.6153756Z +++ declare -f -t trap_add 2025-08-26T20:19:42.6156492Z ++ set -ex -o pipefail 2025-08-26T20:19:42.6156758Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-26T20:19:42.6157401Z ++ BUILD_TEST_LIBTORCH=0 2025-08-26T20:19:42.6161629Z ++ dirname .ci/pytorch/test.sh 2025-08-26T20:19:42.6169497Z + source .ci/pytorch/common-build.sh 2025-08-26T20:19:42.6169780Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-26T20:19:42.6176441Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-26T20:19:42.6197745Z +++ cd .ci/pytorch 2025-08-26T20:19:42.6198514Z +++ pwd -P 2025-08-26T20:19:42.6201791Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-26T20:19:42.6202153Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-26T20:19:42.6202437Z ++ which sccache 2025-08-26T20:19:42.6221990Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-26T20:19:42.6222306Z ++ sccache --stop-server 2025-08-26T20:19:42.6246934Z ++ true 2025-08-26T20:19:42.6247967Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-26T20:19:42.6259283Z ++ trap_add sccache_epilogue EXIT 2025-08-26T20:19:42.6259761Z ++ trap_add_cmd=sccache_epilogue 2025-08-26T20:19:42.6260377Z ++ shift 2025-08-26T20:19:42.6260642Z ++ for trap_add_name in "$@" 2025-08-26T20:19:42.6264254Z ++++ trap -p EXIT 2025-08-26T20:19:42.6266788Z +++ eval 'extract_trap_cmd ' 2025-08-26T20:19:42.6267020Z ++++ extract_trap_cmd 2025-08-26T20:19:42.6267407Z ++++ printf '%s\n' '' 2025-08-26T20:19:42.6267665Z +++ printf '%s\n' sccache_epilogue 2025-08-26T20:19:42.6267892Z ++ trap -- ' 2025-08-26T20:19:42.6268079Z sccache_epilogue' EXIT 2025-08-26T20:19:42.6268275Z ++ [[ -n 1 ]] 2025-08-26T20:19:42.6268572Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-26T20:19:42.6268987Z Skipping sccache server initialization, setting environment variables 2025-08-26T20:19:42.6269308Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-26T20:19:42.6269534Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-26T20:19:42.6270123Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T20:19:42.6270438Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T20:19:42.6270773Z ++ export RUST_LOG=sccache::server=error 2025-08-26T20:19:42.6271020Z ++ RUST_LOG=sccache::server=error 2025-08-26T20:19:42.6271246Z ++ sccache --zero-stats 2025-08-26T20:19:42.7696937Z Statistics zeroed. 2025-08-26T20:19:42.7707901Z ++ which ccache 2025-08-26T20:19:42.7732707Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-26T20:19:42.7733097Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-26T20:19:42.7733381Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-26T20:19:42.7735732Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-26T20:19:42.7748694Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-26T20:19:42.7748978Z + trap_add cleanup_workspace EXIT 2025-08-26T20:19:42.7749228Z + trap_add_cmd=cleanup_workspace 2025-08-26T20:19:42.7749543Z + shift 2025-08-26T20:19:42.7749731Z + for trap_add_name in "$@" 2025-08-26T20:19:42.7756638Z +++ trap -p EXIT 2025-08-26T20:19:42.7760062Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-26T20:19:42.7760372Z sccache_epilogue'\'' EXIT' 2025-08-26T20:19:42.7761708Z +++ extract_trap_cmd trap -- ' 2025-08-26T20:19:42.7762101Z sccache_epilogue' EXIT 2025-08-26T20:19:42.7762740Z +++ printf '%s\n' ' 2025-08-26T20:19:42.7762983Z sccache_epilogue' 2025-08-26T20:19:42.7763200Z ++ printf '%s\n' cleanup_workspace 2025-08-26T20:19:42.7763447Z + trap -- ' 2025-08-26T20:19:42.7763630Z sccache_epilogue 2025-08-26T20:19:42.7763818Z cleanup_workspace' EXIT 2025-08-26T20:19:42.7764069Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-26T20:19:43.2249609Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-26T20:19:43.2267643Z + echo 'Environment variables:' 2025-08-26T20:19:43.2267952Z Environment variables: 2025-08-26T20:19:43.2268157Z + env 2025-08-26T20:19:43.2278508Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T20:19:43.2278921Z CONTINUE_THROUGH_ERROR=True 2025-08-26T20:19:43.2279250Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-26T20:19:43.2279734Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-08-26T20:19:43.2279965Z HOSTNAME=d2387f915b28 2025-08-26T20:19:43.2280727Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2281176Z GITHUB_ACTION=__run_2 2025-08-26T20:19:43.2281391Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T20:19:43.2281626Z GITHUB_RUN_NUMBER=149891 2025-08-26T20:19:43.2281841Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-26T20:19:43.2282085Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T20:19:43.2282358Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-26T20:19:43.2282593Z SCCACHE_IDLE_TIMEOUT=0 2025-08-26T20:19:43.2282907Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-26T20:19:43.2283134Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T20:19:43.2283364Z GITHUB_REF_TYPE=branch 2025-08-26T20:19:43.2283601Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2283847Z XLA_CUDA= 2025-08-26T20:19:43.2284021Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-26T20:19:43.2284355Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-26T20:19:43.2288013Z *** 2025-08-26T20:19:43.2288215Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T20:19:43.2288433Z GITHUB_ACTIONS=true 2025-08-26T20:19:43.2288653Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T20:19:43.2288933Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2289197Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2289562Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-26T20:19:43.2289889Z UCC_HOME=/usr 2025-08-26T20:19:43.2290070Z VERBOSE_TEST_LOGS=False 2025-08-26T20:19:43.2290270Z GITHUB_REF=refs/heads/main 2025-08-26T20:19:43.2290468Z SHARD_NUMBER=2 2025-08-26T20:19:43.2290644Z GITHUB_REF_PROTECTED=true 2025-08-26T20:19:43.2290845Z HOME=/var/lib/jenkins 2025-08-26T20:19:43.2291228Z GITHUB_API_URL=https://api.github.com 2025-08-26T20:19:43.2291478Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T20:19:43.2291688Z UCX_COMMIT= 2025-08-26T20:19:43.2291862Z USE_SYSTEM_NCCL=1 2025-08-26T20:19:43.2292046Z NUM_TEST_SHARDS=2 2025-08-26T20:19:43.2292218Z UCX_HOME=/usr 2025-08-26T20:19:43.2292609Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2293219Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:19:43.2293805Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2294336Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T20:19:43.2294666Z GITHUB_EVENT_NAME=push 2025-08-26T20:19:43.2294856Z DASHBOARD_TAG= 2025-08-26T20:19:43.2295035Z GITHUB_RUN_ID=17248463670 2025-08-26T20:19:43.2295238Z INSTALLED_OPENBLAS= 2025-08-26T20:19:43.2295644Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2296099Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T20:19:43.2296305Z PR_NUMBER= 2025-08-26T20:19:43.2296500Z DESIRED_CUDA= 2025-08-26T20:19:43.2296678Z GITHUB_RUN_ATTEMPT=1 2025-08-26T20:19:43.2296867Z ANACONDA_PYTHON_VERSION=3.9 2025-08-26T20:19:43.2297115Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T20:19:43.2297361Z TERM=vt100 2025-08-26T20:19:43.2297527Z INSTALLED_VISION=yes 2025-08-26T20:19:43.2297706Z BRANCH=main 2025-08-26T20:19:43.2297879Z SCCACHE_REGION=us-east-1 2025-08-26T20:19:43.2298088Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T20:19:43.2298304Z CUDA_PATH=/usr/local/cuda 2025-08-26T20:19:43.2298651Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-26T20:19:43.2299042Z GITHUB_SERVER_URL=https://github.com 2025-08-26T20:19:43.2299266Z UCC_COMMIT= 2025-08-26T20:19:43.2299429Z REENABLED_ISSUES= 2025-08-26T20:19:43.2299595Z DOCS=yes 2025-08-26T20:19:43.2299754Z SHLVL=1 2025-08-26T20:19:43.2299911Z MAX_JOBS=30 2025-08-26T20:19:43.2300082Z GITHUB_ACTOR_ID=97764156 2025-08-26T20:19:43.2300473Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2300763Z GITHUB_REF_NAME=main 2025-08-26T20:19:43.2301044Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-26T20:19:43.2301343Z GITHUB_JOB=test 2025-08-26T20:19:43.2301514Z NO_TEST_TIMEOUT=False 2025-08-26T20:19:43.2301705Z TD_DISTRIBUTED=False 2025-08-26T20:19:43.2301907Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T20:19:43.2302133Z GITHUB_RETENTION_DAYS=90 2025-08-26T20:19:43.2302321Z OPENSSL_DIR=/opt/openssl 2025-08-26T20:19:43.2302523Z GITHUB_ACTION_REPOSITORY= 2025-08-26T20:19:43.2303038Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:19:43.2303557Z GITHUB_BASE_REF= 2025-08-26T20:19:43.2303727Z INSTALLED_ACL= 2025-08-26T20:19:43.2304035Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:19:43.2304365Z CI=true 2025-08-26T20:19:43.2304543Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T20:19:43.2304797Z RUST_LOG=sccache::server=error 2025-08-26T20:19:43.2304997Z JOB_ID=48946862619 2025-08-26T20:19:43.2305171Z GITHUB_HEAD_REF= 2025-08-26T20:19:43.2305345Z GITHUB_ACTION_REF= 2025-08-26T20:19:43.2305556Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-26T20:19:43.2305808Z TEST_SHOWLOCALS=False 2025-08-26T20:19:43.2305998Z GITHUB_WORKFLOW=inductor 2025-08-26T20:19:43.2306196Z DEBIAN_FRONTEND=noninteractive 2025-08-26T20:19:43.2306608Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2307046Z NO_TD=False 2025-08-26T20:19:43.2307228Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-26T20:19:43.2308335Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-26T20:19:43.2308554Z _=/usr/bin/env 2025-08-26T20:19:43.2308794Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-26T20:19:43.2559972Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-26T20:19:43.2560480Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-26T20:19:43.2560869Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-26T20:19:43.2561264Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-26T20:19:43.2561586Z + BUILD_DIR=build 2025-08-26T20:19:43.2561792Z + BUILD_RENAMED_DIR=build_renamed 2025-08-26T20:19:43.2562068Z + BUILD_BIN_DIR=build/bin 2025-08-26T20:19:43.2562272Z + SHARD_NUMBER=2 2025-08-26T20:19:43.2562459Z + NUM_TEST_SHARDS=2 2025-08-26T20:19:43.2562664Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-26T20:19:43.2562903Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-26T20:19:43.2563120Z + export VALGRIND=ON 2025-08-26T20:19:43.2563306Z + VALGRIND=ON 2025-08-26T20:19:43.2563536Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-26T20:19:43.2563832Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-26T20:19:43.2564070Z + detect_cuda_arch 2025-08-26T20:19:43.2564284Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-26T20:19:43.2564563Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-26T20:19:43.2564812Z + [[ 0 == \1 ]] 2025-08-26T20:19:43.2564978Z + [[ True == \1 ]] 2025-08-26T20:19:43.2565188Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-26T20:19:43.2565458Z ++ realpath build/custom_test_artifacts 2025-08-26T20:19:43.2576195Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-26T20:19:43.2576592Z + [[ -n '' ]] 2025-08-26T20:19:43.2576800Z + echo 'Environment variables' 2025-08-26T20:19:43.2577021Z Environment variables 2025-08-26T20:19:43.2577258Z + env 2025-08-26T20:19:43.2605619Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T20:19:43.2605964Z CONTINUE_THROUGH_ERROR=True 2025-08-26T20:19:43.2606730Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-26T20:19:43.2607724Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-08-26T20:19:43.2608311Z HOSTNAME=d2387f915b28 2025-08-26T20:19:43.2608760Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2609226Z GITHUB_ACTION=__run_2 2025-08-26T20:19:43.2609439Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T20:19:43.2609675Z GITHUB_RUN_NUMBER=149891 2025-08-26T20:19:43.2610005Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-26T20:19:43.2610253Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T20:19:43.2610505Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-26T20:19:43.2610743Z SCCACHE_IDLE_TIMEOUT=0 2025-08-26T20:19:43.2611138Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-26T20:19:43.2611380Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T20:19:43.2611626Z GITHUB_REF_TYPE=branch 2025-08-26T20:19:43.2611855Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2612098Z XLA_CUDA= 2025-08-26T20:19:43.2612274Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-26T20:19:43.2612831Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-26T20:19:43.2613114Z *** 2025-08-26T20:19:43.2613291Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T20:19:43.2613503Z GITHUB_ACTIONS=true 2025-08-26T20:19:43.2613729Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T20:19:43.2614010Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2614276Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2614636Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-26T20:19:43.2614964Z UCC_HOME=/usr 2025-08-26T20:19:43.2615156Z TORCH_SERIALIZATION_DEBUG=1 2025-08-26T20:19:43.2615365Z VERBOSE_TEST_LOGS=False 2025-08-26T20:19:43.2615568Z GITHUB_REF=refs/heads/main 2025-08-26T20:19:43.2615887Z SHARD_NUMBER=2 2025-08-26T20:19:43.2616073Z GITHUB_REF_PROTECTED=true 2025-08-26T20:19:43.2616274Z HOME=/var/lib/jenkins 2025-08-26T20:19:43.2616498Z GITHUB_API_URL=https://api.github.com 2025-08-26T20:19:43.2616742Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T20:19:43.2616964Z UCX_COMMIT= 2025-08-26T20:19:43.2617139Z USE_SYSTEM_NCCL=1 2025-08-26T20:19:43.2617322Z NUM_TEST_SHARDS=2 2025-08-26T20:19:43.2617499Z UCX_HOME=/usr 2025-08-26T20:19:43.2617892Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2618517Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:19:43.2619124Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2619676Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T20:19:43.2620017Z GITHUB_EVENT_NAME=push 2025-08-26T20:19:43.2620224Z DASHBOARD_TAG= 2025-08-26T20:19:43.2620408Z GITHUB_RUN_ID=17248463670 2025-08-26T20:19:43.2620605Z INSTALLED_OPENBLAS= 2025-08-26T20:19:43.2621050Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2621523Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T20:19:43.2621734Z PR_NUMBER= 2025-08-26T20:19:43.2621907Z DESIRED_CUDA= 2025-08-26T20:19:43.2622081Z GITHUB_RUN_ATTEMPT=1 2025-08-26T20:19:43.2622268Z VALGRIND=ON 2025-08-26T20:19:43.2622447Z ANACONDA_PYTHON_VERSION=3.9 2025-08-26T20:19:43.2622701Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T20:19:43.2622976Z TERM=vt100 2025-08-26T20:19:43.2623150Z INSTALLED_VISION=yes 2025-08-26T20:19:43.2623366Z BRANCH=main 2025-08-26T20:19:43.2623546Z SCCACHE_REGION=us-east-1 2025-08-26T20:19:43.2623747Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T20:19:43.2623961Z CUDA_PATH=/usr/local/cuda 2025-08-26T20:19:43.2624325Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-26T20:19:43.2624729Z GITHUB_SERVER_URL=https://github.com 2025-08-26T20:19:43.2624948Z UCC_COMMIT= 2025-08-26T20:19:43.2625120Z REENABLED_ISSUES= 2025-08-26T20:19:43.2625298Z DOCS=yes 2025-08-26T20:19:43.2625524Z SHLVL=1 2025-08-26T20:19:43.2625681Z MAX_JOBS=30 2025-08-26T20:19:43.2625862Z GITHUB_ACTOR_ID=97764156 2025-08-26T20:19:43.2626121Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:19:43.2626397Z GITHUB_REF_NAME=main 2025-08-26T20:19:43.2626679Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-26T20:19:43.2626990Z GITHUB_JOB=test 2025-08-26T20:19:43.2627173Z NO_TEST_TIMEOUT=False 2025-08-26T20:19:43.2627365Z TD_DISTRIBUTED=False 2025-08-26T20:19:43.2627570Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T20:19:43.2627797Z GITHUB_RETENTION_DAYS=90 2025-08-26T20:19:43.2627997Z OPENSSL_DIR=/opt/openssl 2025-08-26T20:19:43.2628196Z GITHUB_ACTION_REPOSITORY= 2025-08-26T20:19:43.2628728Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:19:43.2629259Z GITHUB_BASE_REF= 2025-08-26T20:19:43.2629448Z INSTALLED_ACL= 2025-08-26T20:19:43.2629763Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:19:43.2630099Z CI=true 2025-08-26T20:19:43.2630283Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T20:19:43.2630810Z RUST_LOG=sccache::server=error 2025-08-26T20:19:43.2631029Z JOB_ID=48946862619 2025-08-26T20:19:43.2631204Z GITHUB_HEAD_REF= 2025-08-26T20:19:43.2631385Z GITHUB_ACTION_REF= 2025-08-26T20:19:43.2631615Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-26T20:19:43.2631879Z TEST_SHOWLOCALS=False 2025-08-26T20:19:43.2632067Z GITHUB_WORKFLOW=inductor 2025-08-26T20:19:43.2632270Z DEBIAN_FRONTEND=noninteractive 2025-08-26T20:19:43.2632700Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_69f277ad-e4fa-4ee0-bed8-a4a5b05d4845 2025-08-26T20:19:43.2633228Z NO_TD=False 2025-08-26T20:19:43.2633408Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-26T20:19:43.2633648Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-26T20:19:43.2633878Z _=/usr/bin/env 2025-08-26T20:19:43.2634067Z + echo 'Testing pytorch' 2025-08-26T20:19:43.2634260Z Testing pytorch 2025-08-26T20:19:43.2634472Z + export LANG=C.UTF-8 2025-08-26T20:19:43.2634658Z + LANG=C.UTF-8 2025-08-26T20:19:43.2634834Z + PR_NUMBER= 2025-08-26T20:19:43.2635033Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-26T20:19:43.2635325Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-26T20:19:43.2635608Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]] 2025-08-26T20:19:43.2635905Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-26T20:19:43.2636199Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-26T20:19:43.2636465Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-26T20:19:43.2636732Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-26T20:19:43.2636993Z + [[ dynamic_cpu_inductor_timm == *crossref* ]] 2025-08-26T20:19:43.2637241Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-26T20:19:43.2637509Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-26T20:19:43.2637783Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-26T20:19:43.2638038Z + pip_install ninja==1.10.2 2025-08-26T20:19:43.2638309Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-26T20:19:43.2638643Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-26T20:19:43.6806253Z Collecting ninja==1.10.2 2025-08-26T20:19:43.6912190Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-26T20:19:43.7819450Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-26T20:19:44.6593592Z Installing collected packages: ninja 2025-08-26T20:19:44.6593923Z Attempting uninstall: ninja 2025-08-26T20:19:44.6602188Z Found existing installation: ninja 1.11.1.3 2025-08-26T20:19:44.6623798Z Uninstalling ninja-1.11.1.3: 2025-08-26T20:19:44.6751427Z Successfully uninstalled ninja-1.11.1.3 2025-08-26T20:19:44.7769791Z Successfully installed ninja-1.10.2 2025-08-26T20:19:44.9218115Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:19:44.9221857Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:19:44.9223912Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-26T20:19:44.9224232Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-26T20:19:44.9224525Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-26T20:19:44.9224817Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-26T20:19:44.9225266Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-26T20:19:44.9225727Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-26T20:19:44.9226088Z + cd test 2025-08-26T20:19:44.9226360Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-26T20:19:46.2967697Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-26T20:19:46.2968105Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-26T20:19:46.2968465Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-26T20:19:46.2971850Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-26T20:19:46.2972143Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-26T20:19:46.2972455Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]] 2025-08-26T20:19:46.2972735Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]] 2025-08-26T20:19:46.2973397Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]] 2025-08-26T20:19:46.2973683Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-26T20:19:46.2973972Z + [[ dynamic_cpu_inductor_timm == *inductor* ]] 2025-08-26T20:19:46.2974293Z + [[ dynamic_cpu_inductor_timm != *perf* ]] 2025-08-26T20:19:46.2974586Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-26T20:19:46.2974834Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]] 2025-08-26T20:19:46.2975163Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-08-26T20:19:46.2975488Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-26T20:19:46.2975734Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-26T20:19:46.3204939Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-26T20:19:46.3205321Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-26T20:19:46.3205583Z + cd test 2025-08-26T20:19:46.3205830Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-26T20:19:47.3953644Z PyTorch built with: 2025-08-26T20:19:47.3956362Z - GCC 11.4 2025-08-26T20:19:47.3956559Z - C++ Version: 201703 2025-08-26T20:19:47.3957043Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T20:19:47.3957585Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T20:19:47.3957898Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-26T20:19:47.3958159Z - LAPACK is enabled (usually provided by MKL) 2025-08-26T20:19:47.3958403Z - NNPACK is enabled 2025-08-26T20:19:47.3958611Z - CPU capability usage: AVX512 2025-08-26T20:19:47.3961992Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=262640fd220236042fbf4443cc163c8838c84c3d, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-26T20:19:47.3965079Z 2025-08-26T20:19:47.6828840Z + cd test 2025-08-26T20:19:47.6829561Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-26T20:19:48.7743028Z ATen/Parallel: 2025-08-26T20:19:48.7743426Z at::get_num_threads() : 16 2025-08-26T20:19:48.7743670Z at::get_num_interop_threads() : 16 2025-08-26T20:19:48.7743921Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-26T20:19:48.7744155Z omp_get_max_threads() : 16 2025-08-26T20:19:48.7744577Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T20:19:48.7744971Z mkl_get_max_threads() : 16 2025-08-26T20:19:48.7745263Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T20:19:48.7745616Z std::thread::hardware_concurrency() : 32 2025-08-26T20:19:48.7745858Z Environment variables: 2025-08-26T20:19:48.7746058Z OMP_NUM_THREADS : [not set] 2025-08-26T20:19:48.7746275Z MKL_NUM_THREADS : [not set] 2025-08-26T20:19:48.7746490Z ATen parallel backend: OpenMP 2025-08-26T20:19:48.7746624Z 2025-08-26T20:19:49.0525701Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]] 2025-08-26T20:19:49.0526066Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-26T20:19:49.0526917Z + [[ dynamic_cpu_inductor_timm == *backward* ]] 2025-08-26T20:19:49.0527523Z + [[ dynamic_cpu_inductor_timm == *xla* ]] 2025-08-26T20:19:49.0527772Z + [[ dynamic_cpu_inductor_timm == *vllm* ]] 2025-08-26T20:19:49.0528044Z + [[ dynamic_cpu_inductor_timm == *executorch* ]] 2025-08-26T20:19:49.0528334Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-26T20:19:49.0528630Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-26T20:19:49.0528907Z + [[ dynamic_cpu_inductor_timm == distributed ]] 2025-08-26T20:19:49.0529189Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]] 2025-08-26T20:19:49.0529482Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]] 2025-08-26T20:19:49.0529803Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]] 2025-08-26T20:19:49.0530101Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-26T20:19:49.0530613Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-26T20:19:49.0530942Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]] 2025-08-26T20:19:49.0531213Z + [[ dynamic_cpu_inductor_timm == *timm* ]] 2025-08-26T20:19:49.0531451Z + install_torchvision 2025-08-26T20:19:49.0531650Z + local orig_preload 2025-08-26T20:19:49.0531831Z + local commit 2025-08-26T20:19:49.0532027Z ++ get_pinned_commit vision 2025-08-26T20:19:49.0532256Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-26T20:19:49.0559105Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:19:49.0559453Z + orig_preload= 2025-08-26T20:19:49.0559657Z + '[' -n '' ']' 2025-08-26T20:19:49.0559875Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-26T20:19:49.0560401Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-26T20:19:49.0560997Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:19:49.0561392Z + local wheel_dir=dist/vision 2025-08-26T20:19:49.0561609Z + local found_whl=0 2025-08-26T20:19:49.0561831Z + for file in "${wheel_dir}"/*.whl 2025-08-26T20:19:49.0562173Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-26T20:19:49.0562492Z + found_whl=1 2025-08-26T20:19:49.0562668Z + break 2025-08-26T20:19:49.0562842Z + '[' 1 == 0 ']' 2025-08-26T20:19:49.0563321Z + for file in "${wheel_dir}"/*.whl 2025-08-26T20:19:49.0563681Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T20:19:49.0564149Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-26T20:19:49.0564475Z + local args 2025-08-26T20:19:49.0564787Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-26T20:19:49.0565140Z + for path in "${args[@]}" 2025-08-26T20:19:49.0565485Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-26T20:19:49.0565956Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T20:19:49.0566494Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T20:19:49.3776789Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T20:19:49.3867142Z Installing collected packages: torchvision 2025-08-26T20:19:49.7898619Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-26T20:19:49.8411708Z + '[' -n '' ']' 2025-08-26T20:19:49.8411968Z + id=1 2025-08-26T20:19:49.8412171Z + test_dynamo_benchmark timm_models 1 2025-08-26T20:19:49.8414768Z ++ pwd 2025-08-26T20:19:49.8416214Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-26T20:19:49.8416536Z + local suite=timm_models 2025-08-26T20:19:49.8416751Z + shift 2025-08-26T20:19:49.8416922Z + local shard_id=1 2025-08-26T20:19:49.8417091Z + shift 2025-08-26T20:19:49.8417295Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-26T20:19:49.8417565Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-26T20:19:49.8419433Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-26T20:19:49.8420480Z + local dt=float32 2025-08-26T20:19:49.8420748Z + [[ dynamic_cpu_inductor_timm == *amp* ]] 2025-08-26T20:19:49.8421026Z + [[ dynamic_cpu_inductor_timm == *freezing* ]] 2025-08-26T20:19:49.8421428Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 2025-08-26T20:19:49.8423178Z ++ pwd 2025-08-26T20:19:49.8425535Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-26T20:19:49.8425945Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-26T20:19:49.8445495Z + local name=inference 2025-08-26T20:19:49.8445753Z + shift 2025-08-26T20:19:49.8445943Z + local suite=timm_models 2025-08-26T20:19:49.8446188Z + shift 2025-08-26T20:19:49.8446360Z + local shard_id=1 2025-08-26T20:19:49.8446544Z + shift 2025-08-26T20:19:49.8446715Z + partition_flags=() 2025-08-26T20:19:49.8446913Z + local partition_flags 2025-08-26T20:19:49.8447203Z + [[ -n 2 ]] 2025-08-26T20:19:49.8447380Z + [[ -n 1 ]] 2025-08-26T20:19:49.8447718Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-26T20:19:49.8448105Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-26T20:19:49.8448385Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-26T20:19:49.8448651Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]] 2025-08-26T20:19:49.8448910Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]] 2025-08-26T20:19:49.8449969Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-26T20:19:57.4004962Z 2025-08-26T20:19:57.6098543Z loading model: 0it [00:00, ?it/s] 2025-08-26T20:19:57.6098978Z 2025-08-26T20:19:57.8079253Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-26T20:20:34.5179053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5179231Z 2025-08-26T20:20:34.5179323Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5179593Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5179994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5180352Z return mod(*inputs) 2025-08-26T20:20:34.5180701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5181089Z x = self.forward_features(x) 2025-08-26T20:20:34.5181485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5181886Z x = self.blocks(x) 2025-08-26T20:20:34.5182257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5183528Z x = self.conv_pw(x) 2025-08-26T20:20:34.5183902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5184331Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5184769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5185192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5185379Z 2025-08-26T20:20:34.5185473Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5185719Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5185987Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5186397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5186763Z return mod(*inputs) 2025-08-26T20:20:34.5187131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5188136Z x = self.forward_features(x) 2025-08-26T20:20:34.5188866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5189300Z x = self.blocks(x) 2025-08-26T20:20:34.5189714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5190129Z x = self.conv_pw(x) 2025-08-26T20:20:34.5190500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5190885Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5191017Z 2025-08-26T20:20:34.5191353Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5191785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5192175Z return mod(*inputs) 2025-08-26T20:20:34.5192560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5192953Z x = self.forward_features(x) 2025-08-26T20:20:34.5193371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5193778Z x = self.blocks(x) 2025-08-26T20:20:34.5194162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5194557Z x = self.bn1(x) 2025-08-26T20:20:34.5194889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5195250Z x = self.act(x) 2025-08-26T20:20:34.5195372Z 2025-08-26T20:20:34.5195495Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5195921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5196282Z return mod(*inputs) 2025-08-26T20:20:34.5196647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5197046Z x = self.forward_features(x) 2025-08-26T20:20:34.5197448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5197857Z x = self.blocks(x) 2025-08-26T20:20:34.5198231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5198630Z x = self.conv_dw(x) 2025-08-26T20:20:34.5198981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5199415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5199843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5200377Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5200564Z 2025-08-26T20:20:34.5200683Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5201099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5201482Z return mod(*inputs) 2025-08-26T20:20:34.5201843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5202229Z x = self.forward_features(x) 2025-08-26T20:20:34.5202632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5203043Z x = self.blocks(x) 2025-08-26T20:20:34.5203417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5203801Z x = self.conv_dw(x) 2025-08-26T20:20:34.5204149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5204574Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5205008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5205436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5205621Z 2025-08-26T20:20:34.5205740Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5206146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5206508Z return mod(*inputs) 2025-08-26T20:20:34.5206870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5207583Z x = self.forward_features(x) 2025-08-26T20:20:34.5207999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5208408Z x = self.blocks(x) 2025-08-26T20:20:34.5208781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5209174Z x = self.conv_dw(x) 2025-08-26T20:20:34.5209525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5209952Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5210379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5210814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5210997Z 2025-08-26T20:20:34.5211092Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5211339Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5211577Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5211845Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5212240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5212626Z return mod(*inputs) 2025-08-26T20:20:34.5212988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5213394Z x = self.forward_features(x) 2025-08-26T20:20:34.5213793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5214193Z x = self.blocks(x) 2025-08-26T20:20:34.5214561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5214972Z x = self.conv_dw(x) 2025-08-26T20:20:34.5215318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5215692Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5215827Z 2025-08-26T20:20:34.5216042Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5216445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5216823Z return mod(*inputs) 2025-08-26T20:20:34.5217178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5217556Z x = self.forward_features(x) 2025-08-26T20:20:34.5217958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5218357Z x = self.blocks(x) 2025-08-26T20:20:34.5218727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:20:34.5219120Z x = self.bn2(x) 2025-08-26T20:20:34.5219455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5219824Z x = self.act(x) 2025-08-26T20:20:34.5219938Z 2025-08-26T20:20:34.5220067Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5220472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5220823Z return mod(*inputs) 2025-08-26T20:20:34.5221176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5221566Z x = self.forward_features(x) 2025-08-26T20:20:34.5221965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5222363Z x = self.blocks(x) 2025-08-26T20:20:34.5222797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5223197Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5223559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5223977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5224400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5224828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5225009Z 2025-08-26T20:20:34.5225128Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5225537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5225914Z return mod(*inputs) 2025-08-26T20:20:34.5226263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5226653Z x = self.forward_features(x) 2025-08-26T20:20:34.5227053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5227467Z x = self.blocks(x) 2025-08-26T20:20:34.5227832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5228242Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5228603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5229034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5229458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5229891Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5230079Z 2025-08-26T20:20:34.5230179Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5233482Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5233816Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5234519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5234916Z return mod(*inputs) 2025-08-26T20:20:34.5235308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5235716Z x = self.forward_features(x) 2025-08-26T20:20:34.5236135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5236544Z x = self.blocks(x) 2025-08-26T20:20:34.5236937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5237354Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5237717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5238103Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5238241Z 2025-08-26T20:20:34.5238361Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5238777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5239151Z return mod(*inputs) 2025-08-26T20:20:34.5239517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5239904Z x = self.forward_features(x) 2025-08-26T20:20:34.5240318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5240724Z x = self.blocks(x) 2025-08-26T20:20:34.5241105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:20:34.5241616Z x = self.bn3(x) 2025-08-26T20:20:34.5241953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5242322Z x = F.batch_norm( 2025-08-26T20:20:34.5242435Z 2025-08-26T20:20:34.5242598Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5243013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5243379Z return mod(*inputs) 2025-08-26T20:20:34.5243739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5244129Z x = self.forward_features(x) 2025-08-26T20:20:34.5244534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5244941Z x = self.blocks(x) 2025-08-26T20:20:34.5245310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5245720Z x = self.conv_pw(x) 2025-08-26T20:20:34.5246075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5246511Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5247031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5247481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5247688Z 2025-08-26T20:20:34.5247810Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5248214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5248576Z return mod(*inputs) 2025-08-26T20:20:34.5248970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5249361Z x = self.forward_features(x) 2025-08-26T20:20:34.5249765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5250160Z x = self.blocks(x) 2025-08-26T20:20:34.5250585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5250984Z x = self.conv_pw(x) 2025-08-26T20:20:34.5251333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5251766Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5252196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5252624Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5252808Z 2025-08-26T20:20:34.5252901Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5253145Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5253428Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5253829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5254197Z return mod(*inputs) 2025-08-26T20:20:34.5254561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5254958Z x = self.forward_features(x) 2025-08-26T20:20:34.5255359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5255758Z x = self.blocks(x) 2025-08-26T20:20:34.5256135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5256533Z x = self.conv_pw(x) 2025-08-26T20:20:34.5256883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5257312Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5257455Z 2025-08-26T20:20:34.5257576Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5258004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5258393Z return mod(*inputs) 2025-08-26T20:20:34.5258761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5259149Z x = self.forward_features(x) 2025-08-26T20:20:34.5259561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5259981Z x = self.blocks(x) 2025-08-26T20:20:34.5260359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5260748Z x = self.bn1(x) 2025-08-26T20:20:34.5261100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5261477Z x = self.act(x) 2025-08-26T20:20:34.5261587Z 2025-08-26T20:20:34.5261715Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5262142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5262518Z return mod(*inputs) 2025-08-26T20:20:34.5262881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5263280Z x = self.forward_features(x) 2025-08-26T20:20:34.5263688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5264089Z x = self.blocks(x) 2025-08-26T20:20:34.5264466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5264865Z x = self.conv_dw(x) 2025-08-26T20:20:34.5264990Z 2025-08-26T20:20:34.5265119Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5265540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5265906Z return mod(*inputs) 2025-08-26T20:20:34.5266314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5266703Z x = self.forward_features(x) 2025-08-26T20:20:34.5267107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5267516Z x = self.blocks(x) 2025-08-26T20:20:34.5267887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:20:34.5268280Z x = self.bn2(x) 2025-08-26T20:20:34.5268622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5268988Z x = self.act(x) 2025-08-26T20:20:34.5269099Z 2025-08-26T20:20:34.5269218Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5269622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5269985Z return mod(*inputs) 2025-08-26T20:20:34.5270342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5270729Z x = self.forward_features(x) 2025-08-26T20:20:34.5271133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5271557Z x = self.blocks(x) 2025-08-26T20:20:34.5271929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5272331Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5272685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5273164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5273594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5274034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5274210Z 2025-08-26T20:20:34.5274335Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5274725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5275091Z return mod(*inputs) 2025-08-26T20:20:34.5275453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5275836Z x = self.forward_features(x) 2025-08-26T20:20:34.5276235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5276640Z x = self.blocks(x) 2025-08-26T20:20:34.5277011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5277410Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5277766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5278179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5278600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5279029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5279202Z 2025-08-26T20:20:34.5279301Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5279536Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5279802Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5280197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5280559Z return mod(*inputs) 2025-08-26T20:20:34.5280915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5281340Z x = self.forward_features(x) 2025-08-26T20:20:34.5281751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5282153Z x = self.blocks(x) 2025-08-26T20:20:34.5282521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5282909Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5283328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5283709Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5283838Z 2025-08-26T20:20:34.5283963Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5284376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5284731Z return mod(*inputs) 2025-08-26T20:20:34.5285093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5285483Z x = self.forward_features(x) 2025-08-26T20:20:34.5285883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5286283Z x = self.blocks(x) 2025-08-26T20:20:34.5286661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5287166Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5287314Z 2025-08-26T20:20:34.5287441Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5287847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5288256Z return mod(*inputs) 2025-08-26T20:20:34.5288623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5289022Z x = self.forward_features(x) 2025-08-26T20:20:34.5289444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5289850Z x = self.blocks(x) 2025-08-26T20:20:34.5290230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5290632Z x = self.conv_pw(x) 2025-08-26T20:20:34.5290751Z 2025-08-26T20:20:34.5290879Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5291295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5291676Z return mod(*inputs) 2025-08-26T20:20:34.5292038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5292434Z x = self.forward_features(x) 2025-08-26T20:20:34.5292837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5293238Z x = self.blocks(x) 2025-08-26T20:20:34.5293611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5294019Z x = self.bn1(x) 2025-08-26T20:20:34.5294363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5294732Z x = F.batch_norm( 2025-08-26T20:20:34.5294848Z 2025-08-26T20:20:34.5294969Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5295379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5295762Z return mod(*inputs) 2025-08-26T20:20:34.5296130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5296510Z x = self.forward_features(x) 2025-08-26T20:20:34.5296962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5297362Z x = self.blocks(x) 2025-08-26T20:20:34.5297728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5298113Z x = self.bn1(x) 2025-08-26T20:20:34.5298435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5298792Z x = self.act(x) 2025-08-26T20:20:34.5298902Z 2025-08-26T20:20:34.5298995Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5299262Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5299674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5300049Z return mod(*inputs) 2025-08-26T20:20:34.5300400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5300789Z x = self.forward_features(x) 2025-08-26T20:20:34.5301188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5301578Z x = self.blocks(x) 2025-08-26T20:20:34.5301947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5302340Z x = self.conv_dw(x) 2025-08-26T20:20:34.5302703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5303123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5303548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5304027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5304205Z 2025-08-26T20:20:34.5304306Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5304581Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5304976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5305335Z return mod(*inputs) 2025-08-26T20:20:34.5305692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5306085Z x = self.forward_features(x) 2025-08-26T20:20:34.5306493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5306892Z x = self.blocks(x) 2025-08-26T20:20:34.5307263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5307659Z x = self.conv_dw(x) 2025-08-26T20:20:34.5308007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5308429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5308852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5309283Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5309459Z 2025-08-26T20:20:34.5309567Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5309838Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5310234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5310600Z return mod(*inputs) 2025-08-26T20:20:34.5310955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5311342Z x = self.forward_features(x) 2025-08-26T20:20:34.5311732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5312137Z x = self.blocks(x) 2025-08-26T20:20:34.5312557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5312948Z x = self.conv_dw(x) 2025-08-26T20:20:34.5313293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5313710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5314134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5314563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5314737Z 2025-08-26T20:20:34.5314833Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5315099Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5315498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5315856Z return mod(*inputs) 2025-08-26T20:20:34.5316213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5316593Z x = self.forward_features(x) 2025-08-26T20:20:34.5316983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5317389Z x = self.blocks(x) 2025-08-26T20:20:34.5317755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5318142Z x = self.conv_dw(x) 2025-08-26T20:20:34.5318477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5318939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5319366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5319800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5319976Z 2025-08-26T20:20:34.5320075Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5320310Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5320547Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5320786Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5321049Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5321441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5321800Z return mod(*inputs) 2025-08-26T20:20:34.5322156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5322544Z x = self.forward_features(x) 2025-08-26T20:20:34.5322951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5323348Z x = self.blocks(x) 2025-08-26T20:20:34.5323719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5324117Z x = self.conv_dw(x) 2025-08-26T20:20:34.5324462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5324831Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5324965Z 2025-08-26T20:20:34.5325082Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5325481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5325841Z return mod(*inputs) 2025-08-26T20:20:34.5326193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5326580Z x = self.forward_features(x) 2025-08-26T20:20:34.5327081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5327544Z x = self.blocks(x) 2025-08-26T20:20:34.5327919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:20:34.5328306Z x = self.bn2(x) 2025-08-26T20:20:34.5328647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5329012Z x = F.batch_norm( 2025-08-26T20:20:34.5329125Z 2025-08-26T20:20:34.5329252Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5329657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5330009Z return mod(*inputs) 2025-08-26T20:20:34.5330366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5330932Z x = self.forward_features(x) 2025-08-26T20:20:34.5331344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5331741Z x = self.blocks(x) 2025-08-26T20:20:34.5332113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:20:34.5332505Z x = self.bn2(x) 2025-08-26T20:20:34.5332842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5333204Z x = self.act(x) 2025-08-26T20:20:34.5333312Z 2025-08-26T20:20:34.5333430Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5333840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5334328Z return mod(*inputs) 2025-08-26T20:20:34.5334688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5335075Z x = self.forward_features(x) 2025-08-26T20:20:34.5335483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5335885Z x = self.blocks(x) 2025-08-26T20:20:34.5336255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5336653Z x = self.se(x) 2025-08-26T20:20:34.5337011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5337415Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5337566Z 2025-08-26T20:20:34.5337684Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5338087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5338449Z return mod(*inputs) 2025-08-26T20:20:34.5338805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5339194Z x = self.forward_features(x) 2025-08-26T20:20:34.5339591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5339991Z x = self.blocks(x) 2025-08-26T20:20:34.5340350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5340740Z x = self.se(x) 2025-08-26T20:20:34.5341101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5341499Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5341626Z 2025-08-26T20:20:34.5341742Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5342157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5342522Z return mod(*inputs) 2025-08-26T20:20:34.5342942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5343331Z x = self.forward_features(x) 2025-08-26T20:20:34.5343726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5344133Z x = self.blocks(x) 2025-08-26T20:20:34.5344508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5344901Z x = self.se(x) 2025-08-26T20:20:34.5345254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5345660Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5345809Z 2025-08-26T20:20:34.5345929Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5346334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5346707Z return mod(*inputs) 2025-08-26T20:20:34.5347059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5347452Z x = self.forward_features(x) 2025-08-26T20:20:34.5347852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5348255Z x = self.blocks(x) 2025-08-26T20:20:34.5348616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5349011Z x = self.se(x) 2025-08-26T20:20:34.5349369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5349771Z return x * self.gate(x_se) 2025-08-26T20:20:34.5349956Z 2025-08-26T20:20:34.5350082Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5350488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5350860Z return mod(*inputs) 2025-08-26T20:20:34.5351229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5351624Z x = self.forward_features(x) 2025-08-26T20:20:34.5352028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5352439Z x = self.blocks(x) 2025-08-26T20:20:34.5352814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5353216Z x = self.se(x) 2025-08-26T20:20:34.5353587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5353990Z return x * self.gate(x_se) 2025-08-26T20:20:34.5354135Z 2025-08-26T20:20:34.5354255Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5354670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5355041Z return mod(*inputs) 2025-08-26T20:20:34.5355399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5355798Z x = self.forward_features(x) 2025-08-26T20:20:34.5356204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5356612Z x = self.blocks(x) 2025-08-26T20:20:34.5356988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5357387Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5357521Z 2025-08-26T20:20:34.5357644Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5358065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5358442Z return mod(*inputs) 2025-08-26T20:20:34.5358854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5359251Z x = self.forward_features(x) 2025-08-26T20:20:34.5359659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5360068Z x = self.blocks(x) 2025-08-26T20:20:34.5360438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:20:34.5360826Z x = self.bn3(x) 2025-08-26T20:20:34.5361163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5361527Z x = F.batch_norm( 2025-08-26T20:20:34.5361642Z 2025-08-26T20:20:34.5361763Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5362175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5362562Z return mod(*inputs) 2025-08-26T20:20:34.5362925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5363322Z x = self.forward_features(x) 2025-08-26T20:20:34.5363724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5364123Z x = self.blocks(x) 2025-08-26T20:20:34.5364492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5364889Z x = self.conv_pw(x) 2025-08-26T20:20:34.5365243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5365713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5366141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5366571Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5366752Z 2025-08-26T20:20:34.5366875Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5367370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5367730Z return mod(*inputs) 2025-08-26T20:20:34.5368089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5368485Z x = self.forward_features(x) 2025-08-26T20:20:34.5368883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5369285Z x = self.blocks(x) 2025-08-26T20:20:34.5369655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5370053Z x = self.conv_pw(x) 2025-08-26T20:20:34.5370409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5370828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5371250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5371805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5371994Z 2025-08-26T20:20:34.5372088Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5372339Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5372610Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5373004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5373377Z return mod(*inputs) 2025-08-26T20:20:34.5373746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5374143Z x = self.forward_features(x) 2025-08-26T20:20:34.5374591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5374997Z x = self.blocks(x) 2025-08-26T20:20:34.5375368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5375767Z x = self.conv_pw(x) 2025-08-26T20:20:34.5376113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5376482Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5376616Z 2025-08-26T20:20:34.5376731Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5377138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5377515Z return mod(*inputs) 2025-08-26T20:20:34.5377865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5378266Z x = self.forward_features(x) 2025-08-26T20:20:34.5378671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5379073Z x = self.blocks(x) 2025-08-26T20:20:34.5379441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5379823Z x = self.bn1(x) 2025-08-26T20:20:34.5380158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5380521Z x = F.batch_norm( 2025-08-26T20:20:34.5380631Z 2025-08-26T20:20:34.5380752Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5381195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5381557Z return mod(*inputs) 2025-08-26T20:20:34.5381911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5382296Z x = self.forward_features(x) 2025-08-26T20:20:34.5382690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5383079Z x = self.blocks(x) 2025-08-26T20:20:34.5383444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5383832Z x = self.bn1(x) 2025-08-26T20:20:34.5384164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5384512Z x = self.act(x) 2025-08-26T20:20:34.5384624Z 2025-08-26T20:20:34.5384718Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5384986Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5385386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5385741Z return mod(*inputs) 2025-08-26T20:20:34.5386098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5386482Z x = self.forward_features(x) 2025-08-26T20:20:34.5386883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5387284Z x = self.blocks(x) 2025-08-26T20:20:34.5387641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5388039Z x = self.conv_dw(x) 2025-08-26T20:20:34.5388388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5388811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5389230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5389737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5389926Z 2025-08-26T20:20:34.5390019Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5390290Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5390690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5391048Z return mod(*inputs) 2025-08-26T20:20:34.5391403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5391786Z x = self.forward_features(x) 2025-08-26T20:20:34.5392192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5392601Z x = self.blocks(x) 2025-08-26T20:20:34.5392968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5393369Z x = self.conv_dw(x) 2025-08-26T20:20:34.5393725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5394145Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5394562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5394988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5395175Z 2025-08-26T20:20:34.5395267Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5395508Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5395773Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5396219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5396587Z return mod(*inputs) 2025-08-26T20:20:34.5396943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5397324Z x = self.forward_features(x) 2025-08-26T20:20:34.5397710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5398106Z x = self.blocks(x) 2025-08-26T20:20:34.5398471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5398860Z x = self.conv_dw(x) 2025-08-26T20:20:34.5399204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5399568Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5399699Z 2025-08-26T20:20:34.5399790Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5400056Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5400452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5400809Z return mod(*inputs) 2025-08-26T20:20:34.5401159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5401539Z x = self.forward_features(x) 2025-08-26T20:20:34.5401936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5402328Z x = self.blocks(x) 2025-08-26T20:20:34.5402697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5403084Z x = self.se(x) 2025-08-26T20:20:34.5403446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5403852Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5404001Z 2025-08-26T20:20:34.5404116Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5404568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5404937Z return mod(*inputs) 2025-08-26T20:20:34.5405296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5405685Z x = self.forward_features(x) 2025-08-26T20:20:34.5406079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5406481Z x = self.blocks(x) 2025-08-26T20:20:34.5406847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5407323Z x = self.se(x) 2025-08-26T20:20:34.5407684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5408098Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5408248Z 2025-08-26T20:20:34.5408366Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5408781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5409153Z return mod(*inputs) 2025-08-26T20:20:34.5409512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5409911Z x = self.forward_features(x) 2025-08-26T20:20:34.5410315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5410724Z x = self.blocks(x) 2025-08-26T20:20:34.5411087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5411559Z x = self.se(x) 2025-08-26T20:20:34.5411920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5412321Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5412447Z 2025-08-26T20:20:34.5412573Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5412971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5413332Z return mod(*inputs) 2025-08-26T20:20:34.5413692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5414082Z x = self.forward_features(x) 2025-08-26T20:20:34.5414479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5414888Z x = self.blocks(x) 2025-08-26T20:20:34.5415251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5415644Z x = self.se(x) 2025-08-26T20:20:34.5416005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5416402Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5416549Z 2025-08-26T20:20:34.5416665Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5417066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5417444Z return mod(*inputs) 2025-08-26T20:20:34.5417800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5418187Z x = self.forward_features(x) 2025-08-26T20:20:34.5418587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5418989Z x = self.blocks(x) 2025-08-26T20:20:34.5419358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5419746Z x = self.se(x) 2025-08-26T20:20:34.5420167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5420572Z return x * self.gate(x_se) 2025-08-26T20:20:34.5420704Z 2025-08-26T20:20:34.5420828Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5421234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5421598Z return mod(*inputs) 2025-08-26T20:20:34.5421959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5422347Z x = self.forward_features(x) 2025-08-26T20:20:34.5422746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5423146Z x = self.blocks(x) 2025-08-26T20:20:34.5423517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5423907Z x = self.se(x) 2025-08-26T20:20:34.5424269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5424662Z return x * self.gate(x_se) 2025-08-26T20:20:34.5424801Z 2025-08-26T20:20:34.5424894Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5425160Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5425568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5425939Z return mod(*inputs) 2025-08-26T20:20:34.5426291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5426681Z x = self.forward_features(x) 2025-08-26T20:20:34.5427125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5427527Z x = self.blocks(x) 2025-08-26T20:20:34.5427884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5428278Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5428642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5429078Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5429509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5429939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5430123Z 2025-08-26T20:20:34.5430214Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5430708Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5431122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5431474Z return mod(*inputs) 2025-08-26T20:20:34.5431837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5432224Z x = self.forward_features(x) 2025-08-26T20:20:34.5432624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5433033Z x = self.blocks(x) 2025-08-26T20:20:34.5433393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5433786Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5434142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5434568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5434988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5435412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5435596Z 2025-08-26T20:20:34.5435811Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5436059Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5436326Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5436720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5437087Z return mod(*inputs) 2025-08-26T20:20:34.5437445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5437844Z x = self.forward_features(x) 2025-08-26T20:20:34.5438242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5438651Z x = self.blocks(x) 2025-08-26T20:20:34.5439023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5439425Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5439784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5440156Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5440293Z 2025-08-26T20:20:34.5440409Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5440814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5441177Z return mod(*inputs) 2025-08-26T20:20:34.5441529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5441929Z x = self.forward_features(x) 2025-08-26T20:20:34.5442328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5442804Z x = self.blocks(x) 2025-08-26T20:20:34.5443178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5443583Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5443736Z 2025-08-26T20:20:34.5443853Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5444260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5444624Z return mod(*inputs) 2025-08-26T20:20:34.5444973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5445361Z x = self.forward_features(x) 2025-08-26T20:20:34.5445767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5446172Z x = self.blocks(x) 2025-08-26T20:20:34.5446546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5446999Z x = self.conv_pw(x) 2025-08-26T20:20:34.5447371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5447795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5448216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5448631Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5448818Z 2025-08-26T20:20:34.5448934Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5449333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5449694Z return mod(*inputs) 2025-08-26T20:20:34.5450042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5450420Z x = self.forward_features(x) 2025-08-26T20:20:34.5450819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5451306Z x = self.blocks(x) 2025-08-26T20:20:34.5451673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5452060Z x = self.conv_pw(x) 2025-08-26T20:20:34.5452400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5452822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5453244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5453661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5453844Z 2025-08-26T20:20:34.5453936Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5454170Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5454426Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5454816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5455178Z return mod(*inputs) 2025-08-26T20:20:34.5455524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5455915Z x = self.forward_features(x) 2025-08-26T20:20:34.5456314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5456714Z x = self.blocks(x) 2025-08-26T20:20:34.5457074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5457464Z x = self.conv_pw(x) 2025-08-26T20:20:34.5457812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5458246Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5458372Z 2025-08-26T20:20:34.5458498Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5458896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5459266Z return mod(*inputs) 2025-08-26T20:20:34.5459628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5460021Z x = self.forward_features(x) 2025-08-26T20:20:34.5460419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5460823Z x = self.blocks(x) 2025-08-26T20:20:34.5461200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5461589Z x = self.bn1(x) 2025-08-26T20:20:34.5461931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5462294Z x = F.batch_norm( 2025-08-26T20:20:34.5462415Z 2025-08-26T20:20:34.5462538Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5462960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5463339Z return mod(*inputs) 2025-08-26T20:20:34.5463700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5464087Z x = self.forward_features(x) 2025-08-26T20:20:34.5464488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5464894Z x = self.blocks(x) 2025-08-26T20:20:34.5465260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5465651Z x = self.bn1(x) 2025-08-26T20:20:34.5465992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5466355Z x = self.act(x) 2025-08-26T20:20:34.5466466Z 2025-08-26T20:20:34.5466618Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5466882Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5467307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5467678Z return mod(*inputs) 2025-08-26T20:20:34.5468030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5468407Z x = self.forward_features(x) 2025-08-26T20:20:34.5468815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5469218Z x = self.blocks(x) 2025-08-26T20:20:34.5469589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5469979Z x = self.conv_dw(x) 2025-08-26T20:20:34.5470321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5470737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5471161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5471590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5471765Z 2025-08-26T20:20:34.5471865Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5472128Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5472531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5472910Z return mod(*inputs) 2025-08-26T20:20:34.5473320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5473710Z x = self.forward_features(x) 2025-08-26T20:20:34.5474118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5474519Z x = self.blocks(x) 2025-08-26T20:20:34.5474891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5475281Z x = self.conv_dw(x) 2025-08-26T20:20:34.5475619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5476043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5476471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5476895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5477074Z 2025-08-26T20:20:34.5477166Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5477409Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5477678Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5478084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5478448Z return mod(*inputs) 2025-08-26T20:20:34.5478797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5479186Z x = self.forward_features(x) 2025-08-26T20:20:34.5479590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5479992Z x = self.blocks(x) 2025-08-26T20:20:34.5480355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5480755Z x = self.conv_dw(x) 2025-08-26T20:20:34.5481103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5481474Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5481602Z 2025-08-26T20:20:34.5481761Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5482030Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5482438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5482808Z return mod(*inputs) 2025-08-26T20:20:34.5483168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5483555Z x = self.forward_features(x) 2025-08-26T20:20:34.5483966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5484373Z x = self.blocks(x) 2025-08-26T20:20:34.5484750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5485142Z x = self.se(x) 2025-08-26T20:20:34.5485514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5485930Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5486078Z 2025-08-26T20:20:34.5486205Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5486618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5487077Z return mod(*inputs) 2025-08-26T20:20:34.5487450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5487837Z x = self.forward_features(x) 2025-08-26T20:20:34.5488238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5488690Z x = self.blocks(x) 2025-08-26T20:20:34.5489049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5489441Z x = self.se(x) 2025-08-26T20:20:34.5489810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5490214Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5490354Z 2025-08-26T20:20:34.5490469Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5490874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5491246Z return mod(*inputs) 2025-08-26T20:20:34.5491603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5491996Z x = self.forward_features(x) 2025-08-26T20:20:34.5492385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5492785Z x = self.blocks(x) 2025-08-26T20:20:34.5493152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5493542Z x = self.se(x) 2025-08-26T20:20:34.5493892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5494283Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5494412Z 2025-08-26T20:20:34.5494525Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5494923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5495301Z return mod(*inputs) 2025-08-26T20:20:34.5495647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5496035Z x = self.forward_features(x) 2025-08-26T20:20:34.5496434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5496842Z x = self.blocks(x) 2025-08-26T20:20:34.5497242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5497639Z x = self.se(x) 2025-08-26T20:20:34.5497997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5498405Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5498543Z 2025-08-26T20:20:34.5498664Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5499062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5499428Z return mod(*inputs) 2025-08-26T20:20:34.5499790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5500188Z x = self.forward_features(x) 2025-08-26T20:20:34.5500579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5500988Z x = self.blocks(x) 2025-08-26T20:20:34.5501359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5501753Z x = self.se(x) 2025-08-26T20:20:34.5502113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5502510Z return x * self.gate(x_se) 2025-08-26T20:20:34.5502646Z 2025-08-26T20:20:34.5502762Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5503169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5503537Z return mod(*inputs) 2025-08-26T20:20:34.5503884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5504335Z x = self.forward_features(x) 2025-08-26T20:20:34.5504734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5505138Z x = self.blocks(x) 2025-08-26T20:20:34.5505505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5505888Z x = self.se(x) 2025-08-26T20:20:34.5506248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5506647Z return x * self.gate(x_se) 2025-08-26T20:20:34.5506777Z 2025-08-26T20:20:34.5506877Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5507140Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5507543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5507907Z return mod(*inputs) 2025-08-26T20:20:34.5508268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5508653Z x = self.forward_features(x) 2025-08-26T20:20:34.5509049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5509446Z x = self.blocks(x) 2025-08-26T20:20:34.5509817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5510211Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5510575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5510992Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5511418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5511847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5512023Z 2025-08-26T20:20:34.5512120Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5512421Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5512825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5513202Z return mod(*inputs) 2025-08-26T20:20:34.5513558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5513944Z x = self.forward_features(x) 2025-08-26T20:20:34.5514342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5514745Z x = self.blocks(x) 2025-08-26T20:20:34.5515115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5515516Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5515863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5516280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5516706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5517129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5517305Z 2025-08-26T20:20:34.5517398Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5517640Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5517909Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5518308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5518672Z return mod(*inputs) 2025-08-26T20:20:34.5542675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5543448Z x = self.forward_features(x) 2025-08-26T20:20:34.5543887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5544310Z x = self.blocks(x) 2025-08-26T20:20:34.5544690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5545103Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5545480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5545856Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5545988Z 2025-08-26T20:20:34.5546116Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5546540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5546909Z return mod(*inputs) 2025-08-26T20:20:34.5547274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5547653Z x = self.forward_features(x) 2025-08-26T20:20:34.5548045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5548440Z x = self.blocks(x) 2025-08-26T20:20:34.5548819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5549228Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5549375Z 2025-08-26T20:20:34.5549501Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5549915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5550291Z return mod(*inputs) 2025-08-26T20:20:34.5550645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5551025Z x = self.forward_features(x) 2025-08-26T20:20:34.5551409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5551799Z x = self.blocks(x) 2025-08-26T20:20:34.5552250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5552649Z x = self.conv_pw(x) 2025-08-26T20:20:34.5552995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5553448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5553873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5554304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5554484Z 2025-08-26T20:20:34.5554615Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5555024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5555392Z return mod(*inputs) 2025-08-26T20:20:34.5555754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5556147Z x = self.forward_features(x) 2025-08-26T20:20:34.5556541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5556946Z x = self.blocks(x) 2025-08-26T20:20:34.5557320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5557714Z x = self.conv_pw(x) 2025-08-26T20:20:34.5558065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5558490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5558994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5559425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5559603Z 2025-08-26T20:20:34.5559710Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5559957Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5560219Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5560630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5560997Z return mod(*inputs) 2025-08-26T20:20:34.5561357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5561748Z x = self.forward_features(x) 2025-08-26T20:20:34.5562158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5562570Z x = self.blocks(x) 2025-08-26T20:20:34.5562944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5563343Z x = self.conv_pw(x) 2025-08-26T20:20:34.5563698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5564080Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5564205Z 2025-08-26T20:20:34.5564331Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5564745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5565112Z return mod(*inputs) 