2025-08-14T21:22:52.8146525Z Current runner version: '2.328.0' 2025-08-14T21:22:52.8151827Z Runner name: 'i-0f9ea389e01bef015' 2025-08-14T21:22:52.8152524Z Runner group name: 'default' 2025-08-14T21:22:52.8153263Z Machine name: 'ip-10-0-9-95' 2025-08-14T21:22:52.8155509Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:22:52.8157636Z Contents: read 2025-08-14T21:22:52.8158165Z Metadata: read 2025-08-14T21:22:52.8158696Z ##[endgroup] 2025-08-14T21:22:52.8160516Z Secret source: Actions 2025-08-14T21:22:52.8161107Z Prepare workflow directory 2025-08-14T21:22:52.8559363Z Prepare all required actions 2025-08-14T21:22:52.8592928Z Getting action download info 2025-08-14T21:22:53.1117292Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:22:54.2752880Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:23:10.0473071Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:23:10.4116319Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:23:10.6525905Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:23:10.8424780Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:23:11.1205792Z Getting action download info 2025-08-14T21:23:11.2317817Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:23:11.8534844Z Getting action download info 2025-08-14T21:23:11.9641827Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:23:12.6173970Z Getting action download info 2025-08-14T21:23:12.7535276Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:23:13.4456227Z Getting action download info 2025-08-14T21:23:13.5712266Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:23:13.5715883Z ##[group] Inputs 2025-08-14T21:23:13.5716213Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:23:13.5721358Z test-matrix: {"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:23:13.5727018Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:13.5727731Z sync-tag: 2025-08-14T21:23:13.5728551Z timeout-minutes: 240 2025-08-14T21:23:13.5728775Z use-gha: 2025-08-14T21:23:13.5728971Z dashboard-tag: 2025-08-14T21:23:13.5729200Z s3-bucket: gha-artifacts 2025-08-14T21:23:13.5729436Z aws-role-to-assume: 2025-08-14T21:23:13.5729899Z disable-monitor: false 2025-08-14T21:23:13.5730161Z monitor-log-interval: 5 2025-08-14T21:23:13.5730436Z monitor-data-collect-interval: 1 2025-08-14T21:23:13.5730713Z ##[endgroup] 2025-08-14T21:23:13.5731177Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:23:13.6272989Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:23:13.6370670Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:23:13.6379059Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:13.6379668Z ##[endgroup] 2025-08-14T21:23:14.7009258Z Runner Type: linux.8xlarge.amx 2025-08-14T21:23:14.7009871Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:23:14.7010156Z AMI Name: unknown 2025-08-14T21:23:14.7041541Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:23:19.1407329Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:23:19.1407794Z with: 2025-08-14T21:23:19.1408435Z github-secret: *** 2025-08-14T21:23:19.1408903Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:23:19.1409530Z activate-with-label: false 2025-08-14T21:23:19.1409789Z label: with-ssh 2025-08-14T21:23:19.1409983Z remove-existing-keys: true 2025-08-14T21:23:19.1410269Z fail-silently: true 2025-08-14T21:23:19.1410501Z env: 2025-08-14T21:23:19.1410799Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:19.1411038Z ##[endgroup] 2025-08-14T21:23:19.2723566Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:23:19.2726157Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:23:19.3110771Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:23:19.3111140Z with: 2025-08-14T21:23:19.3111412Z no-sudo: true 2025-08-14T21:23:19.3111927Z submodules: recursive 2025-08-14T21:23:19.3112203Z fetch-depth: 0 2025-08-14T21:23:19.3112454Z env: 2025-08-14T21:23:19.3112697Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:19.3112952Z ##[endgroup] 2025-08-14T21:23:19.3262777Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:19.3263409Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:19.3271991Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:19.3272232Z env: 2025-08-14T21:23:19.3272591Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:19.3272811Z ##[endgroup] 2025-08-14T21:23:19.3359812Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:23:19.3360142Z # Use all available CPUs for fetching 2025-08-14T21:23:19.3360360Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:23:19.3360594Z git config --global fetch.parallel 0 2025-08-14T21:23:19.3360852Z git config --global submodule.fetchJobs 0 2025-08-14T21:23:19.3361082Z  2025-08-14T21:23:19.3361308Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:23:19.3361594Z # do it here as well just in case 2025-08-14T21:23:19.3361804Z if [[ -d .git ]]; then 2025-08-14T21:23:19.3361991Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:23:19.3362202Z  sudo git clean -ffdx 2025-08-14T21:23:19.3362396Z  else 2025-08-14T21:23:19.3362556Z  git clean -ffdx 2025-08-14T21:23:19.3362736Z  fi 2025-08-14T21:23:19.3362899Z fi 2025-08-14T21:23:19.3367451Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:19.3367690Z env: 2025-08-14T21:23:19.3368102Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:19.3368308Z NO_SUDO: true 2025-08-14T21:23:19.3368458Z ##[endgroup] 2025-08-14T21:23:19.3471370Z ##[group]Run actions/checkout@v4 2025-08-14T21:23:19.3471599Z with: 2025-08-14T21:23:19.3471776Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:19.3472005Z fetch-depth: 0 2025-08-14T21:23:19.3472178Z submodules: recursive 2025-08-14T21:23:19.3472355Z show-progress: false 2025-08-14T21:23:19.3472541Z repository: pytorch/pytorch 2025-08-14T21:23:19.3472815Z token: *** 2025-08-14T21:23:19.3472968Z ssh-strict: true 2025-08-14T21:23:19.3473132Z ssh-user: git 2025-08-14T21:23:19.3473306Z persist-credentials: true 2025-08-14T21:23:19.3473494Z clean: true 2025-08-14T21:23:19.3473680Z sparse-checkout-cone-mode: true 2025-08-14T21:23:19.3473901Z fetch-tags: false 2025-08-14T21:23:19.3474072Z lfs: false 2025-08-14T21:23:19.3474223Z set-safe-directory: true 2025-08-14T21:23:19.3474408Z env: 2025-08-14T21:23:19.3474555Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:19.3474720Z ##[endgroup] 2025-08-14T21:23:19.4386364Z Syncing repository: pytorch/pytorch 2025-08-14T21:23:19.4387426Z ##[group]Getting Git version info 2025-08-14T21:23:19.4387760Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:19.4388201Z [command]/usr/bin/git version 2025-08-14T21:23:19.4633033Z git version 2.47.1 2025-08-14T21:23:19.4653748Z ##[endgroup] 2025-08-14T21:23:19.4659855Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/4966dc30-2865-4047-9a5a-0432105631c8/.gitconfig' 2025-08-14T21:23:19.4686522Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/4966dc30-2865-4047-9a5a-0432105631c8' before making global git config changes 2025-08-14T21:23:19.4688361Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:23:19.4689213Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:19.4734231Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:19.4743619Z ##[group]Initializing the repository 2025-08-14T21:23:19.4748259Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:19.4801599Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:23:19.4806456Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:23:19.4808471Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:23:19.4808787Z hint: 2025-08-14T21:23:19.4809035Z hint: git config --global init.defaultBranch 2025-08-14T21:23:19.4809265Z hint: 2025-08-14T21:23:19.4809509Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:23:19.4810159Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:23:19.4810448Z hint: 2025-08-14T21:23:19.4810629Z hint: git branch -m 2025-08-14T21:23:19.4824309Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:23:19.4829384Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:23:19.4887131Z ##[endgroup] 2025-08-14T21:23:19.4887523Z ##[group]Disabling automatic garbage collection 2025-08-14T21:23:19.4887852Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:23:19.4903057Z ##[endgroup] 2025-08-14T21:23:19.4903370Z ##[group]Setting up auth 2025-08-14T21:23:19.4907796Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:23:19.4936555Z [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' || :" 2025-08-14T21:23:19.5316728Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:23:19.5352236Z [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' || :" 2025-08-14T21:23:19.5685424Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:23:19.5749888Z ##[endgroup] 2025-08-14T21:23:19.5755160Z ##[group]Fetching the repository 2025-08-14T21:23:19.5760560Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:24:03.8232202Z From https://github.com/pytorch/pytorch 2025-08-14T21:24:03.8232617Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:24:03.8232982Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:24:03.8233356Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:24:03.8233919Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:24:03.8234354Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:24:03.8234765Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:24:03.8235127Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:24:03.8235474Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:24:03.8235813Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:24:03.8236137Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:24:03.8236855Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:24:03.8237257Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:24:03.8237939Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:24:03.8238283Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:24:03.8238599Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:24:03.8250077Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:24:03.8250453Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:24:03.8250767Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:24:03.8251324Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:24:03.8251668Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:24:03.8252029Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:24:03.8252365Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:24:03.8252687Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:24:03.8253011Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:24:03.8253338Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:24:03.8253672Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:24:03.8253993Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:24:03.8254377Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:24:03.8254843Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:24:03.8255257Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:24:03.8255651Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:24:03.8256009Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:24:03.8256402Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:24:03.8257000Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:24:03.8257443Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:24:03.8257885Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:24:03.8258251Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:24:03.8258682Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:24:03.8259109Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:24:03.8259489Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:24:03.8259856Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:24:03.8260214Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:24:03.8260548Z 