2025-08-26T20:20:34.5565470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5565864Z x = self.forward_features(x) 2025-08-26T20:20:34.5566273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5566697Z x = self.blocks(x) 2025-08-26T20:20:34.5567164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5567618Z x = self.bn1(x) 2025-08-26T20:20:34.5567855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5567934Z x = F.batch_norm( 2025-08-26T20:20:34.5567938Z 2025-08-26T20:20:34.5568079Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5568324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5568399Z return mod(*inputs) 2025-08-26T20:20:34.5568650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5568730Z x = self.forward_features(x) 2025-08-26T20:20:34.5569003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5569077Z x = self.blocks(x) 2025-08-26T20:20:34.5569343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5569414Z x = self.bn1(x) 2025-08-26T20:20:34.5569640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5569720Z x = self.act(x) 2025-08-26T20:20:34.5569724Z 2025-08-26T20:20:34.5569819Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5569944Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5570178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5570253Z return mod(*inputs) 2025-08-26T20:20:34.5570507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5570627Z x = self.forward_features(x) 2025-08-26T20:20:34.5570895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5570966Z x = self.blocks(x) 2025-08-26T20:20:34.5571215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5571296Z x = self.conv_dw(x) 2025-08-26T20:20:34.5571531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5571659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5571896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5572013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5572024Z 2025-08-26T20:20:34.5572112Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5572230Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5572454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5572526Z return mod(*inputs) 2025-08-26T20:20:34.5572761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5572840Z x = self.forward_features(x) 2025-08-26T20:20:34.5573101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5573181Z x = self.blocks(x) 2025-08-26T20:20:34.5573437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5573515Z x = self.conv_dw(x) 2025-08-26T20:20:34.5573745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5573866Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5574116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5574272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5574276Z 2025-08-26T20:20:34.5574373Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5574461Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5574578Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5574807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5574883Z return mod(*inputs) 2025-08-26T20:20:34.5575126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5575205Z x = self.forward_features(x) 2025-08-26T20:20:34.5575464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5575548Z x = self.blocks(x) 2025-08-26T20:20:34.5575801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5575881Z x = self.conv_dw(x) 2025-08-26T20:20:34.5576120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5576196Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5576207Z 2025-08-26T20:20:34.5576293Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5576407Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5576630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5576702Z return mod(*inputs) 2025-08-26T20:20:34.5576938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5577089Z x = self.forward_features(x) 2025-08-26T20:20:34.5577342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5577423Z x = self.blocks(x) 2025-08-26T20:20:34.5577676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5577754Z x = self.se(x) 2025-08-26T20:20:34.5578003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5578091Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5578095Z 2025-08-26T20:20:34.5578216Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5578436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5578517Z return mod(*inputs) 2025-08-26T20:20:34.5578754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5578835Z x = self.forward_features(x) 2025-08-26T20:20:34.5579107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5579178Z x = self.blocks(x) 2025-08-26T20:20:34.5579435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5579504Z x = self.se(x) 2025-08-26T20:20:34.5579761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5579845Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5579849Z 2025-08-26T20:20:34.5579968Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5580197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5580274Z return mod(*inputs) 2025-08-26T20:20:34.5580514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5580593Z x = self.forward_features(x) 2025-08-26T20:20:34.5580889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5580971Z x = self.blocks(x) 2025-08-26T20:20:34.5581220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5581297Z x = self.se(x) 2025-08-26T20:20:34.5581545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5581622Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5581626Z 2025-08-26T20:20:34.5581748Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5581968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5582051Z return mod(*inputs) 2025-08-26T20:20:34.5582285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5582363Z x = self.forward_features(x) 2025-08-26T20:20:34.5582640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5582712Z x = self.blocks(x) 2025-08-26T20:20:34.5582970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5583038Z x = self.se(x) 2025-08-26T20:20:34.5583294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5583375Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5583379Z 2025-08-26T20:20:34.5583493Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5583758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5583832Z return mod(*inputs) 2025-08-26T20:20:34.5584084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5584166Z x = self.forward_features(x) 2025-08-26T20:20:34.5584436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5584519Z x = self.blocks(x) 2025-08-26T20:20:34.5584777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5584849Z x = self.se(x) 2025-08-26T20:20:34.5585090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5585167Z return x * self.gate(x_se) 2025-08-26T20:20:34.5585171Z 2025-08-26T20:20:34.5585291Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5585514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5585591Z return mod(*inputs) 2025-08-26T20:20:34.5585826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5585903Z x = self.forward_features(x) 2025-08-26T20:20:34.5586178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5586247Z x = self.blocks(x) 2025-08-26T20:20:34.5586505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5586572Z x = self.se(x) 2025-08-26T20:20:34.5586831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5586909Z return x * self.gate(x_se) 2025-08-26T20:20:34.5586915Z 2025-08-26T20:20:34.5587002Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5587121Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5587379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5587460Z return mod(*inputs) 2025-08-26T20:20:34.5587687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5587766Z x = self.forward_features(x) 2025-08-26T20:20:34.5588041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5588112Z x = self.blocks(x) 2025-08-26T20:20:34.5588365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5588451Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5588680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5588808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5589043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5589167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5589171Z 2025-08-26T20:20:34.5589262Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5589382Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5589614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5589688Z return mod(*inputs) 2025-08-26T20:20:34.5589929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5590009Z x = self.forward_features(x) 2025-08-26T20:20:34.5590285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5590400Z x = self.blocks(x) 2025-08-26T20:20:34.5590653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5590738Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5590975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5591103Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5591343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5591460Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5591464Z 2025-08-26T20:20:34.5591559Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5591647Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5591770Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5591992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5592065Z return mod(*inputs) 2025-08-26T20:20:34.5592322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5592402Z x = self.forward_features(x) 2025-08-26T20:20:34.5592674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5592746Z x = self.blocks(x) 2025-08-26T20:20:34.5593008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5593083Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5593311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5593397Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5593404Z 2025-08-26T20:20:34.5593518Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5593743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5593815Z return mod(*inputs) 2025-08-26T20:20:34.5594081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5594170Z x = self.forward_features(x) 2025-08-26T20:20:34.5594431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5594510Z x = self.blocks(x) 2025-08-26T20:20:34.5594764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5594847Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5594851Z 2025-08-26T20:20:34.5594976Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5595199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5595278Z return mod(*inputs) 2025-08-26T20:20:34.5595516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5595594Z x = self.forward_features(x) 2025-08-26T20:20:34.5595864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5595935Z x = self.blocks(x) 2025-08-26T20:20:34.5596195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5596266Z x = self.conv_pw(x) 2025-08-26T20:20:34.5596270Z 2025-08-26T20:20:34.5596392Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5596613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5596723Z return mod(*inputs) 2025-08-26T20:20:34.5596962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5597042Z x = self.forward_features(x) 2025-08-26T20:20:34.5597313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5597385Z x = self.blocks(x) 2025-08-26T20:20:34.5597641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5597720Z x = self.bn1(x) 2025-08-26T20:20:34.5597944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5598022Z x = F.batch_norm( 2025-08-26T20:20:34.5598026Z 2025-08-26T20:20:34.5598141Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5598360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5598444Z return mod(*inputs) 2025-08-26T20:20:34.5598678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5598766Z x = self.forward_features(x) 2025-08-26T20:20:34.5599031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5599103Z x = self.blocks(x) 2025-08-26T20:20:34.5599363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5599431Z x = self.bn1(x) 2025-08-26T20:20:34.5599664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5599735Z x = self.act(x) 2025-08-26T20:20:34.5599739Z 2025-08-26T20:20:34.5599835Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5599952Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5600173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5600256Z return mod(*inputs) 2025-08-26T20:20:34.5600541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5600630Z x = self.forward_features(x) 2025-08-26T20:20:34.5600890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5600964Z x = self.blocks(x) 2025-08-26T20:20:34.5601229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5601301Z x = self.conv_dw(x) 2025-08-26T20:20:34.5601538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5601655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5601900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5602026Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5602030Z 2025-08-26T20:20:34.5602122Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5602244Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5602462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5602544Z return mod(*inputs) 2025-08-26T20:20:34.5602779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5602859Z x = self.forward_features(x) 2025-08-26T20:20:34.5603129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5603201Z x = self.blocks(x) 2025-08-26T20:20:34.5603502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5603573Z x = self.conv_dw(x) 2025-08-26T20:20:34.5603803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5603924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5604161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5604282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5604285Z 2025-08-26T20:20:34.5604374Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5604488Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5604715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5604789Z return mod(*inputs) 2025-08-26T20:20:34.5605030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5605109Z x = self.forward_features(x) 2025-08-26T20:20:34.5605368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5605450Z x = self.blocks(x) 2025-08-26T20:20:34.5605699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5605777Z x = self.conv_dw(x) 2025-08-26T20:20:34.5606003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5606126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5606365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5606479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5606485Z 2025-08-26T20:20:34.5606584Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5606674Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5606769Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5606923Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5607239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5607327Z return mod(*inputs) 2025-08-26T20:20:34.5607563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5607650Z x = self.forward_features(x) 2025-08-26T20:20:34.5607911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5607983Z x = self.blocks(x) 2025-08-26T20:20:34.5608243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5608319Z x = self.conv_dw(x) 2025-08-26T20:20:34.5608555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5608635Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5608639Z 2025-08-26T20:20:34.5608728Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5608852Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5609070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5609155Z return mod(*inputs) 2025-08-26T20:20:34.5609387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5609466Z x = self.forward_features(x) 2025-08-26T20:20:34.5609732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5609856Z x = self.blocks(x) 2025-08-26T20:20:34.5610115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5610183Z x = self.se(x) 2025-08-26T20:20:34.5610445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5610532Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5610536Z 2025-08-26T20:20:34.5610651Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5610879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5610951Z return mod(*inputs) 2025-08-26T20:20:34.5611194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5611272Z x = self.forward_features(x) 2025-08-26T20:20:34.5611532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5611615Z x = self.blocks(x) 2025-08-26T20:20:34.5611865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5611943Z x = self.se(x) 2025-08-26T20:20:34.5612193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5612276Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5612279Z 2025-08-26T20:20:34.5612402Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5612621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5612701Z return mod(*inputs) 2025-08-26T20:20:34.5612938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5613022Z x = self.forward_features(x) 2025-08-26T20:20:34.5613289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5613360Z x = self.blocks(x) 2025-08-26T20:20:34.5613663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5613733Z x = self.se(x) 2025-08-26T20:20:34.5613989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5614067Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5614073Z 2025-08-26T20:20:34.5614187Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5614412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5614484Z return mod(*inputs) 2025-08-26T20:20:34.5614729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5614811Z x = self.forward_features(x) 2025-08-26T20:20:34.5615071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5615149Z x = self.blocks(x) 2025-08-26T20:20:34.5615402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5615478Z x = self.se(x) 2025-08-26T20:20:34.5615727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5615806Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5615818Z 2025-08-26T20:20:34.5615932Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5616151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5616230Z return mod(*inputs) 2025-08-26T20:20:34.5616467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5616618Z x = self.forward_features(x) 2025-08-26T20:20:34.5616877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5616951Z x = self.blocks(x) 2025-08-26T20:20:34.5617210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5617279Z x = self.se(x) 2025-08-26T20:20:34.5617540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5617618Z return x * self.gate(x_se) 2025-08-26T20:20:34.5617621Z 2025-08-26T20:20:34.5617737Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5617963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5618036Z return mod(*inputs) 2025-08-26T20:20:34.5618281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5618361Z x = self.forward_features(x) 2025-08-26T20:20:34.5618624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5618705Z x = self.blocks(x) 2025-08-26T20:20:34.5618959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5619033Z x = self.se(x) 2025-08-26T20:20:34.5619280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5619357Z return x * self.gate(x_se) 2025-08-26T20:20:34.5619367Z 2025-08-26T20:20:34.5619482Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5619702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5619786Z return mod(*inputs) 2025-08-26T20:20:34.5620020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5620105Z x = self.forward_features(x) 2025-08-26T20:20:34.5620404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5620478Z x = self.blocks(x) 2025-08-26T20:20:34.5620739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5620817Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5620821Z 2025-08-26T20:20:34.5620944Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5621166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5621240Z return mod(*inputs) 2025-08-26T20:20:34.5621490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5621572Z x = self.forward_features(x) 2025-08-26T20:20:34.5621836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5621910Z x = self.blocks(x) 2025-08-26T20:20:34.5622163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:20:34.5622241Z x = self.bn3(x) 2025-08-26T20:20:34.5622466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5622547Z x = F.batch_norm( 2025-08-26T20:20:34.5622551Z 2025-08-26T20:20:34.5622666Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5622893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5622965Z return mod(*inputs) 2025-08-26T20:20:34.5623270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5623359Z x = self.forward_features(x) 2025-08-26T20:20:34.5623626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5623704Z x = self.blocks(x) 2025-08-26T20:20:34.5623952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5624023Z x = self.conv_pw(x) 2025-08-26T20:20:34.5624259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5624378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5624623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5624740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5624746Z 2025-08-26T20:20:34.5624860Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5625097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5625171Z return mod(*inputs) 2025-08-26T20:20:34.5625410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5625489Z x = self.forward_features(x) 2025-08-26T20:20:34.5625767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5625837Z x = self.blocks(x) 2025-08-26T20:20:34.5626086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5626165Z x = self.conv_pw(x) 2025-08-26T20:20:34.5626401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5626528Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5626770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5626932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5626944Z 2025-08-26T20:20:34.5627036Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5627125Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5627245Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5627468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5627540Z return mod(*inputs) 2025-08-26T20:20:34.5627788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5627868Z x = self.forward_features(x) 2025-08-26T20:20:34.5628145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5628216Z x = self.blocks(x) 2025-08-26T20:20:34.5628481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5628553Z x = self.conv_pw(x) 2025-08-26T20:20:34.5628794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5628877Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5628881Z 2025-08-26T20:20:34.5628994Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5629231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5629301Z return mod(*inputs) 2025-08-26T20:20:34.5629537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5629662Z x = self.forward_features(x) 2025-08-26T20:20:34.5629933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5630012Z x = self.blocks(x) 2025-08-26T20:20:34.5630264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5630334Z x = self.bn1(x) 2025-08-26T20:20:34.5630867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5630945Z x = F.batch_norm( 2025-08-26T20:20:34.5630949Z 2025-08-26T20:20:34.5631072Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5631293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5631366Z return mod(*inputs) 2025-08-26T20:20:34.5631609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5631694Z x = self.forward_features(x) 2025-08-26T20:20:34.5631966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5632038Z x = self.blocks(x) 2025-08-26T20:20:34.5632298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5632368Z x = self.bn1(x) 2025-08-26T20:20:34.5632589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5632670Z x = self.act(x) 2025-08-26T20:20:34.5632674Z 2025-08-26T20:20:34.5632765Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5632889Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5633124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5633199Z return mod(*inputs) 2025-08-26T20:20:34.5633451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5633531Z x = self.forward_features(x) 2025-08-26T20:20:34.5633892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5633966Z x = self.blocks(x) 2025-08-26T20:20:34.5634220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5634300Z x = self.conv_dw(x) 2025-08-26T20:20:34.5634530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5634655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5634898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5635015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5635028Z 2025-08-26T20:20:34.5635117Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5635232Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5635461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5635534Z return mod(*inputs) 2025-08-26T20:20:34.5635776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5635855Z x = self.forward_features(x) 2025-08-26T20:20:34.5636116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5636196Z x = self.blocks(x) 2025-08-26T20:20:34.5636448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5636527Z x = self.conv_dw(x) 2025-08-26T20:20:34.5636814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5636928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5637175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5637291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5637295Z 2025-08-26T20:20:34.5637391Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5637503Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5637721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5637804Z return mod(*inputs) 2025-08-26T20:20:34.5638035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5638118Z x = self.forward_features(x) 2025-08-26T20:20:34.5638379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5638455Z x = self.blocks(x) 2025-08-26T20:20:34.5638707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5638777Z x = self.conv_dw(x) 2025-08-26T20:20:34.5639012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5639127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5639372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5639483Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5639487Z 2025-08-26T20:20:34.5639576Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5639699Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5639922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5640002Z return mod(*inputs) 2025-08-26T20:20:34.5640274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5640356Z x = self.forward_features(x) 2025-08-26T20:20:34.5640628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5640699Z x = self.blocks(x) 2025-08-26T20:20:34.5640958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5641030Z x = self.conv_dw(x) 2025-08-26T20:20:34.5641258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5641382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5641627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5641748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5641752Z 2025-08-26T20:20:34.5641843Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5641939Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5642026Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5642111Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5642231Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5642451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5642532Z return mod(*inputs) 2025-08-26T20:20:34.5642768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5642848Z x = self.forward_features(x) 2025-08-26T20:20:34.5643155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5643227Z x = self.blocks(x) 2025-08-26T20:20:34.5643487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5643561Z x = self.conv_dw(x) 2025-08-26T20:20:34.5643791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5643877Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5643882Z 2025-08-26T20:20:34.5643969Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5644091Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5644319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5644392Z return mod(*inputs) 2025-08-26T20:20:34.5644643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5644725Z x = self.forward_features(x) 2025-08-26T20:20:34.5644994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5645069Z x = self.blocks(x) 2025-08-26T20:20:34.5645319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5645395Z x = self.se(x) 2025-08-26T20:20:34.5645644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5645736Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5645739Z 2025-08-26T20:20:34.5645853Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5646091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5646162Z return mod(*inputs) 2025-08-26T20:20:34.5646398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5646483Z x = self.forward_features(x) 2025-08-26T20:20:34.5646811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5646897Z x = self.blocks(x) 2025-08-26T20:20:34.5647222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5647298Z x = self.se(x) 2025-08-26T20:20:34.5647552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5647631Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5647635Z 2025-08-26T20:20:34.5647759Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5647978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5648056Z return mod(*inputs) 2025-08-26T20:20:34.5648297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5648374Z x = self.forward_features(x) 2025-08-26T20:20:34.5648640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5648711Z x = self.blocks(x) 2025-08-26T20:20:34.5648960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5649036Z x = self.se(x) 2025-08-26T20:20:34.5649280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5649363Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5649367Z 2025-08-26T20:20:34.5649482Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5649717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5649838Z return mod(*inputs) 2025-08-26T20:20:34.5650069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5650158Z x = self.forward_features(x) 2025-08-26T20:20:34.5650416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5650493Z x = self.blocks(x) 2025-08-26T20:20:34.5650745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5650813Z x = self.se(x) 2025-08-26T20:20:34.5651066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5651148Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5651152Z 2025-08-26T20:20:34.5651269Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5651491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5651563Z return mod(*inputs) 2025-08-26T20:20:34.5651806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5651885Z x = self.forward_features(x) 2025-08-26T20:20:34.5652152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5652223Z x = self.blocks(x) 2025-08-26T20:20:34.5652478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5652546Z x = self.se(x) 2025-08-26T20:20:34.5652792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5652879Z return x * self.gate(x_se) 2025-08-26T20:20:34.5652885Z 2025-08-26T20:20:34.5652999Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5653238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5653311Z return mod(*inputs) 2025-08-26T20:20:34.5653583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5653673Z x = self.forward_features(x) 2025-08-26T20:20:34.5653942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5654022Z x = self.blocks(x) 2025-08-26T20:20:34.5654271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5654340Z x = self.se(x) 2025-08-26T20:20:34.5654595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5654677Z return x * self.gate(x_se) 2025-08-26T20:20:34.5654681Z 2025-08-26T20:20:34.5654780Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5654894Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5655113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5655196Z return mod(*inputs) 2025-08-26T20:20:34.5655428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5655515Z x = self.forward_features(x) 2025-08-26T20:20:34.5655772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5655852Z x = self.blocks(x) 2025-08-26T20:20:34.5656105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5656180Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5656458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5656581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5656828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5656946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5656950Z 2025-08-26T20:20:34.5657039Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5657159Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5657378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5657459Z return mod(*inputs) 2025-08-26T20:20:34.5657690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5657768Z x = self.forward_features(x) 2025-08-26T20:20:34.5658038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5658108Z x = self.blocks(x) 2025-08-26T20:20:34.5658367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5658442Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5658671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5658796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5659035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5659159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5659162Z 2025-08-26T20:20:34.5659252Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5659347Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5659462Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5659682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5659763Z return mod(*inputs) 2025-08-26T20:20:34.5660031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5660119Z x = self.forward_features(x) 2025-08-26T20:20:34.5660379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5660451Z x = self.blocks(x) 2025-08-26T20:20:34.5660715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5660789Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5661029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5661108Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5661112Z 2025-08-26T20:20:34.5661225Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5661456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5661530Z return mod(*inputs) 2025-08-26T20:20:34.5661773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5661851Z x = self.forward_features(x) 2025-08-26T20:20:34.5662112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5662190Z x = self.blocks(x) 2025-08-26T20:20:34.5662442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5662533Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5662537Z 2025-08-26T20:20:34.5662668Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5662925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5663004Z return mod(*inputs) 2025-08-26T20:20:34.5663238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5663317Z x = self.forward_features(x) 2025-08-26T20:20:34.5663588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5663660Z x = self.blocks(x) 2025-08-26T20:20:34.5663919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5663992Z x = self.conv_pw(x) 2025-08-26T20:20:34.5664219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5664344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5664584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5664707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5664710Z 2025-08-26T20:20:34.5664825Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5665050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5665121Z return mod(*inputs) 2025-08-26T20:20:34.5665352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5665438Z x = self.forward_features(x) 2025-08-26T20:20:34.5665697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5665776Z x = self.blocks(x) 2025-08-26T20:20:34.5666025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5666100Z x = self.conv_pw(x) 2025-08-26T20:20:34.5666337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5666487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5666740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5666854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5666857Z 2025-08-26T20:20:34.5666954Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5667043Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5667158Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5667389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5667461Z return mod(*inputs) 2025-08-26T20:20:34.5667708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5667786Z x = self.forward_features(x) 2025-08-26T20:20:34.5668051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5668132Z x = self.blocks(x) 2025-08-26T20:20:34.5668388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5668466Z x = self.conv_pw(x) 2025-08-26T20:20:34.5668697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5668772Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5668775Z 2025-08-26T20:20:34.5668897Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5669118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5669951Z return mod(*inputs) 2025-08-26T20:20:34.5670189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5670268Z x = self.forward_features(x) 2025-08-26T20:20:34.5670542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5670612Z x = self.blocks(x) 2025-08-26T20:20:34.5670870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5670938Z x = self.bn1(x) 2025-08-26T20:20:34.5671164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5671242Z x = F.batch_norm( 2025-08-26T20:20:34.5671246Z 2025-08-26T20:20:34.5671362Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5671588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5671662Z return mod(*inputs) 2025-08-26T20:20:34.5671904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5671984Z x = self.forward_features(x) 2025-08-26T20:20:34.5672244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5672321Z x = self.blocks(x) 2025-08-26T20:20:34.5672574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5672649Z x = self.bn1(x) 2025-08-26T20:20:34.5672875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5672944Z x = self.act(x) 2025-08-26T20:20:34.5672948Z 2025-08-26T20:20:34.5673045Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5673163Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5673389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5673461Z return mod(*inputs) 2025-08-26T20:20:34.5673743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5673834Z x = self.forward_features(x) 2025-08-26T20:20:34.5674098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5674176Z x = self.blocks(x) 2025-08-26T20:20:34.5674430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5674502Z x = self.conv_dw(x) 2025-08-26T20:20:34.5674743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5674861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5675120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5675238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5675245Z 2025-08-26T20:20:34.5675343Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5675459Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5675676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5675759Z return mod(*inputs) 2025-08-26T20:20:34.5675996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5676083Z x = self.forward_features(x) 2025-08-26T20:20:34.5676345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5676417Z x = self.blocks(x) 2025-08-26T20:20:34.5676720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5676791Z x = self.conv_dw(x) 2025-08-26T20:20:34.5677032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5677148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5677388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5677511Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5677515Z 2025-08-26T20:20:34.5677603Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5677724Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5677941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5678020Z return mod(*inputs) 2025-08-26T20:20:34.5678258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5678335Z x = self.forward_features(x) 2025-08-26T20:20:34.5678606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5678678Z x = self.blocks(x) 2025-08-26T20:20:34.5678946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5679016Z x = self.conv_dw(x) 2025-08-26T20:20:34.5679245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5679367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5679611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5679732Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5679739Z 2025-08-26T20:20:34.5679827Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5679940Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5680203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5680278Z return mod(*inputs) 2025-08-26T20:20:34.5680520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5680600Z x = self.forward_features(x) 2025-08-26T20:20:34.5680863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5680943Z x = self.blocks(x) 2025-08-26T20:20:34.5681194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5681275Z x = self.conv_dw(x) 2025-08-26T20:20:34.5681504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5681626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5681869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5681984Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5681988Z 2025-08-26T20:20:34.5682086Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5682175Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5682268Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5682353Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5682468Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5682696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5682768Z return mod(*inputs) 2025-08-26T20:20:34.5683049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5683128Z x = self.forward_features(x) 2025-08-26T20:20:34.5683389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5683468Z x = self.blocks(x) 2025-08-26T20:20:34.5683718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5683797Z x = self.conv_dw(x) 2025-08-26T20:20:34.5684022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5684096Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5684100Z 2025-08-26T20:20:34.5684194Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5684306Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5684531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5684606Z return mod(*inputs) 2025-08-26T20:20:34.5684837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5684925Z x = self.forward_features(x) 2025-08-26T20:20:34.5685186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5685264Z x = self.blocks(x) 2025-08-26T20:20:34.5685516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5685592Z x = self.se(x) 2025-08-26T20:20:34.5685840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5685925Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5685929Z 2025-08-26T20:20:34.5686050Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5686270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5686350Z return mod(*inputs) 2025-08-26T20:20:34.5686620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5686701Z x = self.forward_features(x) 2025-08-26T20:20:34.5687068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5687150Z x = self.blocks(x) 2025-08-26T20:20:34.5687410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5687481Z x = self.se(x) 2025-08-26T20:20:34.5687730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5687823Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5687832Z 2025-08-26T20:20:34.5687949Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5688181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5688254Z return mod(*inputs) 2025-08-26T20:20:34.5688500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5688583Z x = self.forward_features(x) 2025-08-26T20:20:34.5688851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5688932Z x = self.blocks(x) 2025-08-26T20:20:34.5689187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5689267Z x = self.se(x) 2025-08-26T20:20:34.5689515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5689641Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5689645Z 2025-08-26T20:20:34.5689772Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5690008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5690092Z return mod(*inputs) 2025-08-26T20:20:34.5690333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5690413Z x = self.forward_features(x) 2025-08-26T20:20:34.5690692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5690764Z x = self.blocks(x) 2025-08-26T20:20:34.5691027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5691097Z x = self.se(x) 2025-08-26T20:20:34.5691351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5691444Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5691448Z 2025-08-26T20:20:34.5691563Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5691799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5691872Z return mod(*inputs) 2025-08-26T20:20:34.5692117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5692198Z x = self.forward_features(x) 2025-08-26T20:20:34.5692471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5692549Z x = self.blocks(x) 2025-08-26T20:20:34.5692802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5692876Z x = self.se(x) 2025-08-26T20:20:34.5693130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5693209Z return x * self.gate(x_se) 2025-08-26T20:20:34.5693213Z 2025-08-26T20:20:34.5693372Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5693592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5693673Z return mod(*inputs) 2025-08-26T20:20:34.5693907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5693985Z x = self.forward_features(x) 2025-08-26T20:20:34.5694263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5694333Z x = self.blocks(x) 2025-08-26T20:20:34.5694592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5694663Z x = self.se(x) 2025-08-26T20:20:34.5694911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5694997Z return x * self.gate(x_se) 2025-08-26T20:20:34.5695004Z 2025-08-26T20:20:34.5695092Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5695214Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5695431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5695512Z return mod(*inputs) 2025-08-26T20:20:34.5695748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5695826Z x = self.forward_features(x) 2025-08-26T20:20:34.5696095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5696166Z x = self.blocks(x) 2025-08-26T20:20:34.5696463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5696538Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5696771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5696896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5697134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5697258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5697262Z 2025-08-26T20:20:34.5697351Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5697464Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5697691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5697763Z return mod(*inputs) 2025-08-26T20:20:34.5698007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5698087Z x = self.forward_features(x) 2025-08-26T20:20:34.5698348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5698424Z x = self.blocks(x) 2025-08-26T20:20:34.5698674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5698755Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5698985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5699109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5699348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5699463Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5699469Z 2025-08-26T20:20:34.5699566Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5699653Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5699823Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5700042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5700115Z return mod(*inputs) 2025-08-26T20:20:34.5700356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5700434Z x = self.forward_features(x) 2025-08-26T20:20:34.5700704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5700776Z x = self.blocks(x) 2025-08-26T20:20:34.5701026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5701112Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5701343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5701425Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5701429Z 2025-08-26T20:20:34.5701547Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5701778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5701850Z return mod(*inputs) 2025-08-26T20:20:34.5702085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5702173Z x = self.forward_features(x) 2025-08-26T20:20:34.5702435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5702515Z x = self.blocks(x) 2025-08-26T20:20:34.5702765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5702894Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5702898Z 2025-08-26T20:20:34.5703024Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5703247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5703329Z return mod(*inputs) 2025-08-26T20:20:34.5703563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5703642Z x = self.forward_features(x) 2025-08-26T20:20:34.5703913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5703983Z x = self.blocks(x) 2025-08-26T20:20:34.5704243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5704315Z x = self.conv_pw(x) 2025-08-26T20:20:34.5704549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5704676Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5704918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5705041Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5705045Z 2025-08-26T20:20:34.5705159Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5705387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5705460Z return mod(*inputs) 2025-08-26T20:20:34.5705696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5705783Z x = self.forward_features(x) 2025-08-26T20:20:34.5706052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5706133Z x = self.blocks(x) 2025-08-26T20:20:34.5706383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5706492Z x = self.conv_pw(x) 2025-08-26T20:20:34.5706736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5706852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5707098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5707213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5707217Z 2025-08-26T20:20:34.5707314Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5707401Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5707517Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5707749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5707822Z return mod(*inputs) 2025-08-26T20:20:34.5708072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5708153Z x = self.forward_features(x) 2025-08-26T20:20:34.5708425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5708504Z x = self.blocks(x) 2025-08-26T20:20:34.5708759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5708840Z x = self.conv_pw(x) 2025-08-26T20:20:34.5709080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5709156Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5709197Z 2025-08-26T20:20:34.5709320Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5709550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5709633Z return mod(*inputs) 2025-08-26T20:20:34.5709872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5709956Z x = self.forward_features(x) 2025-08-26T20:20:34.5710233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5710306Z x = self.blocks(x) 2025-08-26T20:20:34.5710568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5710641Z x = self.bn1(x) 2025-08-26T20:20:34.5710867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5710951Z x = F.batch_norm( 2025-08-26T20:20:34.5710954Z 2025-08-26T20:20:34.5711073Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5711303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5711382Z return mod(*inputs) 2025-08-26T20:20:34.5711636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5711719Z x = self.forward_features(x) 2025-08-26T20:20:34.5711993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5712074Z x = self.blocks(x) 2025-08-26T20:20:34.5712328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5712406Z x = self.bn1(x) 2025-08-26T20:20:34.5712637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5712713Z x = self.act(x) 2025-08-26T20:20:34.5712717Z 2025-08-26T20:20:34.5712819Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5713402Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5713680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5713755Z return mod(*inputs) 2025-08-26T20:20:34.5713989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5714075Z x = self.forward_features(x) 2025-08-26T20:20:34.5714341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5714419Z x = self.blocks(x) 2025-08-26T20:20:34.5714670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5714746Z x = self.conv_dw(x) 2025-08-26T20:20:34.5714992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5715109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5715363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5715479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5715483Z 2025-08-26T20:20:34.5715579Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5715693Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5715909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5715989Z return mod(*inputs) 2025-08-26T20:20:34.5716225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5716350Z x = self.forward_features(x) 2025-08-26T20:20:34.5716611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5716681Z x = self.blocks(x) 2025-08-26T20:20:34.5716945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5717017Z x = self.conv_dw(x) 2025-08-26T20:20:34.5717254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5717370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5717610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5717733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5717737Z 2025-08-26T20:20:34.5717826Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5717952Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5718170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5718249Z return mod(*inputs) 2025-08-26T20:20:34.5718485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5718565Z x = self.forward_features(x) 2025-08-26T20:20:34.5718835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5718907Z x = self.blocks(x) 2025-08-26T20:20:34.5719167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5719239Z x = self.conv_dw(x) 2025-08-26T20:20:34.5719467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5719591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5719833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5719957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5719994Z 2025-08-26T20:20:34.5720087Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5720202Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5720428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5720499Z return mod(*inputs) 2025-08-26T20:20:34.5720750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5720830Z x = self.forward_features(x) 2025-08-26T20:20:34.5721094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5721165Z x = self.blocks(x) 2025-08-26T20:20:34.5721419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5721497Z x = self.conv_dw(x) 2025-08-26T20:20:34.5721727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5721849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5722085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5722199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5722202Z 2025-08-26T20:20:34.5722299Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5722386Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5722481Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5722567Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5722681Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5722956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5723029Z return mod(*inputs) 2025-08-26T20:20:34.5723273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5723352Z x = self.forward_features(x) 2025-08-26T20:20:34.5723614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5723694Z x = self.blocks(x) 2025-08-26T20:20:34.5723948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5724026Z x = self.conv_dw(x) 2025-08-26T20:20:34.5724259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5724334Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5724348Z 2025-08-26T20:20:34.5724436Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5724550Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5724778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5724850Z return mod(*inputs) 2025-08-26T20:20:34.5725090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5725168Z x = self.forward_features(x) 2025-08-26T20:20:34.5725430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5725508Z x = self.blocks(x) 2025-08-26T20:20:34.5725759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5725833Z x = self.se(x) 2025-08-26T20:20:34.5726083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5726171Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5726174Z 2025-08-26T20:20:34.5726296Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5726553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5726635Z return mod(*inputs) 2025-08-26T20:20:34.5726870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5727017Z x = self.forward_features(x) 2025-08-26T20:20:34.5727297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5727368Z x = self.blocks(x) 2025-08-26T20:20:34.5727624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5727693Z x = self.se(x) 2025-08-26T20:20:34.5727942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5728031Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5728035Z 2025-08-26T20:20:34.5728153Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5728379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5728452Z return mod(*inputs) 2025-08-26T20:20:34.5728692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5728772Z x = self.forward_features(x) 2025-08-26T20:20:34.5729029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5729108Z x = self.blocks(x) 2025-08-26T20:20:34.5729356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5729515Z x = self.se(x) 2025-08-26T20:20:34.5729765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5729844Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5729850Z 2025-08-26T20:20:34.5729975Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5730193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5730272Z return mod(*inputs) 2025-08-26T20:20:34.5730790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5730876Z x = self.forward_features(x) 2025-08-26T20:20:34.5731152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5731225Z x = self.blocks(x) 2025-08-26T20:20:34.5731484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5731559Z x = self.se(x) 2025-08-26T20:20:34.5731812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5731906Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5731910Z 2025-08-26T20:20:34.5732025Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5732251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5732326Z return mod(*inputs) 2025-08-26T20:20:34.5732571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5732650Z x = self.forward_features(x) 2025-08-26T20:20:34.5732913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5732997Z x = self.blocks(x) 2025-08-26T20:20:34.5733252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5733330Z x = self.se(x) 2025-08-26T20:20:34.5733676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5733758Z return x * self.gate(x_se) 2025-08-26T20:20:34.5733762Z 2025-08-26T20:20:34.5733886Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5734106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5734191Z return mod(*inputs) 2025-08-26T20:20:34.5734429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5734509Z x = self.forward_features(x) 2025-08-26T20:20:34.5734778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5734854Z x = self.blocks(x) 2025-08-26T20:20:34.5735113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5735183Z x = self.se(x) 2025-08-26T20:20:34.5735441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5735521Z return x * self.gate(x_se) 2025-08-26T20:20:34.5735525Z 2025-08-26T20:20:34.5735617Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5735744Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5735960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5736040Z return mod(*inputs) 2025-08-26T20:20:34.5736276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5736410Z x = self.forward_features(x) 2025-08-26T20:20:34.5736686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5736759Z x = self.blocks(x) 2025-08-26T20:20:34.5737020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5737097Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5737327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5737455Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5737698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5737824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5737827Z 2025-08-26T20:20:34.5737917Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5738033Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5738261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5738335Z return mod(*inputs) 2025-08-26T20:20:34.5738580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5738660Z x = self.forward_features(x) 2025-08-26T20:20:34.5738926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5738999Z x = self.blocks(x) 2025-08-26T20:20:34.5739253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5739337Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5739569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5739693Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5739934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5740049Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5740088Z 2025-08-26T20:20:34.5740188Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5740278Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5740399Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5740621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5740695Z return mod(*inputs) 2025-08-26T20:20:34.5740934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5741013Z x = self.forward_features(x) 2025-08-26T20:20:34.5741279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5741354Z x = self.blocks(x) 2025-08-26T20:20:34.5741603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5741685Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5741915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5741998Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5742001Z 2025-08-26T20:20:34.5742116Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5742338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5742408Z return mod(*inputs) 2025-08-26T20:20:34.5742643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5742729Z x = self.forward_features(x) 2025-08-26T20:20:34.5742985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5743099Z x = self.blocks(x) 2025-08-26T20:20:34.5743357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5743440Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5743444Z 2025-08-26T20:20:34.5743564Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5743784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5743862Z return mod(*inputs) 2025-08-26T20:20:34.5744098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5744177Z x = self.forward_features(x) 2025-08-26T20:20:34.5744448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5744522Z x = self.blocks(x) 2025-08-26T20:20:34.5744784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5744857Z x = self.conv_pw(x) 2025-08-26T20:20:34.5744861Z 2025-08-26T20:20:34.5744985Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5745203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5745273Z return mod(*inputs) 2025-08-26T20:20:34.5745515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5745594Z x = self.forward_features(x) 2025-08-26T20:20:34.5745861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5745932Z x = self.blocks(x) 2025-08-26T20:20:34.5746186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5746269Z x = self.conv_dw(x) 2025-08-26T20:20:34.5746273Z 2025-08-26T20:20:34.5746360Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5746482Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5746747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5746822Z return mod(*inputs) 2025-08-26T20:20:34.5747065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5747142Z x = self.forward_features(x) 2025-08-26T20:20:34.5747410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5747481Z x = self.blocks(x) 2025-08-26T20:20:34.5747730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5747810Z x = self.se(x) 2025-08-26T20:20:34.5748055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5748148Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5748151Z 2025-08-26T20:20:34.5748267Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5748493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5748565Z return mod(*inputs) 2025-08-26T20:20:34.5748796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5748882Z x = self.forward_features(x) 2025-08-26T20:20:34.5749147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5749225Z x = self.blocks(x) 2025-08-26T20:20:34.5749473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5749589Z x = self.se(x) 2025-08-26T20:20:34.5749846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5749931Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5749934Z 2025-08-26T20:20:34.5750058Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5750288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5750360Z return mod(*inputs) 2025-08-26T20:20:34.5750600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5750678Z x = self.forward_features(x) 2025-08-26T20:20:34.5750948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5751018Z x = self.blocks(x) 2025-08-26T20:20:34.5751271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5751347Z x = self.se(x) 2025-08-26T20:20:34.5751597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5751681Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5751685Z 2025-08-26T20:20:34.5751798Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5752036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5752109Z return mod(*inputs) 2025-08-26T20:20:34.5752343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5752428Z x = self.forward_features(x) 2025-08-26T20:20:34.5752698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5752779Z x = self.blocks(x) 2025-08-26T20:20:34.5753031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5753099Z x = self.se(x) 2025-08-26T20:20:34.5753440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5753525Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5753529Z 2025-08-26T20:20:34.5753653Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5753880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5753953Z return mod(*inputs) 2025-08-26T20:20:34.5754193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5754271Z x = self.forward_features(x) 2025-08-26T20:20:34.5754539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5754614Z x = self.blocks(x) 2025-08-26T20:20:34.5754862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5754940Z x = self.se(x) 2025-08-26T20:20:34.5755186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5755273Z return x * self.gate(x_se) 2025-08-26T20:20:34.5755276Z 2025-08-26T20:20:34.5755391Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5755626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5755699Z return mod(*inputs) 2025-08-26T20:20:34.5755930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5756018Z x = self.forward_features(x) 2025-08-26T20:20:34.5756311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5756393Z x = self.blocks(x) 2025-08-26T20:20:34.5756643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5756711Z x = self.se(x) 2025-08-26T20:20:34.5756966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5757045Z return x * self.gate(x_se) 2025-08-26T20:20:34.5757049Z 2025-08-26T20:20:34.5757168Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5757382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5757455Z return mod(*inputs) 2025-08-26T20:20:34.5757690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5757772Z x = self.forward_features(x) 2025-08-26T20:20:34.5758034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5758105Z x = self.blocks(x) 2025-08-26T20:20:34.5758360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5758434Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5758438Z 2025-08-26T20:20:34.5758551Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5758775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5758846Z return mod(*inputs) 2025-08-26T20:20:34.5759084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5759162Z x = self.forward_features(x) 2025-08-26T20:20:34.5759417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5759499Z x = self.blocks(x) 2025-08-26T20:20:34.5759745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:20:34.5759855Z x = self.bn3(x) 2025-08-26T20:20:34.5760077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5760150Z x = F.batch_norm( 2025-08-26T20:20:34.5760154Z 2025-08-26T20:20:34.5760275Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5760493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5760575Z return mod(*inputs) 2025-08-26T20:20:34.5760809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5760887Z x = self.forward_features(x) 2025-08-26T20:20:34.5761155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5761227Z x = self.blocks(x) 2025-08-26T20:20:34.5761489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5761562Z x = self.conv_pw(x) 2025-08-26T20:20:34.5761798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5761920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5762161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5762289Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5762293Z 2025-08-26T20:20:34.5762406Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5762632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5762740Z return mod(*inputs) 2025-08-26T20:20:34.5762978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5763069Z x = self.forward_features(x) 2025-08-26T20:20:34.5763335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5763413Z x = self.blocks(x) 2025-08-26T20:20:34.5763667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5763739Z x = self.conv_pw(x) 2025-08-26T20:20:34.5763979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5764095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5764346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5764465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5764469Z 2025-08-26T20:20:34.5764565Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5764656Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5764773Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5765002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5765074Z return mod(*inputs) 2025-08-26T20:20:34.5765315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5765395Z x = self.forward_features(x) 2025-08-26T20:20:34.5765656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5765735Z x = self.blocks(x) 2025-08-26T20:20:34.5765992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5766071Z x = self.conv_pw(x) 2025-08-26T20:20:34.5766336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5766416Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5766419Z 2025-08-26T20:20:34.5766542Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5766768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5766847Z return mod(*inputs) 2025-08-26T20:20:34.5767362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5767449Z x = self.forward_features(x) 2025-08-26T20:20:34.5767727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5767806Z x = self.blocks(x) 2025-08-26T20:20:34.5768068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5768137Z x = self.bn1(x) 2025-08-26T20:20:34.5768371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5768442Z x = F.batch_norm( 2025-08-26T20:20:34.5768446Z 2025-08-26T20:20:34.5768561Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5768831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5768904Z return mod(*inputs) 2025-08-26T20:20:34.5769147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5769224Z x = self.forward_features(x) 2025-08-26T20:20:34.5769491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5769615Z x = self.blocks(x) 2025-08-26T20:20:34.5769868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5769945Z x = self.bn1(x) 2025-08-26T20:20:34.5770169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5770238Z x = self.act(x) 2025-08-26T20:20:34.5770242Z 2025-08-26T20:20:34.5770337Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5770453Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5770677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5770749Z return mod(*inputs) 2025-08-26T20:20:34.5770983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5771067Z x = self.forward_features(x) 2025-08-26T20:20:34.5771331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5771409Z x = self.blocks(x) 2025-08-26T20:20:34.5771662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5771743Z x = self.conv_dw(x) 2025-08-26T20:20:34.5771972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5772090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5772338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5772456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5772460Z 2025-08-26T20:20:34.5772554Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5772669Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5772890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5772970Z return mod(*inputs) 2025-08-26T20:20:34.5773235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5773322Z x = self.forward_features(x) 2025-08-26T20:20:34.5773594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5773665Z x = self.blocks(x) 2025-08-26T20:20:34.5773925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5773996Z x = self.conv_dw(x) 2025-08-26T20:20:34.5774243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5774360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5774608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5774731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5774735Z 2025-08-26T20:20:34.5774828Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5774953Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5775173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5775253Z return mod(*inputs) 2025-08-26T20:20:34.5775491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5775573Z x = self.forward_features(x) 2025-08-26T20:20:34.5775845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5775916Z x = self.blocks(x) 2025-08-26T20:20:34.5776221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5776297Z x = self.conv_dw(x) 2025-08-26T20:20:34.5776538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5776665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5776903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5777024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5777028Z 2025-08-26T20:20:34.5777116Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5777230Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5777457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5777530Z return mod(*inputs) 2025-08-26T20:20:34.5777773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5777851Z x = self.forward_features(x) 2025-08-26T20:20:34.5778119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5778190Z x = self.blocks(x) 2025-08-26T20:20:34.5778442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5778521Z x = self.conv_dw(x) 2025-08-26T20:20:34.5778746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5778868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5779123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5779237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5779244Z 2025-08-26T20:20:34.5779340Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5779428Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5779523Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5779647Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5779766Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5779998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5780070Z return mod(*inputs) 2025-08-26T20:20:34.5780313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5780393Z x = self.forward_features(x) 2025-08-26T20:20:34.5780653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5780734Z x = self.blocks(x) 2025-08-26T20:20:34.5780990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5781069Z x = self.conv_dw(x) 2025-08-26T20:20:34.5781302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5781379Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5781391Z 2025-08-26T20:20:34.5781479Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5781594Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5781822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5781895Z return mod(*inputs) 2025-08-26T20:20:34.5782136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5782215Z x = self.forward_features(x) 2025-08-26T20:20:34.5782476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5782594Z x = self.blocks(x) 2025-08-26T20:20:34.5782846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5782924Z x = self.se(x) 2025-08-26T20:20:34.5783175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5783259Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5783263Z 2025-08-26T20:20:34.5783386Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5783604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5783682Z return mod(*inputs) 2025-08-26T20:20:34.5783919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5783997Z x = self.forward_features(x) 2025-08-26T20:20:34.5784269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5784339Z x = self.blocks(x) 2025-08-26T20:20:34.5784602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5784669Z x = self.se(x) 2025-08-26T20:20:34.5784918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5785005Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5785009Z 2025-08-26T20:20:34.5785122Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5785348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5785419Z return mod(*inputs) 2025-08-26T20:20:34.5785660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5785741Z x = self.forward_features(x) 2025-08-26T20:20:34.5786001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5786080Z x = self.blocks(x) 2025-08-26T20:20:34.5786363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5786440Z x = self.se(x) 2025-08-26T20:20:34.5786688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5786764Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5786768Z 2025-08-26T20:20:34.5786888Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5787103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5787180Z return mod(*inputs) 2025-08-26T20:20:34.5787411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5787493Z x = self.forward_features(x) 2025-08-26T20:20:34.5787758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5787831Z x = self.blocks(x) 2025-08-26T20:20:34.5788087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5788155Z x = self.se(x) 2025-08-26T20:20:34.5788400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5788488Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5788491Z 2025-08-26T20:20:34.5788605Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5788827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5788900Z return mod(*inputs) 2025-08-26T20:20:34.5789176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5789256Z x = self.forward_features(x) 2025-08-26T20:20:34.5789516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5789596Z x = self.blocks(x) 2025-08-26T20:20:34.5789843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5789919Z x = self.se(x) 2025-08-26T20:20:34.5790164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5790242Z return x * self.gate(x_se) 2025-08-26T20:20:34.5790246Z 2025-08-26T20:20:34.5790368Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5790584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5790667Z return mod(*inputs) 2025-08-26T20:20:34.5790898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5790977Z x = self.forward_features(x) 2025-08-26T20:20:34.5791243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5791315Z x = self.blocks(x) 2025-08-26T20:20:34.5791571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5791638Z x = self.se(x) 2025-08-26T20:20:34.5791889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5791967Z return x * self.gate(x_se) 2025-08-26T20:20:34.5791971Z 2025-08-26T20:20:34.5792059Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5792179Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5792398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5792477Z return mod(*inputs) 2025-08-26T20:20:34.5792750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5792831Z x = self.forward_features(x) 2025-08-26T20:20:34.5793100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5793173Z x = self.blocks(x) 2025-08-26T20:20:34.5793428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5793503Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5793733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5793859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5794103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5794227Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5794231Z 2025-08-26T20:20:34.5794323Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5794437Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5794661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5794732Z return mod(*inputs) 2025-08-26T20:20:34.5794975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5795053Z x = self.forward_features(x) 2025-08-26T20:20:34.5795321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5795391Z x = self.blocks(x) 2025-08-26T20:20:34.5795682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5795765Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5795996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5796121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5796358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5796475Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5796478Z 2025-08-26T20:20:34.5796575Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5796663Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5796784Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5797000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5797078Z return mod(*inputs) 2025-08-26T20:20:34.5797320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5797399Z x = self.forward_features(x) 2025-08-26T20:20:34.5797664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5797737Z x = self.blocks(x) 2025-08-26T20:20:34.5797984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5798067Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5798292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5798375Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5798379Z 2025-08-26T20:20:34.5798493Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5798715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5798792Z return mod(*inputs) 2025-08-26T20:20:34.5799022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5799154Z x = self.forward_features(x) 2025-08-26T20:20:34.5799413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5799490Z x = self.blocks(x) 2025-08-26T20:20:34.5799738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5799821Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5799825Z 2025-08-26T20:20:34.5799945Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5800162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5800241Z return mod(*inputs) 2025-08-26T20:20:34.5800475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5800552Z x = self.forward_features(x) 2025-08-26T20:20:34.5800818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5800887Z x = self.blocks(x) 2025-08-26T20:20:34.5801139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5801210Z x = self.conv_pw(x) 2025-08-26T20:20:34.5801436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5801559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5801797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5801921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5801960Z 2025-08-26T20:20:34.5802075Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5802294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5802369Z return mod(*inputs) 2025-08-26T20:20:34.5802599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5802685Z x = self.forward_features(x) 2025-08-26T20:20:34.5802941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5803018Z x = self.blocks(x) 2025-08-26T20:20:34.5803267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5803339Z x = self.conv_pw(x) 2025-08-26T20:20:34.5803572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5803690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5803934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5804052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5804056Z 2025-08-26T20:20:34.5804153Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5804243Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5804357Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5804582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5804655Z return mod(*inputs) 2025-08-26T20:20:34.5804891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5804970Z x = self.forward_features(x) 2025-08-26T20:20:34.5805229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5805307Z x = self.blocks(x) 2025-08-26T20:20:34.5805597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5805679Z x = self.conv_pw(x) 2025-08-26T20:20:34.5805908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5805985Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5805989Z 2025-08-26T20:20:34.5806112Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5806335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5806416Z return mod(*inputs) 2025-08-26T20:20:34.5806653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5806735Z x = self.forward_features(x) 2025-08-26T20:20:34.5807084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5807162Z x = self.blocks(x) 2025-08-26T20:20:34.5807429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5807500Z x = self.bn1(x) 2025-08-26T20:20:34.5807726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5807808Z x = F.batch_norm( 2025-08-26T20:20:34.5807812Z 2025-08-26T20:20:34.5807927Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5808151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5808225Z return mod(*inputs) 2025-08-26T20:20:34.5808470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5808601Z x = self.forward_features(x) 2025-08-26T20:20:34.5808859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5808945Z x = self.blocks(x) 2025-08-26T20:20:34.5809197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5809275Z x = self.bn1(x) 2025-08-26T20:20:34.5809497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5809566Z x = self.act(x) 2025-08-26T20:20:34.5809570Z 2025-08-26T20:20:34.5809666Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5809780Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5810008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5810083Z return mod(*inputs) 2025-08-26T20:20:34.5810313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5810400Z x = self.forward_features(x) 2025-08-26T20:20:34.5810666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5810745Z x = self.blocks(x) 2025-08-26T20:20:34.5810997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5811070Z x = self.conv_dw(x) 2025-08-26T20:20:34.5811315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5811432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5811678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5811796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5811800Z 2025-08-26T20:20:34.5811894Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5812007Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5812257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5812340Z return mod(*inputs) 2025-08-26T20:20:34.5812571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5812657Z x = self.forward_features(x) 2025-08-26T20:20:34.5812915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5812985Z x = self.blocks(x) 2025-08-26T20:20:34.5813240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5813311Z x = self.conv_dw(x) 2025-08-26T20:20:34.5813546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5813661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5813900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5814020Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5814024Z 2025-08-26T20:20:34.5814111Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5814230Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5814444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5814522Z return mod(*inputs) 2025-08-26T20:20:34.5814753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5814830Z x = self.forward_features(x) 2025-08-26T20:20:34.5815131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5815203Z x = self.blocks(x) 2025-08-26T20:20:34.5815460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5815533Z x = self.conv_dw(x) 2025-08-26T20:20:34.5815767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5815889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5816126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5816246Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5816249Z 2025-08-26T20:20:34.5816337Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5816453Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5816682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5816754Z return mod(*inputs) 2025-08-26T20:20:34.5816993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5817073Z x = self.forward_features(x) 2025-08-26T20:20:34.5817330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5817408Z x = self.blocks(x) 2025-08-26T20:20:34.5817657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5817737Z x = self.conv_dw(x) 2025-08-26T20:20:34.5817963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5818084Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5818323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5818436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5818440Z 2025-08-26T20:20:34.5818580Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5818670Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5818764Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5818849Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5818964Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5819193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5819265Z return mod(*inputs) 2025-08-26T20:20:34.5819506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5819585Z x = self.forward_features(x) 2025-08-26T20:20:34.5819847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5819925Z x = self.blocks(x) 2025-08-26T20:20:34.5820178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5820257Z x = self.conv_dw(x) 2025-08-26T20:20:34.5820482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5820557Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5820560Z 2025-08-26T20:20:34.5820654Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5820769Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5820995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5821067Z return mod(*inputs) 2025-08-26T20:20:34.5821301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5821424Z x = self.forward_features(x) 2025-08-26T20:20:34.5821688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5821767Z x = self.blocks(x) 2025-08-26T20:20:34.5822020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5822095Z x = self.se(x) 2025-08-26T20:20:34.5822346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5822429Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5822433Z 2025-08-26T20:20:34.5822557Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5822776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5822854Z return mod(*inputs) 2025-08-26T20:20:34.5823093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5823170Z x = self.forward_features(x) 2025-08-26T20:20:34.5823441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5823512Z x = self.blocks(x) 2025-08-26T20:20:34.5823770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5823839Z x = self.se(x) 2025-08-26T20:20:34.5824087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5824173Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5824177Z 2025-08-26T20:20:34.5824292Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5824517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5824593Z return mod(*inputs) 2025-08-26T20:20:34.5824835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5824914Z x = self.forward_features(x) 2025-08-26T20:20:34.5825233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5825316Z x = self.blocks(x) 2025-08-26T20:20:34.5825569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5825645Z x = self.se(x) 2025-08-26T20:20:34.5825894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5825969Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5825973Z 2025-08-26T20:20:34.5826095Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5826317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5826396Z return mod(*inputs) 2025-08-26T20:20:34.5826630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5826710Z x = self.forward_features(x) 2025-08-26T20:20:34.5826987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5827059Z x = self.blocks(x) 2025-08-26T20:20:34.5827317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5827384Z x = self.se(x) 2025-08-26T20:20:34.5827631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5827718Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5827721Z 2025-08-26T20:20:34.5827835Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5828095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5828168Z return mod(*inputs) 2025-08-26T20:20:34.5828408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5828487Z x = self.forward_features(x) 2025-08-26T20:20:34.5828754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5828830Z x = self.blocks(x) 2025-08-26T20:20:34.5829078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5829152Z x = self.se(x) 2025-08-26T20:20:34.5829398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5829476Z return x * self.gate(x_se) 2025-08-26T20:20:34.5829482Z 2025-08-26T20:20:34.5829602Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5829828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5829909Z return mod(*inputs) 2025-08-26T20:20:34.5830145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5830223Z x = self.forward_features(x) 2025-08-26T20:20:34.5830750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5830827Z x = self.blocks(x) 2025-08-26T20:20:34.5831086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5831155Z x = self.se(x) 2025-08-26T20:20:34.5831404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5831494Z return x * self.gate(x_se) 2025-08-26T20:20:34.5831500Z 2025-08-26T20:20:34.5831591Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5831714Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5832072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5832157Z return mod(*inputs) 2025-08-26T20:20:34.5832394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5832473Z x = self.forward_features(x) 2025-08-26T20:20:34.5832743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5832816Z x = self.blocks(x) 2025-08-26T20:20:34.5833075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5833154Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5833389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5833519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5833769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5833896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5833900Z 2025-08-26T20:20:34.5833989Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5834103Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5834343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5834416Z return mod(*inputs) 2025-08-26T20:20:34.5834663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5834742Z x = self.forward_features(x) 2025-08-26T20:20:34.5835082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5835153Z x = self.blocks(x) 2025-08-26T20:20:34.5835406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5835490Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5835729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5835852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5836095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5836210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5836214Z 2025-08-26T20:20:34.5836312Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5836408Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5836534Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5836754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5836828Z return mod(*inputs) 2025-08-26T20:20:34.5837084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5837163Z x = self.forward_features(x) 2025-08-26T20:20:34.5837434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5837503Z x = self.blocks(x) 2025-08-26T20:20:34.5837757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5837839Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5838076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5838162Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5838166Z 2025-08-26T20:20:34.5838280Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5838507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5838613Z return mod(*inputs) 2025-08-26T20:20:34.5838854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5838940Z x = self.forward_features(x) 2025-08-26T20:20:34.5839198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5839276Z x = self.blocks(x) 2025-08-26T20:20:34.5839527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5839611Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5839615Z 2025-08-26T20:20:34.5839740Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5839959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5840040Z return mod(*inputs) 2025-08-26T20:20:34.5840276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5840356Z x = self.forward_features(x) 2025-08-26T20:20:34.5840625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5840695Z x = self.blocks(x) 2025-08-26T20:20:34.5840953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5841023Z x = self.conv_pw(x) 2025-08-26T20:20:34.5841251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5841374Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5841647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5841771Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5841778Z 2025-08-26T20:20:34.5841891Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5842114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5842188Z return mod(*inputs) 2025-08-26T20:20:34.5842422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5842507Z x = self.forward_features(x) 2025-08-26T20:20:34.5842763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5842839Z x = self.blocks(x) 2025-08-26T20:20:34.5843088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5843161Z x = self.conv_pw(x) 2025-08-26T20:20:34.5843398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5843515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5843760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5843873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5843876Z 2025-08-26T20:20:34.5843970Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5844057Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5844172Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5844392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5844465Z return mod(*inputs) 2025-08-26T20:20:34.5844708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5844786Z x = self.forward_features(x) 2025-08-26T20:20:34.5845087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5845167Z x = self.blocks(x) 2025-08-26T20:20:34.5845420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5845510Z x = self.conv_pw(x) 2025-08-26T20:20:34.5845735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5845807Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5845810Z 2025-08-26T20:20:34.5845929Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5846141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5846223Z return mod(*inputs) 2025-08-26T20:20:34.5846448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5846525Z x = self.forward_features(x) 2025-08-26T20:20:34.5846791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5846861Z x = self.blocks(x) 2025-08-26T20:20:34.5847195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5847270Z x = self.bn1(x) 2025-08-26T20:20:34.5847496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5847575Z x = F.batch_norm( 2025-08-26T20:20:34.5847579Z 2025-08-26T20:20:34.5847693Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5847919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5848044Z return mod(*inputs) 2025-08-26T20:20:34.5848285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5848367Z x = self.forward_features(x) 2025-08-26T20:20:34.5848625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5848707Z x = self.blocks(x) 2025-08-26T20:20:34.5848958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5849037Z x = self.bn1(x) 2025-08-26T20:20:34.5849264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5849331Z x = self.act(x) 2025-08-26T20:20:34.5849335Z 2025-08-26T20:20:34.5849431Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5849548Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5849765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5849839Z return mod(*inputs) 2025-08-26T20:20:34.5850073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5850159Z x = self.forward_features(x) 2025-08-26T20:20:34.5850415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5850494Z x = self.blocks(x) 2025-08-26T20:20:34.5850742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5850816Z x = self.conv_dw(x) 2025-08-26T20:20:34.5851051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5851167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5851414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5851530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5851569Z 2025-08-26T20:20:34.5851669Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5851792Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5852003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5852081Z return mod(*inputs) 2025-08-26T20:20:34.5852306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5852389Z x = self.forward_features(x) 2025-08-26T20:20:34.5852639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5852712Z x = self.blocks(x) 2025-08-26T20:20:34.5852960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5853029Z x = self.conv_dw(x) 2025-08-26T20:20:34.5853256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5853369Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5853602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5853723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5853727Z 2025-08-26T20:20:34.5853814Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5853936Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5854155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5854270Z return mod(*inputs) 2025-08-26T20:20:34.5854503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5854583Z x = self.forward_features(x) 2025-08-26T20:20:34.5854852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5854922Z x = self.blocks(x) 2025-08-26T20:20:34.5855180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5855252Z x = self.conv_dw(x) 2025-08-26T20:20:34.5855479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5855601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5855838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5855960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5855964Z 2025-08-26T20:20:34.5856052Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5856164Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5856403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5856475Z return mod(*inputs) 2025-08-26T20:20:34.5856708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5856785Z x = self.forward_features(x) 2025-08-26T20:20:34.5857043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5857120Z x = self.blocks(x) 2025-08-26T20:20:34.5857371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5857448Z x = self.conv_dw(x) 2025-08-26T20:20:34.5857677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5857796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5858084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5858200Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5858203Z 2025-08-26T20:20:34.5858301Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5858388Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5858481Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5858566Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5858678Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5858907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5858981Z return mod(*inputs) 2025-08-26T20:20:34.5859233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5859311Z x = self.forward_features(x) 2025-08-26T20:20:34.5859577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5859658Z x = self.blocks(x) 2025-08-26T20:20:34.5859911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5859989Z x = self.conv_dw(x) 2025-08-26T20:20:34.5860229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5860302Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5860306Z 2025-08-26T20:20:34.5860396Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5860509Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5860765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5860839Z return mod(*inputs) 2025-08-26T20:20:34.5861070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5861159Z x = self.forward_features(x) 2025-08-26T20:20:34.5861418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5861497Z x = self.blocks(x) 2025-08-26T20:20:34.5861747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5861823Z x = self.se(x) 2025-08-26T20:20:34.5862073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5862158Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5862162Z 2025-08-26T20:20:34.5862284Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5862506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5862587Z return mod(*inputs) 2025-08-26T20:20:34.5862824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5862902Z x = self.forward_features(x) 2025-08-26T20:20:34.5863169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5863240Z x = self.blocks(x) 2025-08-26T20:20:34.5863495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5863564Z x = self.se(x) 2025-08-26T20:20:34.5863811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5863900Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5863907Z 2025-08-26T20:20:34.5864021Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5864248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5864356Z return mod(*inputs) 2025-08-26T20:20:34.5864594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5864682Z x = self.forward_features(x) 2025-08-26T20:20:34.5864942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5865021Z x = self.blocks(x) 2025-08-26T20:20:34.5865273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5865349Z x = self.se(x) 2025-08-26T20:20:34.5865597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5865677Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5865681Z 2025-08-26T20:20:34.5865803Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5866025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5866105Z return mod(*inputs) 2025-08-26T20:20:34.5866340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5866418Z x = self.forward_features(x) 2025-08-26T20:20:34.5866686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5866756Z x = self.blocks(x) 2025-08-26T20:20:34.5867013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5867082Z x = self.se(x) 2025-08-26T20:20:34.5867330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5867458Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5867462Z 2025-08-26T20:20:34.5867576Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5867808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5867883Z return mod(*inputs) 2025-08-26T20:20:34.5868126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5868205Z x = self.forward_features(x) 2025-08-26T20:20:34.5868467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5868548Z x = self.blocks(x) 2025-08-26T20:20:34.5868801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5868876Z x = self.se(x) 2025-08-26T20:20:34.5869130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5869211Z return x * self.gate(x_se) 2025-08-26T20:20:34.5869215Z 2025-08-26T20:20:34.5869341Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5869561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5869639Z return mod(*inputs) 2025-08-26T20:20:34.5869878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5869956Z x = self.forward_features(x) 2025-08-26T20:20:34.5870236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5870307Z x = self.blocks(x) 2025-08-26T20:20:34.5870568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5870638Z x = self.se(x) 2025-08-26T20:20:34.5870891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5870977Z return x * self.gate(x_se) 2025-08-26T20:20:34.5871016Z 2025-08-26T20:20:34.5871107Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5871226Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5871458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5871538Z return mod(*inputs) 2025-08-26T20:20:34.5871774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5871853Z x = self.forward_features(x) 2025-08-26T20:20:34.5872124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5872198Z x = self.blocks(x) 2025-08-26T20:20:34.5872457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5872532Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5872772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5872898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5873143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5873270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5873274Z 2025-08-26T20:20:34.5873361Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5873475Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5873703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5873826Z return mod(*inputs) 2025-08-26T20:20:34.5874070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5874149Z x = self.forward_features(x) 2025-08-26T20:20:34.5874418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5874498Z x = self.blocks(x) 2025-08-26T20:20:34.5874748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5874830Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5875066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5875190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5875431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5875550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5875554Z 2025-08-26T20:20:34.5875649Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5875735Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5875859Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5876077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5876151Z return mod(*inputs) 2025-08-26T20:20:34.5876403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5876481Z x = self.forward_features(x) 2025-08-26T20:20:34.5876755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5876827Z x = self.blocks(x) 2025-08-26T20:20:34.5877076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5877163Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5877399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5877483Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5877524Z 2025-08-26T20:20:34.5877641Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5877887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5877961Z return mod(*inputs) 2025-08-26T20:20:34.5878194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5878281Z x = self.forward_features(x) 2025-08-26T20:20:34.5878551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5878630Z x = self.blocks(x) 2025-08-26T20:20:34.5878883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5878968Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5878972Z 2025-08-26T20:20:34.5879093Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5879315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5879397Z return mod(*inputs) 2025-08-26T20:20:34.5879632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5879707Z x = self.forward_features(x) 2025-08-26T20:20:34.5879975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5880046Z x = self.blocks(x) 2025-08-26T20:20:34.5880307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5880418Z x = self.conv_pw(x) 2025-08-26T20:20:34.5880422Z 2025-08-26T20:20:34.5880534Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5880756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5880831Z return mod(*inputs) 2025-08-26T20:20:34.5881070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5881149Z x = self.forward_features(x) 2025-08-26T20:20:34.5881414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5881484Z x = self.blocks(x) 2025-08-26T20:20:34.5881736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5881814Z x = self.bn1(x) 2025-08-26T20:20:34.5882036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5882118Z x = F.batch_norm( 2025-08-26T20:20:34.5882122Z 2025-08-26T20:20:34.5882236Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5882456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5882537Z return mod(*inputs) 2025-08-26T20:20:34.5882770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5882856Z x = self.forward_features(x) 2025-08-26T20:20:34.5883119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5883189Z x = self.blocks(x) 2025-08-26T20:20:34.5883449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5883518Z x = self.bn1(x) 2025-08-26T20:20:34.5883747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5883820Z x = self.act(x) 2025-08-26T20:20:34.5883824Z 2025-08-26T20:20:34.5883912Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5884066Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5884282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5884362Z return mod(*inputs) 2025-08-26T20:20:34.5884593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5884671Z x = self.forward_features(x) 2025-08-26T20:20:34.5884937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5885006Z x = self.blocks(x) 2025-08-26T20:20:34.5885259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5885335Z x = self.conv_dw(x) 2025-08-26T20:20:34.5885568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5885684Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5885925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5886048Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5886052Z 2025-08-26T20:20:34.5886139Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5886260Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5886479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5886551Z return mod(*inputs) 2025-08-26T20:20:34.5886788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5886908Z x = self.forward_features(x) 2025-08-26T20:20:34.5887261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5887339Z x = self.blocks(x) 2025-08-26T20:20:34.5887591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5887671Z x = self.conv_dw(x) 2025-08-26T20:20:34.5887900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5888026Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5888264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5888389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5888393Z 2025-08-26T20:20:34.5888481Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5888599Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5888825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5888899Z return mod(*inputs) 2025-08-26T20:20:34.5889142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5889221Z x = self.forward_features(x) 2025-08-26T20:20:34.5889478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5889561Z x = self.blocks(x) 2025-08-26T20:20:34.5889824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5889906Z x = self.conv_dw(x) 2025-08-26T20:20:34.5890134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5890251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5890498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5890652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5890657Z 2025-08-26T20:20:34.5890756Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5890872Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5891100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5891174Z return mod(*inputs) 2025-08-26T20:20:34.5891407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5891495Z x = self.forward_features(x) 2025-08-26T20:20:34.5891760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5891847Z x = self.blocks(x) 2025-08-26T20:20:34.5892101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5892177Z x = self.conv_dw(x) 2025-08-26T20:20:34.5892419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5892538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5892787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5892904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5892908Z 2025-08-26T20:20:34.5893000Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5893099Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5893190Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5893286Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5893438Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5893670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5893752Z return mod(*inputs) 2025-08-26T20:20:34.5893994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5894080Z x = self.forward_features(x) 2025-08-26T20:20:34.5894342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5894414Z x = self.blocks(x) 2025-08-26T20:20:34.5894674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5894744Z x = self.conv_dw(x) 2025-08-26T20:20:34.5894979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5895058Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5895062Z 2025-08-26T20:20:34.5895155Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5895271Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5895490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5895570Z return mod(*inputs) 2025-08-26T20:20:34.5895805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5895890Z x = self.forward_features(x) 2025-08-26T20:20:34.5896149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5896219Z x = self.blocks(x) 2025-08-26T20:20:34.5896478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5896547Z x = self.se(x) 2025-08-26T20:20:34.5896805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5896893Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5896897Z 2025-08-26T20:20:34.5897012Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5897289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5897364Z return mod(*inputs) 2025-08-26T20:20:34.5897607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5897688Z x = self.forward_features(x) 2025-08-26T20:20:34.5897953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5898030Z x = self.blocks(x) 2025-08-26T20:20:34.5898280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5898356Z x = self.se(x) 2025-08-26T20:20:34.5898604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5898691Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5898695Z 2025-08-26T20:20:34.5898812Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5899029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5899109Z return mod(*inputs) 2025-08-26T20:20:34.5899343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5899427Z x = self.forward_features(x) 2025-08-26T20:20:34.5899686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5899757Z x = self.blocks(x) 2025-08-26T20:20:34.5900017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5900122Z x = self.se(x) 2025-08-26T20:20:34.5900377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5900455Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5900459Z 2025-08-26T20:20:34.5900575Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5900801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5900871Z return mod(*inputs) 2025-08-26T20:20:34.5901113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5901191Z x = self.forward_features(x) 2025-08-26T20:20:34.5901449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5901527Z x = self.blocks(x) 2025-08-26T20:20:34.5901781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5901857Z x = self.se(x) 2025-08-26T20:20:34.5902108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5902197Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5902201Z 2025-08-26T20:20:34.5902314Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5902533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5902615Z return mod(*inputs) 2025-08-26T20:20:34.5902849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5902932Z x = self.forward_features(x) 2025-08-26T20:20:34.5903191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5903264Z x = self.blocks(x) 2025-08-26T20:20:34.5903523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5903590Z x = self.se(x) 2025-08-26T20:20:34.5903879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5903961Z return x * self.gate(x_se) 2025-08-26T20:20:34.5903965Z 2025-08-26T20:20:34.5904082Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5904308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5904380Z return mod(*inputs) 2025-08-26T20:20:34.5904621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5904701Z x = self.forward_features(x) 2025-08-26T20:20:34.5904967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5905040Z x = self.blocks(x) 2025-08-26T20:20:34.5905288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5905368Z x = self.se(x) 2025-08-26T20:20:34.5905616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5905701Z return x * self.gate(x_se) 2025-08-26T20:20:34.5905704Z 2025-08-26T20:20:34.5905820Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5906039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5906120Z return mod(*inputs) 2025-08-26T20:20:34.5906353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5906440Z x = self.forward_features(x) 2025-08-26T20:20:34.5906730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5906802Z x = self.blocks(x) 2025-08-26T20:20:34.5907067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5907143Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5907147Z 2025-08-26T20:20:34.5907271Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5907487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5907559Z return mod(*inputs) 2025-08-26T20:20:34.5907805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5907884Z x = self.forward_features(x) 2025-08-26T20:20:34.5908153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5908228Z x = self.blocks(x) 2025-08-26T20:20:34.5908487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:20:34.5908556Z x = self.bn3(x) 2025-08-26T20:20:34.5908777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5908856Z x = F.batch_norm( 2025-08-26T20:20:34.5908860Z 2025-08-26T20:20:34.5908973Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5909195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5909268Z return mod(*inputs) 2025-08-26T20:20:34.5909500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5909586Z x = self.forward_features(x) 2025-08-26T20:20:34.5909842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5909922Z x = self.blocks(x) 2025-08-26T20:20:34.5910170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5910277Z x = self.conv_pw(x) 2025-08-26T20:20:34.5910281Z 2025-08-26T20:20:34.5910405Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5910636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5910715Z return mod(*inputs) 2025-08-26T20:20:34.5910952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5911036Z x = self.forward_features(x) 2025-08-26T20:20:34.5911307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5911377Z x = self.blocks(x) 2025-08-26T20:20:34.5911643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5911713Z x = self.bn1(x) 2025-08-26T20:20:34.5911947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5912017Z x = F.batch_norm( 2025-08-26T20:20:34.5912021Z 2025-08-26T20:20:34.5912135Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5912360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5912433Z return mod(*inputs) 2025-08-26T20:20:34.5912675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5912751Z x = self.forward_features(x) 2025-08-26T20:20:34.5913019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5913134Z x = self.blocks(x) 2025-08-26T20:20:34.5913382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5913458Z x = self.bn1(x) 2025-08-26T20:20:34.5913681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5913749Z x = self.act(x) 2025-08-26T20:20:34.5913753Z 2025-08-26T20:20:34.5913851Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5913965Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5914192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5914264Z return mod(*inputs) 2025-08-26T20:20:34.5914494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5914580Z x = self.forward_features(x) 2025-08-26T20:20:34.5914845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5914925Z x = self.blocks(x) 2025-08-26T20:20:34.5915178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5915256Z x = self.conv_dw(x) 2025-08-26T20:20:34.5915493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5915610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5915859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5915977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5915980Z 2025-08-26T20:20:34.5916077Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5916189Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5916409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5916488Z return mod(*inputs) 2025-08-26T20:20:34.5916763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5916853Z x = self.forward_features(x) 2025-08-26T20:20:34.5917124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5917196Z x = self.blocks(x) 2025-08-26T20:20:34.5917455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5917526Z x = self.conv_dw(x) 2025-08-26T20:20:34.5917769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5917886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5918141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5918257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5918260Z 2025-08-26T20:20:34.5918353Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5918476Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5918708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5918788Z return mod(*inputs) 2025-08-26T20:20:34.5919031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5919110Z x = self.forward_features(x) 2025-08-26T20:20:34.5919395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5919465Z x = self.blocks(x) 2025-08-26T20:20:34.5919727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5919833Z x = self.conv_dw(x) 2025-08-26T20:20:34.5920066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5920193Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5920433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5920554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5920557Z 2025-08-26T20:20:34.5920646Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5920770Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5920988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5921060Z return mod(*inputs) 2025-08-26T20:20:34.5921301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5921382Z x = self.forward_features(x) 2025-08-26T20:20:34.5921649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5921724Z x = self.blocks(x) 2025-08-26T20:20:34.5921977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5922055Z x = self.conv_dw(x) 2025-08-26T20:20:34.5922285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5922406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5922643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5922756Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5922762Z 2025-08-26T20:20:34.5922858Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5922945Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5923039Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5923124Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5923286Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5923518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5923592Z return mod(*inputs) 2025-08-26T20:20:34.5923835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5923912Z x = self.forward_features(x) 2025-08-26T20:20:34.5924172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5924251Z x = self.blocks(x) 2025-08-26T20:20:34.5924503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5924586Z x = self.conv_dw(x) 2025-08-26T20:20:34.5924811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5924888Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5924900Z 2025-08-26T20:20:34.5924989Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5925103Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5925328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5925402Z return mod(*inputs) 2025-08-26T20:20:34.5925645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5925725Z x = self.forward_features(x) 2025-08-26T20:20:34.5925986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5926119Z x = self.blocks(x) 2025-08-26T20:20:34.5926370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5926446Z x = self.se(x) 2025-08-26T20:20:34.5926700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5926786Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5926789Z 2025-08-26T20:20:34.5926914Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5927224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5927311Z return mod(*inputs) 2025-08-26T20:20:34.5927548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5927629Z x = self.forward_features(x) 2025-08-26T20:20:34.5927901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5927979Z x = self.blocks(x) 2025-08-26T20:20:34.5928239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5928312Z x = self.se(x) 2025-08-26T20:20:34.5928565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5928655Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5928659Z 2025-08-26T20:20:34.5928776Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5929003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5929074Z return mod(*inputs) 2025-08-26T20:20:34.5929316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5929396Z x = self.forward_features(x) 2025-08-26T20:20:34.5929656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5929745Z x = self.blocks(x) 2025-08-26T20:20:34.5930036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5930112Z x = self.se(x) 2025-08-26T20:20:34.5930362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5930671Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5930677Z 2025-08-26T20:20:34.5930807Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5931030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5931111Z return mod(*inputs) 2025-08-26T20:20:34.5931349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5931434Z x = self.forward_features(x) 2025-08-26T20:20:34.5931702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5931774Z x = self.blocks(x) 2025-08-26T20:20:34.5932034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5932102Z x = self.se(x) 2025-08-26T20:20:34.5932358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5932439Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5932443Z 2025-08-26T20:20:34.5932556Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5932783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5932855Z return mod(*inputs) 2025-08-26T20:20:34.5933098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5933271Z x = self.forward_features(x) 2025-08-26T20:20:34.5933532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5933611Z x = self.blocks(x) 2025-08-26T20:20:34.5933867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5933945Z x = self.se(x) 2025-08-26T20:20:34.5934196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5934275Z return x * self.gate(x_se) 2025-08-26T20:20:34.5934278Z 2025-08-26T20:20:34.5934404Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5934630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5934716Z return mod(*inputs) 2025-08-26T20:20:34.5934952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5935031Z x = self.forward_features(x) 2025-08-26T20:20:34.5935304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5935376Z x = self.blocks(x) 2025-08-26T20:20:34.5935641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5935710Z x = self.se(x) 2025-08-26T20:20:34.5935972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5936051Z return x * self.gate(x_se) 2025-08-26T20:20:34.5936054Z 2025-08-26T20:20:34.5936144Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5936268Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5936493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5936575Z return mod(*inputs) 2025-08-26T20:20:34.5936901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5936983Z x = self.forward_features(x) 2025-08-26T20:20:34.5937249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5937321Z x = self.blocks(x) 2025-08-26T20:20:34.5937580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5937657Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5937887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5938015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5938260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5938384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5938388Z 2025-08-26T20:20:34.5938479Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5938599Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5938819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5938893Z return mod(*inputs) 2025-08-26T20:20:34.5939133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5939212Z x = self.forward_features(x) 2025-08-26T20:20:34.5939477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5939549Z x = self.blocks(x) 2025-08-26T20:20:34.5939800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5939926Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5940155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5940281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5940521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5940637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5940641Z 2025-08-26T20:20:34.5940737Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5940824Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5940946Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5941166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5941239Z return mod(*inputs) 2025-08-26T20:20:34.5941483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5941561Z x = self.forward_features(x) 2025-08-26T20:20:34.5941829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5941900Z x = self.blocks(x) 2025-08-26T20:20:34.5942157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5942232Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5942457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5942539Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5942543Z 2025-08-26T20:20:34.5942653Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5942879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5942955Z return mod(*inputs) 2025-08-26T20:20:34.5943185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5943271Z x = self.forward_features(x) 2025-08-26T20:20:34.5943562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5943644Z x = self.blocks(x) 2025-08-26T20:20:34.5943894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5943977Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5943982Z 2025-08-26T20:20:34.5944102Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5944317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5944394Z return mod(*inputs) 2025-08-26T20:20:34.5944627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5944708Z x = self.forward_features(x) 2025-08-26T20:20:34.5944978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5945049Z x = self.blocks(x) 2025-08-26T20:20:34.5945306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5945380Z x = self.conv_pw(x) 2025-08-26T20:20:34.5945383Z 2025-08-26T20:20:34.5945502Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5945718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5945791Z return mod(*inputs) 2025-08-26T20:20:34.5946030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5946155Z x = self.forward_features(x) 2025-08-26T20:20:34.5946421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5946491Z x = self.blocks(x) 2025-08-26T20:20:34.5946746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5946824Z x = self.bn1(x) 2025-08-26T20:20:34.5947046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5947125Z x = F.batch_norm( 2025-08-26T20:20:34.5947128Z 2025-08-26T20:20:34.5947242Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5947460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5947540Z return mod(*inputs) 2025-08-26T20:20:34.5947774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5947863Z x = self.forward_features(x) 2025-08-26T20:20:34.5948127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5948199Z x = self.blocks(x) 2025-08-26T20:20:34.5948466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5948536Z x = self.bn1(x) 2025-08-26T20:20:34.5948768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5948838Z x = self.act(x) 2025-08-26T20:20:34.5948842Z 2025-08-26T20:20:34.5948939Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5949054Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5949273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5949356Z return mod(*inputs) 2025-08-26T20:20:34.5949591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5949676Z x = self.forward_features(x) 2025-08-26T20:20:34.5949971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5950044Z x = self.blocks(x) 2025-08-26T20:20:34.5950305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5950378Z x = self.conv_dw(x) 2025-08-26T20:20:34.5950622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5950742Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5950990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5951118Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5951125Z 2025-08-26T20:20:34.5951218Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5951350Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5951572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5951645Z return mod(*inputs) 2025-08-26T20:20:34.5951890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5951968Z x = self.forward_features(x) 2025-08-26T20:20:34.5952240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5952311Z x = self.blocks(x) 2025-08-26T20:20:34.5952572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5952644Z x = self.conv_dw(x) 2025-08-26T20:20:34.5952906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5953032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5953274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5953395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5953399Z 2025-08-26T20:20:34.5953489Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5953601Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5953828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5953901Z return mod(*inputs) 2025-08-26T20:20:34.5954138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5954215Z x = self.forward_features(x) 2025-08-26T20:20:34.5954480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5954558Z x = self.blocks(x) 2025-08-26T20:20:34.5954810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5954890Z x = self.conv_dw(x) 2025-08-26T20:20:34.5955121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5955242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5955480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5955593Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5955597Z 2025-08-26T20:20:34.5955691Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5955807Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5956036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5956109Z return mod(*inputs) 2025-08-26T20:20:34.5956374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5956466Z x = self.forward_features(x) 2025-08-26T20:20:34.5956735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5956815Z x = self.blocks(x) 2025-08-26T20:20:34.5957072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5957145Z x = self.conv_dw(x) 2025-08-26T20:20:34.5957382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5957497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5957752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5957867Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5957871Z 2025-08-26T20:20:34.5957970Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5958058Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5958144Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5958235Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5958348Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5958577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5958650Z return mod(*inputs) 2025-08-26T20:20:34.5958896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5958981Z x = self.forward_features(x) 2025-08-26T20:20:34.5959288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5959365Z x = self.blocks(x) 2025-08-26T20:20:34.5959618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5959690Z x = self.conv_dw(x) 2025-08-26T20:20:34.5959923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5959998Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5960002Z 2025-08-26T20:20:34.5960096Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5960209Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5960428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5960510Z return mod(*inputs) 2025-08-26T20:20:34.5960742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5960832Z x = self.forward_features(x) 2025-08-26T20:20:34.5961092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5961167Z x = self.blocks(x) 2025-08-26T20:20:34.5961424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5961493Z x = self.se(x) 2025-08-26T20:20:34.5961749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5961833Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5961837Z 2025-08-26T20:20:34.5961959Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5962179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5962252Z return mod(*inputs) 2025-08-26T20:20:34.5962495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5962573Z x = self.forward_features(x) 2025-08-26T20:20:34.5962886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5962961Z x = self.blocks(x) 2025-08-26T20:20:34.5963214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5963292Z x = self.se(x) 2025-08-26T20:20:34.5963544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5963634Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5963638Z 2025-08-26T20:20:34.5963753Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5963974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5964059Z return mod(*inputs) 2025-08-26T20:20:34.5964295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5964383Z x = self.forward_features(x) 2025-08-26T20:20:34.5964648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5964720Z x = self.blocks(x) 2025-08-26T20:20:34.5964981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5965048Z x = self.se(x) 2025-08-26T20:20:34.5965305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5965382Z x_se = self.act1(x_se) 2025-08-26T20:20:34.5965386Z 2025-08-26T20:20:34.5965505Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5965725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5965832Z return mod(*inputs) 2025-08-26T20:20:34.5966081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5966163Z x = self.forward_features(x) 2025-08-26T20:20:34.5966434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5966506Z x = self.blocks(x) 2025-08-26T20:20:34.5966759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5966835Z x = self.se(x) 2025-08-26T20:20:34.5967169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.5967267Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.5967271Z 2025-08-26T20:20:34.5967389Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5967613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5967694Z return mod(*inputs) 2025-08-26T20:20:34.5967935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5968021Z x = self.forward_features(x) 2025-08-26T20:20:34.5968282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5968354Z x = self.blocks(x) 2025-08-26T20:20:34.5968616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5968684Z x = self.se(x) 2025-08-26T20:20:34.5968943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5969023Z return x * self.gate(x_se) 2025-08-26T20:20:34.5969031Z 2025-08-26T20:20:34.5969153Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5969373Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5969446Z return mod(*inputs) 2025-08-26T20:20:34.5969735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5969815Z x = self.forward_features(x) 2025-08-26T20:20:34.5970084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5970154Z x = self.blocks(x) 2025-08-26T20:20:34.5970407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5970482Z x = self.se(x) 2025-08-26T20:20:34.5970730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.5970817Z return x * self.gate(x_se) 2025-08-26T20:20:34.5970821Z 2025-08-26T20:20:34.5970911Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5971025Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5971253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5971326Z return mod(*inputs) 2025-08-26T20:20:34.5971569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5971647Z x = self.forward_features(x) 2025-08-26T20:20:34.5971907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5971985Z x = self.blocks(x) 2025-08-26T20:20:34.5972237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5972320Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5972595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5972719Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5972961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5973080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5973084Z 2025-08-26T20:20:34.5973180Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5973292Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5973517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5973589Z return mod(*inputs) 2025-08-26T20:20:34.5973820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5973907Z x = self.forward_features(x) 2025-08-26T20:20:34.5974165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5974245Z x = self.blocks(x) 2025-08-26T20:20:34.5974496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5974573Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5974807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5974921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5975167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5975282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5975286Z 2025-08-26T20:20:34.5975382Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5975470Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5975587Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5975813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5975885Z return mod(*inputs) 2025-08-26T20:20:34.5976159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5976243Z x = self.forward_features(x) 2025-08-26T20:20:34.5976513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5976592Z x = self.blocks(x) 2025-08-26T20:20:34.5976850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.5976934Z x = self.conv_pwl(x) 2025-08-26T20:20:34.5977162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5977241Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5977244Z 2025-08-26T20:20:34.5977366Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5977585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5977671Z return mod(*inputs) 2025-08-26T20:20:34.5977906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5977986Z x = self.forward_features(x) 2025-08-26T20:20:34.5978251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5978322Z x = self.blocks(x) 2025-08-26T20:20:34.5978579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.5978662Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.5978666Z 2025-08-26T20:20:34.5978785Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5979039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5979112Z return mod(*inputs) 2025-08-26T20:20:34.5979353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5979431Z x = self.forward_features(x) 2025-08-26T20:20:34.5979693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5979763Z x = self.blocks(x) 2025-08-26T20:20:34.5980011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:20:34.5980092Z x = self.conv_pw(x) 2025-08-26T20:20:34.5980096Z 2025-08-26T20:20:34.5980208Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5980431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5980506Z return mod(*inputs) 2025-08-26T20:20:34.5980736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5980821Z x = self.forward_features(x) 2025-08-26T20:20:34.5981080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5981156Z x = self.blocks(x) 2025-08-26T20:20:34.5981406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5981474Z x = self.bn1(x) 2025-08-26T20:20:34.5981702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:20:34.5981772Z x = F.batch_norm( 2025-08-26T20:20:34.5981775Z 2025-08-26T20:20:34.5981896Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5982112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5982195Z return mod(*inputs) 2025-08-26T20:20:34.5982428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5982539Z x = self.forward_features(x) 2025-08-26T20:20:34.5982806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5982877Z x = self.blocks(x) 2025-08-26T20:20:34.5983134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:20:34.5983204Z x = self.bn1(x) 2025-08-26T20:20:34.5983423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:20:34.5983500Z x = self.act(x) 2025-08-26T20:20:34.5983504Z 2025-08-26T20:20:34.5983591Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5983715Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5983933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5984005Z return mod(*inputs) 2025-08-26T20:20:34.5984245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5984324Z x = self.forward_features(x) 2025-08-26T20:20:34.5984590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5984660Z x = self.blocks(x) 2025-08-26T20:20:34.5984908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5984988Z x = self.conv_dw(x) 2025-08-26T20:20:34.5985214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5985338Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5985637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5985761Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5985767Z 2025-08-26T20:20:34.5985857Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5985970Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5986196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5986269Z return mod(*inputs) 2025-08-26T20:20:34.5986511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5986588Z x = self.forward_features(x) 2025-08-26T20:20:34.5986846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5986925Z x = self.blocks(x) 2025-08-26T20:20:34.5987177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5987256Z x = self.conv_dw(x) 2025-08-26T20:20:34.5987484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5987598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5987845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5987958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5987961Z 2025-08-26T20:20:34.5988055Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5988168Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5988394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5988470Z return mod(*inputs) 2025-08-26T20:20:34.5988705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5988792Z x = self.forward_features(x) 2025-08-26T20:20:34.5989090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5989170Z x = self.blocks(x) 2025-08-26T20:20:34.5989428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5989499Z x = self.conv_dw(x) 2025-08-26T20:20:34.5989735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5989853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5990103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5990221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5990225Z 2025-08-26T20:20:34.5990315Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5990439Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5990663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5990744Z return mod(*inputs) 2025-08-26T20:20:34.5990979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5991057Z x = self.forward_features(x) 2025-08-26T20:20:34.5991327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5991399Z x = self.blocks(x) 2025-08-26T20:20:34.5991658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5991731Z x = self.conv_dw(x) 2025-08-26T20:20:34.5992002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.5992117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5992365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.5992487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.5992491Z 2025-08-26T20:20:34.5992580Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5992675Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5992763Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5992848Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5992968Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5993186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5993266Z return mod(*inputs) 2025-08-26T20:20:34.5993501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5993579Z x = self.forward_features(x) 2025-08-26T20:20:34.5993854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5993925Z x = self.blocks(x) 2025-08-26T20:20:34.5994183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:20:34.5994254Z x = self.conv_dw(x) 2025-08-26T20:20:34.5994483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.5994567Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.5994571Z 2025-08-26T20:20:34.5994657Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.5994778Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5994997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5995073Z return mod(*inputs) 2025-08-26T20:20:34.5995322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5995443Z x = self.forward_features(x) 2025-08-26T20:20:34.5995720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5995792Z x = self.blocks(x) 2025-08-26T20:20:34.5996055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5996123Z x = self.se(x) 2025-08-26T20:20:34.5996371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:20:34.5996463Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:20:34.5996467Z 2025-08-26T20:20:34.5996581Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5996809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5996881Z return mod(*inputs) 2025-08-26T20:20:34.5997118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5997207Z x = self.forward_features(x) 2025-08-26T20:20:34.5997478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5997555Z x = self.blocks(x) 2025-08-26T20:20:34.5997807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5997876Z x = self.se(x) 2025-08-26T20:20:34.5998132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:20:34.5998213Z x_se = self.conv_reduce(x_se) 2025-08-26T20:20:34.5998258Z 2025-08-26T20:20:34.5998384Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.5998611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.5998690Z return mod(*inputs) 2025-08-26T20:20:34.5998927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.5999006Z x = self.forward_features(x) 2025-08-26T20:20:34.5999275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.5999346Z x = self.blocks(x) 2025-08-26T20:20:34.5999599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.5999666Z x = self.se(x) 2025-08-26T20:20:34.5999911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:20:34.5999997Z x_se = self.act1(x_se) 2025-08-26T20:20:34.6000000Z 2025-08-26T20:20:34.6000113Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6000348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6000421Z return mod(*inputs) 2025-08-26T20:20:34.6000653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6000742Z x = self.forward_features(x) 2025-08-26T20:20:34.6001015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6001092Z x = self.blocks(x) 2025-08-26T20:20:34.6001340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.6001407Z x = self.se(x) 2025-08-26T20:20:34.6001660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:20:34.6001743Z x_se = self.conv_expand(x_se) 2025-08-26T20:20:34.6001746Z 2025-08-26T20:20:34.6001866Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6002124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6002205Z return mod(*inputs) 2025-08-26T20:20:34.6002442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6002521Z x = self.forward_features(x) 2025-08-26T20:20:34.6002789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6002859Z x = self.blocks(x) 2025-08-26T20:20:34.6003119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.6003188Z x = self.se(x) 2025-08-26T20:20:34.6003440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.6003526Z return x * self.gate(x_se) 2025-08-26T20:20:34.6003530Z 2025-08-26T20:20:34.6003647Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6003873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6003945Z return mod(*inputs) 2025-08-26T20:20:34.6004179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6004266Z x = self.forward_features(x) 2025-08-26T20:20:34.6004526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6004604Z x = self.blocks(x) 2025-08-26T20:20:34.6004854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:20:34.6004959Z x = self.se(x) 2025-08-26T20:20:34.6005223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:20:34.6005303Z return x * self.gate(x_se) 2025-08-26T20:20:34.6005309Z 2025-08-26T20:20:34.6005409Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.6005523Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6005757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6005831Z return mod(*inputs) 2025-08-26T20:20:34.6006075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6006163Z x = self.forward_features(x) 2025-08-26T20:20:34.6006434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6006513Z x = self.blocks(x) 2025-08-26T20:20:34.6006775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.6006850Z x = self.conv_pwl(x) 2025-08-26T20:20:34.6007192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.6007321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.6007577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.6007697Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.6007701Z 2025-08-26T20:20:34.6007794Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.6007921Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6008146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6008232Z return mod(*inputs) 2025-08-26T20:20:34.6008472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6008554Z x = self.forward_features(x) 2025-08-26T20:20:34.6008881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6008953Z x = self.blocks(x) 2025-08-26T20:20:34.6009212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.6009288Z x = self.conv_pwl(x) 2025-08-26T20:20:34.6009524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:20:34.6009642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.6009883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:20:34.6010008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:20:34.6010011Z 2025-08-26T20:20:34.6010100Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.6010196Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.6010313Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6010537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6010619Z return mod(*inputs) 2025-08-26T20:20:34.6010856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6010941Z x = self.forward_features(x) 2025-08-26T20:20:34.6011203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6011275Z x = self.blocks(x) 2025-08-26T20:20:34.6011537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:20:34.6011653Z x = self.conv_pwl(x) 2025-08-26T20:20:34.6011889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:20:34.6011966Z x = torch.cat(x_out, 1) 2025-08-26T20:20:34.6011973Z 2025-08-26T20:20:34.6012093Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6012312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6012384Z return mod(*inputs) 2025-08-26T20:20:34.6012626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6012705Z x = self.forward_features(x) 2025-08-26T20:20:34.6012971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:20:34.6013042Z x = self.blocks(x) 2025-08-26T20:20:34.6013294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:20:34.6013388Z x = self.drop_path(x) + shortcut 2025-08-26T20:20:34.6013392Z 2025-08-26T20:20:34.6013504Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6013731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6013806Z return mod(*inputs) 2025-08-26T20:20:34.6014040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:20:34.6014125Z x = self.forward_features(x) 2025-08-26T20:20:34.6014381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-26T20:20:34.6014465Z x = self.conv_head(x) 2025-08-26T20:20:34.6014469Z 2025-08-26T20:20:34.6014556Z cudagraph partition due to non gpu ops 2025-08-26T20:20:34.6014668Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6014896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6014969Z return mod(*inputs) 2025-08-26T20:20:34.6015250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-26T20:20:34.6015332Z x = self.forward_head(x) 2025-08-26T20:20:34.6015589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-26T20:20:34.6015664Z x = self.global_pool(x) 2025-08-26T20:20:34.6015920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-26T20:20:34.6016001Z x = self.pool(x) 2025-08-26T20:20:34.6016006Z 2025-08-26T20:20:34.6016120Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:20:34.6016345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:20:34.6016421Z return mod(*inputs) 2025-08-26T20:20:34.6016653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-26T20:20:34.6016739Z x = self.forward_head(x) 2025-08-26T20:20:34.6016992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-26T20:20:34.6017112Z return x if pre_logits else self.classifier(x) 2025-08-26T20:20:34.6017116Z 2025-08-26T20:21:02.7125616Z Compilation time (from dynamo_timed): 60.760804459 2025-08-26T20:21:02.7125947Z pass 2025-08-26T20:21:02.7133599Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-26T20:21:02.7134680Z TIMING: _recursive_pre_grad_passes:0.01247 _recursive_joint_graph_passes:0.22371 _recursive_post_grad_passes:0.16688 async_compile.wait:1.05071 code_gen:26.41288 inductor_compile:33.1306 backend_compile:49.2055 gc:0.00116 entire_frame_compile:60.7608 total_wall_time:60.7608 2025-08-26T20:21:02.7136302Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:20142 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:8769 | ProxyTorchDispatchMode.