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2025-08-14T21:24:04.1844244Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-08-14T21:24:04.1844476Z * [new branch] zainr/uv-pip-fix -> origin/zainr/uv-pip-fix 2025-08-14T21:24:04.1845459Z * [new branch] zainr/vs-aarch64 -> origin/zainr/vs-aarch64 2025-08-14T21:24:04.1845857Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-08-14T21:24:04.1848384Z * [new branch] zb2p -> origin/zb2p 2025-08-14T21:24:04.1848710Z * [new branch] zdevito-patch-1 -> origin/zdevito-patch-1 2025-08-14T21:24:04.1848936Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-08-14T21:24:04.1849193Z * [new branch] zhxchen17/nativert/0 -> origin/zhxchen17/nativert/0 2025-08-14T21:24:04.1850785Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-14T21:24:04.1850981Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-14T21:24:04.1852365Z * [new branch] zxiiro/bazel -> origin/zxiiro/bazel 2025-08-14T21:24:04.1853511Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:24:04.1853708Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:24:04.1854710Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:24:04.1855210Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:24:04.1856142Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:24:04.1861908Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:24:04.1864680Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:24:04.1864928Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:24:04.1870613Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:24:04.1872455Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:24:04.1872720Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:24:04.1876217Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:24:04.1876474Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:24:04.1882823Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:24:04.1887121Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:24:04.1887266Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:24:04.1887404Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:24:04.1887544Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:24:04.1887729Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:24:04.1887888Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:24:04.1888038Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:24:04.1888185Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:24:04.1888322Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:24:04.1888455Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:24:04.1888593Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:24:04.1888724Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:24:04.1888866Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:24:04.1889018Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:24:04.1889156Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:24:04.1889289Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:24:04.1889414Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:24:04.1889544Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:24:04.1889676Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:24:04.1889795Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:24:04.1889912Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:24:04.1890153Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:24:04.1890265Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:24:04.1890375Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:24:04.1890627Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:24:04.1890869Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:24:04.1891142Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:24:04.1891314Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:24:04.1891542Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:24:04.1891686Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:24:04.1891831Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:24:04.1891968Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:24:04.1892104Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:24:04.1892241Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:24:04.1892369Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:24:04.1892500Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:24:04.1892625Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:24:04.1892754Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:24:04.1892886Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:24:04.1893008Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:24:04.1893139Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:24:04.1893264Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:24:04.1893387Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:24:04.1893516Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:24:04.1893639Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:24:04.1893783Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:24:04.1893909Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:24:04.1894037Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:24:04.1894167Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:24:04.1894291Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:24:04.1894414Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:24:04.1894544Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:24:04.1894668Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:24:04.1894798Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:24:04.1894920Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:24:04.1895046Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:24:04.1895215Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:24:04.1895341Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:24:04.1895470Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:24:04.1895593Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:24:04.1895717Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:24:04.1895848Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:24:04.1895972Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:24:04.1896128Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:24:04.1896253Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:24:04.1896416Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:24:04.1896551Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:24:04.1896907Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:24:04.1897074Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:24:04.1897199Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:24:04.1897323Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:24:04.1897454Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:24:04.1897577Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:24:04.1897700Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:24:04.1897846Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:24:04.1897958Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:24:04.1898081Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:24:04.1898557Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:24:04.1898894Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:24:04.1902868Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:24:04.1903209Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:24:04.1903460Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:24:04.1903698Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:24:04.1903847Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:24:04.1904044Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:24:04.1904650Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:24:04.1904806Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:24:04.1904933Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:24:04.1905049Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:24:04.1905158Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:24:04.1905279Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:24:04.1905390Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:24:04.1905833Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:24:04.1905962Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:24:04.1906393Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:24:04.1906883Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:24:04.1907039Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:24:04.1911013Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:24:04.1911173Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:24:04.1911292Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:24:04.1911414Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:24:04.1911867Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:24:04.1912019Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:24:04.1912146Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:24:04.1912266Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:24:04.1912385Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:24:04.1912508Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:24:04.1917144Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:24:04.1919646Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:24:04.1922721Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:24:04.1922880Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:24:04.1923053Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:24:04.1923193Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:24:04.1923327Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:24:04.1923452Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:24:04.1923576Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:24:04.1923707Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:24:04.1923832Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:24:04.1928582Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:24:04.1930429Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:24:04.1930595Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:24:04.1930723Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:24:04.1930839Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:24:04.1930962Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:24:04.1931090Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:24:04.1931206Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:24:04.1931327Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:24:04.1931438Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:24:04.1931557Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:24:04.1931856Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:24:04.1931975Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:24:04.1932099Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:24:04.1932213Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:24:04.1932339Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:24:04.1932452Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:24:04.1932564Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:24:04.1932711Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:24:04.1933312Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:24:04.1933931Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:24:04.1934125Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:24:04.1934945Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:24:04.1935169Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:24:04.1935698Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:24:04.1937245Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:24:04.1937481Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:24:04.1937611Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:24:04.1941011Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:24:04.1941251Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:24:04.1941441Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:24:04.1941602Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:24:04.1941734Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:24:04.1942010Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:24:04.1942155Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:24:04.1942290Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:24:04.1942558Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:24:04.1945522Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:24:04.1945787Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:24:04.1945904Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:24:04.1946107Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:24:04.1954610Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:24:04.1956594Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:24:04.1956848Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:24:04.1963132Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:24:04.1967317Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:24:04.1971757Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:24:04.1972051Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:24:04.1972184Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:24:04.1972307Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:24:04.1972438Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:24:04.1972586Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:24:04.1972711Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:24:04.1972832Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:24:04.1972950Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:24:04.1973077Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:24:04.1973256Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:24:04.1973413Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:24:04.1973534Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:24:04.1973651Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:24:04.1973775Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:24:04.1973891Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:24:04.1974015Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:24:04.1974131Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:24:04.1974247Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:24:04.1974373Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:24:04.1974491Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:24:04.1974604Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:24:04.1974728Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:24:04.1974844Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:24:04.1974966Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:24:04.1975081Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:24:04.1975195Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:24:04.1975317Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:24:04.1975430Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:24:04.1975557Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:24:04.1975671Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:24:04.1975785Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:24:04.1975908Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:24:04.1976029Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:24:04.1976152Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:24:04.1976281Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:24:04.1976401Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:24:04.1976529Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:24:04.1976954Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:24:04.1977094Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:24:04.1977227Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:24:04.1977347Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:24:04.1977477Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:24:04.1977598Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:24:04.1977721Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:24:04.1977849Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:24:04.1977970Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:24:04.1978196Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:24:04.1978318Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:24:04.1978431Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:24:04.1978552Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:24:04.1978664Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:24:04.1978774Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:24:04.1978893Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:24:04.1979005Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:24:04.1979124Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:24:04.1979243Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:24:04.1979367Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:24:04.1979489Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:24:04.1979602Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:24:04.1979721Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:24:04.1979834Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:24:04.1979946Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:24:04.1980066Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:24:04.1980177Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:24:04.1980293Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:24:04.1980415Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:24:04.1980526Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:24:04.1980645Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:24:04.1980897Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:24:04.1985733Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:24:04.1988048Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:24:04.1988188Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:24:04.1988304Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:24:04.1988441Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:24:04.1988793Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:24:04.1991919Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:24:04.1992190Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:24:04.1997029Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:24:04.1998848Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:24:04.1998979Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:24:04.1999152Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:24:04.1999283Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:24:04.1999585Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:24:04.1999719Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:24:04.1999845Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:24:04.1999975Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:24:04.2000087Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:24:04.2000211Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:24:04.2000310Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:24:04.2000409Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:24:04.2000536Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:24:04.2000651Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:24:04.2000793Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:24:04.2000963Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:24:04.2001116Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:24:04.2001273Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:24:04.2001394Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:24:04.2001519Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:24:04.2001634Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:24:04.2001745Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:24:04.