__torch_dispatch__:7333 2025-08-26T20:21:02.7136971Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-08-26T20:21:10.7845921Z 2025-08-26T20:21:10.9178776Z loading model: 0it [00:00, ?it/s] 2025-08-26T20:21:10.9179011Z 2025-08-26T20:21:11.0046534Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-26T20:45:21.5421763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5421959Z 2025-08-26T20:45:21.5422055Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5422331Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5422834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5423380Z return mod(*inputs) 2025-08-26T20:45:21.5423886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5424391Z x = self.forward_features(x) 2025-08-26T20:45:21.5424954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5425585Z x = self.blocks(x) 2025-08-26T20:45:21.5426124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5426529Z x = self.conv_pw(x) 2025-08-26T20:45:21.5427023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5427681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5428215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5428924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5429133Z 2025-08-26T20:45:21.5429229Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5429474Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5429744Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5430214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5430887Z return mod(*inputs) 2025-08-26T20:45:21.5431255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5431700Z x = self.forward_features(x) 2025-08-26T20:45:21.5432139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5432543Z x = self.blocks(x) 2025-08-26T20:45:21.5432927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5433336Z x = self.conv_pw(x) 2025-08-26T20:45:21.5433756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5434145Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5434283Z 2025-08-26T20:45:21.5434401Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5434890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5435390Z return mod(*inputs) 2025-08-26T20:45:21.5435921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5436491Z x = self.forward_features(x) 2025-08-26T20:45:21.5437110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5437620Z x = self.blocks(x) 2025-08-26T20:45:21.5438280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5438832Z x = self.bn1(x) 2025-08-26T20:45:21.5439333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5439841Z x = self.act(x) 2025-08-26T20:45:21.5439995Z 2025-08-26T20:45:21.5440183Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5440692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5441117Z return mod(*inputs) 2025-08-26T20:45:21.5441573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5442098Z x = self.forward_features(x) 2025-08-26T20:45:21.5442650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5443412Z x = self.blocks(x) 2025-08-26T20:45:21.5443807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5444369Z x = self.conv_dw(x) 2025-08-26T20:45:21.5444718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5445212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5445787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5446384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5447177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5447580Z return conv2d_same( 2025-08-26T20:45:21.5447947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5448754Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5449279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5449830Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5450282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5450682Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5450920Z 2025-08-26T20:45:21.5451076Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5451495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5451877Z return mod(*inputs) 2025-08-26T20:45:21.5452333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5452716Z x = self.forward_features(x) 2025-08-26T20:45:21.5453188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5453623Z x = self.blocks(x) 2025-08-26T20:45:21.5454048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5454463Z x = self.conv_dw(x) 2025-08-26T20:45:21.5454904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5455486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5456068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5456542Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5456978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5457352Z return conv2d_same( 2025-08-26T20:45:21.5457711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5458178Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5458381Z 2025-08-26T20:45:21.5458509Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5458907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5459274Z return mod(*inputs) 2025-08-26T20:45:21.5459632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5460035Z x = self.forward_features(x) 2025-08-26T20:45:21.5460436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5460949Z x = self.blocks(x) 2025-08-26T20:45:21.5461480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5462046Z x = self.conv_dw(x) 2025-08-26T20:45:21.5462498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5463074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5463548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5464158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5464574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5465102Z return conv2d_same( 2025-08-26T20:45:21.5465560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5466018Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5466463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5466931Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5467367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5467872Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5468052Z 2025-08-26T20:45:21.5468187Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5468685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5469128Z return mod(*inputs) 2025-08-26T20:45:21.5469488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5469886Z x = self.forward_features(x) 2025-08-26T20:45:21.5470413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5470883Z x = self.blocks(x) 2025-08-26T20:45:21.5471271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5471733Z x = self.conv_dw(x) 2025-08-26T20:45:21.5472088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5472567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5473022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5473551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5474039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5474464Z return conv2d_same( 2025-08-26T20:45:21.5474952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5475515Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5475817Z 2025-08-26T20:45:21.5475941Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5476349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5476819Z return mod(*inputs) 2025-08-26T20:45:21.5477241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5477631Z x = self.forward_features(x) 2025-08-26T20:45:21.5478125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5478544Z x = self.blocks(x) 2025-08-26T20:45:21.5479021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5479426Z x = self.conv_dw(x) 2025-08-26T20:45:21.5479840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5480286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5480714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5481139Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5481649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5482133Z return conv2d_same( 2025-08-26T20:45:21.5482498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5483065Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5483647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5484096Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5484541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5484946Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5485125Z 2025-08-26T20:45:21.5485277Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5485750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5486106Z return mod(*inputs) 2025-08-26T20:45:21.5486466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5487050Z x = self.forward_features(x) 2025-08-26T20:45:21.5487476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5487982Z x = self.blocks(x) 2025-08-26T20:45:21.5488360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5488816Z x = self.conv_dw(x) 2025-08-26T20:45:21.5489213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5489636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5490064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5490605Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5491134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5491684Z return conv2d_same( 2025-08-26T20:45:21.5492242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5492753Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5493060Z 2025-08-26T20:45:21.5493197Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5493480Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5493758Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5494140Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5494730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5495226Z return mod(*inputs) 2025-08-26T20:45:21.5495678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5496065Z x = self.forward_features(x) 2025-08-26T20:45:21.5496633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5497128Z x = self.blocks(x) 2025-08-26T20:45:21.5497594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5498091Z x = self.conv_dw(x) 2025-08-26T20:45:21.5498507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5499057Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5499255Z 2025-08-26T20:45:21.5499433Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5499924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5500452Z return mod(*inputs) 2025-08-26T20:45:21.5500933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5501426Z x = self.forward_features(x) 2025-08-26T20:45:21.5501999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5502582Z x = self.blocks(x) 2025-08-26T20:45:21.5503101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:45:21.5503553Z x = self.bn2(x) 2025-08-26T20:45:21.5503952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5504517Z x = self.act(x) 2025-08-26T20:45:21.5504632Z 2025-08-26T20:45:21.5504802Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5505319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5505777Z return mod(*inputs) 2025-08-26T20:45:21.5506282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5506748Z x = self.forward_features(x) 2025-08-26T20:45:21.5507290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5507919Z x = self.blocks(x) 2025-08-26T20:45:21.5508296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5508775Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5509128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5509552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5509981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5510416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5510596Z 2025-08-26T20:45:21.5510735Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5511249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5511613Z return mod(*inputs) 2025-08-26T20:45:21.5512000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5512437Z x = self.forward_features(x) 2025-08-26T20:45:21.5512835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5513240Z x = self.blocks(x) 2025-08-26T20:45:21.5513611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5514016Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5514377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5517933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5518536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5519148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5519391Z 2025-08-26T20:45:21.5519540Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5519867Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5520241Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5520821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5521350Z return mod(*inputs) 2025-08-26T20:45:21.5521866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5522355Z x = self.forward_features(x) 2025-08-26T20:45:21.5522884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5523409Z x = self.blocks(x) 2025-08-26T20:45:21.5523998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5524457Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5525005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5525570Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5525715Z 2025-08-26T20:45:21.5525901Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5526436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5527083Z return mod(*inputs) 2025-08-26T20:45:21.5527481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5528085Z x = self.forward_features(x) 2025-08-26T20:45:21.5528567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5529057Z x = self.blocks(x) 2025-08-26T20:45:21.5529517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:45:21.5530124Z x = self.bn3(x) 2025-08-26T20:45:21.5530622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5531009Z x = F.batch_norm( 2025-08-26T20:45:21.5531187Z 2025-08-26T20:45:21.5531310Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5531771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5532185Z return mod(*inputs) 2025-08-26T20:45:21.5532706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5533287Z x = self.forward_features(x) 2025-08-26T20:45:21.5533837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5534339Z x = self.blocks(x) 2025-08-26T20:45:21.5534805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5553159Z x = self.conv_pw(x) 2025-08-26T20:45:21.5553776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5554238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5554692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5555127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5555337Z 2025-08-26T20:45:21.5555467Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5556101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5556487Z return mod(*inputs) 2025-08-26T20:45:21.5556870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5557269Z x = self.forward_features(x) 2025-08-26T20:45:21.5557677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5558086Z x = self.blocks(x) 2025-08-26T20:45:21.5558464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5558862Z x = self.conv_pw(x) 2025-08-26T20:45:21.5559214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5559684Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5560117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5560592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5560770Z 2025-08-26T20:45:21.5560878Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5561128Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5561394Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5561801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5562168Z return mod(*inputs) 2025-08-26T20:45:21.5562533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5562911Z x = self.forward_features(x) 2025-08-26T20:45:21.5563315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5563719Z x = self.blocks(x) 2025-08-26T20:45:21.5564098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5564491Z x = self.conv_pw(x) 2025-08-26T20:45:21.5564830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5565202Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5565329Z 2025-08-26T20:45:21.5565457Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5565858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5566215Z return mod(*inputs) 2025-08-26T20:45:21.5566566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5567097Z x = self.forward_features(x) 2025-08-26T20:45:21.5567519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5567923Z x = self.blocks(x) 2025-08-26T20:45:21.5568326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5568723Z x = self.bn1(x) 2025-08-26T20:45:21.5569067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5569431Z x = self.act(x) 2025-08-26T20:45:21.5569538Z 2025-08-26T20:45:21.5569657Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5570062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5570427Z return mod(*inputs) 2025-08-26T20:45:21.5570782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5571159Z x = self.forward_features(x) 2025-08-26T20:45:21.5571559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5572004Z x = self.blocks(x) 2025-08-26T20:45:21.5572379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5572776Z x = self.conv_dw(x) 2025-08-26T20:45:21.5572891Z 2025-08-26T20:45:21.5573008Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5573414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5573779Z return mod(*inputs) 2025-08-26T20:45:21.5574132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5574521Z x = self.forward_features(x) 2025-08-26T20:45:21.5574912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5575334Z x = self.blocks(x) 2025-08-26T20:45:21.5575707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:45:21.5576118Z x = self.bn2(x) 2025-08-26T20:45:21.5576447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5576806Z x = self.act(x) 2025-08-26T20:45:21.5576920Z 2025-08-26T20:45:21.5577038Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5577441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5577795Z return mod(*inputs) 2025-08-26T20:45:21.5578146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5578527Z x = self.forward_features(x) 2025-08-26T20:45:21.5578929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5579331Z x = self.blocks(x) 2025-08-26T20:45:21.5579696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5580102Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5580463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5580889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5581306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5581732Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5581915Z 2025-08-26T20:45:21.5582036Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5582434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5582793Z return mod(*inputs) 2025-08-26T20:45:21.5583150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5583554Z x = self.forward_features(x) 2025-08-26T20:45:21.5583961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5584362Z x = self.blocks(x) 2025-08-26T20:45:21.5584722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5585121Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5585477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5585892Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5586315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5586735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5586945Z 2025-08-26T20:45:21.5587041Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5587295Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5587571Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5587970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5588340Z return mod(*inputs) 2025-08-26T20:45:21.5588700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5589096Z x = self.forward_features(x) 2025-08-26T20:45:21.5589499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5589913Z x = self.blocks(x) 2025-08-26T20:45:21.5590304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5590700Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5591063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5591452Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5591590Z 2025-08-26T20:45:21.5591708Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5592112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5592477Z return mod(*inputs) 2025-08-26T20:45:21.5592844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5593237Z x = self.forward_features(x) 2025-08-26T20:45:21.5593643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5594055Z x = self.blocks(x) 2025-08-26T20:45:21.5594428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.5594827Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.5594980Z 2025-08-26T20:45:21.5595100Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5595502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5595867Z return mod(*inputs) 2025-08-26T20:45:21.5596230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5596618Z x = self.forward_features(x) 2025-08-26T20:45:21.5597030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5597439Z x = self.blocks(x) 2025-08-26T20:45:21.5597812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5598200Z x = self.conv_pw(x) 2025-08-26T20:45:21.5598323Z 2025-08-26T20:45:21.5598443Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5598880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5599240Z return mod(*inputs) 2025-08-26T20:45:21.5599589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5599976Z x = self.forward_features(x) 2025-08-26T20:45:21.5600370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5600770Z x = self.blocks(x) 2025-08-26T20:45:21.5601137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5601518Z x = self.bn1(x) 2025-08-26T20:45:21.5601858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5602232Z x = F.batch_norm( 2025-08-26T20:45:21.5602376Z 2025-08-26T20:45:21.5602500Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5602907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5603263Z return mod(*inputs) 2025-08-26T20:45:21.5603618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5604013Z x = self.forward_features(x) 2025-08-26T20:45:21.5604412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5604813Z x = self.blocks(x) 2025-08-26T20:45:21.5605182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5605599Z x = self.bn1(x) 2025-08-26T20:45:21.5605935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5606297Z x = self.act(x) 2025-08-26T20:45:21.5606402Z 2025-08-26T20:45:21.5606561Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5607095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5607474Z return mod(*inputs) 2025-08-26T20:45:21.5607829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5608210Z x = self.forward_features(x) 2025-08-26T20:45:21.5608616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5609024Z x = self.blocks(x) 2025-08-26T20:45:21.5609395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5609801Z x = self.conv_dw(x) 2025-08-26T20:45:21.5610147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5610577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5611009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5611439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5611843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5612215Z return conv2d_same( 2025-08-26T20:45:21.5612575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5613004Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5613410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5613868Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5614358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5614760Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5614935Z 2025-08-26T20:45:21.5615061Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5615465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5615824Z return mod(*inputs) 2025-08-26T20:45:21.5616177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5616560Z x = self.forward_features(x) 2025-08-26T20:45:21.5616965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5617363Z x = self.blocks(x) 2025-08-26T20:45:21.5617737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5618163Z x = self.conv_dw(x) 2025-08-26T20:45:21.5618510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5618932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5619349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5619779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5620187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5620558Z return conv2d_same( 2025-08-26T20:45:21.5620902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5621396Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5621609Z 2025-08-26T20:45:21.5621728Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5622166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5622531Z return mod(*inputs) 2025-08-26T20:45:21.5622879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5623266Z x = self.forward_features(x) 2025-08-26T20:45:21.5623666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5624081Z x = self.blocks(x) 2025-08-26T20:45:21.5624446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5624845Z x = self.conv_dw(x) 2025-08-26T20:45:21.5625192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5625615Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5626044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5626463Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5626875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5627244Z return conv2d_same( 2025-08-26T20:45:21.5627596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5628023Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5628415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5628868Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5629305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5629736Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5629914Z 2025-08-26T20:45:21.5630033Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5630720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5631104Z return mod(*inputs) 2025-08-26T20:45:21.5631465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5631857Z x = self.forward_features(x) 2025-08-26T20:45:21.5632256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5632671Z x = self.blocks(x) 2025-08-26T20:45:21.5633046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5633517Z x = self.conv_dw(x) 2025-08-26T20:45:21.5633861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5634282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5634712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5635152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5635566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5635934Z return conv2d_same( 2025-08-26T20:45:21.5636301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5636800Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5637004Z 2025-08-26T20:45:21.5637135Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5637576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5637938Z return mod(*inputs) 2025-08-26T20:45:21.5638297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5638697Z x = self.forward_features(x) 2025-08-26T20:45:21.5639107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5639506Z x = self.blocks(x) 2025-08-26T20:45:21.5639876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5640270Z x = self.conv_dw(x) 2025-08-26T20:45:21.5640629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5641045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5641472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5641898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5642312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5642683Z return conv2d_same( 2025-08-26T20:45:21.5643033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5643464Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5643869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5644321Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5644755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5645193Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5645382Z 2025-08-26T20:45:21.5645501Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5645911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5646276Z return mod(*inputs) 2025-08-26T20:45:21.5646629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5647150Z x = self.forward_features(x) 2025-08-26T20:45:21.5647567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5647983Z x = self.blocks(x) 2025-08-26T20:45:21.5648369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5648805Z x = self.conv_dw(x) 2025-08-26T20:45:21.5649157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5649578Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5650014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5650446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5650862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5651230Z return conv2d_same( 2025-08-26T20:45:21.5651593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5652059Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5652309Z 2025-08-26T20:45:21.5652437Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5652854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5653250Z return mod(*inputs) 2025-08-26T20:45:21.5653606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5653995Z x = self.forward_features(x) 2025-08-26T20:45:21.5654397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5654800Z x = self.blocks(x) 2025-08-26T20:45:21.5655180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5655576Z x = self.conv_dw(x) 2025-08-26T20:45:21.5655927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5656352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5656778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5657210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5657623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5657994Z return conv2d_same( 2025-08-26T20:45:21.5658347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5658775Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5659178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5659632Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5660074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5660471Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5660651Z 2025-08-26T20:45:21.5660800Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5661212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5661582Z return mod(*inputs) 2025-08-26T20:45:21.5661932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5662326Z x = self.forward_features(x) 2025-08-26T20:45:21.5662728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5663136Z x = self.blocks(x) 2025-08-26T20:45:21.5663515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5663910Z x = self.conv_dw(x) 2025-08-26T20:45:21.5664263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5664708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5665133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5665554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5665952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5666320Z return conv2d_same( 2025-08-26T20:45:21.5666678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5667129Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5667374Z 2025-08-26T20:45:21.5667468Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5667723Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5667966Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5668204Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5668488Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5668898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5669264Z return mod(*inputs) 2025-08-26T20:45:21.5669627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5670017Z x = self.forward_features(x) 2025-08-26T20:45:21.5670413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5670818Z x = self.blocks(x) 2025-08-26T20:45:21.5671199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5671612Z x = self.conv_dw(x) 2025-08-26T20:45:21.5671960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5672359Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5672495Z 2025-08-26T20:45:21.5672615Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5673036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5673416Z return mod(*inputs) 2025-08-26T20:45:21.5673765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5674165Z x = self.forward_features(x) 2025-08-26T20:45:21.5674575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5674986Z x = self.blocks(x) 2025-08-26T20:45:21.5675356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:45:21.5675754Z x = self.bn2(x) 2025-08-26T20:45:21.5676135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5676516Z x = F.batch_norm( 2025-08-26T20:45:21.5676631Z 2025-08-26T20:45:21.5676753Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5677149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5677528Z return mod(*inputs) 2025-08-26T20:45:21.5677883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5678279Z x = self.forward_features(x) 2025-08-26T20:45:21.5678676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5679089Z x = self.blocks(x) 2025-08-26T20:45:21.5679458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-26T20:45:21.5679872Z x = self.bn2(x) 2025-08-26T20:45:21.5680219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5680571Z x = self.act(x) 2025-08-26T20:45:21.5680683Z 2025-08-26T20:45:21.5680801Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5681200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5681564Z return mod(*inputs) 2025-08-26T20:45:21.5681915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5682313Z x = self.forward_features(x) 2025-08-26T20:45:21.5682712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5683132Z x = self.blocks(x) 2025-08-26T20:45:21.5683500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5683884Z x = self.se(x) 2025-08-26T20:45:21.5684267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5684677Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5684820Z 2025-08-26T20:45:21.5684945Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5685343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5685708Z return mod(*inputs) 2025-08-26T20:45:21.5686072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5686475Z x = self.forward_features(x) 2025-08-26T20:45:21.5686976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5687402Z x = self.blocks(x) 2025-08-26T20:45:21.5687781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5688178Z x = self.se(x) 2025-08-26T20:45:21.5688544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5688937Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5689075Z 2025-08-26T20:45:21.5689195Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5689602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5689971Z return mod(*inputs) 2025-08-26T20:45:21.5690326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5690720Z x = self.forward_features(x) 2025-08-26T20:45:21.5691119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5691520Z x = self.blocks(x) 2025-08-26T20:45:21.5691932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5692315Z x = self.se(x) 2025-08-26T20:45:21.5692675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5693073Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5693217Z 2025-08-26T20:45:21.5693344Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5693747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5694101Z return mod(*inputs) 2025-08-26T20:45:21.5694489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5694880Z x = self.forward_features(x) 2025-08-26T20:45:21.5695271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5695706Z x = self.blocks(x) 2025-08-26T20:45:21.5696078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5696465Z x = self.se(x) 2025-08-26T20:45:21.5696818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5697207Z return x * self.gate(x_se) 2025-08-26T20:45:21.5697343Z 2025-08-26T20:45:21.5697460Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5697849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5698201Z return mod(*inputs) 2025-08-26T20:45:21.5698568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5698942Z x = self.forward_features(x) 2025-08-26T20:45:21.5699354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5699743Z x = self.blocks(x) 2025-08-26T20:45:21.5700094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5700470Z x = self.se(x) 2025-08-26T20:45:21.5700819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5701212Z return x * self.gate(x_se) 2025-08-26T20:45:21.5701342Z 2025-08-26T20:45:21.5701464Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5701857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5702219Z return mod(*inputs) 2025-08-26T20:45:21.5702574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5702971Z x = self.forward_features(x) 2025-08-26T20:45:21.5703357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5703735Z x = self.blocks(x) 2025-08-26T20:45:21.5704092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5704483Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5704605Z 2025-08-26T20:45:21.5704729Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5705121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5705479Z return mod(*inputs) 2025-08-26T20:45:21.5705829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5706216Z x = self.forward_features(x) 2025-08-26T20:45:21.5706617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5707042Z x = self.blocks(x) 2025-08-26T20:45:21.5707410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:45:21.5707804Z x = self.bn3(x) 2025-08-26T20:45:21.5708153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5708500Z x = F.batch_norm( 2025-08-26T20:45:21.5708618Z 2025-08-26T20:45:21.5708734Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5709126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5709486Z return mod(*inputs) 2025-08-26T20:45:21.5709848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5710227Z x = self.forward_features(x) 2025-08-26T20:45:21.5710659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5711068Z x = self.blocks(x) 2025-08-26T20:45:21.5711437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5711836Z x = self.conv_pw(x) 2025-08-26T20:45:21.5712187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5712621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5713053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5713482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5713682Z 2025-08-26T20:45:21.5713801Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5714206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5714578Z return mod(*inputs) 2025-08-26T20:45:21.5714970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5715359Z x = self.forward_features(x) 2025-08-26T20:45:21.5715772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5716176Z x = self.blocks(x) 2025-08-26T20:45:21.5716547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5716941Z x = self.conv_pw(x) 2025-08-26T20:45:21.5717281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5717712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5718137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5718563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5718738Z 2025-08-26T20:45:21.5718838Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5719076Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5719343Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5719746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5720116Z return mod(*inputs) 2025-08-26T20:45:21.5720466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5720862Z x = self.forward_features(x) 2025-08-26T20:45:21.5721270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5721680Z x = self.blocks(x) 2025-08-26T20:45:21.5722072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5722469Z x = self.conv_pw(x) 2025-08-26T20:45:21.5722816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5723193Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5723320Z 2025-08-26T20:45:21.5723444Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5723838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5724205Z return mod(*inputs) 2025-08-26T20:45:21.5724563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5724953Z x = self.forward_features(x) 2025-08-26T20:45:21.5725343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5725795Z x = self.blocks(x) 2025-08-26T20:45:21.5726168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5726563Z x = self.bn1(x) 2025-08-26T20:45:21.5727001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5727418Z x = F.batch_norm( 2025-08-26T20:45:21.5727537Z 2025-08-26T20:45:21.5727654Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5728060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5728429Z return mod(*inputs) 2025-08-26T20:45:21.5728781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5729208Z x = self.forward_features(x) 2025-08-26T20:45:21.5729617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5730023Z x = self.blocks(x) 2025-08-26T20:45:21.5730669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5731069Z x = self.bn1(x) 2025-08-26T20:45:21.5731406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5731777Z x = self.act(x) 2025-08-26T20:45:21.5731883Z 2025-08-26T20:45:21.5731984Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5732250Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5732655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5733022Z return mod(*inputs) 2025-08-26T20:45:21.5733383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5733774Z x = self.forward_features(x) 2025-08-26T20:45:21.5734167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5734564Z x = self.blocks(x) 2025-08-26T20:45:21.5734934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5735329Z x = self.conv_dw(x) 2025-08-26T20:45:21.5735670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5736088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5736512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5736936Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5737113Z 2025-08-26T20:45:21.5737210Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5737476Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5737948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5738314Z return mod(*inputs) 2025-08-26T20:45:21.5738668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5739050Z x = self.forward_features(x) 2025-08-26T20:45:21.5739451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5739854Z x = self.blocks(x) 2025-08-26T20:45:21.5740225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5740619Z x = self.conv_dw(x) 2025-08-26T20:45:21.5740965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5741385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5741854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5742274Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5742450Z 2025-08-26T20:45:21.5742549Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5742787Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5743058Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5743460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5743824Z return mod(*inputs) 2025-08-26T20:45:21.5744171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5744593Z x = self.forward_features(x) 2025-08-26T20:45:21.5744989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5745398Z x = self.blocks(x) 2025-08-26T20:45:21.5745778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5746173Z x = self.conv_dw(x) 2025-08-26T20:45:21.5746519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5746901Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5747028Z 2025-08-26T20:45:21.5747125Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5747391Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5747800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5748164Z return mod(*inputs) 2025-08-26T20:45:21.5748523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5748903Z x = self.forward_features(x) 2025-08-26T20:45:21.5749312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5749702Z x = self.blocks(x) 2025-08-26T20:45:21.5750061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5750441Z x = self.se(x) 2025-08-26T20:45:21.5750787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.5751176Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.5751326Z 2025-08-26T20:45:21.5751440Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5751830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5752175Z return mod(*inputs) 2025-08-26T20:45:21.5752523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5752898Z x = self.forward_features(x) 2025-08-26T20:45:21.5753317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5753766Z x = self.blocks(x) 2025-08-26T20:45:21.5754115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5754489Z x = self.se(x) 2025-08-26T20:45:21.5754836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5755222Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5755355Z 2025-08-26T20:45:21.5755468Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5755867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5756233Z return mod(*inputs) 2025-08-26T20:45:21.5756607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5757002Z x = self.forward_features(x) 2025-08-26T20:45:21.5757401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5757809Z x = self.blocks(x) 2025-08-26T20:45:21.5758182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5758566Z x = self.se(x) 2025-08-26T20:45:21.5758903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5759287Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5759417Z 2025-08-26T20:45:21.5759532Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5759944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5760331Z return mod(*inputs) 2025-08-26T20:45:21.5760679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5761093Z x = self.forward_features(x) 2025-08-26T20:45:21.5761503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5761911Z x = self.blocks(x) 2025-08-26T20:45:21.5762271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5762677Z x = self.se(x) 2025-08-26T20:45:21.5763036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5763432Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5763573Z 2025-08-26T20:45:21.5763696Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5764087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5764450Z return mod(*inputs) 2025-08-26T20:45:21.5764813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5765205Z x = self.forward_features(x) 2025-08-26T20:45:21.5765593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5766004Z x = self.blocks(x) 2025-08-26T20:45:21.5766372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5766762Z x = self.se(x) 2025-08-26T20:45:21.5767237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5767638Z return x * self.gate(x_se) 2025-08-26T20:45:21.5767780Z 2025-08-26T20:45:21.5767898Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5768304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5768700Z return mod(*inputs) 2025-08-26T20:45:21.5769052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5769453Z x = self.forward_features(x) 2025-08-26T20:45:21.5769860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5770271Z x = self.blocks(x) 2025-08-26T20:45:21.5770645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5771032Z x = self.se(x) 2025-08-26T20:45:21.5771392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5771794Z return x * self.gate(x_se) 2025-08-26T20:45:21.5771924Z 2025-08-26T20:45:21.5772050Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5772317Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5772720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5773076Z return mod(*inputs) 2025-08-26T20:45:21.5773432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5773815Z x = self.forward_features(x) 2025-08-26T20:45:21.5774203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5774610Z x = self.blocks(x) 2025-08-26T20:45:21.5774976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5775399Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5775745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5776162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5776610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5777041Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5777219Z 2025-08-26T20:45:21.5777319Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5777580Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5777979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5778340Z return mod(*inputs) 2025-08-26T20:45:21.5778696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5779071Z x = self.forward_features(x) 2025-08-26T20:45:21.5779467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5779863Z x = self.blocks(x) 2025-08-26T20:45:21.5780230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5780627Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5780971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5781385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5781809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5782230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5782406Z 2025-08-26T20:45:21.5782505Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5782742Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5783010Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5783413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5783817Z return mod(*inputs) 2025-08-26T20:45:21.5784167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5784555Z x = self.forward_features(x) 2025-08-26T20:45:21.5784951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5785367Z x = self.blocks(x) 2025-08-26T20:45:21.5785727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5786121Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5786477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5786857Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5786983Z 2025-08-26T20:45:21.5787134Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5787533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5787895Z return mod(*inputs) 2025-08-26T20:45:21.5788247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5788642Z x = self.forward_features(x) 2025-08-26T20:45:21.5789028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5789435Z x = self.blocks(x) 2025-08-26T20:45:21.5789802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.5790205Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.5790376Z 2025-08-26T20:45:21.5790502Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5790900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5791267Z return mod(*inputs) 2025-08-26T20:45:21.5791647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5792035Z x = self.forward_features(x) 2025-08-26T20:45:21.5792439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5792837Z x = self.blocks(x) 2025-08-26T20:45:21.5793205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5793603Z x = self.conv_pw(x) 2025-08-26T20:45:21.5793952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5794368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5794794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5795225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5795405Z 2025-08-26T20:45:21.5795529Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5795930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5796284Z return mod(*inputs) 2025-08-26T20:45:21.5796637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5797021Z x = self.forward_features(x) 2025-08-26T20:45:21.5797417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5797809Z x = self.blocks(x) 2025-08-26T20:45:21.5798182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5798576Z x = self.conv_pw(x) 2025-08-26T20:45:21.5798951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5799370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5799787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5800215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5800398Z 2025-08-26T20:45:21.5800491Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5800735Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5801604Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5802001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5802370Z return mod(*inputs) 2025-08-26T20:45:21.5802730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5803173Z x = self.forward_features(x) 2025-08-26T20:45:21.5803571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5803974Z x = self.blocks(x) 2025-08-26T20:45:21.5804345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5804739Z x = self.conv_pw(x) 2025-08-26T20:45:21.5805080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5805459Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5805591Z 2025-08-26T20:45:21.5805707Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5806111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5806506Z return mod(*inputs) 2025-08-26T20:45:21.5806849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5807400Z x = self.forward_features(x) 2025-08-26T20:45:21.5807832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5808248Z x = self.blocks(x) 2025-08-26T20:45:21.5808615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5809012Z x = self.bn1(x) 2025-08-26T20:45:21.5809352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5809733Z x = F.batch_norm( 2025-08-26T20:45:21.5809844Z 2025-08-26T20:45:21.5809966Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5810368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5810736Z return mod(*inputs) 2025-08-26T20:45:21.5811095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5811485Z x = self.forward_features(x) 2025-08-26T20:45:21.5811876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5812282Z x = self.blocks(x) 2025-08-26T20:45:21.5812652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5813046Z x = self.bn1(x) 2025-08-26T20:45:21.5813381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5813735Z x = self.act(x) 2025-08-26T20:45:21.5813849Z 2025-08-26T20:45:21.5813942Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5814213Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5814613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5815008Z return mod(*inputs) 2025-08-26T20:45:21.5815364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5815755Z x = self.forward_features(x) 2025-08-26T20:45:21.5816154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5816566Z x = self.blocks(x) 2025-08-26T20:45:21.5816931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5817329Z x = self.conv_dw(x) 2025-08-26T20:45:21.5817682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5818104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5818526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5819002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5819187Z 2025-08-26T20:45:21.5819279Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5819556Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5819955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5820029Z return mod(*inputs) 2025-08-26T20:45:21.5820264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5820354Z x = self.forward_features(x) 2025-08-26T20:45:21.5820615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5820720Z x = self.blocks(x) 2025-08-26T20:45:21.5820974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5821048Z x = self.conv_dw(x) 2025-08-26T20:45:21.5821310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5821429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5821676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5821790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5821794Z 2025-08-26T20:45:21.5821891Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5821979Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5822094Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5822321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5822395Z return mod(*inputs) 2025-08-26T20:45:21.5822636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5822721Z x = self.forward_features(x) 2025-08-26T20:45:21.5822981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5823063Z x = self.blocks(x) 2025-08-26T20:45:21.5823312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5823391Z x = self.conv_dw(x) 2025-08-26T20:45:21.5823617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5823695Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5823699Z 2025-08-26T20:45:21.5823796Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5823913Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5824148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5824222Z return mod(*inputs) 2025-08-26T20:45:21.5824484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5824572Z x = self.forward_features(x) 2025-08-26T20:45:21.5824831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5824911Z x = self.blocks(x) 2025-08-26T20:45:21.5825163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5825233Z x = self.se(x) 2025-08-26T20:45:21.5825490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.5825580Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.5825584Z 2025-08-26T20:45:21.5825708Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5825955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5826037Z return mod(*inputs) 2025-08-26T20:45:21.5826271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5826352Z x = self.forward_features(x) 2025-08-26T20:45:21.5826620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5826692Z x = self.blocks(x) 2025-08-26T20:45:21.5826949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5827019Z x = self.se(x) 2025-08-26T20:45:21.5827266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5827379Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5827385Z 2025-08-26T20:45:21.5827500Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5827768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5827844Z return mod(*inputs) 2025-08-26T20:45:21.5828076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5828163Z x = self.forward_features(x) 2025-08-26T20:45:21.5828422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5828500Z x = self.blocks(x) 2025-08-26T20:45:21.5828747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5828833Z x = self.se(x) 2025-08-26T20:45:21.5829088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5829169Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5829173Z 2025-08-26T20:45:21.5829297Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5829516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5829597Z return mod(*inputs) 2025-08-26T20:45:21.5829829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5829907Z x = self.forward_features(x) 2025-08-26T20:45:21.5830170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5830241Z x = self.blocks(x) 2025-08-26T20:45:21.5830744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5830823Z x = self.se(x) 2025-08-26T20:45:21.5831073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5831168Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5831243Z 2025-08-26T20:45:21.5831364Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5831593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5831667Z return mod(*inputs) 2025-08-26T20:45:21.5831904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5831992Z x = self.forward_features(x) 2025-08-26T20:45:21.5832252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5832333Z x = self.blocks(x) 2025-08-26T20:45:21.5832582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5832660Z x = self.se(x) 2025-08-26T20:45:21.5832947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5833034Z return x * self.gate(x_se) 2025-08-26T20:45:21.5833038Z 2025-08-26T20:45:21.5833163Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5833387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5833470Z return mod(*inputs) 2025-08-26T20:45:21.5833708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5833789Z x = self.forward_features(x) 2025-08-26T20:45:21.5834055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5834159Z x = self.blocks(x) 2025-08-26T20:45:21.5834415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5834484Z x = self.se(x) 2025-08-26T20:45:21.5834765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5834854Z return x * self.gate(x_se) 2025-08-26T20:45:21.5834858Z 2025-08-26T20:45:21.5834950Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5835074Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5835304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5835377Z return mod(*inputs) 2025-08-26T20:45:21.5835620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5835698Z x = self.forward_features(x) 2025-08-26T20:45:21.5835967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5836040Z x = self.blocks(x) 2025-08-26T20:45:21.5836300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5836376Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5836608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5836736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5836982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5837106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5837110Z 2025-08-26T20:45:21.5837198Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5837311Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5837541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5837614Z return mod(*inputs) 2025-08-26T20:45:21.5837878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5837960Z x = self.forward_features(x) 2025-08-26T20:45:21.5838219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5838297Z x = self.blocks(x) 2025-08-26T20:45:21.5838550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5838634Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5838866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5838991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5839243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5839358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5839383Z 2025-08-26T20:45:21.5839484Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5839574Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5839697Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5839917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5839991Z return mod(*inputs) 2025-08-26T20:45:21.5840231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5840311Z x = self.forward_features(x) 2025-08-26T20:45:21.5840582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5840653Z x = self.blocks(x) 2025-08-26T20:45:21.5840926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5841014Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5841260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5841348Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5841352Z 2025-08-26T20:45:21.5841468Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5841705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5841789Z return mod(*inputs) 2025-08-26T20:45:21.5842027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5842116Z x = self.forward_features(x) 2025-08-26T20:45:21.5842380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5842463Z x = self.blocks(x) 2025-08-26T20:45:21.5842720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.5842806Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.5842812Z 2025-08-26T20:45:21.5842939Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5843162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5843245Z return mod(*inputs) 2025-08-26T20:45:21.5843481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5843562Z x = self.forward_features(x) 2025-08-26T20:45:21.5843848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5843920Z x = self.blocks(x) 2025-08-26T20:45:21.5844180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5844255Z x = self.conv_pw(x) 2025-08-26T20:45:21.5844509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5844638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5844876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5845000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5845004Z 2025-08-26T20:45:21.5845119Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5845360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5845435Z return mod(*inputs) 2025-08-26T20:45:21.5845667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5845758Z x = self.forward_features(x) 2025-08-26T20:45:21.5846016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5846118Z x = self.blocks(x) 2025-08-26T20:45:21.5846375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5846449Z x = self.conv_pw(x) 2025-08-26T20:45:21.5846688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5846805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5847165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5847289Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5847294Z 2025-08-26T20:45:21.5847415Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5847513Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5847630Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5847863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5847959Z return mod(*inputs) 2025-08-26T20:45:21.5848196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5848287Z x = self.forward_features(x) 2025-08-26T20:45:21.5848549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5848628Z x = self.blocks(x) 2025-08-26T20:45:21.5848879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5848962Z x = self.conv_pw(x) 2025-08-26T20:45:21.5849191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5849275Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5849280Z 2025-08-26T20:45:21.5849403Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5849626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5849708Z return mod(*inputs) 2025-08-26T20:45:21.5849939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5850018Z x = self.forward_features(x) 2025-08-26T20:45:21.5850284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5850355Z x = self.blocks(x) 2025-08-26T20:45:21.5850612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5850683Z x = self.bn1(x) 2025-08-26T20:45:21.5850908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5850990Z x = F.batch_norm( 2025-08-26T20:45:21.5850994Z 2025-08-26T20:45:21.5851130Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5851359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5851432Z return mod(*inputs) 2025-08-26T20:45:21.5851664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5851749Z x = self.forward_features(x) 2025-08-26T20:45:21.5852011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5852088Z x = self.blocks(x) 2025-08-26T20:45:21.5852336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5852414Z x = self.bn1(x) 2025-08-26T20:45:21.5852635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5852726Z x = self.act(x) 2025-08-26T20:45:21.5852730Z 2025-08-26T20:45:21.5852831Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5852947Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5853174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5853249Z return mod(*inputs) 2025-08-26T20:45:21.5853485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5853571Z x = self.forward_features(x) 2025-08-26T20:45:21.5853829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5853908Z x = self.blocks(x) 2025-08-26T20:45:21.5854206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5854277Z x = self.conv_dw(x) 2025-08-26T20:45:21.5854518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5854655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5854907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5855026Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5855029Z 2025-08-26T20:45:21.5855126Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5855244Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5855462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5855543Z return mod(*inputs) 2025-08-26T20:45:21.5855783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5855870Z x = self.forward_features(x) 2025-08-26T20:45:21.5856138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5856212Z x = self.blocks(x) 2025-08-26T20:45:21.5856480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5856553Z x = self.conv_dw(x) 2025-08-26T20:45:21.5856790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5856905Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5857146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5857269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5857274Z 2025-08-26T20:45:21.5857364Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5857459Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5857575Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5857825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5857911Z return mod(*inputs) 2025-08-26T20:45:21.5858143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5858230Z x = self.forward_features(x) 2025-08-26T20:45:21.5858485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5858557Z x = self.blocks(x) 2025-08-26T20:45:21.5858815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5858889Z x = self.conv_dw(x) 2025-08-26T20:45:21.5859126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5859225Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5859229Z 2025-08-26T20:45:21.5859327Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5859445Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5859667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5859749Z return mod(*inputs) 2025-08-26T20:45:21.5859982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5860069Z x = self.forward_features(x) 2025-08-26T20:45:21.5860326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5860398Z x = self.blocks(x) 2025-08-26T20:45:21.5860654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5860744Z x = self.se(x) 2025-08-26T20:45:21.5861009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.5861144Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.5861149Z 2025-08-26T20:45:21.5861266Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5861498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5861570Z return mod(*inputs) 2025-08-26T20:45:21.5861810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5861888Z x = self.forward_features(x) 2025-08-26T20:45:21.5862145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5862224Z x = self.blocks(x) 2025-08-26T20:45:21.5862473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5862549Z x = self.se(x) 2025-08-26T20:45:21.5862800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5862889Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5862893Z 2025-08-26T20:45:21.5863007Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5863227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5863308Z return mod(*inputs) 2025-08-26T20:45:21.5863541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5863627Z x = self.forward_features(x) 2025-08-26T20:45:21.5863886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5863959Z x = self.blocks(x) 2025-08-26T20:45:21.5864219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5864310Z x = self.se(x) 2025-08-26T20:45:21.5864568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5864648Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5864652Z 2025-08-26T20:45:21.5864765Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5864993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5865065Z return mod(*inputs) 2025-08-26T20:45:21.5865303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5865380Z x = self.forward_features(x) 2025-08-26T20:45:21.5865639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5865716Z x = self.blocks(x) 2025-08-26T20:45:21.5865990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5866068Z x = self.se(x) 2025-08-26T20:45:21.5866318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5866411Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5866415Z 2025-08-26T20:45:21.5866528Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5866748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5866828Z return mod(*inputs) 2025-08-26T20:45:21.5867063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5867176Z x = self.forward_features(x) 2025-08-26T20:45:21.5867439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5867512Z x = self.blocks(x) 2025-08-26T20:45:21.5867789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5867859Z x = self.se(x) 2025-08-26T20:45:21.5868112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5868191Z return x * self.gate(x_se) 2025-08-26T20:45:21.5868195Z 2025-08-26T20:45:21.5868310Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5868538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5868613Z return mod(*inputs) 2025-08-26T20:45:21.5868855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5868936Z x = self.forward_features(x) 2025-08-26T20:45:21.5869207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5869283Z x = self.blocks(x) 2025-08-26T20:45:21.5869536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5869615Z x = self.se(x) 2025-08-26T20:45:21.5869863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5869952Z return x * self.gate(x_se) 2025-08-26T20:45:21.5869955Z 2025-08-26T20:45:21.5870046Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5870162Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5870390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5870466Z return mod(*inputs) 2025-08-26T20:45:21.5870705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5870787Z x = self.forward_features(x) 2025-08-26T20:45:21.5871068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5871150Z x = self.blocks(x) 2025-08-26T20:45:21.5871402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5871485Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5871717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5871838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5872090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5872212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5872216Z 2025-08-26T20:45:21.5872360Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5872479Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5872710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5872786Z return mod(*inputs) 2025-08-26T20:45:21.5873026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5873117Z x = self.forward_features(x) 2025-08-26T20:45:21.5873380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5873464Z x = self.blocks(x) 2025-08-26T20:45:21.5873719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5873820Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5874061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5874181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5874449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5874566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5874570Z 2025-08-26T20:45:21.5874660Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5874756Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5874871Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5875101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5875174Z return mod(*inputs) 2025-08-26T20:45:21.5875412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5875501Z x = self.forward_features(x) 2025-08-26T20:45:21.5875765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5875847Z x = self.blocks(x) 2025-08-26T20:45:21.5876114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5876198Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5876430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5876506Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5876510Z 2025-08-26T20:45:21.5876633Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5876871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5876954Z return mod(*inputs) 2025-08-26T20:45:21.5877190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5877269Z x = self.forward_features(x) 2025-08-26T20:45:21.5877583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5877658Z x = self.blocks(x) 2025-08-26T20:45:21.5877914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.5877998Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.5878002Z 2025-08-26T20:45:21.5878115Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5878357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5878431Z return mod(*inputs) 2025-08-26T20:45:21.5878670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5878751Z x = self.forward_features(x) 2025-08-26T20:45:21.5879027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5879143Z x = self.blocks(x) 2025-08-26T20:45:21.5879397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5879480Z x = self.conv_pw(x) 2025-08-26T20:45:21.5879484Z 2025-08-26T20:45:21.5879599Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5879840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5879915Z return mod(*inputs) 2025-08-26T20:45:21.5880150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5880238Z x = self.forward_features(x) 2025-08-26T20:45:21.5880507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5880613Z x = self.blocks(x) 2025-08-26T20:45:21.5880866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5880937Z x = self.bn1(x) 2025-08-26T20:45:21.5881191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5881267Z x = F.batch_norm( 2025-08-26T20:45:21.5881271Z 2025-08-26T20:45:21.5881395Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5881634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5881708Z return mod(*inputs) 2025-08-26T20:45:21.5881955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5882033Z x = self.forward_features(x) 2025-08-26T20:45:21.5882305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5882376Z x = self.blocks(x) 2025-08-26T20:45:21.5882641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5882713Z x = self.bn1(x) 2025-08-26T20:45:21.5882936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5883012Z x = self.act(x) 2025-08-26T20:45:21.5883016Z 2025-08-26T20:45:21.5883129Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5883372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5883444Z return mod(*inputs) 2025-08-26T20:45:21.5883680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5883769Z x = self.forward_features(x) 2025-08-26T20:45:21.5884038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5884120Z x = self.blocks(x) 2025-08-26T20:45:21.5884407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5884481Z x = self.conv_dw(x) 2025-08-26T20:45:21.5884718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5884838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5885090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5885209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5885442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5885524Z return conv2d_same( 2025-08-26T20:45:21.5885770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5885920Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5886146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5886319Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5886532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5886648Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5886653Z 2025-08-26T20:45:21.5886779Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5887093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5887210Z return mod(*inputs) 2025-08-26T20:45:21.5887447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5887531Z x = self.forward_features(x) 2025-08-26T20:45:21.5887844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5887919Z x = self.blocks(x) 2025-08-26T20:45:21.5888183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5888258Z x = self.conv_dw(x) 2025-08-26T20:45:21.5888489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5888617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5888858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5888983Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5889213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5889295Z return conv2d_same( 2025-08-26T20:45:21.5889536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5889687Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5889691Z 2025-08-26T20:45:21.5889815Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5890036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5890117Z return mod(*inputs) 2025-08-26T20:45:21.5890353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5890433Z x = self.forward_features(x) 2025-08-26T20:45:21.5890701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5890773Z x = self.blocks(x) 2025-08-26T20:45:21.5891059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5891134Z x = self.conv_dw(x) 2025-08-26T20:45:21.5891367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5891495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5891737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5891860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5892090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5892172Z return conv2d_same( 2025-08-26T20:45:21.5892413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5893511Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5893745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5893905Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5894129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5894244Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5894250Z 2025-08-26T20:45:21.5894367Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5894596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5894671Z return mod(*inputs) 2025-08-26T20:45:21.5894939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5895019Z x = self.forward_features(x) 2025-08-26T20:45:21.5895288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5895378Z x = self.blocks(x) 2025-08-26T20:45:21.5895632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5895712Z x = self.conv_dw(x) 2025-08-26T20:45:21.5895942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5896065Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5896305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5896419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5896656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5896730Z return conv2d_same( 2025-08-26T20:45:21.5896976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5897120Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5897124Z 2025-08-26T20:45:21.5897240Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5897466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5897538Z return mod(*inputs) 2025-08-26T20:45:21.5897781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5897860Z x = self.forward_features(x) 2025-08-26T20:45:21.5898126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5898199Z x = self.blocks(x) 2025-08-26T20:45:21.5898454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5898557Z x = self.conv_dw(x) 2025-08-26T20:45:21.5898789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5898915Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5899154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5899269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5899505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5899579Z return conv2d_same( 2025-08-26T20:45:21.5899824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.5899940Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.5900183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.5900350Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.5900561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.5900680Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.5900683Z 2025-08-26T20:45:21.5900799Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5901028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5901103Z return mod(*inputs) 2025-08-26T20:45:21.5901335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5901444Z x = self.forward_features(x) 2025-08-26T20:45:21.5901710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5901795Z x = self.blocks(x) 2025-08-26T20:45:21.5902072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5902147Z x = self.conv_dw(x) 2025-08-26T20:45:21.5902384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5902499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5902743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5902859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5903085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.5903170Z return conv2d_same( 2025-08-26T20:45:21.5903410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.5903567Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.5903571Z 2025-08-26T20:45:21.5903664Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5903763Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5903852Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5903970Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5904195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5904269Z return mod(*inputs) 2025-08-26T20:45:21.5904514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5904597Z x = self.forward_features(x) 2025-08-26T20:45:21.5904857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5904939Z x = self.blocks(x) 2025-08-26T20:45:21.5905226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5905309Z x = self.conv_dw(x) 2025-08-26T20:45:21.5905540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5905617Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5905623Z 2025-08-26T20:45:21.5905729Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5905844Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5906067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5906138Z return mod(*inputs) 2025-08-26T20:45:21.5906374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5906481Z x = self.forward_features(x) 2025-08-26T20:45:21.5906739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5906816Z x = self.blocks(x) 2025-08-26T20:45:21.5907064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5907133Z x = self.se(x) 2025-08-26T20:45:21.5907386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.5907470Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.5907474Z 2025-08-26T20:45:21.5907593Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5907809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5907910Z return mod(*inputs) 2025-08-26T20:45:21.5908138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5908218Z x = self.forward_features(x) 2025-08-26T20:45:21.5908495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5908568Z x = self.blocks(x) 2025-08-26T20:45:21.5908829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5908898Z x = self.se(x) 2025-08-26T20:45:21.5909146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5909236Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5909240Z 2025-08-26T20:45:21.5909354Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5909581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5909653Z return mod(*inputs) 2025-08-26T20:45:21.5909890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5909981Z x = self.forward_features(x) 2025-08-26T20:45:21.5910245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5910323Z x = self.blocks(x) 2025-08-26T20:45:21.5910572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5910641Z x = self.se(x) 2025-08-26T20:45:21.5910897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5910975Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5910979Z 2025-08-26T20:45:21.5911100Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5911319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5911401Z return mod(*inputs) 2025-08-26T20:45:21.5911660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5911741Z x = self.forward_features(x) 2025-08-26T20:45:21.5912006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5912078Z x = self.blocks(x) 2025-08-26T20:45:21.5912344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5912412Z x = self.se(x) 2025-08-26T20:45:21.5912658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5912747Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5912752Z 2025-08-26T20:45:21.5912865Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5913092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5913189Z return mod(*inputs) 2025-08-26T20:45:21.5913436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5913520Z x = self.forward_features(x) 2025-08-26T20:45:21.5913773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5913850Z x = self.blocks(x) 2025-08-26T20:45:21.5914095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5914162Z x = self.se(x) 2025-08-26T20:45:21.5914419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5914518Z return x * self.gate(x_se) 2025-08-26T20:45:21.5914522Z 2025-08-26T20:45:21.5914648Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5914874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5914972Z return mod(*inputs) 2025-08-26T20:45:21.5915210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5915288Z x = self.forward_features(x) 2025-08-26T20:45:21.5915552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5915624Z x = self.blocks(x) 2025-08-26T20:45:21.5915880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5915948Z x = self.se(x) 2025-08-26T20:45:21.5916195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5916284Z return x * self.gate(x_se) 2025-08-26T20:45:21.5916289Z 2025-08-26T20:45:21.5916400Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5916621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5916692Z return mod(*inputs) 2025-08-26T20:45:21.5916916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5917001Z x = self.forward_features(x) 2025-08-26T20:45:21.5917247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5917324Z x = self.blocks(x) 2025-08-26T20:45:21.5917565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5917646Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5917651Z 2025-08-26T20:45:21.5917760Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5917972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5918070Z return mod(*inputs) 2025-08-26T20:45:21.5918304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5918388Z x = self.forward_features(x) 2025-08-26T20:45:21.5918640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5918709Z x = self.blocks(x) 2025-08-26T20:45:21.5918961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:45:21.5919030Z x = self.bn3(x) 2025-08-26T20:45:21.5919260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5919335Z x = F.batch_norm( 2025-08-26T20:45:21.5919339Z 2025-08-26T20:45:21.5919450Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5919704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5919780Z return mod(*inputs) 2025-08-26T20:45:21.5920020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5920099Z x = self.forward_features(x) 2025-08-26T20:45:21.5920354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5920432Z x = self.blocks(x) 2025-08-26T20:45:21.5920679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5920760Z x = self.conv_pw(x) 2025-08-26T20:45:21.5920987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5921138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5921383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5921523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5921527Z 2025-08-26T20:45:21.5921653Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5921873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5921955Z return mod(*inputs) 2025-08-26T20:45:21.5922188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5922268Z x = self.forward_features(x) 2025-08-26T20:45:21.5922537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5922611Z x = self.blocks(x) 2025-08-26T20:45:21.5922868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5922943Z x = self.conv_pw(x) 2025-08-26T20:45:21.5923176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5923300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5923544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5923667Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5923671Z 2025-08-26T20:45:21.5923760Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5923854Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5923968Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5924188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5924269Z return mod(*inputs) 2025-08-26T20:45:21.5924502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5924606Z x = self.forward_features(x) 2025-08-26T20:45:21.5924869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5924940Z x = self.blocks(x) 2025-08-26T20:45:21.5925200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5925272Z x = self.conv_pw(x) 2025-08-26T20:45:21.5925508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5925585Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5925589Z 2025-08-26T20:45:21.5925702Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5925926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5926018Z return mod(*inputs) 2025-08-26T20:45:21.5926261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5926341Z x = self.forward_features(x) 2025-08-26T20:45:21.5926600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5926678Z x = self.blocks(x) 2025-08-26T20:45:21.5927011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5927099Z x = self.bn1(x) 2025-08-26T20:45:21.5927328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5927410Z x = F.batch_norm( 2025-08-26T20:45:21.5927414Z 2025-08-26T20:45:21.5927554Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5927771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5927855Z return mod(*inputs) 2025-08-26T20:45:21.5928114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5928204Z x = self.forward_features(x) 2025-08-26T20:45:21.5928466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5928539Z x = self.blocks(x) 2025-08-26T20:45:21.5928801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5928870Z x = self.bn1(x) 2025-08-26T20:45:21.5929103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5929173Z x = self.act(x) 2025-08-26T20:45:21.5929178Z 2025-08-26T20:45:21.5929267Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5929392Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5929618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5929700Z return mod(*inputs) 2025-08-26T20:45:21.5929936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5930016Z x = self.forward_features(x) 2025-08-26T20:45:21.5930285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5930357Z x = self.blocks(x) 2025-08-26T20:45:21.5930859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5930938Z x = self.conv_dw(x) 2025-08-26T20:45:21.5931168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5931298Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5931605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5931737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5931741Z 2025-08-26T20:45:21.5931831Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5931952Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5932170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5932242Z return mod(*inputs) 2025-08-26T20:45:21.5932484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5932565Z x = self.forward_features(x) 2025-08-26T20:45:21.5932832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5932906Z x = self.blocks(x) 2025-08-26T20:45:21.5933194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5933280Z x = self.conv_dw(x) 2025-08-26T20:45:21.5933516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5933647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5933885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5933999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5934013Z 2025-08-26T20:45:21.5934103Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5934217Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5934480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5934554Z return mod(*inputs) 2025-08-26T20:45:21.5934801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5934908Z x = self.forward_features(x) 2025-08-26T20:45:21.5935168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5935251Z x = self.blocks(x) 2025-08-26T20:45:21.5935502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5935584Z x = self.conv_dw(x) 2025-08-26T20:45:21.5935815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5935929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5936176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5936294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5936299Z 2025-08-26T20:45:21.5936395Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5936514Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5936735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5936818Z return mod(*inputs) 2025-08-26T20:45:21.5937051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5937137Z x = self.forward_features(x) 2025-08-26T20:45:21.5937395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5937474Z x = self.blocks(x) 2025-08-26T20:45:21.5937722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5937796Z x = self.conv_dw(x) 2025-08-26T20:45:21.5938032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5938168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5938414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5938529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5938532Z 2025-08-26T20:45:21.5938623Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5938719Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5938805Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5938898Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5939012Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5939232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5939315Z return mod(*inputs) 2025-08-26T20:45:21.5939637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5939725Z x = self.forward_features(x) 2025-08-26T20:45:21.5939985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5940057Z x = self.blocks(x) 2025-08-26T20:45:21.5940318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5940391Z x = self.conv_dw(x) 2025-08-26T20:45:21.5940626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5940702Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5940706Z 2025-08-26T20:45:21.5940791Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5940938Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5941173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5941255Z return mod(*inputs) 2025-08-26T20:45:21.5941505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5941594Z x = self.forward_features(x) 2025-08-26T20:45:21.5941861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5941935Z x = self.blocks(x) 2025-08-26T20:45:21.5942192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5942262Z x = self.se(x) 2025-08-26T20:45:21.5942519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.5942608Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.5942611Z 2025-08-26T20:45:21.5942728Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5942973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5943048Z return mod(*inputs) 2025-08-26T20:45:21.5943291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5943370Z x = self.forward_features(x) 2025-08-26T20:45:21.5943635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5943714Z x = self.blocks(x) 2025-08-26T20:45:21.5943964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5944041Z x = self.se(x) 2025-08-26T20:45:21.5944291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5944375Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5944387Z 2025-08-26T20:45:21.5944504Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5944762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5944846Z return mod(*inputs) 2025-08-26T20:45:21.5945081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5945167Z x = self.forward_features(x) 2025-08-26T20:45:21.5945433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5945505Z x = self.blocks(x) 2025-08-26T20:45:21.5945768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5945837Z x = self.se(x) 2025-08-26T20:45:21.5946096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5946196Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5946200Z 2025-08-26T20:45:21.5946316Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5946551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5946626Z return mod(*inputs) 2025-08-26T20:45:21.5946872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5946951Z x = self.forward_features(x) 2025-08-26T20:45:21.5947224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5947305Z x = self.blocks(x) 2025-08-26T20:45:21.5947570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5947668Z x = self.se(x) 2025-08-26T20:45:21.5947919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5948005Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5948018Z 2025-08-26T20:45:21.5948150Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5948370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5948453Z return mod(*inputs) 2025-08-26T20:45:21.5948688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5948775Z x = self.forward_features(x) 2025-08-26T20:45:21.5949035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5949107Z x = self.blocks(x) 2025-08-26T20:45:21.5949365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5949434Z x = self.se(x) 2025-08-26T20:45:21.5949689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5949773Z return x * self.gate(x_se) 2025-08-26T20:45:21.5949778Z 2025-08-26T20:45:21.5949893Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5950123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5950196Z return mod(*inputs) 2025-08-26T20:45:21.5950438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5950515Z x = self.forward_features(x) 2025-08-26T20:45:21.5950772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5950852Z x = self.blocks(x) 2025-08-26T20:45:21.5951102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5951179Z x = self.se(x) 2025-08-26T20:45:21.5951452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5951543Z return x * self.gate(x_se) 2025-08-26T20:45:21.5951547Z 2025-08-26T20:45:21.5951635Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5951750Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5951979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5952052Z return mod(*inputs) 2025-08-26T20:45:21.5952297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5952375Z x = self.forward_features(x) 2025-08-26T20:45:21.5952638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5952719Z x = self.blocks(x) 2025-08-26T20:45:21.5952990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5953078Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5953310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5953428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5953673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5953792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5953795Z 2025-08-26T20:45:21.5953892Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5954006Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5954254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5954336Z return mod(*inputs) 2025-08-26T20:45:21.5954570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5954678Z x = self.forward_features(x) 2025-08-26T20:45:21.5954937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5955019Z x = self.blocks(x) 2025-08-26T20:45:21.5955268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5955344Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5955582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5955699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5955946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5956061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5956066Z 2025-08-26T20:45:21.5956153Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5956250Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5956365Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5956591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5956663Z return mod(*inputs) 2025-08-26T20:45:21.5956895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5956982Z x = self.forward_features(x) 2025-08-26T20:45:21.5957240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5957318Z x = self.blocks(x) 2025-08-26T20:45:21.5957570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5957646Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5957908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5957989Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5957993Z 2025-08-26T20:45:21.5958119Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5958339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5958421Z return mod(*inputs) 2025-08-26T20:45:21.5958654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5958733Z x = self.forward_features(x) 2025-08-26T20:45:21.5959004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5959078Z x = self.blocks(x) 2025-08-26T20:45:21.5959338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.5959455Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.5959460Z 2025-08-26T20:45:21.5959579Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5959806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5959879Z return mod(*inputs) 2025-08-26T20:45:21.5960119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5960197Z x = self.forward_features(x) 2025-08-26T20:45:21.5960464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5960543Z x = self.blocks(x) 2025-08-26T20:45:21.5960793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5960895Z x = self.conv_pw(x) 2025-08-26T20:45:21.5961124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5961260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5961509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5961625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5961629Z 2025-08-26T20:45:21.5961750Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5961966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5962045Z return mod(*inputs) 2025-08-26T20:45:21.5962278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5962359Z x = self.forward_features(x) 2025-08-26T20:45:21.5962636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5962709Z x = self.blocks(x) 2025-08-26T20:45:21.5962972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5963046Z x = self.conv_pw(x) 2025-08-26T20:45:21.5963279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5963403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5963645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5963767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5963771Z 2025-08-26T20:45:21.5963859Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5963957Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5964072Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5964311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5964396Z return mod(*inputs) 2025-08-26T20:45:21.5964631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5964718Z x = self.forward_features(x) 2025-08-26T20:45:21.5964983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5965056Z x = self.blocks(x) 2025-08-26T20:45:21.5965314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.5965386Z x = self.conv_pw(x) 2025-08-26T20:45:21.5965621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5965701Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5965705Z 2025-08-26T20:45:21.5965838Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5966080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5966154Z return mod(*inputs) 2025-08-26T20:45:21.5966396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5966475Z x = self.forward_features(x) 2025-08-26T20:45:21.5966740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5966819Z x = self.blocks(x) 2025-08-26T20:45:21.5967338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5967425Z x = self.bn1(x) 2025-08-26T20:45:21.5967686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.5967760Z x = F.batch_norm( 2025-08-26T20:45:21.5967773Z 2025-08-26T20:45:21.5967891Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5968146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5968232Z return mod(*inputs) 2025-08-26T20:45:21.5968466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5968556Z x = self.forward_features(x) 2025-08-26T20:45:21.5968818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5968891Z x = self.blocks(x) 2025-08-26T20:45:21.5969150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.5969223Z x = self.bn1(x) 2025-08-26T20:45:21.5969455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.5969528Z x = self.act(x) 2025-08-26T20:45:21.5969531Z 2025-08-26T20:45:21.5969624Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5969749Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5969967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5970048Z return mod(*inputs) 2025-08-26T20:45:21.5970282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5970362Z x = self.forward_features(x) 2025-08-26T20:45:21.5970631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5970703Z x = self.blocks(x) 2025-08-26T20:45:21.5970961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5971036Z x = self.conv_dw(x) 2025-08-26T20:45:21.5971283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5971418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5971666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5971793Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5971797Z 2025-08-26T20:45:21.5971889Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5972011Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5972234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5972307Z return mod(*inputs) 2025-08-26T20:45:21.5972559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5972638Z x = self.forward_features(x) 2025-08-26T20:45:21.5972926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5973000Z x = self.blocks(x) 2025-08-26T20:45:21.5973251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5973331Z x = self.conv_dw(x) 2025-08-26T20:45:21.5973559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5973685Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5973923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5974038Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5974071Z 2025-08-26T20:45:21.5974162Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5974278Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5974512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5974604Z return mod(*inputs) 2025-08-26T20:45:21.5974844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5974925Z x = self.forward_features(x) 2025-08-26T20:45:21.5975181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5975262Z x = self.blocks(x) 2025-08-26T20:45:21.5975509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5975589Z x = self.conv_dw(x) 2025-08-26T20:45:21.5975814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5975929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5976181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5976297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5976301Z 2025-08-26T20:45:21.5976397Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5976512Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5976732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5976814Z return mod(*inputs) 2025-08-26T20:45:21.5977047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5977132Z x = self.forward_features(x) 2025-08-26T20:45:21.5977388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5977461Z x = self.blocks(x) 2025-08-26T20:45:21.5977738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5977815Z x = self.conv_dw(x) 2025-08-26T20:45:21.5978055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5978170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5978418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5978535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5978539Z 2025-08-26T20:45:21.5978629Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5978727Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5978814Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5978909Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5979025Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5979270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5979356Z return mod(*inputs) 2025-08-26T20:45:21.5979594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5979681Z x = self.forward_features(x) 2025-08-26T20:45:21.5979941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5980012Z x = self.blocks(x) 2025-08-26T20:45:21.5980276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.5980349Z x = self.conv_dw(x) 2025-08-26T20:45:21.5980587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5980684Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5980688Z 2025-08-26T20:45:21.5980778Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5980902Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5981144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5981229Z return mod(*inputs) 2025-08-26T20:45:21.5981466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5981545Z x = self.forward_features(x) 2025-08-26T20:45:21.5981812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5981884Z x = self.blocks(x) 2025-08-26T20:45:21.5982141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5982213Z x = self.se(x) 2025-08-26T20:45:21.5982469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.5982557Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.5982563Z 2025-08-26T20:45:21.5982680Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5982909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5982982Z return mod(*inputs) 2025-08-26T20:45:21.5983224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5983302Z x = self.forward_features(x) 2025-08-26T20:45:21.5983561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5983640Z x = self.blocks(x) 2025-08-26T20:45:21.5983889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5983966Z x = self.se(x) 2025-08-26T20:45:21.5984216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.5984321Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.5984325Z 2025-08-26T20:45:21.5984450Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5984672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5984751Z return mod(*inputs) 2025-08-26T20:45:21.5984989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5985074Z x = self.forward_features(x) 2025-08-26T20:45:21.5985334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5985407Z x = self.blocks(x) 2025-08-26T20:45:21.5985667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5985759Z x = self.se(x) 2025-08-26T20:45:21.5986019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.5986099Z x_se = self.act1(x_se) 2025-08-26T20:45:21.5986103Z 2025-08-26T20:45:21.5986218Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5986448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5986521Z return mod(*inputs) 2025-08-26T20:45:21.5986765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5986844Z x = self.forward_features(x) 2025-08-26T20:45:21.5987103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5987204Z x = self.blocks(x) 2025-08-26T20:45:21.5987452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5987530Z x = self.se(x) 2025-08-26T20:45:21.5987793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.5987878Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.5987889Z 2025-08-26T20:45:21.5988008Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5988226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5988310Z return mod(*inputs) 2025-08-26T20:45:21.5988546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5988633Z x = self.forward_features(x) 2025-08-26T20:45:21.5988895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5988969Z x = self.blocks(x) 2025-08-26T20:45:21.5989230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5989300Z x = self.se(x) 2025-08-26T20:45:21.5989555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5989636Z return x * self.gate(x_se) 2025-08-26T20:45:21.5989640Z 2025-08-26T20:45:21.5989757Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5989990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5990061Z return mod(*inputs) 2025-08-26T20:45:21.5990303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5990383Z x = self.forward_features(x) 2025-08-26T20:45:21.5990644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5990727Z x = self.blocks(x) 2025-08-26T20:45:21.5990996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.5991072Z x = self.se(x) 2025-08-26T20:45:21.5991322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.5991402Z return x * self.gate(x_se) 2025-08-26T20:45:21.5991413Z 2025-08-26T20:45:21.5991502Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5991617Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5991842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5991916Z return mod(*inputs) 2025-08-26T20:45:21.5992159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5992243Z x = self.forward_features(x) 2025-08-26T20:45:21.5992521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5992603Z x = self.blocks(x) 2025-08-26T20:45:21.5992850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5992937Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5993163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5993282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5993529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5993647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5993668Z 2025-08-26T20:45:21.5993767Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5993882Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5994109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5994212Z return mod(*inputs) 2025-08-26T20:45:21.5994449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5994536Z x = self.forward_features(x) 2025-08-26T20:45:21.5994796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5994870Z x = self.blocks(x) 2025-08-26T20:45:21.5995128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5995205Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5995442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.5995559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5995811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.5995927Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.5995931Z 2025-08-26T20:45:21.5996019Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5996115Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.5996229Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5996454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5996528Z return mod(*inputs) 2025-08-26T20:45:21.5996762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5996850Z x = self.forward_features(x) 2025-08-26T20:45:21.5997111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5997190Z x = self.blocks(x) 2025-08-26T20:45:21.5997462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.5997540Z x = self.conv_pwl(x) 2025-08-26T20:45:21.5997778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.5997856Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.5997860Z 2025-08-26T20:45:21.5997981Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5998198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5998278Z return mod(*inputs) 2025-08-26T20:45:21.5998512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.5998592Z x = self.forward_features(x) 2025-08-26T20:45:21.5998859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.5998951Z x = self.blocks(x) 2025-08-26T20:45:21.5999211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.5999295Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.5999299Z 2025-08-26T20:45:21.5999415Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.5999654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.5999727Z return mod(*inputs) 2025-08-26T20:45:21.5999969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6000046Z x = self.forward_features(x) 2025-08-26T20:45:21.6000337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6000418Z x = self.blocks(x) 2025-08-26T20:45:21.6000671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6000771Z x = self.conv_pw(x) 2025-08-26T20:45:21.6001003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6001120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6001376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6001494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6001498Z 2025-08-26T20:45:21.6001620Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6001837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6001921Z return mod(*inputs) 2025-08-26T20:45:21.6002155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6002236Z x = self.forward_features(x) 2025-08-26T20:45:21.6002506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6002577Z x = self.blocks(x) 2025-08-26T20:45:21.6002836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6002910Z x = self.conv_pw(x) 2025-08-26T20:45:21.6003140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6003268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6003509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6003633Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6003638Z 2025-08-26T20:45:21.6003727Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6003843Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6003968Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6004188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6004268Z return mod(*inputs) 2025-08-26T20:45:21.6004502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6004591Z x = self.forward_features(x) 2025-08-26T20:45:21.6004858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6004931Z x = self.blocks(x) 2025-08-26T20:45:21.6005195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6005271Z x = self.conv_pw(x) 2025-08-26T20:45:21.6005534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6005617Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6005621Z 2025-08-26T20:45:21.6005736Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6005976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6006049Z return mod(*inputs) 2025-08-26T20:45:21.6006285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6006364Z x = self.forward_features(x) 2025-08-26T20:45:21.6006629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6006708Z x = self.blocks(x) 2025-08-26T20:45:21.6007065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6007153Z x = self.bn1(x) 2025-08-26T20:45:21.6007411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6007486Z x = F.batch_norm( 2025-08-26T20:45:21.6007499Z 2025-08-26T20:45:21.6007614Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6007852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6007935Z return mod(*inputs) 2025-08-26T20:45:21.6008169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6008258Z x = self.forward_features(x) 2025-08-26T20:45:21.6008526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6008599Z x = self.blocks(x) 2025-08-26T20:45:21.6008859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6008931Z x = self.bn1(x) 2025-08-26T20:45:21.6009173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6009246Z x = self.act(x) 2025-08-26T20:45:21.6009250Z 2025-08-26T20:45:21.6009341Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6009468Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6009688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6009771Z return mod(*inputs) 2025-08-26T20:45:21.6010005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6010085Z x = self.forward_features(x) 2025-08-26T20:45:21.6010355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6010428Z x = self.blocks(x) 2025-08-26T20:45:21.6010716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6010792Z x = self.conv_dw(x) 2025-08-26T20:45:21.6011022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6011146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6011386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6011510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6011513Z 2025-08-26T20:45:21.6011602Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6011723Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6011945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6012017Z return mod(*inputs) 2025-08-26T20:45:21.6012282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6012361Z x = self.forward_features(x) 2025-08-26T20:45:21.6012625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6012696Z x = self.blocks(x) 2025-08-26T20:45:21.6012945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6013027Z x = self.conv_dw(x) 2025-08-26T20:45:21.6013255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6013377Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6013642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6013757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6013760Z 2025-08-26T20:45:21.6013859Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6013989Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6014216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6014289Z return mod(*inputs) 2025-08-26T20:45:21.6014522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6014607Z x = self.forward_features(x) 2025-08-26T20:45:21.6014864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6014945Z x = self.blocks(x) 2025-08-26T20:45:21.6015196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6015278Z x = self.conv_dw(x) 2025-08-26T20:45:21.6015508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6015625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6015869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6015983Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6015987Z 2025-08-26T20:45:21.6016082Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6016198Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6016416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6016498Z return mod(*inputs) 2025-08-26T20:45:21.6016732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6016819Z x = self.forward_features(x) 2025-08-26T20:45:21.6017100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6017177Z x = self.blocks(x) 2025-08-26T20:45:21.6017442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6017515Z x = self.conv_dw(x) 2025-08-26T20:45:21.6017749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6017864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6018110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6018225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6018230Z 2025-08-26T20:45:21.6018319Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6018415Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6018520Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6018616Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6018735Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6018955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6019035Z return mod(*inputs) 2025-08-26T20:45:21.6019268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6019354Z x = self.forward_features(x) 2025-08-26T20:45:21.6019611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6019684Z x = self.blocks(x) 2025-08-26T20:45:21.6019944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6020065Z x = self.conv_dw(x) 2025-08-26T20:45:21.6020308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6020406Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6020410Z 2025-08-26T20:45:21.6020498Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6020624Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6020859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6020939Z return mod(*inputs) 2025-08-26T20:45:21.6021177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6021257Z x = self.forward_features(x) 2025-08-26T20:45:21.6021538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6021612Z x = self.blocks(x) 2025-08-26T20:45:21.6021876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6021948Z x = self.se(x) 2025-08-26T20:45:21.6022209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6022296Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6022300Z 2025-08-26T20:45:21.6022417Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6022647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6022723Z return mod(*inputs) 2025-08-26T20:45:21.6022971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6023050Z x = self.forward_features(x) 2025-08-26T20:45:21.6023315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6023396Z x = self.blocks(x) 2025-08-26T20:45:21.6023670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6023750Z x = self.se(x) 2025-08-26T20:45:21.6024000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6024083Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6024087Z 2025-08-26T20:45:21.6024212Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6024448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6024527Z return mod(*inputs) 2025-08-26T20:45:21.6024760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6024840Z x = self.forward_features(x) 2025-08-26T20:45:21.6025112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6025215Z x = self.blocks(x) 2025-08-26T20:45:21.6025478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6025548Z x = self.se(x) 2025-08-26T20:45:21.6025809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6025889Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6025892Z 2025-08-26T20:45:21.6026008Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6026237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6026311Z return mod(*inputs) 2025-08-26T20:45:21.6026557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6026657Z x = self.forward_features(x) 2025-08-26T20:45:21.6026925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6027007Z x = self.blocks(x) 2025-08-26T20:45:21.6027286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6027363Z x = self.se(x) 2025-08-26T20:45:21.6027615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6027696Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6027700Z 2025-08-26T20:45:21.6027823Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6028059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6028138Z return mod(*inputs) 2025-08-26T20:45:21.6028378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6028466Z x = self.forward_features(x) 2025-08-26T20:45:21.6028734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6028808Z x = self.blocks(x) 2025-08-26T20:45:21.6029067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6029136Z x = self.se(x) 2025-08-26T20:45:21.6029391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6029470Z return x * self.gate(x_se) 2025-08-26T20:45:21.6029473Z 2025-08-26T20:45:21.6029588Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6029819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6029894Z return mod(*inputs) 2025-08-26T20:45:21.6030136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6030217Z x = self.forward_features(x) 2025-08-26T20:45:21.6030848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6030940Z x = self.blocks(x) 2025-08-26T20:45:21.6031195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6031274Z x = self.se(x) 2025-08-26T20:45:21.6031524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6031609Z return x * self.gate(x_se) 2025-08-26T20:45:21.6031622Z 2025-08-26T20:45:21.6031711Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6031826Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6032057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6032131Z return mod(*inputs) 2025-08-26T20:45:21.6032414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6032495Z x = self.forward_features(x) 2025-08-26T20:45:21.6032752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6032833Z x = self.blocks(x) 2025-08-26T20:45:21.6033080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6033165Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6033393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6033514Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6033796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6033918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6033922Z 2025-08-26T20:45:21.6034018Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6034170Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6034392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6034477Z return mod(*inputs) 2025-08-26T20:45:21.6034717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6034809Z x = self.forward_features(x) 2025-08-26T20:45:21.6035073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6035147Z x = self.blocks(x) 2025-08-26T20:45:21.6035410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6035488Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6035736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6035857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6036106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6036224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6036228Z 2025-08-26T20:45:21.6036320Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6036419Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6036537Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6036768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6036847Z return mod(*inputs) 2025-08-26T20:45:21.6037086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6037182Z x = self.forward_features(x) 2025-08-26T20:45:21.6037474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6037557Z x = self.blocks(x) 2025-08-26T20:45:21.6037807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6037882Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6038119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6038198Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6038201Z 2025-08-26T20:45:21.6038326Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6038545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6038621Z return mod(*inputs) 2025-08-26T20:45:21.6038860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6038963Z x = self.forward_features(x) 2025-08-26T20:45:21.6039228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6039301Z x = self.blocks(x) 2025-08-26T20:45:21.6039558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6039642Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6039646Z 2025-08-26T20:45:21.6039761Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6039986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6040059Z return mod(*inputs) 2025-08-26T20:45:21.6040326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6040404Z x = self.forward_features(x) 2025-08-26T20:45:21.6040673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6040768Z x = self.blocks(x) 2025-08-26T20:45:21.6041020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6041099Z x = self.conv_pw(x) 2025-08-26T20:45:21.6041103Z 2025-08-26T20:45:21.6041216Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6041449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6041527Z return mod(*inputs) 2025-08-26T20:45:21.6041764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6041853Z x = self.forward_features(x) 2025-08-26T20:45:21.6042121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6042200Z x = self.blocks(x) 2025-08-26T20:45:21.6042455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6042527Z x = self.conv_dw(x) 2025-08-26T20:45:21.6042531Z 2025-08-26T20:45:21.6042628Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6042741Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6042978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6043051Z return mod(*inputs) 2025-08-26T20:45:21.6043287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6043372Z x = self.forward_features(x) 2025-08-26T20:45:21.6043641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6043722Z x = self.blocks(x) 2025-08-26T20:45:21.6043992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6044065Z x = self.se(x) 2025-08-26T20:45:21.6044324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6044411Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6044415Z 2025-08-26T20:45:21.6044538Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6044777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6044851Z return mod(*inputs) 2025-08-26T20:45:21.6045092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6045174Z x = self.forward_features(x) 2025-08-26T20:45:21.6045444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6045537Z x = self.blocks(x) 2025-08-26T20:45:21.6045807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6045876Z x = self.se(x) 2025-08-26T20:45:21.6046130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6046221Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6046225Z 2025-08-26T20:45:21.6046340Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6046585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6046658Z return mod(*inputs) 2025-08-26T20:45:21.6046959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6047085Z x = self.forward_features(x) 2025-08-26T20:45:21.6047349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6047452Z x = self.blocks(x) 2025-08-26T20:45:21.6047706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6047778Z x = self.se(x) 2025-08-26T20:45:21.6048039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6048118Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6048122Z 2025-08-26T20:45:21.6048246Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6048482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6048557Z return mod(*inputs) 2025-08-26T20:45:21.6048807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6048889Z x = self.forward_features(x) 2025-08-26T20:45:21.6049165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6049238Z x = self.blocks(x) 2025-08-26T20:45:21.6049500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6049571Z x = self.se(x) 2025-08-26T20:45:21.6049819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6049910Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6049913Z 2025-08-26T20:45:21.6050026Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6050261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6050336Z return mod(*inputs) 2025-08-26T20:45:21.6050571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6050659Z x = self.forward_features(x) 2025-08-26T20:45:21.6050941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6051020Z x = self.blocks(x) 2025-08-26T20:45:21.6051270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6051338Z x = self.se(x) 2025-08-26T20:45:21.6051596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6051674Z return x * self.gate(x_se) 2025-08-26T20:45:21.6051678Z 2025-08-26T20:45:21.6051799Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6052021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6052101Z return mod(*inputs) 2025-08-26T20:45:21.6052357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6052439Z x = self.forward_features(x) 2025-08-26T20:45:21.6052703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6052774Z x = self.blocks(x) 2025-08-26T20:45:21.6053031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6053099Z x = self.se(x) 2025-08-26T20:45:21.6053345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6053431Z return x * self.gate(x_se) 2025-08-26T20:45:21.6053435Z 2025-08-26T20:45:21.6053547Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6053802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6053877Z return mod(*inputs) 2025-08-26T20:45:21.6054133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6054224Z x = self.forward_features(x) 2025-08-26T20:45:21.6054485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6054564Z x = self.blocks(x) 2025-08-26T20:45:21.6054817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6054892Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6054903Z 2025-08-26T20:45:21.6055016Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6055236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6055316Z return mod(*inputs) 2025-08-26T20:45:21.6055551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6055637Z x = self.forward_features(x) 2025-08-26T20:45:21.6055899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6055971Z x = self.blocks(x) 2025-08-26T20:45:21.6056230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:45:21.6056298Z x = self.bn3(x) 2025-08-26T20:45:21.6056529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6056601Z x = F.batch_norm( 2025-08-26T20:45:21.6056605Z 2025-08-26T20:45:21.6056717Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6056945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6057019Z return mod(*inputs) 2025-08-26T20:45:21.6057265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6057362Z x = self.forward_features(x) 2025-08-26T20:45:21.6057622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6057703Z x = self.blocks(x) 2025-08-26T20:45:21.6057952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6058033Z x = self.conv_pw(x) 2025-08-26T20:45:21.6058261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6058380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6058627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6058748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6058776Z 2025-08-26T20:45:21.6058901Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6059121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6059203Z return mod(*inputs) 2025-08-26T20:45:21.6059440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6059519Z x = self.forward_features(x) 2025-08-26T20:45:21.6059789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6059859Z x = self.blocks(x) 2025-08-26T20:45:21.6060118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6060214Z x = self.conv_pw(x) 2025-08-26T20:45:21.6060446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6060577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6060837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6060964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6060967Z 2025-08-26T20:45:21.6061061Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6061154Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6061283Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6061511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6061596Z return mod(*inputs) 2025-08-26T20:45:21.6061839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6061933Z x = self.forward_features(x) 2025-08-26T20:45:21.6062201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6062280Z x = self.blocks(x) 2025-08-26T20:45:21.6062551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6062629Z x = self.conv_pw(x) 2025-08-26T20:45:21.6062874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6062954Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6062959Z 2025-08-26T20:45:21.6063077Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6063310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6063388Z return mod(*inputs) 2025-08-26T20:45:21.6063639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6063723Z x = self.forward_features(x) 2025-08-26T20:45:21.6064011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6064108Z x = self.blocks(x) 2025-08-26T20:45:21.6064359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6064437Z x = self.bn1(x) 2025-08-26T20:45:21.6064661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6064733Z x = F.batch_norm( 2025-08-26T20:45:21.6064745Z 2025-08-26T20:45:21.6064860Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6065078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6065161Z return mod(*inputs) 2025-08-26T20:45:21.6065397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6065510Z x = self.forward_features(x) 2025-08-26T20:45:21.6065775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6065848Z x = self.blocks(x) 2025-08-26T20:45:21.6066109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6066179Z x = self.bn1(x) 2025-08-26T20:45:21.6066406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6066475Z x = self.act(x) 2025-08-26T20:45:21.6066479Z 2025-08-26T20:45:21.6066569Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6066691Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6066928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6067009Z return mod(*inputs) 2025-08-26T20:45:21.6067246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6067342Z x = self.forward_features(x) 2025-08-26T20:45:21.6067612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6067685Z x = self.blocks(x) 2025-08-26T20:45:21.6067947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6068020Z x = self.conv_dw(x) 2025-08-26T20:45:21.6068252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6068378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6068621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6068745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6068751Z 2025-08-26T20:45:21.6068842Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6068965Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6069184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6069256Z return mod(*inputs) 2025-08-26T20:45:21.6069497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6069576Z x = self.forward_features(x) 2025-08-26T20:45:21.6069842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6069913Z x = self.blocks(x) 2025-08-26T20:45:21.6070166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6070247Z x = self.conv_dw(x) 2025-08-26T20:45:21.6070481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6070623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6070864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6070978Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6070989Z 2025-08-26T20:45:21.6071077Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6071191Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6071416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6071488Z return mod(*inputs) 2025-08-26T20:45:21.6071727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6071806Z x = self.forward_features(x) 2025-08-26T20:45:21.6072080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6072161Z x = self.blocks(x) 2025-08-26T20:45:21.6072410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6072490Z x = self.conv_dw(x) 2025-08-26T20:45:21.6072715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6072830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6073074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6073187Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6073209Z 2025-08-26T20:45:21.6073308Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6073425Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6073649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6073749Z return mod(*inputs) 2025-08-26T20:45:21.6073981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6074070Z x = self.forward_features(x) 2025-08-26T20:45:21.6074330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6074401Z x = self.blocks(x) 2025-08-26T20:45:21.6074659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6074731Z x = self.conv_dw(x) 2025-08-26T20:45:21.6074965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6075080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6075328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6075443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6075446Z 2025-08-26T20:45:21.6075536Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6075634Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6075719Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6075811Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6075926Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6076147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6076227Z return mod(*inputs) 2025-08-26T20:45:21.6076458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6076546Z x = self.forward_features(x) 2025-08-26T20:45:21.6076806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6076899Z x = self.blocks(x) 2025-08-26T20:45:21.6077166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6077240Z x = self.conv_dw(x) 2025-08-26T20:45:21.6077482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6077558Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6077562Z 2025-08-26T20:45:21.6077650Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6077774Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6077992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6078076Z return mod(*inputs) 2025-08-26T20:45:21.6078311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6078419Z x = self.forward_features(x) 2025-08-26T20:45:21.6078690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6078763Z x = self.blocks(x) 2025-08-26T20:45:21.6079027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6079096Z x = self.se(x) 2025-08-26T20:45:21.6079356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6079442Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6079446Z 2025-08-26T20:45:21.6079563Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6079796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6079889Z return mod(*inputs) 2025-08-26T20:45:21.6080136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6080237Z x = self.forward_features(x) 2025-08-26T20:45:21.6080499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6080579Z x = self.blocks(x) 2025-08-26T20:45:21.6080831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6080907Z x = self.se(x) 2025-08-26T20:45:21.6081156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6081238Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6081242Z 2025-08-26T20:45:21.6081365Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6081589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6081672Z return mod(*inputs) 2025-08-26T20:45:21.6081916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6081995Z x = self.forward_features(x) 2025-08-26T20:45:21.6082263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6082334Z x = self.blocks(x) 2025-08-26T20:45:21.6082594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6082663Z x = self.se(x) 2025-08-26T20:45:21.6082920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6082996Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6083001Z 2025-08-26T20:45:21.6083114Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6083343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6083419Z return mod(*inputs) 2025-08-26T20:45:21.6083683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6083765Z x = self.forward_features(x) 2025-08-26T20:45:21.6084035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6084114Z x = self.blocks(x) 2025-08-26T20:45:21.6084365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6084440Z x = self.se(x) 2025-08-26T20:45:21.6084696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6084781Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6084785Z 2025-08-26T20:45:21.6084906Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6085163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6085244Z return mod(*inputs) 2025-08-26T20:45:21.6085480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6085565Z x = self.forward_features(x) 2025-08-26T20:45:21.6085832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6085904Z x = self.blocks(x) 2025-08-26T20:45:21.6086161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6086229Z x = self.se(x) 2025-08-26T20:45:21.6086482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6086587Z return x * self.gate(x_se) 2025-08-26T20:45:21.6086591Z 2025-08-26T20:45:21.6086708Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6087058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6087139Z return mod(*inputs) 2025-08-26T20:45:21.6087384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6087462Z x = self.forward_features(x) 2025-08-26T20:45:21.6087722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6087805Z x = self.blocks(x) 2025-08-26T20:45:21.6088055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6088134Z x = self.se(x) 2025-08-26T20:45:21.6088383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6088466Z return x * self.gate(x_se) 2025-08-26T20:45:21.6088478Z 2025-08-26T20:45:21.6088569Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6088687Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6088914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6088988Z return mod(*inputs) 2025-08-26T20:45:21.6089232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6089312Z x = self.forward_features(x) 2025-08-26T20:45:21.6089577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6089662Z x = self.blocks(x) 2025-08-26T20:45:21.6089911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6089999Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6090231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6090373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6090624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6090746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6090749Z 2025-08-26T20:45:21.6090846Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6090962Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6091179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6091260Z return mod(*inputs) 2025-08-26T20:45:21.6091494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6091582Z x = self.forward_features(x) 2025-08-26T20:45:21.6091859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6091934Z x = self.blocks(x) 2025-08-26T20:45:21.6092192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6092269Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6092505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6092622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6092869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6092985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6093009Z 2025-08-26T20:45:21.6093099Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6093195Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6093311Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6093557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6093633Z return mod(*inputs) 2025-08-26T20:45:21.6093870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6093959Z x = self.forward_features(x) 2025-08-26T20:45:21.6094218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6094298Z x = self.blocks(x) 2025-08-26T20:45:21.6094554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6094631Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6094872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6094949Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6094954Z 2025-08-26T20:45:21.6095078Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6095303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6095378Z return mod(*inputs) 2025-08-26T20:45:21.6095622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6095700Z x = self.forward_features(x) 2025-08-26T20:45:21.6095967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6096038Z x = self.blocks(x) 2025-08-26T20:45:21.6096302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6096386Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6096391Z 2025-08-26T20:45:21.6096506Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6096757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6096834Z return mod(*inputs) 2025-08-26T20:45:21.6097078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6097157Z x = self.forward_features(x) 2025-08-26T20:45:21.6097419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6097498Z x = self.blocks(x) 2025-08-26T20:45:21.6097751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6097833Z x = self.conv_pw(x) 2025-08-26T20:45:21.6098061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6098182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6098447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6098568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6098571Z 2025-08-26T20:45:21.6098693Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6098910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6098989Z return mod(*inputs) 2025-08-26T20:45:21.6099219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6099299Z x = self.forward_features(x) 2025-08-26T20:45:21.6099560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6099651Z x = self.blocks(x) 2025-08-26T20:45:21.6099909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6099985Z x = self.conv_pw(x) 2025-08-26T20:45:21.6100232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6100360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6100600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6100722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6100726Z 2025-08-26T20:45:21.6100816Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6100903Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6101026Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6101248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6101326Z return mod(*inputs) 2025-08-26T20:45:21.6101562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6101643Z x = self.forward_features(x) 2025-08-26T20:45:21.6101914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6101984Z x = self.blocks(x) 2025-08-26T20:45:21.6102243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6102316Z x = self.conv_pw(x) 2025-08-26T20:45:21.6102553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6102629Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6102633Z 2025-08-26T20:45:21.6102746Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6102974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6103049Z return mod(*inputs) 2025-08-26T20:45:21.6103330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6103411Z x = self.forward_features(x) 2025-08-26T20:45:21.6103682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6103764Z x = self.blocks(x) 2025-08-26T20:45:21.6104015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6104095Z x = self.bn1(x) 2025-08-26T20:45:21.6104328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6104401Z x = F.batch_norm( 2025-08-26T20:45:21.6104407Z 2025-08-26T20:45:21.6104530Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6104771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6104872Z return mod(*inputs) 2025-08-26T20:45:21.6105112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6105200Z x = self.forward_features(x) 2025-08-26T20:45:21.6105467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6105538Z x = self.blocks(x) 2025-08-26T20:45:21.6105793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6105864Z x = self.bn1(x) 2025-08-26T20:45:21.6106104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6106193Z x = self.act(x) 2025-08-26T20:45:21.6106197Z 2025-08-26T20:45:21.6106289Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6106413Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6106653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6106750Z return mod(*inputs) 2025-08-26T20:45:21.6106986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6107066Z x = self.forward_features(x) 2025-08-26T20:45:21.6107347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6107419Z x = self.blocks(x) 2025-08-26T20:45:21.6107676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6107748Z x = self.conv_dw(x) 2025-08-26T20:45:21.6107980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6108110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6108359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6108485Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6108488Z 2025-08-26T20:45:21.6108579Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6108701Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6108937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6109011Z return mod(*inputs) 2025-08-26T20:45:21.6109253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6109334Z x = self.forward_features(x) 2025-08-26T20:45:21.6109614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6109689Z x = self.blocks(x) 2025-08-26T20:45:21.6109962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6110046Z x = self.conv_dw(x) 2025-08-26T20:45:21.6110277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6110402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6110645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6110763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6110767Z 2025-08-26T20:45:21.6110862Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6110977Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6111205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6111278Z return mod(*inputs) 2025-08-26T20:45:21.6111534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6111621Z x = self.forward_features(x) 2025-08-26T20:45:21.6111881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6111961Z x = self.blocks(x) 2025-08-26T20:45:21.6112211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6112290Z x = self.conv_dw(x) 2025-08-26T20:45:21.6112517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6112632Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6112902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6113017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6113022Z 2025-08-26T20:45:21.6113120Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6113251Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6113471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6113553Z return mod(*inputs) 2025-08-26T20:45:21.6113784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6113871Z x = self.forward_features(x) 2025-08-26T20:45:21.6114130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6114201Z x = self.blocks(x) 2025-08-26T20:45:21.6114458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6114532Z x = self.conv_dw(x) 2025-08-26T20:45:21.6114767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6114883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6115121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6115243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6115247Z 2025-08-26T20:45:21.6115336Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6115432Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6115518Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6115612Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6115729Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6115951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6116033Z return mod(*inputs) 2025-08-26T20:45:21.6116267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6116372Z x = self.forward_features(x) 2025-08-26T20:45:21.6116632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6116704Z x = self.blocks(x) 2025-08-26T20:45:21.6116959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6117032Z x = self.conv_dw(x) 2025-08-26T20:45:21.6117267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6117342Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6117346Z 2025-08-26T20:45:21.6117432Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6117558Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6117775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6117873Z return mod(*inputs) 2025-08-26T20:45:21.6118112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6118191Z x = self.forward_features(x) 2025-08-26T20:45:21.6118461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6118533Z x = self.blocks(x) 2025-08-26T20:45:21.6118797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6118866Z x = self.se(x) 2025-08-26T20:45:21.6119116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6119228Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6119232Z 2025-08-26T20:45:21.6119349Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6119581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6119668Z return mod(*inputs) 2025-08-26T20:45:21.6119915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6119995Z x = self.forward_features(x) 2025-08-26T20:45:21.6120252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6120331Z x = self.blocks(x) 2025-08-26T20:45:21.6120581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6120656Z x = self.se(x) 2025-08-26T20:45:21.6120901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6120986Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6120992Z 2025-08-26T20:45:21.6121114Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6121336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6121425Z return mod(*inputs) 2025-08-26T20:45:21.6121658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6121736Z x = self.forward_features(x) 2025-08-26T20:45:21.6121999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6122070Z x = self.blocks(x) 2025-08-26T20:45:21.6122326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6122393Z x = self.se(x) 2025-08-26T20:45:21.6122647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6122726Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6122730Z 2025-08-26T20:45:21.6122863Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6123093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6123167Z return mod(*inputs) 2025-08-26T20:45:21.6123408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6123488Z x = self.forward_features(x) 2025-08-26T20:45:21.6123754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6123834Z x = self.blocks(x) 2025-08-26T20:45:21.6124080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6124160Z x = self.se(x) 2025-08-26T20:45:21.6124406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6124506Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6124511Z 2025-08-26T20:45:21.6124638Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6124857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6124937Z return mod(*inputs) 2025-08-26T20:45:21.6125171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6125249Z x = self.forward_features(x) 2025-08-26T20:45:21.6125525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6125595Z x = self.blocks(x) 