2001869Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:24:04.2001981Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:24:04.2002089Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:24:04.2002204Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:24:04.2002314Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:24:04.2002611Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:24:04.2002732Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:24:04.2003005Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:24:04.2003171Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:24:04.2003287Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:24:04.2003407Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:24:04.2003681Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:24:04.2004093Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:24:04.2004720Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:24:04.2004916Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:24:04.2005065Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:24:04.2005390Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:24:04.2005693Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:24:04.2005827Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:24:04.2005980Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:24:04.2006111Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:24:04.2006237Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:24:04.2006351Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:24:04.2006460Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:24:04.2006580Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:24:04.2006692Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:24:04.2012127Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:24:04.2012428Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:24:04.2012556Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:24:04.2012750Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:24:04.2013022Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:24:04.2013525Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:24:04.2013675Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:24:04.2013803Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:24:04.2013949Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:24:04.2014070Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:24:04.2014191Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:24:04.2014317Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:24:04.2014436Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:24:04.2014555Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:24:04.2014695Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:24:04.2014817Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:24:04.2015202Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:24:04.2015558Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:24:04.2015688Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:24:04.2015814Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:24:04.2015924Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:24:04.2016042Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:24:04.2016149Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:24:04.2016255Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:24:04.2016368Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:24:04.2016524Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:24:04.2017018Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:24:04.2018265Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:24:04.2018505Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:24:04.2018711Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:24:04.2021009Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:24:04.2021151Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:24:04.2021264Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:24:04.2021592Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:24:04.2026739Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:24:04.2031034Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:24:04.2033450Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:24:04.2033611Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:24:04.2033723Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:24:04.2033829Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:24:04.2033961Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:24:04.2034066Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:24:04.2034180Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:24:04.2034300Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:24:04.2034411Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:24:04.2034526Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:24:04.2034632Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:24:04.2034745Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:24:04.2034853Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:24:04.2034960Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:24:04.2035071Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:24:04.2035174Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:24:04.2035278Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:24:04.2035536Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:24:04.2035651Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:24:04.2035766Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:24:04.2035871Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:24:04.2035977Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:24:04.2036093Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:24:04.2036201Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:24:04.2036321Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:24:04.2038294Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:24:04.2038638Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:24:04.2042351Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:24:04.2042912Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:24:04.2043059Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:24:04.2043188Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:24:04.2043313Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:24:04.2043446Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:24:04.2043570Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:24:04.2043695Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:24:04.2043855Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:24:04.2044000Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:24:04.2044122Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:24:04.2044248Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:24:04.2044369Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:24:04.2044492Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:24:04.2044613Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:24:04.2044732Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:24:04.2044854Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:24:04.2046552Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:24:04.2046720Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:24:04.2046844Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:24:04.2046982Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:24:04.2047115Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:24:04.2047251Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:24:04.2047376Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:24:04.2047549Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:24:04.2047677Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:24:04.2047814Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:24:04.2048084Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:24:04.2052335Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:24:04.2052544Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:24:04.2052665Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:24:04.2053215Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:24:04.2053374Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:24:04.2053498Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:24:04.2053617Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:24:04.2053740Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:24:04.2053858Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:24:04.2054197Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:24:04.2054352Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:24:04.2054486Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:24:04.2054621Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:24:04.2055169Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:24:04.2055514Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:24:04.2056047Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:24:04.2056470Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:24:04.2057125Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:24:04.2064969Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:24:04.2065128Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:24:04.2065275Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:24:04.2065410Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:24:04.2065550Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:24:04.2065685Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:24:04.2065822Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:24:04.2065961Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:24:04.2066095Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:24:04.2066237Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:24:04.2071640Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:24:04.2073813Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:24:04.2079490Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:24:04.2084273Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:24:04.2088498Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:24:04.2090358Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:24:04.2090660Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:24:04.2090833Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:24:04.2090957Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:24:04.2091244Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:24:04.2091383Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