2025-08-26T20:45:21.6125855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6125941Z x = self.se(x) 2025-08-26T20:45:21.6126197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6126304Z return x * self.gate(x_se) 2025-08-26T20:45:21.6126308Z 2025-08-26T20:45:21.6126425Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6126651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6126726Z return mod(*inputs) 2025-08-26T20:45:21.6127054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6127140Z x = self.forward_features(x) 2025-08-26T20:45:21.6127411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6127495Z x = self.blocks(x) 2025-08-26T20:45:21.6127742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6127821Z x = self.se(x) 2025-08-26T20:45:21.6128067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6128146Z return x * self.gate(x_se) 2025-08-26T20:45:21.6128150Z 2025-08-26T20:45:21.6128247Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6128363Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6128589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6128662Z return mod(*inputs) 2025-08-26T20:45:21.6128896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6128983Z x = self.forward_features(x) 2025-08-26T20:45:21.6129250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6129334Z x = self.blocks(x) 2025-08-26T20:45:21.6129605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6129695Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6129924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6130045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6130295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6130609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6130616Z 2025-08-26T20:45:21.6130724Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6130840Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6131065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6131150Z return mod(*inputs) 2025-08-26T20:45:21.6131510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6131599Z x = self.forward_features(x) 2025-08-26T20:45:21.6131858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6131930Z x = self.blocks(x) 2025-08-26T20:45:21.6132193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6132270Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6132509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6132628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6132911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6133032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6133037Z 2025-08-26T20:45:21.6133130Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6133257Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6133378Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6133608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6133682Z return mod(*inputs) 2025-08-26T20:45:21.6133918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6134009Z x = self.forward_features(x) 2025-08-26T20:45:21.6134272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6134352Z x = self.blocks(x) 2025-08-26T20:45:21.6134607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6134684Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6134927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6135003Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6135007Z 2025-08-26T20:45:21.6135129Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6135352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6135424Z return mod(*inputs) 2025-08-26T20:45:21.6135667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6135746Z x = self.forward_features(x) 2025-08-26T20:45:21.6136013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6136087Z x = self.blocks(x) 2025-08-26T20:45:21.6136345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6136430Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6136469Z 2025-08-26T20:45:21.6136589Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6136821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6136899Z return mod(*inputs) 2025-08-26T20:45:21.6137143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6137226Z x = self.forward_features(x) 2025-08-26T20:45:21.6137489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6137572Z x = self.blocks(x) 2025-08-26T20:45:21.6137825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6137913Z x = self.conv_pw(x) 2025-08-26T20:45:21.6138166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6138286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6138533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6138649Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6138652Z 2025-08-26T20:45:21.6138774Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6138991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6139072Z return mod(*inputs) 2025-08-26T20:45:21.6139304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6139405Z x = self.forward_features(x) 2025-08-26T20:45:21.6139673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6139748Z x = self.blocks(x) 2025-08-26T20:45:21.6140027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6140104Z x = self.conv_pw(x) 2025-08-26T20:45:21.6140331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6140456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6140694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6140815Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6140818Z 2025-08-26T20:45:21.6140910Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6140999Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6141120Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6141341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6141420Z return mod(*inputs) 2025-08-26T20:45:21.6141655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6141734Z x = self.forward_features(x) 2025-08-26T20:45:21.6142000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6142072Z x = self.blocks(x) 2025-08-26T20:45:21.6142328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6142399Z x = self.conv_pw(x) 2025-08-26T20:45:21.6142633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6142711Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6142716Z 2025-08-26T20:45:21.6142831Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6143077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6143154Z return mod(*inputs) 2025-08-26T20:45:21.6143392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6143471Z x = self.forward_features(x) 2025-08-26T20:45:21.6143741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6143820Z x = self.blocks(x) 2025-08-26T20:45:21.6144071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6144149Z x = self.bn1(x) 2025-08-26T20:45:21.6144382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6144472Z x = F.batch_norm( 2025-08-26T20:45:21.6144476Z 2025-08-26T20:45:21.6144601Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6144825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6144904Z return mod(*inputs) 2025-08-26T20:45:21.6145143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6145221Z x = self.forward_features(x) 2025-08-26T20:45:21.6145500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6145570Z x = self.blocks(x) 2025-08-26T20:45:21.6145832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6145919Z x = self.bn1(x) 2025-08-26T20:45:21.6146158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6146229Z x = self.act(x) 2025-08-26T20:45:21.6146233Z 2025-08-26T20:45:21.6146325Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6146503Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6146739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6146819Z return mod(*inputs) 2025-08-26T20:45:21.6147053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6147132Z x = self.forward_features(x) 2025-08-26T20:45:21.6147398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6147469Z x = self.blocks(x) 2025-08-26T20:45:21.6147728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6147800Z x = self.conv_dw(x) 2025-08-26T20:45:21.6148034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6148164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6148401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6148525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6148528Z 2025-08-26T20:45:21.6148618Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6148730Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6148956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6149029Z return mod(*inputs) 2025-08-26T20:45:21.6149270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6149350Z x = self.forward_features(x) 2025-08-26T20:45:21.6149916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6149994Z x = self.blocks(x) 2025-08-26T20:45:21.6150251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6150334Z x = self.conv_dw(x) 2025-08-26T20:45:21.6150567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6150696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6150937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6151056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6151062Z 2025-08-26T20:45:21.6151163Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6151279Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6151531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6151608Z return mod(*inputs) 2025-08-26T20:45:21.6151844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6151953Z x = self.forward_features(x) 2025-08-26T20:45:21.6152222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6152304Z x = self.blocks(x) 2025-08-26T20:45:21.6152555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6152630Z x = self.conv_dw(x) 2025-08-26T20:45:21.6152867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6153014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6153263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6153398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6153403Z 2025-08-26T20:45:21.6153500Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6153616Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6153839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6153919Z return mod(*inputs) 2025-08-26T20:45:21.6154152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6154237Z x = self.forward_features(x) 2025-08-26T20:45:21.6154500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6154578Z x = self.blocks(x) 2025-08-26T20:45:21.6154839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6154923Z x = self.conv_dw(x) 2025-08-26T20:45:21.6155157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6155267Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6155499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6155620Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6155624Z 2025-08-26T20:45:21.6155714Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6155810Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6155897Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6155990Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6156102Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6156347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6156431Z return mod(*inputs) 2025-08-26T20:45:21.6156666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6156752Z x = self.forward_features(x) 2025-08-26T20:45:21.6157012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6157084Z x = self.blocks(x) 2025-08-26T20:45:21.6157347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6157420Z x = self.conv_dw(x) 2025-08-26T20:45:21.6157658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6157737Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6157761Z 2025-08-26T20:45:21.6157848Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6157974Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6158191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6158272Z return mod(*inputs) 2025-08-26T20:45:21.6158504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6158581Z x = self.forward_features(x) 2025-08-26T20:45:21.6158845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6158916Z x = self.blocks(x) 2025-08-26T20:45:21.6159171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6159261Z x = self.se(x) 2025-08-26T20:45:21.6159512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6159606Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6159611Z 2025-08-26T20:45:21.6159744Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6159972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6160045Z return mod(*inputs) 2025-08-26T20:45:21.6160287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6160366Z x = self.forward_features(x) 2025-08-26T20:45:21.6160628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6160709Z x = self.blocks(x) 2025-08-26T20:45:21.6160961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6161040Z x = self.se(x) 2025-08-26T20:45:21.6161296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6161381Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6161385Z 2025-08-26T20:45:21.6161509Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6161731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6161812Z return mod(*inputs) 2025-08-26T20:45:21.6162048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6162127Z x = self.forward_features(x) 2025-08-26T20:45:21.6162397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6162470Z x = self.blocks(x) 2025-08-26T20:45:21.6162729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6162801Z x = self.se(x) 2025-08-26T20:45:21.6163071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6163161Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6163164Z 2025-08-26T20:45:21.6163281Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6163509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6163583Z return mod(*inputs) 2025-08-26T20:45:21.6163825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6163904Z x = self.forward_features(x) 2025-08-26T20:45:21.6164162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6164244Z x = self.blocks(x) 2025-08-26T20:45:21.6164492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6164590Z x = self.se(x) 2025-08-26T20:45:21.6164841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6164925Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6164929Z 2025-08-26T20:45:21.6165052Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6165272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6165350Z return mod(*inputs) 2025-08-26T20:45:21.6165587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6165666Z x = self.forward_features(x) 2025-08-26T20:45:21.6165952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6166022Z x = self.blocks(x) 2025-08-26T20:45:21.6166279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6166366Z x = self.se(x) 2025-08-26T20:45:21.6166621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6166701Z return x * self.gate(x_se) 2025-08-26T20:45:21.6166705Z 2025-08-26T20:45:21.6166818Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6167132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6167211Z return mod(*inputs) 2025-08-26T20:45:21.6167455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6167538Z x = self.forward_features(x) 2025-08-26T20:45:21.6167795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6167878Z x = self.blocks(x) 2025-08-26T20:45:21.6168130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6168207Z x = self.se(x) 2025-08-26T20:45:21.6168454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6168533Z return x * self.gate(x_se) 2025-08-26T20:45:21.6168537Z 2025-08-26T20:45:21.6168635Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6168749Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6168976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6169051Z return mod(*inputs) 2025-08-26T20:45:21.6169287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6169375Z x = self.forward_features(x) 2025-08-26T20:45:21.6169657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6169740Z x = self.blocks(x) 2025-08-26T20:45:21.6169992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6170075Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6170308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6170428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6170679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6170799Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6170804Z 2025-08-26T20:45:21.6170901Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6171014Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6171264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6171348Z return mod(*inputs) 2025-08-26T20:45:21.6171588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6171674Z x = self.forward_features(x) 2025-08-26T20:45:21.6171931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6172003Z x = self.blocks(x) 2025-08-26T20:45:21.6172258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6172333Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6172571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6172708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6172950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6173091Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6173096Z 2025-08-26T20:45:21.6173186Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6173281Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6173396Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6173623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6173696Z return mod(*inputs) 2025-08-26T20:45:21.6173929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6174016Z x = self.forward_features(x) 2025-08-26T20:45:21.6174274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6174354Z x = self.blocks(x) 2025-08-26T20:45:21.6174607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6174682Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6174918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6174993Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6174996Z 2025-08-26T20:45:21.6175117Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6175334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6175407Z return mod(*inputs) 2025-08-26T20:45:21.6175647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6175729Z x = self.forward_features(x) 2025-08-26T20:45:21.6175995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6176090Z x = self.blocks(x) 2025-08-26T20:45:21.6176341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6176433Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6176438Z 2025-08-26T20:45:21.6176552Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6176777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6176849Z return mod(*inputs) 2025-08-26T20:45:21.6177091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6177170Z x = self.forward_features(x) 2025-08-26T20:45:21.6177429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6177510Z x = self.blocks(x) 2025-08-26T20:45:21.6177793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6177876Z x = self.conv_pw(x) 2025-08-26T20:45:21.6177879Z 2025-08-26T20:45:21.6177993Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6178210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6178291Z return mod(*inputs) 2025-08-26T20:45:21.6178523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6178609Z x = self.forward_features(x) 2025-08-26T20:45:21.6178866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6178955Z x = self.blocks(x) 2025-08-26T20:45:21.6179215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6179287Z x = self.bn1(x) 2025-08-26T20:45:21.6179538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6179613Z x = F.batch_norm( 2025-08-26T20:45:21.6179617Z 2025-08-26T20:45:21.6179739Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6179967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6180040Z return mod(*inputs) 2025-08-26T20:45:21.6180286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6180365Z x = self.forward_features(x) 2025-08-26T20:45:21.6180633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6180705Z x = self.blocks(x) 2025-08-26T20:45:21.6180954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6181036Z x = self.bn1(x) 2025-08-26T20:45:21.6181264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6181343Z x = self.act(x) 2025-08-26T20:45:21.6181347Z 2025-08-26T20:45:21.6181460Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6181677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6181757Z return mod(*inputs) 2025-08-26T20:45:21.6181992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6182078Z x = self.forward_features(x) 2025-08-26T20:45:21.6182335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6182408Z x = self.blocks(x) 2025-08-26T20:45:21.6182684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6182761Z x = self.conv_dw(x) 2025-08-26T20:45:21.6182995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6183114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6183361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6183478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6183709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6183787Z return conv2d_same( 2025-08-26T20:45:21.6184027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.6184156Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.6184401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.6184569Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.6184791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.6184907Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.6184911Z 2025-08-26T20:45:21.6185034Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6185254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6185327Z return mod(*inputs) 2025-08-26T20:45:21.6185565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6185669Z x = self.forward_features(x) 2025-08-26T20:45:21.6185942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6186030Z x = self.blocks(x) 2025-08-26T20:45:21.6186289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6186363Z x = self.conv_dw(x) 2025-08-26T20:45:21.6186592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6186717Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6186959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6187082Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6187316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6187388Z return conv2d_same( 2025-08-26T20:45:21.6187642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.6187793Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.6187797Z 2025-08-26T20:45:21.6187919Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6188139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6188211Z return mod(*inputs) 2025-08-26T20:45:21.6188452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6188531Z x = self.forward_features(x) 2025-08-26T20:45:21.6188807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6188879Z x = self.blocks(x) 2025-08-26T20:45:21.6189140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6189213Z x = self.conv_dw(x) 2025-08-26T20:45:21.6189462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6189589Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6189833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6189956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6190185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6190258Z return conv2d_same( 2025-08-26T20:45:21.6190512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.6190633Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.6190890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.6191054Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.6191269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.6191391Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.6191395Z 2025-08-26T20:45:21.6191512Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6191738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6191813Z return mod(*inputs) 2025-08-26T20:45:21.6192053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6192152Z x = self.forward_features(x) 2025-08-26T20:45:21.6192423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6192509Z x = self.blocks(x) 2025-08-26T20:45:21.6192780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6192862Z x = self.conv_dw(x) 2025-08-26T20:45:21.6193094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6193212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6193464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6193581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6193819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6193894Z return conv2d_same( 2025-08-26T20:45:21.6194141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.6194300Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.6194304Z 2025-08-26T20:45:21.6194422Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6194650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6194723Z return mod(*inputs) 2025-08-26T20:45:21.6194964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6195044Z x = self.forward_features(x) 2025-08-26T20:45:21.6195302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6195384Z x = self.blocks(x) 2025-08-26T20:45:21.6195634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6195714Z x = self.conv_dw(x) 2025-08-26T20:45:21.6195961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6196079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6196323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6196438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6196669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6196743Z return conv2d_same( 2025-08-26T20:45:21.6196977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.6197103Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.6197324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.6197508Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.6197718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.6197838Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.6197842Z 2025-08-26T20:45:21.6197961Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6198182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6198265Z return mod(*inputs) 2025-08-26T20:45:21.6198497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6198606Z x = self.forward_features(x) 2025-08-26T20:45:21.6198870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6198946Z x = self.blocks(x) 2025-08-26T20:45:21.6199229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6199304Z x = self.conv_dw(x) 2025-08-26T20:45:21.6199546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6199663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6199899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6200021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6200245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6200328Z return conv2d_same( 2025-08-26T20:45:21.6200565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.6200719Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.6200725Z 2025-08-26T20:45:21.6200841Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6201059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6201139Z return mod(*inputs) 2025-08-26T20:45:21.6201373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6201459Z x = self.forward_features(x) 2025-08-26T20:45:21.6201717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6201789Z x = self.blocks(x) 2025-08-26T20:45:21.6202051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6202122Z x = self.conv_dw(x) 2025-08-26T20:45:21.6202384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6202503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6202741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6202861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6203086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6203168Z return conv2d_same( 2025-08-26T20:45:21.6203404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-26T20:45:21.6203522Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-26T20:45:21.6203745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-26T20:45:21.6203919Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-26T20:45:21.6204139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-26T20:45:21.6204250Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-26T20:45:21.6204254Z 2025-08-26T20:45:21.6204379Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6204595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6204668Z return mod(*inputs) 2025-08-26T20:45:21.6204909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6204988Z x = self.forward_features(x) 2025-08-26T20:45:21.6205271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6205343Z x = self.blocks(x) 2025-08-26T20:45:21.6205597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6205694Z x = self.conv_dw(x) 2025-08-26T20:45:21.6205927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6206051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6206293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6206416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6206646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-26T20:45:21.6206719Z return conv2d_same( 2025-08-26T20:45:21.6207060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-26T20:45:21.6207219Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-26T20:45:21.6207223Z 2025-08-26T20:45:21.6207331Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6207425Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6207514Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6207610Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6207728Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6207959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6208033Z return mod(*inputs) 2025-08-26T20:45:21.6208271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6208361Z x = self.forward_features(x) 2025-08-26T20:45:21.6208627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6208712Z x = self.blocks(x) 2025-08-26T20:45:21.6209047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6209122Z x = self.conv_dw(x) 2025-08-26T20:45:21.6209364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6209444Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6209447Z 2025-08-26T20:45:21.6209542Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6209658Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6209899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6209972Z return mod(*inputs) 2025-08-26T20:45:21.6210207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6210296Z x = self.forward_features(x) 2025-08-26T20:45:21.6210567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6210669Z x = self.blocks(x) 2025-08-26T20:45:21.6210923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6210993Z x = self.se(x) 2025-08-26T20:45:21.6211250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6211335Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6211339Z 2025-08-26T20:45:21.6211463Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6211700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6211774Z return mod(*inputs) 2025-08-26T20:45:21.6212040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6212122Z x = self.forward_features(x) 2025-08-26T20:45:21.6212421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6212495Z x = self.blocks(x) 2025-08-26T20:45:21.6212743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6212821Z x = self.se(x) 2025-08-26T20:45:21.6213067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6213168Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6213171Z 2025-08-26T20:45:21.6213284Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6213514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6213588Z return mod(*inputs) 2025-08-26T20:45:21.6213818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6213904Z x = self.forward_features(x) 2025-08-26T20:45:21.6214165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6214243Z x = self.blocks(x) 2025-08-26T20:45:21.6214485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6214553Z x = self.se(x) 2025-08-26T20:45:21.6214799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6214874Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6214878Z 2025-08-26T20:45:21.6214997Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6215222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6215294Z return mod(*inputs) 2025-08-26T20:45:21.6215533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6215632Z x = self.forward_features(x) 2025-08-26T20:45:21.6215894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6215963Z x = self.blocks(x) 2025-08-26T20:45:21.6216208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6216283Z x = self.se(x) 2025-08-26T20:45:21.6216533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6216622Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6216625Z 2025-08-26T20:45:21.6216741Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6216972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6217063Z return mod(*inputs) 2025-08-26T20:45:21.6217300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6217388Z x = self.forward_features(x) 2025-08-26T20:45:21.6217652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6217726Z x = self.blocks(x) 2025-08-26T20:45:21.6217968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6218035Z x = self.se(x) 2025-08-26T20:45:21.6218289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6218369Z return x * self.gate(x_se) 2025-08-26T20:45:21.6218391Z 2025-08-26T20:45:21.6218514Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6218732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6218807Z return mod(*inputs) 2025-08-26T20:45:21.6219068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6219150Z x = self.forward_features(x) 2025-08-26T20:45:21.6219420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6219492Z x = self.blocks(x) 2025-08-26T20:45:21.6219752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6219819Z x = self.se(x) 2025-08-26T20:45:21.6220070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6220160Z return x * self.gate(x_se) 2025-08-26T20:45:21.6220164Z 2025-08-26T20:45:21.6220278Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6220506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6220581Z return mod(*inputs) 2025-08-26T20:45:21.6220817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6220905Z x = self.forward_features(x) 2025-08-26T20:45:21.6221166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6221245Z x = self.blocks(x) 2025-08-26T20:45:21.6221498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6221574Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6221578Z 2025-08-26T20:45:21.6221702Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6221919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6222000Z return mod(*inputs) 2025-08-26T20:45:21.6222256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6222337Z x = self.forward_features(x) 2025-08-26T20:45:21.6222601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6222674Z x = self.blocks(x) 2025-08-26T20:45:21.6222927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-26T20:45:21.6222997Z x = self.bn3(x) 2025-08-26T20:45:21.6223231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6223304Z x = F.batch_norm( 2025-08-26T20:45:21.6223309Z 2025-08-26T20:45:21.6223423Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6223649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6223741Z return mod(*inputs) 2025-08-26T20:45:21.6223983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6224062Z x = self.forward_features(x) 2025-08-26T20:45:21.6224320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6224399Z x = self.blocks(x) 2025-08-26T20:45:21.6224646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6224729Z x = self.conv_pw(x) 2025-08-26T20:45:21.6224732Z 2025-08-26T20:45:21.6224852Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6225081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6225158Z return mod(*inputs) 2025-08-26T20:45:21.6225384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6225496Z x = self.forward_features(x) 2025-08-26T20:45:21.6225755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6225826Z x = self.blocks(x) 2025-08-26T20:45:21.6226081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6226151Z x = self.bn1(x) 2025-08-26T20:45:21.6226385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6226458Z x = F.batch_norm( 2025-08-26T20:45:21.6226462Z 2025-08-26T20:45:21.6226582Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6226813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6226889Z return mod(*inputs) 2025-08-26T20:45:21.6227130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6227210Z x = self.forward_features(x) 2025-08-26T20:45:21.6227475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6227545Z x = self.blocks(x) 2025-08-26T20:45:21.6227791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6227866Z x = self.bn1(x) 2025-08-26T20:45:21.6228092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6228168Z x = self.act(x) 2025-08-26T20:45:21.6228171Z 2025-08-26T20:45:21.6228264Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6228378Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6228615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6228707Z return mod(*inputs) 2025-08-26T20:45:21.6228953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6229033Z x = self.forward_features(x) 2025-08-26T20:45:21.6229297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6229375Z x = self.blocks(x) 2025-08-26T20:45:21.6229622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6229701Z x = self.conv_dw(x) 2025-08-26T20:45:21.6229931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6230063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6230302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6230680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6230687Z 2025-08-26T20:45:21.6230794Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6230910Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6231139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6231213Z return mod(*inputs) 2025-08-26T20:45:21.6231446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6231534Z x = self.forward_features(x) 2025-08-26T20:45:21.6231810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6231960Z x = self.blocks(x) 2025-08-26T20:45:21.6232212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6232289Z x = self.conv_dw(x) 2025-08-26T20:45:21.6232556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6232675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6232925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6233039Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6233043Z 2025-08-26T20:45:21.6233140Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6233257Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6233475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6233559Z return mod(*inputs) 2025-08-26T20:45:21.6233795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6233885Z x = self.forward_features(x) 2025-08-26T20:45:21.6234147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6234218Z x = self.blocks(x) 2025-08-26T20:45:21.6234483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6234555Z x = self.conv_dw(x) 2025-08-26T20:45:21.6234795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6234914Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6235156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6235278Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6235283Z 2025-08-26T20:45:21.6235372Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6235534Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6235757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6235831Z return mod(*inputs) 2025-08-26T20:45:21.6236071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6236153Z x = self.forward_features(x) 2025-08-26T20:45:21.6236420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6236492Z x = self.blocks(x) 2025-08-26T20:45:21.6236749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6236825Z x = self.conv_dw(x) 2025-08-26T20:45:21.6237061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6237232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6237476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6237600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6237604Z 2025-08-26T20:45:21.6237695Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6237783Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6237879Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6237964Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6238086Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6238304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6238398Z return mod(*inputs) 2025-08-26T20:45:21.6238643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6238725Z x = self.forward_features(x) 2025-08-26T20:45:21.6239009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6239082Z x = self.blocks(x) 2025-08-26T20:45:21.6239344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6239426Z x = self.conv_dw(x) 2025-08-26T20:45:21.6239659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6239744Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6239747Z 2025-08-26T20:45:21.6239834Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6239950Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6240179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6240252Z return mod(*inputs) 2025-08-26T20:45:21.6240495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6240574Z x = self.forward_features(x) 2025-08-26T20:45:21.6240845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6240917Z x = self.blocks(x) 2025-08-26T20:45:21.6241166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6241243Z x = self.se(x) 2025-08-26T20:45:21.6241491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6241584Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6241589Z 2025-08-26T20:45:21.6241706Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6241923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6242023Z return mod(*inputs) 2025-08-26T20:45:21.6242257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6242345Z x = self.forward_features(x) 2025-08-26T20:45:21.6242602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6242674Z x = self.blocks(x) 2025-08-26T20:45:21.6242928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6242998Z x = self.se(x) 2025-08-26T20:45:21.6243250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6243334Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6243338Z 2025-08-26T20:45:21.6243462Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6243702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6243777Z return mod(*inputs) 2025-08-26T20:45:21.6244017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6244097Z x = self.forward_features(x) 2025-08-26T20:45:21.6244360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6244432Z x = self.blocks(x) 2025-08-26T20:45:21.6244680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6244756Z x = self.se(x) 2025-08-26T20:45:21.6245001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6245110Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6245115Z 2025-08-26T20:45:21.6245230Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6245466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6245549Z return mod(*inputs) 2025-08-26T20:45:21.6245786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6245871Z x = self.forward_features(x) 2025-08-26T20:45:21.6246133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6246204Z x = self.blocks(x) 2025-08-26T20:45:21.6246465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6246532Z x = self.se(x) 2025-08-26T20:45:21.6246794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6246941Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6246948Z 2025-08-26T20:45:21.6247081Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6247305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6247377Z return mod(*inputs) 2025-08-26T20:45:21.6247618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6247696Z x = self.forward_features(x) 2025-08-26T20:45:21.6247969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6248040Z x = self.blocks(x) 2025-08-26T20:45:21.6248291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6248370Z x = self.se(x) 2025-08-26T20:45:21.6248617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6248704Z return x * self.gate(x_se) 2025-08-26T20:45:21.6248730Z 2025-08-26T20:45:21.6248849Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6249069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6249151Z return mod(*inputs) 2025-08-26T20:45:21.6249385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6249474Z x = self.forward_features(x) 2025-08-26T20:45:21.6249743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6249815Z x = self.blocks(x) 2025-08-26T20:45:21.6250078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6250150Z x = self.se(x) 2025-08-26T20:45:21.6250426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6250508Z return x * self.gate(x_se) 2025-08-26T20:45:21.6250511Z 2025-08-26T20:45:21.6250609Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6250725Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6250959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6251041Z return mod(*inputs) 2025-08-26T20:45:21.6251275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6251363Z x = self.forward_features(x) 2025-08-26T20:45:21.6251628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6251760Z x = self.blocks(x) 2025-08-26T20:45:21.6252020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6252099Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6252353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6252475Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6252724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6252859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6252863Z 2025-08-26T20:45:21.6252955Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6253081Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6253305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6253391Z return mod(*inputs) 2025-08-26T20:45:21.6253629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6253717Z x = self.forward_features(x) 2025-08-26T20:45:21.6253988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6254062Z x = self.blocks(x) 2025-08-26T20:45:21.6254324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6254404Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6254640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6254768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6255013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6255141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6255146Z 2025-08-26T20:45:21.6255237Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6255347Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6255474Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6255689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6255768Z return mod(*inputs) 2025-08-26T20:45:21.6256002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6256081Z x = self.forward_features(x) 2025-08-26T20:45:21.6256351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6256423Z x = self.blocks(x) 2025-08-26T20:45:21.6256680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6256759Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6257006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6257091Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6257095Z 2025-08-26T20:45:21.6257212Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6257440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6257514Z return mod(*inputs) 2025-08-26T20:45:21.6257754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6257832Z x = self.forward_features(x) 2025-08-26T20:45:21.6258087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6258167Z x = self.blocks(x) 2025-08-26T20:45:21.6258432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6258524Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6258528Z 2025-08-26T20:45:21.6258659Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6258880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6258962Z return mod(*inputs) 2025-08-26T20:45:21.6259194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6259279Z x = self.forward_features(x) 2025-08-26T20:45:21.6259536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6259607Z x = self.blocks(x) 2025-08-26T20:45:21.6259862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6259936Z x = self.conv_pw(x) 2025-08-26T20:45:21.6259940Z 2025-08-26T20:45:21.6260059Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6260279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6260358Z return mod(*inputs) 2025-08-26T20:45:21.6260591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6260669Z x = self.forward_features(x) 2025-08-26T20:45:21.6260933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6261003Z x = self.blocks(x) 2025-08-26T20:45:21.6261258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6261326Z x = self.bn1(x) 2025-08-26T20:45:21.6261548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6261630Z x = F.batch_norm( 2025-08-26T20:45:21.6261635Z 2025-08-26T20:45:21.6261748Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6261989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6262063Z return mod(*inputs) 2025-08-26T20:45:21.6262297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6262384Z x = self.forward_features(x) 2025-08-26T20:45:21.6262643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6262720Z x = self.blocks(x) 2025-08-26T20:45:21.6262970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6263042Z x = self.bn1(x) 2025-08-26T20:45:21.6263272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6263361Z x = self.act(x) 2025-08-26T20:45:21.6263365Z 2025-08-26T20:45:21.6263464Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6263581Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6263811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6263885Z return mod(*inputs) 2025-08-26T20:45:21.6264125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6264214Z x = self.forward_features(x) 2025-08-26T20:45:21.6264478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6264560Z x = self.blocks(x) 2025-08-26T20:45:21.6264813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6264910Z x = self.conv_dw(x) 2025-08-26T20:45:21.6265155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6265293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6265539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6265656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6265660Z 2025-08-26T20:45:21.6265751Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6265875Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6266093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6266174Z return mod(*inputs) 2025-08-26T20:45:21.6266407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6266488Z x = self.forward_features(x) 2025-08-26T20:45:21.6266757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6266829Z x = self.blocks(x) 2025-08-26T20:45:21.6267088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6267161Z x = self.conv_dw(x) 2025-08-26T20:45:21.6267396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6267511Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6267751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6267872Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6267877Z 2025-08-26T20:45:21.6267966Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6268088Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6268308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6268401Z return mod(*inputs) 2025-08-26T20:45:21.6268647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6268725Z x = self.forward_features(x) 2025-08-26T20:45:21.6268997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6269068Z x = self.blocks(x) 2025-08-26T20:45:21.6269320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6269400Z x = self.conv_dw(x) 2025-08-26T20:45:21.6269628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6269753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6270014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6270138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6270142Z 2025-08-26T20:45:21.6270231Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6270346Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6270575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6270649Z return mod(*inputs) 2025-08-26T20:45:21.6270889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6270968Z x = self.forward_features(x) 2025-08-26T20:45:21.6271235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6271333Z x = self.blocks(x) 2025-08-26T20:45:21.6271584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6271667Z x = self.conv_dw(x) 2025-08-26T20:45:21.6271922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6272038Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6272287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6272400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6272404Z 2025-08-26T20:45:21.6272501Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6272589Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6272676Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6272769Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6272885Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6273116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6273191Z return mod(*inputs) 2025-08-26T20:45:21.6273429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6273518Z x = self.forward_features(x) 2025-08-26T20:45:21.6273790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6273868Z x = self.blocks(x) 2025-08-26T20:45:21.6274119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6274199Z x = self.conv_dw(x) 2025-08-26T20:45:21.6274425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6274502Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6274506Z 2025-08-26T20:45:21.6274598Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6274714Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6274972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6275046Z return mod(*inputs) 2025-08-26T20:45:21.6275289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6275375Z x = self.forward_features(x) 2025-08-26T20:45:21.6275643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6275719Z x = self.blocks(x) 2025-08-26T20:45:21.6275969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6276040Z x = self.se(x) 2025-08-26T20:45:21.6276301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6276419Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6276423Z 2025-08-26T20:45:21.6276549Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6276766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6276841Z return mod(*inputs) 2025-08-26T20:45:21.6277081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6277160Z x = self.forward_features(x) 2025-08-26T20:45:21.6277429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6277499Z x = self.blocks(x) 2025-08-26T20:45:21.6277752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6277840Z x = self.se(x) 2025-08-26T20:45:21.6278088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6278181Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6278205Z 2025-08-26T20:45:21.6278323Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6278550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6278624Z return mod(*inputs) 2025-08-26T20:45:21.6278861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6278949Z x = self.forward_features(x) 2025-08-26T20:45:21.6279210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6279290Z x = self.blocks(x) 2025-08-26T20:45:21.6279542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6279612Z x = self.se(x) 2025-08-26T20:45:21.6279870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6279950Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6279954Z 2025-08-26T20:45:21.6280076Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6280295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6280377Z return mod(*inputs) 2025-08-26T20:45:21.6280614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6280693Z x = self.forward_features(x) 2025-08-26T20:45:21.6280961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6281035Z x = self.blocks(x) 2025-08-26T20:45:21.6281295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6281366Z x = self.se(x) 2025-08-26T20:45:21.6281638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6281731Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6281735Z 2025-08-26T20:45:21.6281851Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6282074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6282149Z return mod(*inputs) 2025-08-26T20:45:21.6282382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6282470Z x = self.forward_features(x) 2025-08-26T20:45:21.6282727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6282808Z x = self.blocks(x) 2025-08-26T20:45:21.6283056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6283145Z x = self.se(x) 2025-08-26T20:45:21.6283407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6283487Z return x * self.gate(x_se) 2025-08-26T20:45:21.6283491Z 2025-08-26T20:45:21.6283614Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6283836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6283916Z return mod(*inputs) 2025-08-26T20:45:21.6284155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6284234Z x = self.forward_features(x) 2025-08-26T20:45:21.6284516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6284590Z x = self.blocks(x) 2025-08-26T20:45:21.6284888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6284958Z x = self.se(x) 2025-08-26T20:45:21.6285206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6285296Z return x * self.gate(x_se) 2025-08-26T20:45:21.6285300Z 2025-08-26T20:45:21.6285389Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6285512Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6285734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6285806Z return mod(*inputs) 2025-08-26T20:45:21.6286055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6286138Z x = self.forward_features(x) 2025-08-26T20:45:21.6286404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6286477Z x = self.blocks(x) 2025-08-26T20:45:21.6286727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6286811Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6287123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6287261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6287500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6287626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6287633Z 2025-08-26T20:45:21.6287724Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6287841Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6288072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6288171Z return mod(*inputs) 2025-08-26T20:45:21.6288417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6288497Z x = self.forward_features(x) 2025-08-26T20:45:21.6288766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6288847Z x = self.blocks(x) 2025-08-26T20:45:21.6289097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6289181Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6289413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6289530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6289799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6289918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6289922Z 2025-08-26T20:45:21.6290017Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6290105Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6290226Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6290446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6290518Z return mod(*inputs) 2025-08-26T20:45:21.6290756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6290832Z x = self.forward_features(x) 2025-08-26T20:45:21.6291127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6291200Z x = self.blocks(x) 2025-08-26T20:45:21.6291452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6291550Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6291781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6291866Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6291870Z 2025-08-26T20:45:21.6291986Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6292222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6292309Z return mod(*inputs) 2025-08-26T20:45:21.6292542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6292632Z x = self.forward_features(x) 2025-08-26T20:45:21.6292900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6292975Z x = self.blocks(x) 2025-08-26T20:45:21.6293236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6293320Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6293324Z 2025-08-26T20:45:21.6293446Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6293681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6293761Z return mod(*inputs) 2025-08-26T20:45:21.6293996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6294075Z x = self.forward_features(x) 2025-08-26T20:45:21.6294348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6294420Z x = self.blocks(x) 2025-08-26T20:45:21.6294678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-26T20:45:21.6294771Z x = self.conv_pw(x) 2025-08-26T20:45:21.6294777Z 2025-08-26T20:45:21.6294893Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6295120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6295194Z return mod(*inputs) 2025-08-26T20:45:21.6295436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6295514Z x = self.forward_features(x) 2025-08-26T20:45:21.6295780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6295861Z x = self.blocks(x) 2025-08-26T20:45:21.6296112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6296217Z x = self.bn1(x) 2025-08-26T20:45:21.6296443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-26T20:45:21.6296516Z x = F.batch_norm( 2025-08-26T20:45:21.6296527Z 2025-08-26T20:45:21.6296641Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6296877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6296965Z return mod(*inputs) 2025-08-26T20:45:21.6297203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6297287Z x = self.forward_features(x) 2025-08-26T20:45:21.6297556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6297644Z x = self.blocks(x) 2025-08-26T20:45:21.6297900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-26T20:45:21.6297971Z x = self.bn1(x) 2025-08-26T20:45:21.6298219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-26T20:45:21.6298290Z x = self.act(x) 2025-08-26T20:45:21.6298294Z 2025-08-26T20:45:21.6298384Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6298507Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6298725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6298806Z return mod(*inputs) 2025-08-26T20:45:21.6299039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6299118Z x = self.forward_features(x) 2025-08-26T20:45:21.6299388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6299459Z x = self.blocks(x) 2025-08-26T20:45:21.6299716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6299793Z x = self.conv_dw(x) 2025-08-26T20:45:21.6300024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6300149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6300387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6300510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6300513Z 2025-08-26T20:45:21.6300603Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6300725Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6300945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6301020Z return mod(*inputs) 2025-08-26T20:45:21.6301292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6301375Z x = self.forward_features(x) 2025-08-26T20:45:21.6301643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6301713Z x = self.blocks(x) 2025-08-26T20:45:21.6301964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6302045Z x = self.conv_dw(x) 2025-08-26T20:45:21.6302277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6302399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6302640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6302753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6302784Z 2025-08-26T20:45:21.6302875Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6302991Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6303213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6303286Z return mod(*inputs) 2025-08-26T20:45:21.6303517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6303604Z x = self.forward_features(x) 2025-08-26T20:45:21.6303862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6303940Z x = self.blocks(x) 2025-08-26T20:45:21.6304191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6304289Z x = self.conv_dw(x) 2025-08-26T20:45:21.6304525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6304658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6304906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6305020Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6305024Z 2025-08-26T20:45:21.6305119Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6305234Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6305453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6305534Z return mod(*inputs) 2025-08-26T20:45:21.6305767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6305855Z x = self.forward_features(x) 2025-08-26T20:45:21.6306127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6306198Z x = self.blocks(x) 2025-08-26T20:45:21.6306457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6306531Z x = self.conv_dw(x) 2025-08-26T20:45:21.6306773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6306889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6307135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6307248Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6307253Z 2025-08-26T20:45:21.6307343Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6307438Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6307528Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6307643Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6307762Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6307984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6308068Z return mod(*inputs) 2025-08-26T20:45:21.6308300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6308387Z x = self.forward_features(x) 2025-08-26T20:45:21.6308645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6308717Z x = self.blocks(x) 2025-08-26T20:45:21.6308974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-26T20:45:21.6309050Z x = self.conv_dw(x) 2025-08-26T20:45:21.6309302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6309384Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6309388Z 2025-08-26T20:45:21.6309476Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6309601Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6309834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6309916Z return mod(*inputs) 2025-08-26T20:45:21.6310147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6310225Z x = self.forward_features(x) 2025-08-26T20:45:21.6310499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6310589Z x = self.blocks(x) 2025-08-26T20:45:21.6310849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6310920Z x = self.se(x) 2025-08-26T20:45:21.6311201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-26T20:45:21.6311289Z x_se = x.mean((2, 3), keepdim=True) 2025-08-26T20:45:21.6311293Z 2025-08-26T20:45:21.6311411Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6311637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6311711Z return mod(*inputs) 2025-08-26T20:45:21.6311953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6312032Z x = self.forward_features(x) 2025-08-26T20:45:21.6312302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6312383Z x = self.blocks(x) 2025-08-26T20:45:21.6312639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6312717Z x = self.se(x) 2025-08-26T20:45:21.6312967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-26T20:45:21.6313051Z x_se = self.conv_reduce(x_se) 2025-08-26T20:45:21.6313058Z 2025-08-26T20:45:21.6313183Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6313418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6313499Z return mod(*inputs) 2025-08-26T20:45:21.6313734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6313815Z x = self.forward_features(x) 2025-08-26T20:45:21.6314092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6314164Z x = self.blocks(x) 2025-08-26T20:45:21.6314443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6314514Z x = self.se(x) 2025-08-26T20:45:21.6314770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-26T20:45:21.6314848Z x_se = self.act1(x_se) 2025-08-26T20:45:21.6314852Z 2025-08-26T20:45:21.6314967Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6315194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6315267Z return mod(*inputs) 2025-08-26T20:45:21.6315509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6315590Z x = self.forward_features(x) 2025-08-26T20:45:21.6315859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6315959Z x = self.blocks(x) 2025-08-26T20:45:21.6316209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6316284Z x = self.se(x) 2025-08-26T20:45:21.6316533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-26T20:45:21.6316615Z x_se = self.conv_expand(x_se) 2025-08-26T20:45:21.6316619Z 2025-08-26T20:45:21.6316741Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6316976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6317056Z return mod(*inputs) 2025-08-26T20:45:21.6317314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6317399Z x = self.forward_features(x) 2025-08-26T20:45:21.6317672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6317763Z x = self.blocks(x) 2025-08-26T20:45:21.6318020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6318087Z x = self.se(x) 2025-08-26T20:45:21.6318339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6318420Z return x * self.gate(x_se) 2025-08-26T20:45:21.6318424Z 2025-08-26T20:45:21.6318535Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6318772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6318849Z return mod(*inputs) 2025-08-26T20:45:21.6319088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6319167Z x = self.forward_features(x) 2025-08-26T20:45:21.6319425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6319502Z x = self.blocks(x) 2025-08-26T20:45:21.6319751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-26T20:45:21.6319825Z x = self.se(x) 2025-08-26T20:45:21.6320067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-26T20:45:21.6320146Z return x * self.gate(x_se) 2025-08-26T20:45:21.6320157Z 2025-08-26T20:45:21.6320245Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6320359Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6320584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6320656Z return mod(*inputs) 2025-08-26T20:45:21.6320920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6321003Z x = self.forward_features(x) 2025-08-26T20:45:21.6321261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6321341Z x = self.blocks(x) 2025-08-26T20:45:21.6321592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6321675Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6321903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6322022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6322271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6322391Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6322413Z 2025-08-26T20:45:21.6322514Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6322638Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6322862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6322948Z return mod(*inputs) 2025-08-26T20:45:21.6323186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6323276Z x = self.forward_features(x) 2025-08-26T20:45:21.6323538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6323612Z x = self.blocks(x) 2025-08-26T20:45:21.6323873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6323972Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6324214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-26T20:45:21.6324359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6324607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-26T20:45:21.6324726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-26T20:45:21.6324729Z 2025-08-26T20:45:21.6324821Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6324916Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6325032Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6325259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6325337Z return mod(*inputs) 2025-08-26T20:45:21.6325568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6325659Z x = self.forward_features(x) 2025-08-26T20:45:21.6325917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6325996Z x = self.blocks(x) 2025-08-26T20:45:21.6326246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-26T20:45:21.6326322Z x = self.conv_pwl(x) 2025-08-26T20:45:21.6326557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-26T20:45:21.6326635Z x = torch.cat(x_out, 1) 2025-08-26T20:45:21.6326638Z 2025-08-26T20:45:21.6326759Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6327057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6327143Z return mod(*inputs) 2025-08-26T20:45:21.6327387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6327499Z x = self.forward_features(x) 2025-08-26T20:45:21.6327771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-26T20:45:21.6327845Z x = self.blocks(x) 2025-08-26T20:45:21.6328105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-26T20:45:21.6328191Z x = self.drop_path(x) + shortcut 2025-08-26T20:45:21.6328195Z 2025-08-26T20:45:21.6328314Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6328546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6328621Z return mod(*inputs) 2025-08-26T20:45:21.6328870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-26T20:45:21.6328950Z x = self.forward_features(x) 2025-08-26T20:45:21.6329229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-26T20:45:21.6329319Z x = self.conv_head(x) 2025-08-26T20:45:21.6329323Z 2025-08-26T20:45:21.6329415Z cudagraph partition due to non gpu ops 2025-08-26T20:45:21.6329538Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6329753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6329826Z return mod(*inputs) 2025-08-26T20:45:21.6330066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-26T20:45:21.6330147Z x = self.forward_head(x) 2025-08-26T20:45:21.6330750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-26T20:45:21.6330910Z x = self.global_pool(x) 2025-08-26T20:45:21.6331172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-26T20:45:21.6331261Z x = self.pool(x) 2025-08-26T20:45:21.6331301Z 2025-08-26T20:45:21.6331421Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:45:21.6331648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:45:21.6331721Z return mod(*inputs) 2025-08-26T20:45:21.6331970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-26T20:45:21.6332048Z x = self.forward_head(x) 2025-08-26T20:45:21.6332300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-26T20:45:21.6332421Z return x if pre_logits else self.classifier(x) 2025-08-26T20:45:21.6332426Z 2025-08-26T20:45:42.0070391Z Compilation time (from dynamo_timed): 54.208935992 2025-08-26T20:45:42.0070724Z pass 2025-08-26T20:45:42.0076802Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-26T20:45:42.0077792Z TIMING: _recursive_pre_grad_passes:0.0129 _recursive_joint_graph_passes:0.23733 _recursive_post_grad_passes:0.1809 async_compile.wait:0.89386 code_gen:18.68464 inductor_compile:26.67836 backend_compile:43.19547 gc:0.00042 entire_frame_compile:54.20894 total_wall_time:54.20894 2025-08-26T20:45:42.0078943Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:20353 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:8814 | ProxyTorchDispatchMode.__torch_dispatch__:7408 2025-08-26T20:45:42.0093200Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-08-26T20:45:50.5632913Z 2025-08-26T20:45:50.7098109Z loading model: 0it [00:00, ?it/s] 2025-08-26T20:45:50.7098568Z 2025-08-26T20:45:50.7853786Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-26T20:52:22.6541335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-26T20:52:22.6541684Z x = self.conv(x) 2025-08-26T20:52:22.6541800Z 2025-08-26T20:52:22.6541924Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6542339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6542700Z return mod(*inputs) 2025-08-26T20:52:22.6543031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6543390Z x = self.forward_features(x) 2025-08-26T20:52:22.6543799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-26T20:52:22.6544230Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-26T20:52:22.6544637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-26T20:52:22.6544983Z x = self.conv(x) 2025-08-26T20:52:22.6545096Z 2025-08-26T20:52:22.6545219Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6545614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6545978Z return mod(*inputs) 2025-08-26T20:52:22.6546304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6546665Z x = self.forward_features(x) 2025-08-26T20:52:22.6547104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-26T20:52:22.6547533Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-26T20:52:22.6547932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-26T20:52:22.6548279Z x = self.conv(x) 2025-08-26T20:52:22.6548392Z 2025-08-26T20:52:22.6548520Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6548922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6549277Z return mod(*inputs) 2025-08-26T20:52:22.6549607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6549966Z x = self.forward_features(x) 2025-08-26T20:52:22.6550340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-26T20:52:22.6550764Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-26T20:52:22.6551166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-26T20:52:22.6551516Z x = self.conv(x) 2025-08-26T20:52:22.6551625Z 2025-08-26T20:52:22.6551773Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6552179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6552536Z return mod(*inputs) 2025-08-26T20:52:22.6552866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6553226Z x = self.forward_features(x) 2025-08-26T20:52:22.6553624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-26T20:52:22.6554050Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-26T20:52:22.6554482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-26T20:52:22.6554849Z x = self.conv(x) 2025-08-26T20:52:22.6554962Z 2025-08-26T20:52:22.6555088Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6555509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6555876Z return mod(*inputs) 2025-08-26T20:52:22.6556208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6556571Z x = self.forward_features(x) 2025-08-26T20:52:22.6556945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-26T20:52:22.6557369Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-26T20:52:22.6557786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-26T20:52:22.6558131Z x = self.conv(x) 2025-08-26T20:52:22.6558237Z 2025-08-26T20:52:22.6558384Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6558799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6559165Z return mod(*inputs) 2025-08-26T20:52:22.6559491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6559855Z x = self.forward_features(x) 2025-08-26T20:52:22.6560226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-26T20:52:22.6560647Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-26T20:52:22.6561050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-26T20:52:22.6561416Z x = self.proj(x) # B, C, H, W 2025-08-26T20:52:22.6561555Z 2025-08-26T20:52:22.6561679Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6562090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6562450Z return mod(*inputs) 2025-08-26T20:52:22.6562778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6563126Z x = self.forward_features(x) 2025-08-26T20:52:22.6563494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6563871Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6564232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6564599Z x = block(x) 2025-08-26T20:52:22.6564907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6565281Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6565643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-26T20:52:22.6566044Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-26T20:52:22.6566242Z 2025-08-26T20:52:22.6566357Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6566888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6567280Z return mod(*inputs) 2025-08-26T20:52:22.6567615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6567972Z x = self.forward_features(x) 2025-08-26T20:52:22.6568371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6568760Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6569119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6569487Z x = block(x) 2025-08-26T20:52:22.6569807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6570186Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6570598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-26T20:52:22.6570967Z attn = self.attn(attn).reshape( 2025-08-26T20:52:22.6571125Z 2025-08-26T20:52:22.6571244Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6571656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6572025Z return mod(*inputs) 2025-08-26T20:52:22.6572353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6572722Z x = self.forward_features(x) 2025-08-26T20:52:22.6573108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6573508Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6573862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6574229Z x = block(x) 2025-08-26T20:52:22.6574541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6574914Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6575282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-26T20:52:22.6575648Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-26T20:52:22.6575817Z 2025-08-26T20:52:22.6575934Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6576333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6576691Z return mod(*inputs) 2025-08-26T20:52:22.6577004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6577359Z x = self.forward_features(x) 2025-08-26T20:52:22.6577730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6578115Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6578476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6578828Z x = block(x) 2025-08-26T20:52:22.6579141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6579513Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6579883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6580318Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6580560Z 2025-08-26T20:52:22.6580674Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6581074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6581438Z return mod(*inputs) 2025-08-26T20:52:22.6581789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6582137Z x = self.forward_features(x) 2025-08-26T20:52:22.6582514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6582898Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6583286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6583647Z x = block(x) 2025-08-26T20:52:22.6583972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6584358Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6584742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6585203Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6585430Z 2025-08-26T20:52:22.6585546Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6585951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6586329Z return mod(*inputs) 2025-08-26T20:52:22.6586655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6587009Z x = self.forward_features(x) 2025-08-26T20:52:22.6587374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6587762Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6588120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6588543Z x = block(x) 2025-08-26T20:52:22.6588851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6589229Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6589600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6590039Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6590265Z 2025-08-26T20:52:22.6590366Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6590607Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6590874Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6591276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6591640Z return mod(*inputs) 2025-08-26T20:52:22.6591964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6592320Z x = self.forward_features(x) 2025-08-26T20:52:22.6592695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6593079Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6593438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6593813Z x = block(x) 2025-08-26T20:52:22.6594128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6594505Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6594875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6595227Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6595385Z 2025-08-26T20:52:22.6595500Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6595902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6596263Z return mod(*inputs) 2025-08-26T20:52:22.6596607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6596958Z x = self.forward_features(x) 2025-08-26T20:52:22.6597336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6597723Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6598108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6598468Z x = block(x) 2025-08-26T20:52:22.6598782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6599157Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6599531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6599917Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6600068Z 2025-08-26T20:52:22.6600186Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6600591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6600952Z return mod(*inputs) 2025-08-26T20:52:22.6601282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6601631Z x = self.forward_features(x) 2025-08-26T20:52:22.6602008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6602396Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6602759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6603153Z x = block(x) 2025-08-26T20:52:22.6603461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6603847Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6604233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6604583Z x = self.fc1(x) 2025-08-26T20:52:22.6604693Z 2025-08-26T20:52:22.6604809Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6605218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6605585Z return mod(*inputs) 2025-08-26T20:52:22.6605915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6606266Z x = self.forward_features(x) 2025-08-26T20:52:22.6606644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6607149Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6607516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6607901Z x = block(x) 2025-08-26T20:52:22.6608205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6608586Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6608966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6609315Z x = self.act(x) 2025-08-26T20:52:22.6609426Z 2025-08-26T20:52:22.6609542Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6609952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6610315Z return mod(*inputs) 2025-08-26T20:52:22.6610640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6610989Z x = self.forward_features(x) 2025-08-26T20:52:22.6611394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6611783Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6612145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6612523Z x = block(x) 2025-08-26T20:52:22.6612831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6613229Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6613603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6613945Z x = self.fc2(x) 2025-08-26T20:52:22.6614050Z 2025-08-26T20:52:22.6614171Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6614566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6614946Z return mod(*inputs) 2025-08-26T20:52:22.6615279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6615651Z x = self.forward_features(x) 2025-08-26T20:52:22.6616015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6616402Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6616778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6617157Z x = block(x) 2025-08-26T20:52:22.6617481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6617862Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6618257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-26T20:52:22.6618660Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-26T20:52:22.6618856Z 2025-08-26T20:52:22.6618980Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6619385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6619750Z return mod(*inputs) 2025-08-26T20:52:22.6620085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6620452Z x = self.forward_features(x) 2025-08-26T20:52:22.6620825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6621214Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6621581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6621956Z x = block(x) 2025-08-26T20:52:22.6622275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6622670Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6623053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-26T20:52:22.6623414Z attn = self.attn(attn).reshape( 2025-08-26T20:52:22.6623557Z 2025-08-26T20:52:22.6623678Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6624081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6624439Z return mod(*inputs) 2025-08-26T20:52:22.6624765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6625120Z x = self.forward_features(x) 2025-08-26T20:52:22.6625495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6625874Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6626237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6626609Z x = block(x) 2025-08-26T20:52:22.6626949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6627324Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6627690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-26T20:52:22.6628097Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-26T20:52:22.6628271Z 2025-08-26T20:52:22.6628386Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6628786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6629161Z return mod(*inputs) 2025-08-26T20:52:22.6629492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6629847Z x = self.forward_features(x) 2025-08-26T20:52:22.6630248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6630815Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6631173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6631542Z x = block(x) 2025-08-26T20:52:22.6631854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6632235Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6632604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6633052Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6633361Z 2025-08-26T20:52:22.6633477Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6633884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6634252Z return mod(*inputs) 2025-08-26T20:52:22.6634572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6634932Z x = self.forward_features(x) 2025-08-26T20:52:22.6635308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6635693Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6636051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6636423Z x = block(x) 2025-08-26T20:52:22.6636734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6637114Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6637491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6637929Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6638163Z 2025-08-26T20:52:22.6638281Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6638686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6639048Z return mod(*inputs) 2025-08-26T20:52:22.6639376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6639725Z x = self.forward_features(x) 2025-08-26T20:52:22.6640099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6640482Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6640844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6641204Z x = block(x) 2025-08-26T20:52:22.6641557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6641941Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6642319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6642759Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6642987Z 2025-08-26T20:52:22.6643113Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6643364Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6643631Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6644033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6644392Z return mod(*inputs) 2025-08-26T20:52:22.6644720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6645104Z x = self.forward_features(x) 2025-08-26T20:52:22.6645477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6645860Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6646213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6646587Z x = block(x) 2025-08-26T20:52:22.6646981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6647365Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6647735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6648096Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6648286Z 2025-08-26T20:52:22.6648402Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6648812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6649182Z return mod(*inputs) 2025-08-26T20:52:22.6649500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6649857Z x = self.forward_features(x) 2025-08-26T20:52:22.6650238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6650637Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6650992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6651377Z x = block(x) 2025-08-26T20:52:22.6651691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6652068Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6652436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6652797Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6652956Z 2025-08-26T20:52:22.6653074Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6653476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6653842Z return mod(*inputs) 2025-08-26T20:52:22.6654164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6654520Z x = self.forward_features(x) 2025-08-26T20:52:22.6654914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6655302Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6655654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6656022Z x = block(x) 2025-08-26T20:52:22.6656343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6656773Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6657157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6657494Z x = self.fc1(x) 2025-08-26T20:52:22.6657611Z 2025-08-26T20:52:22.6657726Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6658155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6658521Z return mod(*inputs) 2025-08-26T20:52:22.6658853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6659221Z x = self.forward_features(x) 2025-08-26T20:52:22.6659603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6659990Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6660391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6660767Z x = block(x) 2025-08-26T20:52:22.6661087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6661478Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6661857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6662216Z x = self.act(x) 2025-08-26T20:52:22.6662331Z 2025-08-26T20:52:22.6662447Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6662850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6663250Z return mod(*inputs) 2025-08-26T20:52:22.6663583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6663940Z x = self.forward_features(x) 2025-08-26T20:52:22.6664315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6664696Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6665057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6665428Z x = block(x) 2025-08-26T20:52:22.6665743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6666121Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6666495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6666837Z x = self.fc2(x) 2025-08-26T20:52:22.6666945Z 2025-08-26T20:52:22.6667064Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6667474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6667836Z return mod(*inputs) 2025-08-26T20:52:22.6668165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6668511Z x = self.forward_features(x) 2025-08-26T20:52:22.6668885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6669267Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6669632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6669995Z x = block(x) 2025-08-26T20:52:22.6670298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6670677Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6671051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-26T20:52:22.6671454Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-26T20:52:22.6671641Z 2025-08-26T20:52:22.6671784Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6672190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6672564Z return mod(*inputs) 2025-08-26T20:52:22.6672889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6673265Z x = self.forward_features(x) 2025-08-26T20:52:22.6673636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6674025Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6674390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6674760Z x = block(x) 2025-08-26T20:52:22.6675066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6675470Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6675845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-26T20:52:22.6676207Z attn = self.attn(attn).reshape( 2025-08-26T20:52:22.6676352Z 2025-08-26T20:52:22.6676477Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6676878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6677244Z return mod(*inputs) 2025-08-26T20:52:22.6677572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6677928Z x = self.forward_features(x) 2025-08-26T20:52:22.6678294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6678704Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6679065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6679432Z x = block(x) 2025-08-26T20:52:22.6679739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6680108Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6680481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-26T20:52:22.6680854Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-26T20:52:22.6681017Z 2025-08-26T20:52:22.6681141Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6681534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6681899Z return mod(*inputs) 2025-08-26T20:52:22.6682223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6682577Z x = self.forward_features(x) 2025-08-26T20:52:22.6682953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6683331Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6683697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6684062Z x = block(x) 2025-08-26T20:52:22.6684373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6684739Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6685112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6685548Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6685777Z 2025-08-26T20:52:22.6685901Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6686352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6686709Z return mod(*inputs) 2025-08-26T20:52:22.6687137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6687501Z x = self.forward_features(x) 2025-08-26T20:52:22.6687876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6688293Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6688661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6689030Z x = block(x) 2025-08-26T20:52:22.6689343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6689723Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6690090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6690598Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6690836Z 2025-08-26T20:52:22.6690951Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6691359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6691724Z return mod(*inputs) 2025-08-26T20:52:22.6692044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6692400Z x = self.forward_features(x) 2025-08-26T20:52:22.6692779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6693190Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6693547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6693933Z x = block(x) 2025-08-26T20:52:22.6694247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6694620Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6694990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6695420Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6695652Z 2025-08-26T20:52:22.6695743Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6695986Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6696254Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6696656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6697020Z return mod(*inputs) 2025-08-26T20:52:22.6697353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6697723Z x = self.forward_features(x) 2025-08-26T20:52:22.6698097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6698471Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6698840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6699214Z x = block(x) 2025-08-26T20:52:22.6699533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6699920Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6700292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6700657Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6700806Z 2025-08-26T20:52:22.6700932Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6701362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6701720Z return mod(*inputs) 2025-08-26T20:52:22.6702057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6702425Z x = self.forward_features(x) 2025-08-26T20:52:22.6702800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6703207Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6703578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6703954Z x = block(x) 2025-08-26T20:52:22.6704272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6704642Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6705017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6705405Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6705552Z 2025-08-26T20:52:22.6705675Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6706079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6706433Z return mod(*inputs) 2025-08-26T20:52:22.6706759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6707116Z x = self.forward_features(x) 2025-08-26T20:52:22.6707487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6707868Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6708246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6708619Z x = block(x) 2025-08-26T20:52:22.6708932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6709308Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6709671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6710009Z x = self.fc1(x) 2025-08-26T20:52:22.6710123Z 2025-08-26T20:52:22.6710237Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6710637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6710987Z return mod(*inputs) 2025-08-26T20:52:22.6711304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6711657Z x = self.forward_features(x) 2025-08-26T20:52:22.6712026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6712408Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6712758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6713116Z x = block(x) 2025-08-26T20:52:22.6713423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6713793Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6714154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6714494Z x = self.act(x) 2025-08-26T20:52:22.6714605Z 2025-08-26T20:52:22.6714719Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6715118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6715479Z return mod(*inputs) 2025-08-26T20:52:22.6715795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6716145Z x = self.forward_features(x) 2025-08-26T20:52:22.6716550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6716940Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6717293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6717660Z x = block(x) 2025-08-26T20:52:22.6717989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6718372Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6718746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6719091Z x = self.fc2(x) 2025-08-26T20:52:22.6719205Z 2025-08-26T20:52:22.6719321Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6719725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6720123Z return mod(*inputs) 2025-08-26T20:52:22.6720440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6720793Z x = self.forward_features(x) 2025-08-26T20:52:22.6721180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6721568Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6721934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6722294Z x = block(x) 2025-08-26T20:52:22.6722610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6723023Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6723401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-26T20:52:22.6723804Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-26T20:52:22.6724002Z 2025-08-26T20:52:22.6724120Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6724525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6724890Z return mod(*inputs) 2025-08-26T20:52:22.6725228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6725576Z x = self.forward_features(x) 2025-08-26T20:52:22.6725954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6726339Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6726706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6727155Z x = block(x) 2025-08-26T20:52:22.6727480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6727859Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6728233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-26T20:52:22.6728593Z attn = self.attn(attn).reshape( 2025-08-26T20:52:22.6728738Z 2025-08-26T20:52:22.6728854Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6729259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6729653Z return mod(*inputs) 2025-08-26T20:52:22.6729980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6730326Z x = self.forward_features(x) 2025-08-26T20:52:22.6730960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6731377Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6731803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6732189Z x = block(x) 2025-08-26T20:52:22.6732501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6732880Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6733290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-26T20:52:22.6733679Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-26T20:52:22.6733839Z 2025-08-26T20:52:22.6733953Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6734362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6734727Z return mod(*inputs) 2025-08-26T20:52:22.6735056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6735445Z x = self.forward_features(x) 2025-08-26T20:52:22.6735812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6736199Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6736577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6736995Z x = block(x) 2025-08-26T20:52:22.6737300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6737676Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6738045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6738590Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6738848Z 2025-08-26T20:52:22.6738971Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6739365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6739754Z return mod(*inputs) 2025-08-26T20:52:22.6740079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6740449Z x = self.forward_features(x) 2025-08-26T20:52:22.6740821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6741210Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6741599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6741987Z x = block(x) 2025-08-26T20:52:22.6742300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6742667Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6743046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6743514Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6743763Z 2025-08-26T20:52:22.6743886Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6744299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6744666Z return mod(*inputs) 2025-08-26T20:52:22.6744990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6745343Z x = self.forward_features(x) 2025-08-26T20:52:22.6745713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6746091Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6746463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6746824Z x = block(x) 2025-08-26T20:52:22.6747153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6747532Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6747898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-26T20:52:22.6748360Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-26T20:52:22.6748596Z 2025-08-26T20:52:22.6748690Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6748938Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6749203Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6749610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6749972Z return mod(*inputs) 2025-08-26T20:52:22.6750323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6750678Z x = self.forward_features(x) 2025-08-26T20:52:22.6751053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6751436Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6751806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6752175Z x = block(x) 2025-08-26T20:52:22.6752480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6752858Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6753235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6753616Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6753765Z 2025-08-26T20:52:22.6753890Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6754287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6754650Z return mod(*inputs) 2025-08-26T20:52:22.6754976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6755335Z x = self.forward_features(x) 2025-08-26T20:52:22.6755702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6756083Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6756444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6756808Z x = block(x) 2025-08-26T20:52:22.6757114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-26T20:52:22.6757503Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6757890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-26T20:52:22.6758264Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-26T20:52:22.6758412Z 2025-08-26T20:52:22.6758849Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6759241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6759609Z return mod(*inputs) 2025-08-26T20:52:22.6759948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6760325Z x = self.forward_features(x) 2025-08-26T20:52:22.6760697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6761076Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6761451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6761829Z x = block(x) 2025-08-26T20:52:22.6762176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6762552Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6762929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6763271Z x = self.fc1(x) 2025-08-26T20:52:22.6763378Z 2025-08-26T20:52:22.6763520Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6763924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6764280Z return mod(*inputs) 2025-08-26T20:52:22.6764616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6764986Z x = self.forward_features(x) 2025-08-26T20:52:22.6765366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6765766Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6766142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6766520Z x = block(x) 2025-08-26T20:52:22.6766917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6767306Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6767680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6768029Z x = self.act(x) 2025-08-26T20:52:22.6768137Z 2025-08-26T20:52:22.6768265Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6768674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6769061Z return mod(*inputs) 2025-08-26T20:52:22.6769392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6769753Z x = self.forward_features(x) 2025-08-26T20:52:22.6770126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6770504Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6770856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6771226Z x = block(x) 2025-08-26T20:52:22.6771539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6771911Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6772270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6772619Z x = self.fc2(x) 2025-08-26T20:52:22.6772731Z 2025-08-26T20:52:22.6772845Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6773247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6773598Z return mod(*inputs) 2025-08-26T20:52:22.6773920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6774271Z x = self.forward_features(x) 2025-08-26T20:52:22.6774642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6775023Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6775376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6775738Z x = block(x) 2025-08-26T20:52:22.6776048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-26T20:52:22.6776434Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6776596Z 2025-08-26T20:52:22.6776711Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6777133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6777500Z return mod(*inputs) 2025-08-26T20:52:22.6777829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6778184Z x = self.forward_features(x) 2025-08-26T20:52:22.6778578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6778962Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6779323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6779686Z x = block(x) 2025-08-26T20:52:22.6779993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-26T20:52:22.6780347Z x = self.proj(x) # B, C, H, W 2025-08-26T20:52:22.6780516Z 2025-08-26T20:52:22.6780631Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6781031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6781393Z return mod(*inputs) 2025-08-26T20:52:22.6781708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6782060Z x = self.forward_features(x) 2025-08-26T20:52:22.6782430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6782809Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6783159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6783553Z x = block(x) 2025-08-26T20:52:22.6783869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6784255Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6784635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6785095Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6785347Z 2025-08-26T20:52:22.6785443Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6785712Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6786122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6786481Z return mod(*inputs) 2025-08-26T20:52:22.6786810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6787166Z x = self.forward_features(x) 2025-08-26T20:52:22.6787543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6787941Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6788297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6788665Z x = block(x) 2025-08-26T20:52:22.6788974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6789348Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6789716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6790080Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6790239Z 2025-08-26T20:52:22.6790355Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6790763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6791130Z return mod(*inputs) 2025-08-26T20:52:22.6791455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6791812Z x = self.forward_features(x) 2025-08-26T20:52:22.6792213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6792606Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6792962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6793333Z x = block(x) 2025-08-26T20:52:22.6793671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6794049Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6794420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6794756Z x = self.proj(x) 2025-08-26T20:52:22.6794877Z 2025-08-26T20:52:22.6794991Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6796431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6796811Z return mod(*inputs) 2025-08-26T20:52:22.6797130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6797490Z x = self.forward_features(x) 2025-08-26T20:52:22.6797871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6798268Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6798641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6799010Z x = block(x) 2025-08-26T20:52:22.6799334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6799757Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6800135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6800484Z x = self.fc1(x) 2025-08-26T20:52:22.6800603Z 2025-08-26T20:52:22.6800719Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6801123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6801502Z return mod(*inputs) 2025-08-26T20:52:22.6801834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6802197Z x = self.forward_features(x) 2025-08-26T20:52:22.6802582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6802982Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6819335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6819779Z x = block(x) 2025-08-26T20:52:22.6820125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6820539Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6820936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6821295Z x = self.act(x) 2025-08-26T20:52:22.6821414Z 2025-08-26T20:52:22.6821556Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6821983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6822351Z return mod(*inputs) 2025-08-26T20:52:22.6822696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6823069Z x = self.forward_features(x) 2025-08-26T20:52:22.6823464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6823851Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6824332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6824713Z x = block(x) 2025-08-26T20:52:22.6825039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6825431Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6825809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6826207Z x = self.fc2(x) 2025-08-26T20:52:22.6826326Z 2025-08-26T20:52:22.6826463Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6826895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6827250Z return mod(*inputs) 2025-08-26T20:52:22.6827585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6827984Z x = self.forward_features(x) 2025-08-26T20:52:22.6828369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6828760Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6829119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6829486Z x = block(x) 2025-08-26T20:52:22.6829801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6830187Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6830819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6831298Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6831640Z 2025-08-26T20:52:22.6831739Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6832017Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6832428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6832789Z return mod(*inputs) 2025-08-26T20:52:22.6833123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6833482Z x = self.forward_features(x) 2025-08-26T20:52:22.6833866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6834249Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6834613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6834989Z x = block(x) 2025-08-26T20:52:22.6835301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6835680Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6836048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6836413Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6836563Z 2025-08-26T20:52:22.6836687Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6837091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6837446Z return mod(*inputs) 2025-08-26T20:52:22.6837773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6838130Z x = self.forward_features(x) 2025-08-26T20:52:22.6838501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6838887Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6839238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6839616Z x = block(x) 2025-08-26T20:52:22.6839977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6840373Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6840756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6841122Z x = self.proj(x) 2025-08-26T20:52:22.6841245Z 2025-08-26T20:52:22.6841391Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6841805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6842185Z return mod(*inputs) 2025-08-26T20:52:22.6842513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6842882Z x = self.forward_features(x) 2025-08-26T20:52:22.6843265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6843683Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6844048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6844419Z x = block(x) 2025-08-26T20:52:22.6844731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6845119Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6845283Z 2025-08-26T20:52:22.6845397Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6845811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6846174Z return mod(*inputs) 2025-08-26T20:52:22.6846508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6846974Z x = self.forward_features(x) 2025-08-26T20:52:22.6847360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6847751Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6848113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6848490Z x = block(x) 2025-08-26T20:52:22.6848804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6849190Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6849567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6849913Z x = self.fc1(x) 2025-08-26T20:52:22.6850021Z 2025-08-26T20:52:22.6850137Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6850545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6850920Z return mod(*inputs) 2025-08-26T20:52:22.6851246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6851601Z x = self.forward_features(x) 2025-08-26T20:52:22.6851966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6852351Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6852713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6853093Z x = block(x) 2025-08-26T20:52:22.6853397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6853775Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6854147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6854494Z x = self.act(x) 2025-08-26T20:52:22.6854599Z 2025-08-26T20:52:22.6854725Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6855149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6855516Z return mod(*inputs) 2025-08-26T20:52:22.6855846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6856206Z x = self.forward_features(x) 2025-08-26T20:52:22.6856598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6856989Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6857349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6857730Z x = block(x) 2025-08-26T20:52:22.6858035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6858420Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6858811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6859154Z x = self.fc2(x) 2025-08-26T20:52:22.6859260Z 2025-08-26T20:52:22.6859383Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6859779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6860142Z return mod(*inputs) 2025-08-26T20:52:22.6860466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6860823Z x = self.forward_features(x) 2025-08-26T20:52:22.6861191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6861575Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6861954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6862317Z x = block(x) 2025-08-26T20:52:22.6862627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6862997Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6863369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6863822Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6864061Z 2025-08-26T20:52:22.6864167Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6864438Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6864831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6865197Z return mod(*inputs) 2025-08-26T20:52:22.6865521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6865873Z x = self.forward_features(x) 2025-08-26T20:52:22.6866240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6866625Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6866981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6867339Z x = block(x) 2025-08-26T20:52:22.6867644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6868020Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6868386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6868745Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6868898Z 2025-08-26T20:52:22.6869019Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6869242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6869319Z return mod(*inputs) 2025-08-26T20:52:22.6869551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6869637Z x = self.forward_features(x) 2025-08-26T20:52:22.6869885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6869965Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6870219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6870299Z x = block(x) 2025-08-26T20:52:22.6870506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6870618Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6870824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6870940Z x = self.proj(x) 2025-08-26T20:52:22.6870944Z 2025-08-26T20:52:22.6871060Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6871284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6871367Z return mod(*inputs) 2025-08-26T20:52:22.6871568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6871654Z x = self.forward_features(x) 2025-08-26T20:52:22.6871889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6871968Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6872203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6872292Z x = block(x) 2025-08-26T20:52:22.6872505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6872611Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6872817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6872895Z x = self.fc1(x) 2025-08-26T20:52:22.6872899Z 2025-08-26T20:52:22.6873015Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6873246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6873322Z return mod(*inputs) 2025-08-26T20:52:22.6873528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6873619Z x = self.forward_features(x) 2025-08-26T20:52:22.6873858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6873946Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6874176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6874245Z x = block(x) 2025-08-26T20:52:22.6874462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6874567Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6874781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6874851Z x = self.act(x) 2025-08-26T20:52:22.6874856Z 2025-08-26T20:52:22.6874977Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6875202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6875275Z return mod(*inputs) 2025-08-26T20:52:22.6875487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6875567Z x = self.forward_features(x) 2025-08-26T20:52:22.6875814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6875932Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6876160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6876234Z x = block(x) 2025-08-26T20:52:22.6876437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6876562Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6876766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6876837Z x = self.fc2(x) 2025-08-26T20:52:22.6876841Z 2025-08-26T20:52:22.6876965Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6877188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6877287Z return mod(*inputs) 2025-08-26T20:52:22.6877498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6877578Z x = self.forward_features(x) 2025-08-26T20:52:22.6877824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6877901Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6878146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6878214Z x = block(x) 2025-08-26T20:52:22.6878431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6878533Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6878739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6878947Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6878953Z 2025-08-26T20:52:22.6879051Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6879173Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6879393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6879467Z return mod(*inputs) 2025-08-26T20:52:22.6879685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6879764Z x = self.forward_features(x) 2025-08-26T20:52:22.6880003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6880080Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6880316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6880394Z x = block(x) 2025-08-26T20:52:22.6880611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6880722Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6880924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6881013Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6881024Z 2025-08-26T20:52:22.6881137Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6881369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6881451Z return mod(*inputs) 2025-08-26T20:52:22.6881655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6881742Z x = self.forward_features(x) 2025-08-26T20:52:22.6881977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6882060Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6882315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6882385Z x = block(x) 2025-08-26T20:52:22.6882609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6882710Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6882944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6883025Z x = self.proj(x) 2025-08-26T20:52:22.6883029Z 2025-08-26T20:52:22.6883142Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6883375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6883452Z return mod(*inputs) 2025-08-26T20:52:22.6883665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6883774Z x = self.forward_features(x) 2025-08-26T20:52:22.6884015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6884101Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6884339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6884406Z x = block(x) 2025-08-26T20:52:22.6884628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6884729Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6884733Z 2025-08-26T20:52:22.6884854Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6885087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6885189Z return mod(*inputs) 2025-08-26T20:52:22.6885406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6885487Z x = self.forward_features(x) 2025-08-26T20:52:22.6885730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6885812Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6886053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6886122Z x = block(x) 2025-08-26T20:52:22.6886336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6886447Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6886649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6886807Z x = self.fc1(x) 2025-08-26T20:52:22.6886814Z 2025-08-26T20:52:22.6886942Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6887178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6887262Z return mod(*inputs) 2025-08-26T20:52:22.6887480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6887571Z x = self.forward_features(x) 2025-08-26T20:52:22.6887809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6887890Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6888126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6888195Z x = block(x) 2025-08-26T20:52:22.6888412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6888516Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6888730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6888803Z x = self.act(x) 2025-08-26T20:52:22.6888829Z 2025-08-26T20:52:22.6888945Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6889180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6889256Z return mod(*inputs) 2025-08-26T20:52:22.6889503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6889584Z x = self.forward_features(x) 2025-08-26T20:52:22.6889822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6889908Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6890149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6890227Z x = block(x) 2025-08-26T20:52:22.6890448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6890553Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6890759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6890830Z x = self.fc2(x) 2025-08-26T20:52:22.6890833Z 2025-08-26T20:52:22.6890954Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6891172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6891246Z return mod(*inputs) 2025-08-26T20:52:22.6891454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6891533Z x = self.forward_features(x) 2025-08-26T20:52:22.6891792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6891870Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6892099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6892174Z x = block(x) 2025-08-26T20:52:22.6892379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6892488Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6892693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6892880Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6892883Z 2025-08-26T20:52:22.6892976Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6893089Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6893315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6893391Z return mod(*inputs) 2025-08-26T20:52:22.6893603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6893682Z x = self.forward_features(x) 2025-08-26T20:52:22.6893917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6894002Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6894231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6894303Z x = block(x) 2025-08-26T20:52:22.6894505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6894604Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6894811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6894902Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6894907Z 2025-08-26T20:52:22.6895025Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6895263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6895345Z return mod(*inputs) 2025-08-26T20:52:22.6895547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6895626Z x = self.forward_features(x) 2025-08-26T20:52:22.6895898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6895977Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6896215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6896284Z x = block(x) 2025-08-26T20:52:22.6896497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6896606Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6896831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6896908Z x = self.proj(x) 2025-08-26T20:52:22.6896912Z 2025-08-26T20:52:22.6897031Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6897260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6897334Z return mod(*inputs) 2025-08-26T20:52:22.6897547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6897626Z x = self.forward_features(x) 2025-08-26T20:52:22.6897859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6897963Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6898195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6898273Z x = block(x) 2025-08-26T20:52:22.6898479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6898581Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6898792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6898862Z x = self.fc1(x) 2025-08-26T20:52:22.6898865Z 2025-08-26T20:52:22.6898986Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6899210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6899284Z return mod(*inputs) 2025-08-26T20:52:22.6899500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6899581Z x = self.forward_features(x) 2025-08-26T20:52:22.6899824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6899904Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6900134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6900208Z x = block(x) 2025-08-26T20:52:22.6900412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6900520Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6900725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6900795Z x = self.act(x) 2025-08-26T20:52:22.6900807Z 2025-08-26T20:52:22.6900922Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6901144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6901226Z return mod(*inputs) 2025-08-26T20:52:22.6901432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6901537Z x = self.forward_features(x) 2025-08-26T20:52:22.6901775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6901851Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6902092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6902176Z x = block(x) 2025-08-26T20:52:22.6902386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6902484Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6902685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6902766Z x = self.fc2(x) 2025-08-26T20:52:22.6902769Z 2025-08-26T20:52:22.6902884Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6903130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6903203Z return mod(*inputs) 2025-08-26T20:52:22.6903405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6903492Z x = self.forward_features(x) 2025-08-26T20:52:22.6903729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6903814Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6904043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6904111Z x = block(x) 2025-08-26T20:52:22.6904321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6904442Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6904656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6904831Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6904835Z 2025-08-26T20:52:22.6904933Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6905047Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6905271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6905352Z return mod(*inputs) 2025-08-26T20:52:22.6905554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6905639Z x = self.forward_features(x) 2025-08-26T20:52:22.6905873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6905950Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6906184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6906253Z x = block(x) 2025-08-26T20:52:22.6906468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6906569Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6906771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6906866Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6906870Z 2025-08-26T20:52:22.6906981Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6907203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6907275Z return mod(*inputs) 2025-08-26T20:52:22.6907479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6907564Z x = self.forward_features(x) 2025-08-26T20:52:22.6907816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6907900Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6908131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6908205Z x = block(x) 2025-08-26T20:52:22.6908444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6908547Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6908760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6908833Z x = self.proj(x) 2025-08-26T20:52:22.6908837Z 2025-08-26T20:52:22.6908957Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6909178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6909280Z return mod(*inputs) 2025-08-26T20:52:22.6909498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6909576Z x = self.forward_features(x) 2025-08-26T20:52:22.6909819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6909897Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6910129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6910206Z x = block(x) 2025-08-26T20:52:22.6910415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6910525Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6910547Z 2025-08-26T20:52:22.6910660Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6910876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6910960Z return mod(*inputs) 2025-08-26T20:52:22.6911164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6911254Z x = self.forward_features(x) 2025-08-26T20:52:22.6911490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6911574Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6911804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6911871Z x = block(x) 2025-08-26T20:52:22.6912081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6912185Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6912392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6912464Z x = self.fc1(x) 2025-08-26T20:52:22.6912467Z 2025-08-26T20:52:22.6912581Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6912806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6912880Z return mod(*inputs) 2025-08-26T20:52:22.6913091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6913172Z x = self.forward_features(x) 2025-08-26T20:52:22.6913406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6913492Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6913720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6913796Z x = block(x) 2025-08-26T20:52:22.6913999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6914123Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6914330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6914399Z x = self.act(x) 2025-08-26T20:52:22.6914402Z 2025-08-26T20:52:22.6914522Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6914794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6914886Z return mod(*inputs) 2025-08-26T20:52:22.6915081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6915158Z x = self.forward_features(x) 2025-08-26T20:52:22.6915392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6915469Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6915718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6915786Z x = block(x) 2025-08-26T20:52:22.6915984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6916094Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6916296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6916376Z x = self.fc2(x) 2025-08-26T20:52:22.6916380Z 2025-08-26T20:52:22.6916497Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6916718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6916798Z return mod(*inputs) 2025-08-26T20:52:22.6917016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6917103Z x = self.forward_features(x) 2025-08-26T20:52:22.6917339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6917416Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6917651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6917718Z x = block(x) 2025-08-26T20:52:22.6917925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6918029Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6918227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6918412Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6918417Z 2025-08-26T20:52:22.6918508Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6918628Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6918855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6918935Z return mod(*inputs) 2025-08-26T20:52:22.6919149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6919225Z x = self.forward_features(x) 2025-08-26T20:52:22.6919461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6919535Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6919757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6919822Z x = block(x) 2025-08-26T20:52:22.6920017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6920122Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6920318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6920446Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6920451Z 2025-08-26T20:52:22.6920560Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6920775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6920853Z return mod(*inputs) 2025-08-26T20:52:22.6921077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6921164Z x = self.forward_features(x) 2025-08-26T20:52:22.6921395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6921470Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6921703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6921788Z x = block(x) 2025-08-26T20:52:22.6922011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6922114Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6922334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6922408Z x = self.proj(x) 2025-08-26T20:52:22.6922411Z 2025-08-26T20:52:22.6922525Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6922757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6922830Z return mod(*inputs) 2025-08-26T20:52:22.6923042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6923140Z x = self.forward_features(x) 2025-08-26T20:52:22.6923380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6923468Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6923708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6923782Z x = block(x) 2025-08-26T20:52:22.6923997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6924097Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6924318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6924389Z x = self.fc1(x) 2025-08-26T20:52:22.6924392Z 2025-08-26T20:52:22.6924511Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6924745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6924821Z return mod(*inputs) 2025-08-26T20:52:22.6925034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6925116Z x = self.forward_features(x) 2025-08-26T20:52:22.6925363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6925439Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6925688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6925757Z x = block(x) 2025-08-26T20:52:22.6925973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6926082Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6926283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6926362Z x = self.act(x) 2025-08-26T20:52:22.6926366Z 2025-08-26T20:52:22.6926479Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6926702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6926896Z return mod(*inputs) 2025-08-26T20:52:22.6927111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6927199Z x = self.forward_features(x) 2025-08-26T20:52:22.6927437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6927531Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6927775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6927844Z x = block(x) 2025-08-26T20:52:22.6928065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6928169Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6928374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6928472Z x = self.fc2(x) 2025-08-26T20:52:22.6928476Z 2025-08-26T20:52:22.6928602Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6928827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6928901Z return mod(*inputs) 2025-08-26T20:52:22.6929112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6929198Z x = self.forward_features(x) 2025-08-26T20:52:22.6929427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6929507Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6929739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6929831Z x = block(x) 2025-08-26T20:52:22.6930045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6930147Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6930355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6930785Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6930792Z 2025-08-26T20:52:22.6930895Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6931015Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6931236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6931320Z return mod(*inputs) 2025-08-26T20:52:22.6931523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6931610Z x = self.forward_features(x) 2025-08-26T20:52:22.6931845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6931927Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6932168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6932234Z x = block(x) 2025-08-26T20:52:22.6932454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6932568Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6932770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6932866Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6932871Z 2025-08-26T20:52:22.6932983Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6933202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6933284Z return mod(*inputs) 2025-08-26T20:52:22.6933550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6933640Z x = self.forward_features(x) 2025-08-26T20:52:22.6933877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6933956Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6934220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6934290Z x = block(x) 2025-08-26T20:52:22.6934503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6934605Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6934808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6934890Z x = self.proj(x) 2025-08-26T20:52:22.6934894Z 2025-08-26T20:52:22.6935052Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6935283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6935360Z return mod(*inputs) 2025-08-26T20:52:22.6935572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6935651Z x = self.forward_features(x) 2025-08-26T20:52:22.6935887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6935973Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6936204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6936278Z x = block(x) 2025-08-26T20:52:22.6936511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6936616Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6936621Z 2025-08-26T20:52:22.6936743Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6936960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6937040Z return mod(*inputs) 2025-08-26T20:52:22.6937239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6937317Z x = self.forward_features(x) 2025-08-26T20:52:22.6937560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6937635Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6937865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6937934Z x = block(x) 2025-08-26T20:52:22.6938132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6938243Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6938443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6938518Z x = self.fc1(x) 2025-08-26T20:52:22.6938522Z 2025-08-26T20:52:22.6938634Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6938854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6938928Z return mod(*inputs) 2025-08-26T20:52:22.6939128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6939215Z x = self.forward_features(x) 2025-08-26T20:52:22.6939447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6939532Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6939758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6939826Z x = block(x) 2025-08-26T20:52:22.6940057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6940161Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6940372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6940442Z x = self.act(x) 2025-08-26T20:52:22.6940445Z 2025-08-26T20:52:22.6940577Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6940805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6940879Z return mod(*inputs) 2025-08-26T20:52:22.6941089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6941169Z x = self.forward_features(x) 2025-08-26T20:52:22.6941405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6941509Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6941738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6941814Z x = block(x) 2025-08-26T20:52:22.6942027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6942131Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6942338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6942408Z x = self.fc2(x) 2025-08-26T20:52:22.6942411Z 2025-08-26T20:52:22.6942535Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6942785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6942867Z return mod(*inputs) 2025-08-26T20:52:22.6943072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6943154Z x = self.forward_features(x) 2025-08-26T20:52:22.6943395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6943473Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6943717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6943786Z x = block(x) 2025-08-26T20:52:22.6943999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6944110Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6944324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6944508Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6944514Z 2025-08-26T20:52:22.6944605Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6944723Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6944955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6945031Z return mod(*inputs) 2025-08-26T20:52:22.6945246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6945327Z x = self.forward_features(x) 2025-08-26T20:52:22.6945570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6945647Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6945885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6945961Z x = block(x) 2025-08-26T20:52:22.6946176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6946303Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6946514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6946603Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6946606Z 2025-08-26T20:52:22.6946728Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6946979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6947063Z return mod(*inputs) 2025-08-26T20:52:22.6947265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6947345Z x = self.forward_features(x) 2025-08-26T20:52:22.6947592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6947669Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6947934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6948001Z x = block(x) 2025-08-26T20:52:22.6948224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6948332Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6948547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6948627Z x = self.proj(x) 2025-08-26T20:52:22.6948631Z 2025-08-26T20:52:22.6948743Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6948983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6949078Z return mod(*inputs) 2025-08-26T20:52:22.6949291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6949382Z x = self.forward_features(x) 2025-08-26T20:52:22.6949617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6949705Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6949944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6950012Z x = block(x) 2025-08-26T20:52:22.6950230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6950334Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6950541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6950613Z x = self.fc1(x) 2025-08-26T20:52:22.6950618Z 2025-08-26T20:52:22.6950732Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6950972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6951049Z return mod(*inputs) 2025-08-26T20:52:22.6951271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6951351Z x = self.forward_features(x) 2025-08-26T20:52:22.6951586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6951670Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6951908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6951985Z x = block(x) 2025-08-26T20:52:22.6952189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6952290Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6952499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6952571Z x = self.act(x) 2025-08-26T20:52:22.6952574Z 2025-08-26T20:52:22.6952715Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6952933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6953014Z return mod(*inputs) 2025-08-26T20:52:22.6953216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6953298Z x = self.forward_features(x) 2025-08-26T20:52:22.6953558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6953637Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6953873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6953943Z x = block(x) 2025-08-26T20:52:22.6954152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6954282Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6954487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6954564Z x = self.fc2(x) 2025-08-26T20:52:22.6954568Z 2025-08-26T20:52:22.6954683Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6954904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6954987Z return mod(*inputs) 2025-08-26T20:52:22.6955193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6955281Z x = self.forward_features(x) 2025-08-26T20:52:22.6955514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6955612Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6955854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6955924Z x = block(x) 2025-08-26T20:52:22.6956142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6956245Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6956448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6956633Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6956637Z 2025-08-26T20:52:22.6956727Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6956852Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6957075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6957157Z return mod(*inputs) 2025-08-26T20:52:22.6957364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6957445Z x = self.forward_features(x) 2025-08-26T20:52:22.6957696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6957774Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6958014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6958082Z x = block(x) 2025-08-26T20:52:22.6958290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6958399Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6958604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6958700Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6958704Z 2025-08-26T20:52:22.6958818Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6959063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6959147Z return mod(*inputs) 2025-08-26T20:52:22.6959360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6959446Z x = self.forward_features(x) 2025-08-26T20:52:22.6959695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6959796Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6960026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6960095Z x = block(x) 2025-08-26T20:52:22.6960305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6960407Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6960618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6960713Z x = self.proj(x) 2025-08-26T20:52:22.6960717Z 2025-08-26T20:52:22.6960830Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6961056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6961130Z return mod(*inputs) 2025-08-26T20:52:22.6961339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6961419Z x = self.forward_features(x) 2025-08-26T20:52:22.6961654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6961738Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6961982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6962060Z x = block(x) 2025-08-26T20:52:22.6962267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6962371Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6962375Z 2025-08-26T20:52:22.6962500Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6962727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6962813Z return mod(*inputs) 2025-08-26T20:52:22.6963022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6963111Z x = self.forward_features(x) 2025-08-26T20:52:22.6963353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6963436Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6963675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6963749Z x = block(x) 2025-08-26T20:52:22.6963966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6964070Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6964274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6964355Z x = self.fc1(x) 2025-08-26T20:52:22.6964359Z 2025-08-26T20:52:22.6964477Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6964706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6964784Z return mod(*inputs) 2025-08-26T20:52:22.6964988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6965079Z x = self.forward_features(x) 2025-08-26T20:52:22.6965315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6965403Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6965654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6965722Z x = block(x) 2025-08-26T20:52:22.6965934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6966034Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6966258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6966330Z x = self.act(x) 2025-08-26T20:52:22.6966334Z 2025-08-26T20:52:22.6966448Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6966678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6966838Z return mod(*inputs) 2025-08-26T20:52:22.6967064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6967178Z x = self.forward_features(x) 2025-08-26T20:52:22.6967423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6967502Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6967732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6967808Z x = block(x) 2025-08-26T20:52:22.6968012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6968120Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6968323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6968414Z x = self.fc2(x) 2025-08-26T20:52:22.6968418Z 2025-08-26T20:52:22.6968542Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6968764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6968848Z return mod(*inputs) 2025-08-26T20:52:22.6969055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6969136Z x = self.forward_features(x) 2025-08-26T20:52:22.6969381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6969462Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6969700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6969767Z x = block(x) 2025-08-26T20:52:22.6969973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6970083Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6970286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6970469Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6970473Z 