:24:04.2091534Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:24:04.2091674Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:24:04.2091805Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:24:04.2091942Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:24:04.2092092Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:24:04.2092205Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:24:04.2092327Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:24:04.2092490Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:24:04.2092610Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:24:04.2092720Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:24:04.2092825Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:24:04.2092934Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:24:04.2093036Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:24:04.2093138Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:24:04.2093245Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:24:04.2093345Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:24:04.2093455Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:24:04.2093561Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:24:04.2093661Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:24:04.2093770Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:24:04.2093870Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:24:04.2093979Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:24:04.2094092Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:24:04.2094214Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:24:04.2094323Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:24:04.2094421Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:24:04.2094525Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:24:04.2094632Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:24:04.2094730Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:24:04.2094836Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:24:04.2094933Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:24:04.2095031Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:24:04.2095138Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:24:04.2095237Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:24:04.2095342Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:24:04.2095442Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:24:04.2095581Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:24:04.2095682Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:24:04.2095774Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:24:04.2095864Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:24:04.2095962Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:24:04.2096051Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:24:04.2096147Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:24:04.2096237Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:24:04.2096331Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:24:04.2096433Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:24:04.2096571Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:24:04.2096921Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:24:04.2097036Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:24:04.2097142Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:24:04.2097248Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:24:04.2097344Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:24:04.2097441Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:24:04.2097572Z * [new tag] flight_5 -> flight_5 2025-08-14T21:24:04.2097686Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:24:04.2097798Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:24:04.2097908Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:24:04.2098013Z * [new tag] forpull1 -> forpull1 2025-08-14T21:24:04.2098146Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:24:04.2098264Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:24:04.2098389Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:24:04.2098510Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:24:04.2098636Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:24:04.2098762Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:24:04.2099021Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:24:04.2099271Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:24:04.2099528Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:24:04.2099918Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:24:04.2100272Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:24:04.2100596Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:24:04.2100903Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:24:04.2106476Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:24:04.2108632Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:24:04.2109040Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:24:04.2114594Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:24:04.2117034Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:24:04.2117406Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:24:04.2122100Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:24:04.2124255Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:24:04.2124772Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:24:04.2125006Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:24:04.2125235Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:24:04.2125473Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:24:04.2125693Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:24:04.2125916Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:24:04.2126147Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:24:04.2126372Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:24:04.2126591Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:24:04.2126856Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:24:04.2127091Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:24:04.2127315Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:24:04.2127550Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:24:04.2127772Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:24:04.2127992Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:24:04.2128220Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:24:04.2128457Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:24:04.2128710Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:24:04.2128960Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:24:04.2129178Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:24:04.2129476Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:24:04.2129702Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:24:04.2129925Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:24:04.2130142Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:24:04.2130375Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:24:04.2130610Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:24:04.2130876Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:24:04.2131106Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:24:04.2131326Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:04.2131563Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:24:04.2131785Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:24:04.2132010Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:24:04.2132234Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:24:04.2132462Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:24:04.2132714Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:24:04.2132944Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:24:04.2133177Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:24:04.2133428Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:24:04.2133668Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:24:04.2133917Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:24:04.2134329Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:24:04.2134629Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:24:04.2134886Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:24:04.2135151Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:24:04.2135416Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:24:04.2135657Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:24:04.2135953Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:24:04.2136199Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:24:04.2136447Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:24:04.2136835Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:24:04.2137088Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:24:04.2137347Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:24:04.2137610Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:24:04.2137903Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:24:04.2138167Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:24:04.2138482Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:24:04.2138864Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:24:04.2146063Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:24:04.2146516Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:24:04.2146906Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:24:04.2147273Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:24:04.2147517Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:24:04.2148038Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:24:04.2148304Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:24:04.2148534Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:24:04.2148780Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:24:04.2149032Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:24:04.2149265Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:24:04.2149673Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:24:04.2150356Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:24:04.2155083Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:24:04.2158173Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:24:04.2163248Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:24:04.2163673Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:24:04.2169242Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:24:04.2173444Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:24:04.2173728Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