2025-08-26T20:52:22.6970566Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6970689Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6970911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6970985Z return mod(*inputs) 2025-08-26T20:52:22.6971200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6971280Z x = self.forward_features(x) 2025-08-26T20:52:22.6971523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6971602Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6971833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6971911Z x = block(x) 2025-08-26T20:52:22.6972138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6972249Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6972450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6972539Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6972562Z 2025-08-26T20:52:22.6972687Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6972907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6972990Z return mod(*inputs) 2025-08-26T20:52:22.6973194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6973273Z x = self.forward_features(x) 2025-08-26T20:52:22.6973538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6973617Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6973852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6973918Z x = block(x) 2025-08-26T20:52:22.6974131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6974233Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6974436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6974514Z x = self.proj(x) 2025-08-26T20:52:22.6974518Z 2025-08-26T20:52:22.6974632Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6974881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6974957Z return mod(*inputs) 2025-08-26T20:52:22.6975161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6975248Z x = self.forward_features(x) 2025-08-26T20:52:22.6975481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6975564Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6975793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6975859Z x = block(x) 2025-08-26T20:52:22.6976068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6976168Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6976378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6976448Z x = self.fc1(x) 2025-08-26T20:52:22.6976453Z 2025-08-26T20:52:22.6976565Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6976795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6976869Z return mod(*inputs) 2025-08-26T20:52:22.6977078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6977158Z x = self.forward_features(x) 2025-08-26T20:52:22.6977391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6977477Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6977702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6977776Z x = block(x) 2025-08-26T20:52:22.6977981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6978089Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6978314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6978387Z x = self.act(x) 2025-08-26T20:52:22.6978390Z 2025-08-26T20:52:22.6978512Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6978732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6978811Z return mod(*inputs) 2025-08-26T20:52:22.6979034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6979115Z x = self.forward_features(x) 2025-08-26T20:52:22.6979359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6979438Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6979672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6979759Z x = block(x) 2025-08-26T20:52:22.6979963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6980073Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6980272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6980350Z x = self.fc2(x) 2025-08-26T20:52:22.6980353Z 2025-08-26T20:52:22.6980469Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6980689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6980769Z return mod(*inputs) 2025-08-26T20:52:22.6980973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6981080Z x = self.forward_features(x) 2025-08-26T20:52:22.6981315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6981401Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6981632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6981699Z x = block(x) 2025-08-26T20:52:22.6981910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6982012Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6982223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6982398Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6982402Z 2025-08-26T20:52:22.6982494Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6982618Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6982842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6982925Z return mod(*inputs) 2025-08-26T20:52:22.6983145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6983224Z x = self.forward_features(x) 2025-08-26T20:52:22.6983466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6983542Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6983780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6983848Z x = block(x) 2025-08-26T20:52:22.6984053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6984161Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6984366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6984461Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6984465Z 2025-08-26T20:52:22.6984596Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6984824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6984898Z return mod(*inputs) 2025-08-26T20:52:22.6985114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6985236Z x = self.forward_features(x) 2025-08-26T20:52:22.6985478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6985564Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6985805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6985874Z x = block(x) 2025-08-26T20:52:22.6986090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6986216Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6986426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.6986498Z x = self.proj(x) 2025-08-26T20:52:22.6986502Z 2025-08-26T20:52:22.6986615Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6986854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6986927Z return mod(*inputs) 2025-08-26T20:52:22.6987147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6987225Z x = self.forward_features(x) 2025-08-26T20:52:22.6987459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6987564Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6987817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6987890Z x = block(x) 2025-08-26T20:52:22.6988093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6988198Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6988202Z 2025-08-26T20:52:22.6988314Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6988547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6988627Z return mod(*inputs) 2025-08-26T20:52:22.6988830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6988916Z x = self.forward_features(x) 2025-08-26T20:52:22.6989152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6989232Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6989468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6989535Z x = block(x) 2025-08-26T20:52:22.6989757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6989857Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6990061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.6990140Z x = self.fc1(x) 2025-08-26T20:52:22.6990143Z 2025-08-26T20:52:22.6990255Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6990485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6990560Z return mod(*inputs) 2025-08-26T20:52:22.6990763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6990851Z x = self.forward_features(x) 2025-08-26T20:52:22.6991112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6991199Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6991438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6991513Z x = block(x) 2025-08-26T20:52:22.6991751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6991854Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6992067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.6992137Z x = self.act(x) 2025-08-26T20:52:22.6992142Z 2025-08-26T20:52:22.6992261Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6992490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6992581Z return mod(*inputs) 2025-08-26T20:52:22.6992797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6992876Z x = self.forward_features(x) 2025-08-26T20:52:22.6993124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6993199Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6993433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6993506Z x = block(x) 2025-08-26T20:52:22.6993712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.6993845Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.6994043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.6994116Z x = self.fc2(x) 2025-08-26T20:52:22.6994119Z 2025-08-26T20:52:22.6994243Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6994461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6994540Z return mod(*inputs) 2025-08-26T20:52:22.6994742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6994822Z x = self.forward_features(x) 2025-08-26T20:52:22.6995064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6995140Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6995375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6995443Z x = block(x) 2025-08-26T20:52:22.6995652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6995755Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6995957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.6996139Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.6996143Z 2025-08-26T20:52:22.6996233Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.6996355Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6996577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6996652Z return mod(*inputs) 2025-08-26T20:52:22.6996861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6996943Z x = self.forward_features(x) 2025-08-26T20:52:22.6997185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6997263Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6997517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6997594Z x = block(x) 2025-08-26T20:52:22.6997796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6997906Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.6998126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.6998216Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.6998228Z 2025-08-26T20:52:22.6998344Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.6998565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.6998648Z return mod(*inputs) 2025-08-26T20:52:22.6998869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.6998958Z x = self.forward_features(x) 2025-08-26T20:52:22.6999195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.6999273Z x = self.forward_tokens(x) 2025-08-26T20:52:22.6999506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.6999578Z x = block(x) 2025-08-26T20:52:22.6999787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.6999887Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7000087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.7000190Z x = self.proj(x) 2025-08-26T20:52:22.7000194Z 2025-08-26T20:52:22.7000308Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7000537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7000612Z return mod(*inputs) 2025-08-26T20:52:22.7000813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7000898Z x = self.forward_features(x) 2025-08-26T20:52:22.7001133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7001215Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7001441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7001507Z x = block(x) 2025-08-26T20:52:22.7001717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.7001819Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.7002026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.7002098Z x = self.fc1(x) 2025-08-26T20:52:22.7002101Z 2025-08-26T20:52:22.7002222Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7002437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7002509Z return mod(*inputs) 2025-08-26T20:52:22.7002721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7002801Z x = self.forward_features(x) 2025-08-26T20:52:22.7003041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7003118Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7003357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7003431Z x = block(x) 2025-08-26T20:52:22.7003666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.7003776Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.7003986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.7004056Z x = self.act(x) 2025-08-26T20:52:22.7004060Z 2025-08-26T20:52:22.7004180Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7004428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7004513Z return mod(*inputs) 2025-08-26T20:52:22.7004727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7004809Z x = self.forward_features(x) 2025-08-26T20:52:22.7005054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7005153Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7005400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7005468Z x = block(x) 2025-08-26T20:52:22.7005688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.7005795Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.7006010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.7006088Z x = self.fc2(x) 2025-08-26T20:52:22.7006091Z 2025-08-26T20:52:22.7006205Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7006445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7006539Z return mod(*inputs) 2025-08-26T20:52:22.7006830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7006932Z x = self.forward_features(x) 2025-08-26T20:52:22.7007171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7007258Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7007499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7007568Z x = block(x) 2025-08-26T20:52:22.7007782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.7007885Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7008107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-26T20:52:22.7008284Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.7008288Z 2025-08-26T20:52:22.7008380Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.7008507Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7008747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7008831Z return mod(*inputs) 2025-08-26T20:52:22.7009047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7009134Z x = self.forward_features(x) 2025-08-26T20:52:22.7009371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7009450Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7009693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7009762Z x = block(x) 2025-08-26T20:52:22.7009973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.7010075Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7010304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-26T20:52:22.7010402Z x = F.scaled_dot_product_attention( 2025-08-26T20:52:22.7010407Z 2025-08-26T20:52:22.7010519Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7010757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7010866Z return mod(*inputs) 2025-08-26T20:52:22.7011072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7011159Z x = self.forward_features(x) 2025-08-26T20:52:22.7011394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7011480Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7011720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7011810Z x = block(x) 2025-08-26T20:52:22.7012025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.7012128Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7012348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-26T20:52:22.7012419Z x = self.proj(x) 2025-08-26T20:52:22.7012423Z 2025-08-26T20:52:22.7012547Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7012767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7012841Z return mod(*inputs) 2025-08-26T20:52:22.7013054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7013154Z x = self.forward_features(x) 2025-08-26T20:52:22.7013399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7013480Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7013711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7013786Z x = block(x) 2025-08-26T20:52:22.7013993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-26T20:52:22.7014102Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7014106Z 2025-08-26T20:52:22.7014219Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7014438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7014521Z return mod(*inputs) 2025-08-26T20:52:22.7014728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7014812Z x = self.forward_features(x) 2025-08-26T20:52:22.7015051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7015130Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7015369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7015436Z x = block(x) 2025-08-26T20:52:22.7015652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.7015752Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.7015958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.7016035Z x = self.fc1(x) 2025-08-26T20:52:22.7016038Z 2025-08-26T20:52:22.7016154Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7016384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7016459Z return mod(*inputs) 2025-08-26T20:52:22.7016737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7016818Z x = self.forward_features(x) 2025-08-26T20:52:22.7017052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7017137Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7017381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7017457Z x = block(x) 2025-08-26T20:52:22.7017665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.7017767Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.7017980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.7018050Z x = self.act(x) 2025-08-26T20:52:22.7018073Z 2025-08-26T20:52:22.7018196Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7018429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7018503Z return mod(*inputs) 2025-08-26T20:52:22.7018715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7018793Z x = self.forward_features(x) 2025-08-26T20:52:22.7019036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-26T20:52:22.7019113Z x = self.forward_tokens(x) 2025-08-26T20:52:22.7019344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-26T20:52:22.7019438Z x = block(x) 2025-08-26T20:52:22.7019643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-26T20:52:22.7019755Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-26T20:52:22.7019960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.7020029Z x = self.fc2(x) 2025-08-26T20:52:22.7020040Z 2025-08-26T20:52:22.7020130Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.7020244Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7020475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7020549Z return mod(*inputs) 2025-08-26T20:52:22.7020759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7020838Z x = self.forward_features(x) 2025-08-26T20:52:22.7021077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7021161Z x = self.forward_cls(x) 2025-08-26T20:52:22.7021385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-26T20:52:22.7021483Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-26T20:52:22.7021487Z 2025-08-26T20:52:22.7021601Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7021822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7021902Z return mod(*inputs) 2025-08-26T20:52:22.7022109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7022194Z x = self.forward_features(x) 2025-08-26T20:52:22.7022428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7022505Z x = self.forward_cls(x) 2025-08-26T20:52:22.7022741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7022810Z x = block(x) 2025-08-26T20:52:22.7023047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7023194Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7023400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-26T20:52:22.7023578Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.7023582Z 2025-08-26T20:52:22.7023712Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7023945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7024018Z return mod(*inputs) 2025-08-26T20:52:22.7024231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7024311Z x = self.forward_features(x) 2025-08-26T20:52:22.7024548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7024656Z x = self.forward_cls(x) 2025-08-26T20:52:22.7024876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7024963Z x = block(x) 2025-08-26T20:52:22.7025171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7025310Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7025516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-26T20:52:22.7025667Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-26T20:52:22.7025671Z 2025-08-26T20:52:22.7025809Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7026040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7026124Z return mod(*inputs) 2025-08-26T20:52:22.7026330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7026410Z x = self.forward_features(x) 2025-08-26T20:52:22.7026652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7026729Z x = self.forward_cls(x) 2025-08-26T20:52:22.7026972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7027040Z x = block(x) 2025-08-26T20:52:22.7027244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7027391Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7027596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-26T20:52:22.7027778Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-26T20:52:22.7027784Z 2025-08-26T20:52:22.7027897Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7028131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7028216Z return mod(*inputs) 2025-08-26T20:52:22.7028430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7028516Z x = self.forward_features(x) 2025-08-26T20:52:22.7028752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7028828Z x = self.forward_cls(x) 2025-08-26T20:52:22.7029062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7029130Z x = block(x) 2025-08-26T20:52:22.7029338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7029493Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7029703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-26T20:52:22.7029789Z cls_embed = self.proj(cls_embed) 2025-08-26T20:52:22.7029793Z 2025-08-26T20:52:22.7029906Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7030152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7030229Z return mod(*inputs) 2025-08-26T20:52:22.7030690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7030779Z x = self.forward_features(x) 2025-08-26T20:52:22.7031018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7031173Z x = self.forward_cls(x) 2025-08-26T20:52:22.7031414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7031490Z x = block(x) 2025-08-26T20:52:22.7031707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7031860Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7032075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.7032145Z x = self.fc1(x) 2025-08-26T20:52:22.7032149Z 2025-08-26T20:52:22.7032270Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7032492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7032608Z return mod(*inputs) 2025-08-26T20:52:22.7032813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7032904Z x = self.forward_features(x) 2025-08-26T20:52:22.7033150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7033226Z x = self.forward_cls(x) 2025-08-26T20:52:22.7033461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7033528Z x = block(x) 2025-08-26T20:52:22.7033727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7033883Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7034078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.7034156Z x = self.act(x) 2025-08-26T20:52:22.7034160Z 2025-08-26T20:52:22.7034273Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7034492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7034574Z return mod(*inputs) 2025-08-26T20:52:22.7034781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7034865Z x = self.forward_features(x) 2025-08-26T20:52:22.7035099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7035176Z x = self.forward_cls(x) 2025-08-26T20:52:22.7035408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7035477Z x = block(x) 2025-08-26T20:52:22.7035687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7035837Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7036036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.7036113Z x = self.fc2(x) 2025-08-26T20:52:22.7036151Z 2025-08-26T20:52:22.7036268Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7036492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7036566Z return mod(*inputs) 2025-08-26T20:52:22.7036777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7036885Z x = self.forward_features(x) 2025-08-26T20:52:22.7037121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7037204Z x = self.forward_cls(x) 2025-08-26T20:52:22.7037422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7037498Z x = block(x) 2025-08-26T20:52:22.7037699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7037868Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7037872Z 2025-08-26T20:52:22.7037971Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.7038083Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7038308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7038381Z return mod(*inputs) 2025-08-26T20:52:22.7038585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7038672Z x = self.forward_features(x) 2025-08-26T20:52:22.7038904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7039016Z x = self.forward_cls(x) 2025-08-26T20:52:22.7039232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7039302Z x = block(x) 2025-08-26T20:52:22.7039513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-26T20:52:22.7039621Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-26T20:52:22.7039625Z 2025-08-26T20:52:22.7039746Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7039964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7040044Z return mod(*inputs) 2025-08-26T20:52:22.7040247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7040325Z x = self.forward_features(x) 2025-08-26T20:52:22.7040566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7040644Z x = self.forward_cls(x) 2025-08-26T20:52:22.7040869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7040939Z x = block(x) 2025-08-26T20:52:22.7041142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7041289Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7041492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-26T20:52:22.7041666Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-26T20:52:22.7041670Z 2025-08-26T20:52:22.7041784Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7042004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7042089Z return mod(*inputs) 2025-08-26T20:52:22.7042291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7042381Z x = self.forward_features(x) 2025-08-26T20:52:22.7042634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7042720Z x = self.forward_cls(x) 2025-08-26T20:52:22.7042942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7043010Z x = block(x) 2025-08-26T20:52:22.7043242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7043379Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7043588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-26T20:52:22.7043740Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-26T20:52:22.7043744Z 2025-08-26T20:52:22.7043876Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7044122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7044197Z return mod(*inputs) 2025-08-26T20:52:22.7044409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7044490Z x = self.forward_features(x) 2025-08-26T20:52:22.7044730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7044814Z x = self.forward_cls(x) 2025-08-26T20:52:22.7045049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7045124Z x = block(x) 2025-08-26T20:52:22.7045340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7045501Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7045724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-26T20:52:22.7045897Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-26T20:52:22.7045901Z 2025-08-26T20:52:22.7046022Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7046252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7046334Z return mod(*inputs) 2025-08-26T20:52:22.7046548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7046626Z x = self.forward_features(x) 2025-08-26T20:52:22.7046949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7047034Z x = self.forward_cls(x) 2025-08-26T20:52:22.7047273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7047343Z x = block(x) 2025-08-26T20:52:22.7047555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-26T20:52:22.7047700Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-26T20:52:22.7047913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-26T20:52:22.7048008Z cls_embed = self.proj(cls_embed) 2025-08-26T20:52:22.7048012Z 2025-08-26T20:52:22.7048127Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7048355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7048429Z return mod(*inputs) 2025-08-26T20:52:22.7048641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7048729Z x = self.forward_features(x) 2025-08-26T20:52:22.7048976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7049086Z x = self.forward_cls(x) 2025-08-26T20:52:22.7049307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7049375Z x = block(x) 2025-08-26T20:52:22.7049591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7049756Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7049974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-26T20:52:22.7050044Z x = self.fc1(x) 2025-08-26T20:52:22.7050048Z 2025-08-26T20:52:22.7050161Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7050390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7050462Z return mod(*inputs) 2025-08-26T20:52:22.7050691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7050768Z x = self.forward_features(x) 2025-08-26T20:52:22.7051003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7051086Z x = self.forward_cls(x) 2025-08-26T20:52:22.7051314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7051387Z x = block(x) 2025-08-26T20:52:22.7051602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7051748Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7051976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-26T20:52:22.7052046Z x = self.act(x) 2025-08-26T20:52:22.7052051Z 2025-08-26T20:52:22.7052172Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7052399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7052480Z return mod(*inputs) 2025-08-26T20:52:22.7052681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7052757Z x = self.forward_features(x) 2025-08-26T20:52:22.7052999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7053076Z x = self.forward_cls(x) 2025-08-26T20:52:22.7053310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7053377Z x = block(x) 2025-08-26T20:52:22.7053592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7053746Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7053960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-26T20:52:22.7054038Z x = self.fc2(x) 2025-08-26T20:52:22.7054042Z 2025-08-26T20:52:22.7054155Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7054370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7054452Z return mod(*inputs) 2025-08-26T20:52:22.7054658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7054744Z x = self.forward_features(x) 2025-08-26T20:52:22.7054976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7055054Z x = self.forward_cls(x) 2025-08-26T20:52:22.7055280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7055350Z x = block(x) 2025-08-26T20:52:22.7055580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-26T20:52:22.7055727Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-26T20:52:22.7055731Z 2025-08-26T20:52:22.7055832Z cudagraph partition due to non gpu ops 2025-08-26T20:52:22.7055947Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7056181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7056266Z return mod(*inputs) 2025-08-26T20:52:22.7056473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-26T20:52:22.7056559Z x = self.forward_features(x) 2025-08-26T20:52:22.7056799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-26T20:52:22.7056898Z x = self.forward_cls(x) 2025-08-26T20:52:22.7057126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-26T20:52:22.7057195Z x = block(x) 2025-08-26T20:52:22.7057403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-26T20:52:22.7057510Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-26T20:52:22.7057514Z 2025-08-26T20:52:22.7057628Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7057855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7057928Z return mod(*inputs) 2025-08-26T20:52:22.7058139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-26T20:52:22.7058237Z x = self.forward_head(x) 2025-08-26T20:52:22.7058462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-26T20:52:22.7058556Z aux = self.aux_head(x[:, 1:]) 2025-08-26T20:52:22.7058560Z 2025-08-26T20:52:22.7058676Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7058900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7058973Z return mod(*inputs) 2025-08-26T20:52:22.7059183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-26T20:52:22.7059262Z x = self.forward_head(x) 2025-08-26T20:52:22.7059487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-26T20:52:22.7059576Z aux = self.aux_head(x[:, 1:]) 2025-08-26T20:52:22.7059580Z 2025-08-26T20:52:22.7059692Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7059915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7059991Z return mod(*inputs) 2025-08-26T20:52:22.7060196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-26T20:52:22.7060281Z x = self.forward_head(x) 2025-08-26T20:52:22.7060501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-26T20:52:22.7060591Z out = out + 0.5 * aux.max(1)[0] 2025-08-26T20:52:22.7060595Z 2025-08-26T20:52:22.7060710Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7060929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7061010Z return mod(*inputs) 2025-08-26T20:52:22.7061213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-26T20:52:22.7061298Z x = self.forward_head(x) 2025-08-26T20:52:22.7061520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-08-26T20:52:22.7061598Z out = self.head(out) 2025-08-26T20:52:22.7061610Z 2025-08-26T20:52:22.7061743Z cudagraph partition due to non gpu ops. Found from : 2025-08-26T20:52:22.7061958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-26T20:52:22.7062040Z return mod(*inputs) 2025-08-26T20:52:22.7062243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-26T20:52:22.7062343Z x = self.forward_head(x) 2025-08-26T20:52:22.7062567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-26T20:52:22.7062649Z out = out + 0.5 * aux.max(1)[0] 2025-08-26T20:52:22.7062653Z 2025-08-26T20:52:36.5715927Z Compilation time (from dynamo_timed): 48.726670115 2025-08-26T20:52:36.5716497Z pass 2025-08-26T20:52:36.5720178Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-26T20:52:36.5721446Z TIMING: _recursive_pre_grad_passes:0.01069 _recursive_joint_graph_passes:0.76442 _recursive_post_grad_passes:0.32015 async_compile.wait:0.74187 code_gen:13.31493 inductor_compile:20.40924 backend_compile:38.42352 gc:0.00051 entire_frame_compile:48.72667 total_wall_time:48.72667 2025-08-26T20:52:36.5722690Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:19621 | attempt fast:160 | fast is_contiguous:144 | FakeTensor.__torch_dispatch__:7525 | slow no contiguity match:16 | ProxyTorchDispatchMode.__torch_dispatch__:6924 2025-08-26T20:52:36.5723422Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-08-26T20:52:45.9257498Z 2025-08-26T20:52:47.6204492Z loading model: 0it [00:00, ?it/s] 2025-08-26T20:52:47.6204741Z 2025-08-26T20:52:47.7923911Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-26T20:55:05.6597895Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-26T20:55:05.6608632Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:05.6608923Z env: 2025-08-26T20:55:05.6609116Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:05.6609469Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:05.6609822Z ##[endgroup] 2025-08-26T20:55:05.6641999Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T20:55:05.8672365Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T20:55:06.7101969Z Collecting boto3==1.35.33 2025-08-26T20:55:06.7245924Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-26T20:55:06.9736139Z Collecting psutil==7.0.0 2025-08-26T20:55:06.9769246Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-26T20:55:07.0036194Z Collecting pynvml==12.0.0 2025-08-26T20:55:07.0077696Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-26T20:55:07.0163825Z 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) 2025-08-26T20:55:07.0486027Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-26T20:55:07.0534732Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-26T20:55:07.9354958Z Collecting botocore<1.36.0,>=1.35.33 2025-08-26T20:55:07.9386752Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-26T20:55:08.0754271Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-26T20:55:08.0789389Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-26T20:55:08.0877695Z 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) 2025-08-26T20:55:08.0885190Z 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) 2025-08-26T20:55:08.1943650Z 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) 2025-08-26T20:55:08.3143232Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-26T20:55:08.6965103Z Attempting uninstall: nvidia-ml-py 2025-08-26T20:55:08.6966409Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-26T20:55:08.6977266Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-26T20:55:08.7121270Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-26T20:55:08.7692066Z Attempting uninstall: psutil 2025-08-26T20:55:08.7692441Z Found existing installation: psutil 5.9.8 2025-08-26T20:55:08.7744089Z Uninstalling psutil-5.9.8: 2025-08-26T20:55:08.7748338Z Successfully uninstalled psutil-5.9.8 2025-08-26T20:55:08.9235383Z 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 2025-08-26T20:55:09.0503791Z + DEVICE_NAME= 2025-08-26T20:55:09.0504281Z + DEVICE_TYPE= 2025-08-26T20:55:09.0504644Z + command -v nvidia-smi 2025-08-26T20:55:09.0505192Z + command -v rocminfo 2025-08-26T20:55:09.0505514Z + echo DEVICE_NAME= 2025-08-26T20:55:09.0506061Z + echo DEVICE_TYPE= 2025-08-26T20:55:09.0531653Z ##[group]Run set -eux 2025-08-26T20:55:09.0531874Z set -eux 2025-08-26T20:55:09.0532058Z  2025-08-26T20:55:09.0532291Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-26T20:55:09.0532551Z  echo "Missing github-token input" 2025-08-26T20:55:09.0532774Z  exit 1 2025-08-26T20:55:09.0532949Z fi 2025-08-26T20:55:09.0539552Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:09.0539831Z env: 2025-08-26T20:55:09.0540014Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:09.0540343Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:09.0540690Z DEVICE_NAME: 2025-08-26T20:55:09.0540993Z DEVICE_TYPE: 2025-08-26T20:55:09.0541405Z GITHUB_TOKEN: *** 2025-08-26T20:55:09.0541595Z ##[endgroup] 2025-08-26T20:55:09.0565074Z + [[ -z *** ]] 2025-08-26T20:55:09.0608197Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-26T20:55:09.0608551Z with: 2025-08-26T20:55:09.0608920Z github-token: *** 2025-08-26T20:55:09.0609129Z env: 2025-08-26T20:55:09.0609327Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:09.0609697Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:09.0610088Z DEVICE_NAME: 2025-08-26T20:55:09.0610292Z DEVICE_TYPE: 2025-08-26T20:55:09.0610504Z ##[endgroup] 2025-08-26T20:55:09.0629259Z ##[group]Run set -eux 2025-08-26T20:55:09.0629516Z set -eux 2025-08-26T20:55:09.0629707Z  2025-08-26T20:55:09.0630049Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T20:55:09.0635253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:09.0635531Z env: 2025-08-26T20:55:09.0635709Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:09.0636052Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:09.0636393Z DEVICE_NAME: 2025-08-26T20:55:09.0636571Z DEVICE_TYPE: 2025-08-26T20:55:09.0636900Z GITHUB_TOKEN: *** 2025-08-26T20:55:09.0637086Z ##[endgroup] 2025-08-26T20:55:09.0662753Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463670 i-073caa4447498af62 2025-08-26T20:55:10.2311395Z setting job-id=48946862619 2025-08-26T20:55:10.2311944Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:55:10.2423108Z ##[group]Run set -eux 2025-08-26T20:55:10.2423344Z set -eux 2025-08-26T20:55:10.2423521Z  2025-08-26T20:55:10.2423824Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-26T20:55:10.2424187Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-26T20:55:10.2424448Z  --repo "${REPO}" \ 2025-08-26T20:55:10.2424677Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-26T20:55:10.2424916Z  --head-sha "${HEAD_SHA}" \ 2025-08-26T20:55:10.2425152Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-26T20:55:10.2425402Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-26T20:55:10.2425633Z  --job-id "${JOB_ID}" \ 2025-08-26T20:55:10.2425856Z  --job-name "${JOB_NAME}" 2025-08-26T20:55:10.2430951Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:10.2431220Z env: 2025-08-26T20:55:10.2431404Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:10.2431738Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:10.2432079Z DEVICE_NAME: 2025-08-26T20:55:10.2432330Z DEVICE_TYPE: 2025-08-26T20:55:10.2432511Z SCHEMA_VERSION: v3 2025-08-26T20:55:10.2432710Z REPO: pytorch/pytorch 2025-08-26T20:55:10.2432973Z HEAD_BRANCH: refs/heads/main 2025-08-26T20:55:10.2433203Z HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:55:10.2433452Z WORKFLOW_RUN_ID: 17248463670 2025-08-26T20:55:10.2433647Z RUN_ATTEMPT: 1 2025-08-26T20:55:10.2433820Z JOB_ID: 48946862619 2025-08-26T20:55:10.2434174Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:55:10.2434550Z ##[endgroup] 2025-08-26T20:55:10.2464791Z + 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 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463670 --run-attempt 1 --job-id 48946862619 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)' 2025-08-26T20:55:10.2753168Z ##[group]Run set -eux 2025-08-26T20:55:10.2753424Z set -eux 2025-08-26T20:55:10.2753611Z  2025-08-26T20:55:10.2753906Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-26T20:55:10.2758928Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:10.2759207Z env: 2025-08-26T20:55:10.2759396Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:10.2759736Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:10.2760077Z DEVICE_NAME: 2025-08-26T20:55:10.2760276Z DEVICE_TYPE: 2025-08-26T20:55:10.2760459Z ##[endgroup] 2025-08-26T20:55:10.2785917Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-26T20:55:10.3148662Z INFO:root:Fail to import torch to get the device name 2025-08-26T20:55:10.3254075Z ##[group]Run set -eux 2025-08-26T20:55:10.3254307Z set -eux 2025-08-26T20:55:10.3254498Z  2025-08-26T20:55:10.3254696Z # TODO (huydhn): Implement this part 2025-08-26T20:55:10.3254984Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:55:10.3259934Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:10.3260220Z env: 2025-08-26T20:55:10.3260401Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:10.3260745Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:10.3261105Z DEVICE_NAME: 2025-08-26T20:55:10.3261431Z DEVICE_TYPE: 2025-08-26T20:55:10.3261620Z ##[endgroup] 2025-08-26T20:55:10.3283730Z + echo 'dependencies={}' 2025-08-26T20:55:10.3312193Z ##[group]Run set -eux 2025-08-26T20:55:10.3312428Z set -eux 2025-08-26T20:55:10.3312611Z  2025-08-26T20:55:10.3312826Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-26T20:55:10.3313161Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-26T20:55:10.3313501Z  # We don't want the job to fail if the directory doesn't exist 2025-08-26T20:55:10.3313787Z  exit 0 2025-08-26T20:55:10.3313963Z fi 2025-08-26T20:55:10.3314131Z  2025-08-26T20:55:10.3314311Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-26T20:55:10.3314703Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T20:55:10.3315094Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T20:55:10.3315408Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T20:55:10.3315668Z  --runners "${RUNNER_INFO}" \ 2025-08-26T20:55:10.3315919Z  --dependencies "${DEPENDENCIES}" \ 2025-08-26T20:55:10.3316163Z  --dry-run 2025-08-26T20:55:10.3316356Z else 2025-08-26T20:55:10.3316724Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T20:55:10.3317093Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T20:55:10.3317443Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T20:55:10.3317698Z  --runners "${RUNNER_INFO}" \ 2025-08-26T20:55:10.3317954Z  --dependencies "${DEPENDENCIES}" 2025-08-26T20:55:10.3318186Z fi 2025-08-26T20:55:10.3322697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:10.3322973Z env: 2025-08-26T20:55:10.3323159Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:10.3323502Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:10.3323839Z DEVICE_NAME: 2025-08-26T20:55:10.3324019Z DEVICE_TYPE: 2025-08-26T20:55:10.3324224Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-26T20:55:10.3324457Z DRY_RUN: false 2025-08-26T20:55:10.3325448Z BENCHMARK_METADATA: {"timestamp": 1756241710, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463670, "run_attempt": 1, "job_id": 48946862619} 2025-08-26T20:55:10.3326596Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-50-60.ec2.internal"}, "name": "", "type": ""}] 2025-08-26T20:55:10.3327262Z DEPENDENCIES: {} 2025-08-26T20:55:10.3327458Z ##[endgroup] 2025-08-26T20:55:10.3350160Z + [[ ! -d test/test-reports ]] 2025-08-26T20:55:10.3350993Z + [[ false == \t\r\u\e ]] 2025-08-26T20:55:10.3353007Z + 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": 1756241710, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463670, "run_attempt": 1, "job_id": 48946862619}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-50-60.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-26T20:55:10.4634503Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862619/inference_timm_models.json 2025-08-26T20:55:10.4929110Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-26T20:55:10.7787774Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-26T20:55:10.7788081Z cat test/**/*_toprint.log || true 2025-08-26T20:55:10.7793004Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:10.7793295Z env: 2025-08-26T20:55:10.7793477Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:10.7793817Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:10.7794176Z DEVICE_NAME: 2025-08-26T20:55:10.7794361Z DEVICE_TYPE: 2025-08-26T20:55:10.7794541Z ##[endgroup] 2025-08-26T20:55:10.7887763Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-26T20:55:10.7924843Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-26T20:55:10.7925142Z kill "$MONITOR_SCRIPT_PID" 2025-08-26T20:55:10.7930042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:10.7930313Z env: 2025-08-26T20:55:10.7930827Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:10.7931173Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:10.7931525Z DEVICE_NAME: 2025-08-26T20:55:10.7931698Z DEVICE_TYPE: 2025-08-26T20:55:10.7931889Z MONITOR_SCRIPT_PID: 48505 2025-08-26T20:55:10.7932196Z ##[endgroup] 2025-08-26T20:55:10.8042508Z Prepare all required actions 2025-08-26T20:55:10.8043065Z Getting action download info 2025-08-26T20:55:10.9769763Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T20:55:11.2228000Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-26T20:55:11.6199807Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-26T20:55:11.6200087Z with: 2025-08-26T20:55:11.6200389Z file-suffix: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:55:11.6200727Z s3-bucket: gha-artifacts 2025-08-26T20:55:11.6200941Z env: 2025-08-26T20:55:11.6201117Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:11.6201456Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:11.6201798Z DEVICE_NAME: 2025-08-26T20:55:11.6201983Z DEVICE_TYPE: 2025-08-26T20:55:11.6202165Z ##[endgroup] 2025-08-26T20:55:11.6227853Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-26T20:55:11.6228228Z # Remove any previous test jsons if they exist 2025-08-26T20:55:11.6228517Z rm -f test-jsons-*.zip 2025-08-26T20:55:11.6228844Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-26T20:55:11.6234460Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:11.6234740Z env: 2025-08-26T20:55:11.6234920Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:11.6235259Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:11.6235605Z DEVICE_NAME: 2025-08-26T20:55:11.6235789Z DEVICE_TYPE: 2025-08-26T20:55:11.6236077Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:55:11.6236386Z ##[endgroup] 2025-08-26T20:55:11.6411504Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-26T20:55:11.6439650Z ##[group]Run # Remove any previous test reports if they exist 2025-08-26T20:55:11.6440016Z # Remove any previous test reports if they exist 2025-08-26T20:55:11.6440300Z rm -f test-reports-*.zip 2025-08-26T20:55:11.6440626Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-26T20:55:11.6445464Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:11.6445729Z env: 2025-08-26T20:55:11.6445907Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:11.6446242Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:11.6446581Z DEVICE_NAME: 2025-08-26T20:55:11.6447073Z DEVICE_TYPE: 2025-08-26T20:55:11.6447387Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:55:11.6447711Z ##[endgroup] 2025-08-26T20:55:11.6504026Z adding: test/test-reports/inference_timm_models.csv (deflated 61%) 2025-08-26T20:55:11.6531451Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-26T20:55:11.6531808Z # Remove any previous usage logs if they exist 2025-08-26T20:55:11.6532080Z rm -f logs-*.zip 2025-08-26T20:55:11.6532355Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-26T20:55:11.6532723Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-26T20:55:11.6537529Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:11.6537798Z env: 2025-08-26T20:55:11.6537976Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:11.6538295Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:11.6538631Z DEVICE_NAME: 2025-08-26T20:55:11.6538807Z DEVICE_TYPE: 2025-08-26T20:55:11.6539088Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:55:11.6539400Z ##[endgroup] 2025-08-26T20:55:11.6615998Z adding: usage_log.txt (deflated 96%) 2025-08-26T20:55:11.6627248Z 2025-08-26T20:55:11.6628632Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip) 2025-08-26T20:55:11.6652631Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-26T20:55:11.6653097Z # Remove any previous debugging artifacts if they exist 2025-08-26T20:55:11.6653392Z rm -f debug-*.zip 2025-08-26T20:55:11.6653612Z if [ -d 'test/debug' ]; then 2025-08-26T20:55:11.6653886Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-26T20:55:11.6654125Z fi 2025-08-26T20:55:11.6658777Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:11.6659051Z env: 2025-08-26T20:55:11.6659226Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:11.6659560Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:11.6659906Z DEVICE_NAME: 2025-08-26T20:55:11.6660085Z DEVICE_TYPE: 2025-08-26T20:55:11.6660373Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619 2025-08-26T20:55:11.6660694Z ##[endgroup] 2025-08-26T20:55:11.6762401Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T20:55:11.6762693Z with: 2025-08-26T20:55:11.6762880Z s3-bucket: gha-artifacts 2025-08-26T20:55:11.6763138Z s3-prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:11.6763395Z retention-days: 14 2025-08-26T20:55:11.6763583Z if-no-files-found: warn 2025-08-26T20:55:11.6763790Z path: test-jsons-*.zip 2025-08-26T20:55:11.6763985Z name: artifact 2025-08-26T20:55:11.6764165Z region: us-east-1 2025-08-26T20:55:11.6764335Z env: 2025-08-26T20:55:11.6764503Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:11.6764838Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:11.6765190Z DEVICE_NAME: 2025-08-26T20:55:11.6765359Z DEVICE_TYPE: 2025-08-26T20:55:11.6765535Z ##[endgroup] 2025-08-26T20:55:11.9598474Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T20:55:11.9598880Z With the provided path, there will be 1 file uploaded 2025-08-26T20:55:11.9599213Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:11.9633357Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:12.1704914Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:12.1878487Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T20:55:12.1878754Z with: 2025-08-26T20:55:12.1878947Z s3-bucket: gha-artifacts 2025-08-26T20:55:12.1879201Z s3-prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:12.1879462Z retention-days: 14 2025-08-26T20:55:12.1879656Z if-no-files-found: error 2025-08-26T20:55:12.1879871Z path: test-reports-*.zip 2025-08-26T20:55:12.1880073Z name: artifact 2025-08-26T20:55:12.1880256Z region: us-east-1 2025-08-26T20:55:12.1880427Z env: 2025-08-26T20:55:12.1880596Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:12.1880956Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:12.1881300Z DEVICE_NAME: 2025-08-26T20:55:12.1881479Z DEVICE_TYPE: 2025-08-26T20:55:12.1881651Z ##[endgroup] 2025-08-26T20:55:12.4639774Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T20:55:12.4640145Z With the provided path, there will be 1 file uploaded 2025-08-26T20:55:12.4640467Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:12.4678964Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:12.5803189Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:12.5957257Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T20:55:12.5957523Z with: 2025-08-26T20:55:12.5957715Z s3-bucket: gha-artifacts 2025-08-26T20:55:12.5957972Z s3-prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:12.5958347Z retention-days: 14 2025-08-26T20:55:12.5958667Z if-no-files-found: ignore 2025-08-26T20:55:12.5958888Z path: logs-*.zip 2025-08-26T20:55:12.5959076Z name: artifact 2025-08-26T20:55:12.5959333Z region: us-east-1 2025-08-26T20:55:12.5959513Z env: 2025-08-26T20:55:12.5959691Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:12.5960039Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:12.5960391Z DEVICE_NAME: 2025-08-26T20:55:12.5960568Z DEVICE_TYPE: 2025-08-26T20:55:12.5960746Z ##[endgroup] 2025-08-26T20:55:12.8751611Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T20:55:12.8754207Z With the provided path, there will be 1 file uploaded 2025-08-26T20:55:12.8754617Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:12.8788763Z Starting upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:12.9988956Z Finished upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:13.0158644Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T20:55:13.0158904Z with: 2025-08-26T20:55:13.0159100Z s3-bucket: gha-artifacts 2025-08-26T20:55:13.0159344Z s3-prefix: pytorch/pytorch/17248463670/1/artifact 2025-08-26T20:55:13.0159593Z retention-days: 14 2025-08-26T20:55:13.0159781Z if-no-files-found: ignore 2025-08-26T20:55:13.0159984Z path: debug-*.zip 2025-08-26T20:55:13.0160159Z name: artifact 2025-08-26T20:55:13.0160336Z region: us-east-1 2025-08-26T20:55:13.0160503Z env: 2025-08-26T20:55:13.0160668Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:13.0161000Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:13.0161343Z DEVICE_NAME: 2025-08-26T20:55:13.0161508Z DEVICE_TYPE: 2025-08-26T20:55:13.0161676Z ##[endgroup] 2025-08-26T20:55:13.2864042Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-26T20:55:13.3037652Z ##[group]Run # shellcheck disable=SC2156 2025-08-26T20:55:13.3037997Z # shellcheck disable=SC2156 2025-08-26T20:55:13.3038445Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-26T20:55:13.3044758Z shell: /usr/bin/bash -e {0} 2025-08-26T20:55:13.3044970Z env: 2025-08-26T20:55:13.3045154Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:13.3045502Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:13.3045870Z DEVICE_NAME: 2025-08-26T20:55:13.3046047Z DEVICE_TYPE: 2025-08-26T20:55:13.3046222Z ##[endgroup] 2025-08-26T20:55:13.4919415Z Prepare all required actions 2025-08-26T20:55:13.4919797Z Getting action download info 2025-08-26T20:55:13.5917508Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-26T20:55:13.5917795Z with: 2025-08-26T20:55:13.5917972Z job_id: 48946862619 2025-08-26T20:55:13.5918341Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:55:13.5918746Z workflow_name: inductor 2025-08-26T20:55:13.5918945Z workflow_run_id: 17248463670 2025-08-26T20:55:13.5919157Z workflow_attempt: 1 2025-08-26T20:55:13.5919342Z env: 2025-08-26T20:55:13.5919505Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:13.5919839Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:13.5920179Z DEVICE_NAME: 2025-08-26T20:55:13.5920357Z DEVICE_TYPE: 2025-08-26T20:55:13.5920531Z ##[endgroup] 2025-08-26T20:55:13.5941284Z ##[group]Run echo "workflow_id: 17248463670" 2025-08-26T20:55:13.5941610Z echo "workflow_id: 17248463670" 2025-08-26T20:55:13.5941857Z echo "workflow_attempt: 1" 2025-08-26T20:55:13.5942092Z echo "workflow_Name: inductor" 2025-08-26T20:55:13.5942325Z echo "job_id: 48946862619" 2025-08-26T20:55:13.5942752Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" 2025-08-26T20:55:13.5943276Z echo "artifact_prefix: " 2025-08-26T20:55:13.5943504Z python3 --version 2025-08-26T20:55:13.5948424Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:13.5948699Z env: 2025-08-26T20:55:13.5948881Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:13.5949220Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:13.5949572Z DEVICE_NAME: 2025-08-26T20:55:13.5949755Z DEVICE_TYPE: 2025-08-26T20:55:13.5949941Z ##[endgroup] 2025-08-26T20:55:13.5975362Z workflow_id: 17248463670 2025-08-26T20:55:13.5976358Z workflow_attempt: 1 2025-08-26T20:55:13.5981356Z workflow_Name: inductor 2025-08-26T20:55:13.5981622Z job_id: 48946862619 2025-08-26T20:55:13.5982019Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-26T20:55:13.5982438Z artifact_prefix: 2025-08-26T20:55:13.5989223Z Python 3.9.23 2025-08-26T20:55:13.6028802Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T20:55:13.6029059Z with: 2025-08-26T20:55:13.6029230Z shell: bash 2025-08-26T20:55:13.6029426Z timeout_minutes: 5 2025-08-26T20:55:13.6029618Z max_attempts: 5 2025-08-26T20:55:13.6029811Z retry_wait_seconds: 30 2025-08-26T20:55:13.6030202Z 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 2025-08-26T20:55:13.6030885Z polling_interval_seconds: 1 2025-08-26T20:55:13.6031107Z warning_on_retry: true 2025-08-26T20:55:13.6031313Z continue_on_error: false 2025-08-26T20:55:13.6031543Z env: 2025-08-26T20:55:13.6031722Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:13.6032062Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:13.6032485Z DEVICE_NAME: 2025-08-26T20:55:13.6032670Z DEVICE_TYPE: 2025-08-26T20:55:13.6032842Z ##[endgroup] 2025-08-26T20:55:13.8889794Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T20:55:13.9529117Z Collecting python-dateutil==2.8.2 2025-08-26T20:55:13.9675457Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-26T20:55:14.7165057Z Collecting boto3==1.35.42 2025-08-26T20:55:14.7197575Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-26T20:55:15.1304924Z Collecting pandas==2.1.3 2025-08-26T20:55:15.1340522Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-26T20:55:15.2329504Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-26T20:55:15.2344435Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-26T20:55:15.2382782Z 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) 2025-08-26T20:55:15.2388567Z 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) 2025-08-26T20:55:15.2389267Z 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) 2025-08-26T20:55:15.3135448Z Collecting tzdata>=2022.1 2025-08-26T20:55:15.3165768Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-26T20:55:15.9660090Z Collecting numpy<2,>=1.22.4 2025-08-26T20:55:15.9694424Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-26T20:55:16.0921916Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-26T20:55:16.0946246Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-26T20:55:16.0947867Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-26T20:55:16.0995855Z 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) 2025-08-26T20:55:16.1107633Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-26T20:55:16.1191898Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-08-26T20:55:16.1194585Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-26T20:55:16.2886134Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-26T20:55:20.7223750Z Attempting uninstall: boto3 2025-08-26T20:55:20.7224103Z Found existing installation: boto3 1.35.33 2025-08-26T20:55:20.7300487Z Uninstalling boto3-1.35.33: 2025-08-26T20:55:20.7311356Z Successfully uninstalled boto3-1.35.33 2025-08-26T20:55:20.7775501Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-26T20:55:21.6795237Z Command completed after 1 attempt(s). 2025-08-26T20:55:21.6854402Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-26T20:55:21.6854901Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-26T20:55:21.6855269Z  --workflow-run-id "17248463670" \ 2025-08-26T20:55:21.6855532Z  --workflow-name "inductor" \ 2025-08-26T20:55:21.6855788Z  --workflow-run-attempt "1" \ 2025-08-26T20:55:21.6856024Z  --job-id "48946862619" \ 2025-08-26T20:55:21.6856447Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" \ 2025-08-26T20:55:21.6856883Z  --local-path "" \ 2025-08-26T20:55:21.6857107Z  --artifact-prefix "" 2025-08-26T20:55:21.6862017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:21.6862301Z env: 2025-08-26T20:55:21.6862483Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:21.6862824Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:21.6863175Z DEVICE_NAME: 2025-08-26T20:55:21.6863359Z DEVICE_TYPE: 2025-08-26T20:55:21.6863534Z ##[endgroup] 2025-08-26T20:55:22.6173209Z repo: pytorch/pytorch 2025-08-26T20:55:22.6174116Z Search for test log in s3 bucket: ossci-utilization 2025-08-26T20:55:22.6174543Z Downloading logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:22.6175114Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48946862619.zip 2025-08-26T20:55:22.6175554Z Converted Log Model: UtilizationMetadata: 2025-08-26T20:55:22.6176502Z UtilizationMetadata(level='metadata', workflow_id='17248463670', job_id='48946862619', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756239533, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-26T20:55:22.6177475Z [Db Segments] detected pytest cmd: 8, generated segments: 8 2025-08-26T20:55:22.6177792Z [db model] Peek db timeseries 2025-08-26T20:55:22.6177993Z :{ 2025-08-26T20:55:22.6178159Z "created_at": 1756241722, 2025-08-26T20:55:22.6178378Z "type": "utilization", 2025-08-26T20:55:22.6178571Z "tags": [ 2025-08-26T20:55:22.6178734Z "record" 2025-08-26T20:55:22.6178903Z ], 2025-08-26T20:55:22.6179071Z "time_stamp": 1756239533, 2025-08-26T20:55:22.6179287Z "repo": "pytorch/pytorch", 2025-08-26T20:55:22.6179494Z "workflow_id": 17248463670, 2025-08-26T20:55:22.6179782Z "run_attempt": 1, 2025-08-26T20:55:22.6179968Z "job_id": 48946862619, 2025-08-26T20:55:22.6180166Z "workflow_name": "inductor", 2025-08-26T20:55:22.6180603Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", 2025-08-26T20:55:22.6181003Z "json_data": "{}" 2025-08-26T20:55:22.6181180Z } 2025-08-26T20:55:22.6181529Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862619/metadata 2025-08-26T20:55:22.6182126Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862619/metadata 2025-08-26T20:55:22.6182728Z Writing 434 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862619/time_series 2025-08-26T20:55:22.6183350Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862619/time_series 2025-08-26T20:55:22.7367941Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-26T20:55:22.7368344Z with: 2025-08-26T20:55:22.7368540Z env: 2025-08-26T20:55:22.7368733Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:22.7369127Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:22.7369539Z DEVICE_NAME: 2025-08-26T20:55:22.7369742Z DEVICE_TYPE: 2025-08-26T20:55:22.7369934Z ##[endgroup] 2025-08-26T20:55:22.7391581Z ##[group]Run set -eou pipefail 2025-08-26T20:55:22.7391870Z set -eou pipefail 2025-08-26T20:55:22.7392104Z  2025-08-26T20:55:22.7392419Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-26T20:55:22.7392785Z for _ in $(seq 1440); do 2025-08-26T20:55:22.7393076Z  # Break if no ssh session exists anymore 2025-08-26T20:55:22.7393364Z  if [ "$(who)" = "" ]; then 2025-08-26T20:55:22.7393610Z  break 2025-08-26T20:55:22.7393855Z  fi 2025-08-26T20:55:22.7394066Z  echo "." 2025-08-26T20:55:22.7394267Z  sleep 5 2025-08-26T20:55:22.7394469Z done 2025-08-26T20:55:22.7399629Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:22.7399899Z env: 2025-08-26T20:55:22.7400068Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:22.7400399Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:22.7400747Z DEVICE_NAME: 2025-08-26T20:55:22.7400928Z DEVICE_TYPE: 2025-08-26T20:55:22.7401100Z ##[endgroup] 2025-08-26T20:55:22.7424458Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-26T20:55:22.7518607Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T20:55:22.7519041Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T20:55:22.7519356Z # shellcheck disable=SC2046 2025-08-26T20:55:22.7519634Z docker stop $(docker ps -q) || true 2025-08-26T20:55:22.7519887Z # Prune all of the docker images 2025-08-26T20:55:22.7520131Z docker system prune -af 2025-08-26T20:55:22.7524827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:22.7525090Z env: 2025-08-26T20:55:22.7525266Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:55:22.7525594Z DOCKER_CONTAINER_ID: d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:22.7525930Z DEVICE_NAME: 2025-08-26T20:55:22.7526098Z DEVICE_TYPE: 2025-08-26T20:55:22.7526275Z ##[endgroup] 2025-08-26T20:55:33.7220242Z d2387f915b28 2025-08-26T20:55:34.2699968Z Deleted Containers: 2025-08-26T20:55:34.2700353Z d2387f915b28e99a97b04fa8d080de9a5bd9a1374203610fe5d6649d2e24f2b3 2025-08-26T20:55:34.2700619Z 2025-08-26T20:55:42.0306385Z Deleted Images: 2025-08-26T20:55:42.0307121Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 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2025-08-26T20:55:42.1373911Z git version 2.47.1 2025-08-26T20:55:42.1406741Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d4665dcd-3d6f-4f49-8adc-ed472e9f2dab/.gitconfig' 2025-08-26T20:55:42.1419095Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d4665dcd-3d6f-4f49-8adc-ed472e9f2dab' before making global git config changes 2025-08-26T20:55:42.1419763Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T20:55:42.1424278Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T20:55:42.1470294Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T20:55:42.1502530Z [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' || :" 2025-08-26T20:55:42.1822315Z Entering 'android/libs/fbjni' 2025-08-26T20:55:42.1879277Z Entering 'third_party/FP16' 2025-08-26T20:55:42.1938150Z Entering 'third_party/FXdiv' 2025-08-26T20:55:42.1998005Z Entering 'third_party/NNPACK' 2025-08-26T20:55:42.2058235Z Entering 'third_party/NVTX' 2025-08-26T20:55:42.2112448Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:55:42.2172718Z Entering 'third_party/XNNPACK' 2025-08-26T20:55:42.2241870Z Entering 'third_party/aiter' 2025-08-26T20:55:42.2299976Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:55:42.2365319Z Entering 'third_party/benchmark' 2025-08-26T20:55:42.2421750Z Entering 'third_party/composable_kernel' 2025-08-26T20:55:42.2485391Z Entering 'third_party/cpp-httplib' 2025-08-26T20:55:42.2544188Z Entering 'third_party/cpuinfo' 2025-08-26T20:55:42.2599311Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:55:42.2657826Z Entering 'third_party/cutlass' 2025-08-26T20:55:42.2722142Z Entering 'third_party/fbgemm' 2025-08-26T20:55:42.2779887Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:55:42.2840419Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:55:42.2895858Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:55:42.2951862Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:55:42.3016098Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:55:42.3070715Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:55:42.3127691Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:55:42.3188958Z Entering 'third_party/flash-attention' 2025-08-26T20:55:42.3246068Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:55:42.3311539Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:55:42.3378366Z Entering 'third_party/flatbuffers' 2025-08-26T20:55:42.3435745Z Entering 'third_party/fmt' 2025-08-26T20:55:42.3496771Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:55:42.3556734Z Entering 'third_party/gloo' 2025-08-26T20:55:42.3612378Z Entering 'third_party/googletest' 2025-08-26T20:55:42.3673438Z Entering 'third_party/ideep' 2025-08-26T20:55:42.3727423Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T20:55:42.3790739Z Entering 'third_party/ittapi' 2025-08-26T20:55:42.3852164Z Entering 'third_party/kineto' 2025-08-26T20:55:42.3905905Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:55:42.3959623Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:55:42.4018712Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:55:42.4075129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:55:42.4133630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:55:42.4187785Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:55:42.4249431Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:55:42.4303370Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:55:42.4359526Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:55:42.4415874Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:55:42.4477725Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:55:42.4533379Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:55:42.4594284Z Entering 'third_party/kleidiai' 2025-08-26T20:55:42.4661877Z Entering 'third_party/mimalloc' 2025-08-26T20:55:42.4714492Z Entering 'third_party/nlohmann' 2025-08-26T20:55:42.4773166Z Entering 'third_party/onnx' 2025-08-26T20:55:42.4844135Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T20:55:42.4907275Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T20:55:42.4964018Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:55:42.5018201Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:55:42.5074638Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:55:42.5129428Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:55:42.5185751Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:55:42.5239038Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:55:42.5295702Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:55:42.5351409Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:55:42.5403774Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:55:42.5464258Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:55:42.5538023Z Entering 'third_party/pocketfft' 2025-08-26T20:55:42.5599657Z Entering 'third_party/protobuf' 2025-08-26T20:55:42.5654998Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:55:42.5712669Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T20:55:42.5776379Z Entering 'third_party/psimd' 2025-08-26T20:55:42.5830328Z Entering 'third_party/pthreadpool' 2025-08-26T20:55:42.5887809Z Entering 'third_party/pybind11' 2025-08-26T20:55:42.5947001Z Entering 'third_party/python-peachpy' 2025-08-26T20:55:42.6000862Z Entering 'third_party/sleef' 2025-08-26T20:55:42.6058073Z Entering 'third_party/tensorpipe' 2025-08-26T20:55:42.6115298Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:55:42.6172160Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:55:42.6225801Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:55:42.6280674Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:55:42.6336468Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:55:42.6419940Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-26T20:55:42.6444340Z http.https://github.com/.extraheader 2025-08-26T20:55:42.6451493Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-26T20:55:42.6487084Z [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' || :" 2025-08-26T20:55:42.6807346Z Entering 'android/libs/fbjni' 2025-08-26T20:55:42.6843723Z http.https://github.com/.extraheader 2025-08-26T20:55:42.6892510Z Entering 'third_party/FP16' 2025-08-26T20:55:42.6923222Z http.https://github.com/.extraheader 2025-08-26T20:55:42.6957909Z Entering 'third_party/FXdiv' 2025-08-26T20:55:42.6994856Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7028658Z Entering 'third_party/NNPACK' 2025-08-26T20:55:42.7066156Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7099637Z Entering 'third_party/NVTX' 2025-08-26T20:55:42.7142420Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7171670Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:55:42.7207092Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7246329Z Entering 'third_party/XNNPACK' 2025-08-26T20:55:42.7285154Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7334384Z Entering 'third_party/aiter' 2025-08-26T20:55:42.7373951Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7407776Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:55:42.7446122Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7490960Z Entering 'third_party/benchmark' 2025-08-26T20:55:42.7525072Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7565185Z Entering 'third_party/composable_kernel' 2025-08-26T20:55:42.7599976Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7639775Z Entering 'third_party/cpp-httplib' 2025-08-26T20:55:42.7678558Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7712891Z Entering 'third_party/cpuinfo' 2025-08-26T20:55:42.7749981Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7790157Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:55:42.7826749Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7866859Z Entering 'third_party/cutlass' 2025-08-26T20:55:42.7901351Z http.https://github.com/.extraheader 2025-08-26T20:55:42.7949910Z Entering 'third_party/fbgemm' 2025-08-26T20:55:42.7984546Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8020492Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:55:42.8057511Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8097251Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:55:42.8136158Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8176811Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:55:42.8214910Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8247849Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:55:42.8284192Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8324474Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:55:42.8361549Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8397356Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:55:42.8440939Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8470131Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:55:42.8507714Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8546981Z Entering 'third_party/flash-attention' 2025-08-26T20:55:42.8583458Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8616523Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:55:42.8654606Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8699174Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:55:42.8733163Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8780106Z Entering 'third_party/flatbuffers' 2025-08-26T20:55:42.8816809Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8869558Z Entering 'third_party/fmt' 2025-08-26T20:55:42.8906732Z http.https://github.com/.extraheader 2025-08-26T20:55:42.8941201Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:55:42.8980862Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9019027Z Entering 'third_party/gloo' 2025-08-26T20:55:42.9058825Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9092573Z Entering 'third_party/googletest' 2025-08-26T20:55:42.9130333Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9170167Z Entering 'third_party/ideep' 2025-08-26T20:55:42.9207498Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9240864Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T20:55:42.9275881Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9321858Z Entering 'third_party/ittapi' 2025-08-26T20:55:42.9359760Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9397109Z Entering 'third_party/kineto' 2025-08-26T20:55:42.9434629Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9471786Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:55:42.9507784Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9545399Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:55:42.9586408Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9621078Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:55:42.9657996Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9693866Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:55:42.9731052Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9769036Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:55:42.9803907Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9841292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:55:42.9876055Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9913323Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:55:42.9952598Z http.https://github.com/.extraheader 2025-08-26T20:55:42.9991827Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:55:43.0026189Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0062044Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:55:43.0100759Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0138228Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:55:43.0174269Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0213540Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:55:43.0252166Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0287205Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:55:43.0326027Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0366501Z Entering 'third_party/kleidiai' 2025-08-26T20:55:43.0403685Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0442074Z Entering 'third_party/mimalloc' 2025-08-26T20:55:43.0481053Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0517398Z Entering 'third_party/nlohmann' 2025-08-26T20:55:43.0557316Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0595405Z Entering 'third_party/onnx' 2025-08-26T20:55:43.0633086Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0685679Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T20:55:43.0722867Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0761475Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T20:55:43.0799597Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0836764Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:55:43.0874063Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0909123Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:55:43.0947686Z http.https://github.com/.extraheader 2025-08-26T20:55:43.0988442Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:55:43.1024350Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1059620Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:55:43.1096393Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1134568Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:55:43.1170060Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1203878Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:55:43.1240614Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1279073Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:55:43.1318472Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1356615Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:55:43.1390365Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1431878Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:55:43.1468313Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1506972Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:55:43.1545901Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1600902Z Entering 'third_party/pocketfft' 2025-08-26T20:55:43.1639108Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1678382Z Entering 'third_party/protobuf' 2025-08-26T20:55:43.1714622Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1751597Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:55:43.1787613Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1822218Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T20:55:43.1858932Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1898371Z Entering 'third_party/psimd' 2025-08-26T20:55:43.1939589Z http.https://github.com/.extraheader 2025-08-26T20:55:43.1977390Z Entering 'third_party/pthreadpool' 2025-08-26T20:55:43.2012291Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2051956Z Entering 'third_party/pybind11' 2025-08-26T20:55:43.2086046Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2121812Z Entering 'third_party/python-peachpy' 2025-08-26T20:55:43.2159535Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2195758Z Entering 'third_party/sleef' 2025-08-26T20:55:43.2234443Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2271531Z Entering 'third_party/tensorpipe' 2025-08-26T20:55:43.2309923Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2347845Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:55:43.2383917Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2419072Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:55:43.2457178Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2489051Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:55:43.2525645Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2563659Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:55:43.2600643Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2632262Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:55:43.2668348Z http.https://github.com/.extraheader 2025-08-26T20:55:43.2803500Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-26T20:55:43.2826964Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-26T20:55:43.2831522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:55:43.2831812Z ##[endgroup] 2025-08-26T20:55:43.2916360Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-26T20:55:53.3423073Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-26T20:56:10.1642774Z Cleaning up orphan processes