:24:04.2173996Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:24:04.2174233Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:24:04.2174619Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:24:04.2174850Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:24:04.2175085Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:24:04.2175309Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:24:04.2175549Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:24:04.2175765Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:24:04.2176000Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:24:04.2176249Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:24:04.2176482Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:24:04.2176906Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:24:04.2177159Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:24:04.2177385Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:24:04.2177639Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:24:04.2177889Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:24:04.2178145Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:24:04.2178390Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:24:04.2178605Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:24:04.2178836Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:24:04.2179050Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:24:04.2179284Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:24:04.2179562Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:24:04.2179805Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:24:04.2180022Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:24:04.2180240Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:24:04.2180463Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:24:04.2180679Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:24:04.2180942Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:24:04.2181159Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:24:04.2181372Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:24:04.2181587Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:24:04.2181803Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:24:04.2182031Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:24:04.2182248Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:24:04.2182485Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:24:04.2182700Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:24:04.2182925Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:24:04.2183153Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:24:04.2183370Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:24:04.2183595Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:24:04.2183811Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:24:04.2184029Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:24:04.2184259Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:24:04.2184474Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:24:04.2184696Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:24:04.2184913Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:24:04.2185135Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:24:04.2185421Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:24:04.2185651Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:24:04.2185877Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:24:04.2186101Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:24:04.2186333Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:24:04.2186624Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:24:04.2186863Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:24:04.2187148Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:24:04.2187369Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:24:04.2187601Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:24:04.2187824Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:24:04.2193147Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:24:04.2197836Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:24:04.2201950Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:24:04.2206089Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:24:04.2206369Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:24:04.2206602Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:24:04.2206823Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:24:04.2207052Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:24:04.2207275Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:24:04.2207511Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:24:04.2207734Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:24:04.2207945Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:24:04.2208172Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:24:04.2208391Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:24:04.2208623Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:24:04.2208858Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:24:04.2209199Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:24:04.2209425Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:24:04.2209631Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:24:04.2209851Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:24:04.2210060Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:24:04.2210264Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:24:04.2210527Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:24:04.2210740Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:24:04.2210956Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:24:04.2211174Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:24:04.2211396Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:24:04.2211755Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:24:04.2211990Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:24:04.2212226Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:24:04.2212449Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:24:04.2212677Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:24:04.2212915Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:24:04.2213149Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:24:04.2213384Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:24:04.2213615Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:24:04.2213856Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:24:04.2214080Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:24:04.2214309Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:24:04.2214538Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:24:04.2214772Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:24:04.2215011Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:24:04.2215330Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:24:04.2215567Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:24:04.2215802Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:24:04.2216032Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:24:04.2216271Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:24:04.2216499Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:24:04.2216885Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:24:04.2217178Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:24:04.2217835Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:24:04.2218106Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:24:04.2218533Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:24:04.2219255Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:24:04.2219693Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:24:04.2220287Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:24:04.2220798Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:24:04.2224106Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:24:04.2224529Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:24:04.2224882Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:24:04.2225255Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:24:04.2226012Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:24:04.2226319Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:24:04.2226568Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:24:04.2226809Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:24:04.2227202Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:24:04.2227452Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:24:04.2228168Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:24:04.2228826Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:24:04.2229356Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:24:04.2229905Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:24:04.2232570Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:24:04.2232995Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:24:04.2233354Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:24:04.2233705Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:24:04.2234118Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:24:04.2234350Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:24:04.2234576Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:24:04.2234813Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:24:04.2235324Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:24:04.2235809Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:24:04.2236379Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:24:04.2236986Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:24:04.2237542Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:24:04.2238109Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:24:04.2239332Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:24:04.2239660Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:24:04.2240093Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:24:04.2240655Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:24:04.2242821Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:24:04.2243225Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:24:04.2243590Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:24:04.2243943Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:24:04.2244697Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:24:04.2244958Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:24:04.2245356Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:24:04.2246433Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:24:04.2246786Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:24:04.2247139Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:24:04.2247601Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:24:04.2250607Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:24:04.2251011Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:24:04.2251563Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:24:04.2251905Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:24:04.2252264Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:24:04.2253034Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:24:04.2253314Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:24:04.2253545Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:24:04.2253816Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:24:04.2254061Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:24:04.2254301Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:24:04.2254879Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:24:04.2255490Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:24:04.2256170Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:24:04.2257071Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:24:04.2257531Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:24:04.2258050Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:24:04.2258488Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:24:04.2259478Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:24:04.2259904Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:24:04.2260404Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:24:04.2261072Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:24:04.2261617Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:24:04.2263003Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:24:04.2263300Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:24:04.2263794Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:24:04.2264060Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:24:04.2264704Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:24:04.2265157Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:24:04.2265713Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:24:04.2268775Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:24:04.2269052Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:24:04.2269290Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:24:04.2269519Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:24:04.2269727Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:24:04.2269993Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:24:04.2270219Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:24:04.2270476Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:24:04.2271889Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:24:04.2272618Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:24:04.2273079Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:24:04.2273345Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:24:04.2273948Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:24:04.2274426Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:24:04.2275000Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:24:04.2275422Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:24:04.2276585Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:24:04.2276808Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:24:04.2277149Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:24:04.2279103Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:24:04.2279450Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:24:04.2279556Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:24:04.2279643Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:24:04.2283838Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:24:04.2288033Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:24:04.2292697Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:24:04.2292833Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:24:04.2292937Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:24:04.2293059Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:24:04.2293156Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:24:04.2293400Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:24:04.2293517Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:24:04.2293628Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:24:04.2293734Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:24:04.2293839Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:24:04.2293936Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:24:04.2294040Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:24:04.2294142Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:24:04.2294237Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:24:04.2294360Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:24:04.2294461Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:24:04.2294574Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:24:04.2294671Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:24:04.2294771Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:24:04.2294871Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:24:04.2294971Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:24:04.2295073Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:24:04.2295171Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:24:04.2295268Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:24:04.2295378Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:24:04.2295475Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:24:04.2295576Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:24:04.2295684Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:24:04.2295788Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:24:04.2296312Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:24:04.2296838Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:24:04.2297461Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:24:04.2297921Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:24:04.2301667Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:24:04.2301977Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:24:04.2302117Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:24:04.2302353Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:24:04.2302632Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:24:04.2303227Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:24:04.2303371Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:24:04.2303474Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:24:04.2303576Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:24:04.2303761Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:24:04.2304151Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:24:04.2305754Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:24:04.2306049Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:24:04.2306178Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:24:04.2306632Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:24:04.2307053Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:24:04.2307486Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:24:04.2307899Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:24:04.2308841Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:24:04.2308968Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:24:04.2311185Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:24:04.2311466Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:24:04.2311825Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:24:04.2311929Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:24:04.2312162Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:24:04.2312309Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:24:04.2312731Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:24:04.2313592Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:24:04.2313710Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:24:04.2316586Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:24:04.2316884Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:24:04.2317012Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:24:04.2317215Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:24:04.2317332Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:24:04.2317542Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:24:04.2317664Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:24:04.2318390Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:24:04.2319106Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:24:04.2319774Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:24:04.2323446Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:24:04.2323742Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:24:04.2323872Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:24:04.2324066Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:24:04.2324172Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:24:04.2324404Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:24:04.2324735Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:24:04.2325334Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:24:04.2325620Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:24:04.2325743Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:24:04.2325885Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:24:04.2325993Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:24:04.2329541Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:24:04.2329846Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:24:04.2329996Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:24:04.2330185Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:24:04.2330543Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:24:04.2330651Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:24:04.2330918Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:24:04.2331549Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:24:04.2332810Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:24:04.2333369Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:24:04.2333488Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:24:04.2333590Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:24:04.2333687Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:24:04.2333782Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:24:04.2333906Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:24:04.2334149Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:24:04.2335081Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:24:04.2335370Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:24:04.2336777Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:24:04.2336900Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:24:04.2337295Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:24:04.2337930Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:24:04.2338656Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:24:04.2338992Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:24:04.2339937Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:24:04.2340314Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:24:04.2343853Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:24:04.2343988Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:24:04.2344096Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:24:04.2344200Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:24:04.2344316Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:24:04.2344409Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:24:04.2344507Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:24:04.2344712Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:24:04.2346236Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:24:04.2346572Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:24:04.2347042Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:24:04.2348692Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:24:04.2348975Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:24:04.2349095Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:24:04.2349201Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:24:04.2352366Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:24:04.2352656Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:24:04.2352784Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:24:04.2352967Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:24:04.2353343Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:24:04.2353468Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:24:04.2353634Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:24:04.2354272Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:24:04.2354433Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:24:04.2357874Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:24:04.2358162Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:24:04.2358288Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:24:04.2358398Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:24:04.2358493Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:24:04.2358588Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:24:04.2358837Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:24:04.2358946Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:24:04.2359483Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:24:04.2362738Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:24:04.2363019Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:24:04.2363152Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:24:04.2363347Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:24:04.2363456Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:24:04.2363571Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:24:04.2363746Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:24:04.2363884Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:24:04.2363993Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:24:04.2364484Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:24:04.2365404Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:24:04.2371491Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:24:04.2371780Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:24:04.2372002Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:24:04.2372198Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:24:04.2372332Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:24:04.2372452Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:24:04.2372663Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:24:04.2373430Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:24:04.2373601Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:24:04.2373709Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:24:04.2373811Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:24:04.2373921Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:24:04.2374031Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:24:04.2374144Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:24:04.2374249Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:24:04.2374394Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:24:04.2375364Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:24:04.2375711Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:24:04.2376522Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:24:04.2377285Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:24:04.2377521Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:24:04.2381652Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:24:04.2381932Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:24:04.2382057Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:24:04.2382238Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:24:04.2382350Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:24:04.2382530Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:24:04.2382724Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:24:04.2383450Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:24:04.2383745Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:24:04.2383880Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:24:04.2384311Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:24:04.2384737Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:24:04.2385762Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:24:04.2385883Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:24:04.2388897Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:24:04.2389196Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:24:04.2389381Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:24:04.2389565Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:24:04.2389691Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:24:04.2389787Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:24:04.2390066Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:24:04.2390729Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:24:04.2390907Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:24:04.2391896Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:24:04.2392117Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:24:04.2394801Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:24:04.2394944Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:24:04.2395197Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:24:04.2395301Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:24:04.2395471Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:24:04.2397312Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:24:04.2397605Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:24:04.2397745Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:24:04.2398141Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:24:04.2398592Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:24:04.2399963Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:24:04.2400251Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:24:04.2400665Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:24:04.2402845Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:24:04.2403132Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:24:04.2403247Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:24:04.2403444Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:24:04.2403574Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:24:04.2404062Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:24:04.2405827Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:24:04.2406130Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:24:04.2406321Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:24:04.2406664Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:24:04.2409707Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:24:04.2410000Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:24:04.2410230Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:24:04.2410685Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:24:04.2410811Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:24:04.2410992Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:24:04.2411590Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:24:04.2412154Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:24:04.2412952Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:24:04.2413375Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:24:04.2414440Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:24:04.2414740Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:24:04.2415077Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:24:04.2893391Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:24:04.2924264Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:04.2925356Z ##[endgroup] 2025-08-14T21:24:04.2925587Z ##[group]Determining the checkout info 2025-08-14T21:24:04.2927636Z ##[endgroup] 2025-08-14T21:24:04.2930670Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:24:04.2980239Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:24:04.3010259Z ##[group]Checking out the ref 2025-08-14T21:24:04.3012403Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:05.3379767Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:24:05.3380022Z 2025-08-14T21:24:05.3380178Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:24:05.3380502Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:24:05.3380900Z state without impacting any branches by switching back to a branch. 2025-08-14T21:24:05.3381097Z 2025-08-14T21:24:05.3381228Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:24:05.3381541Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:24:05.3381711Z 2025-08-14T21:24:05.3381815Z git switch -c 2025-08-14T21:24:05.3381940Z 2025-08-14T21:24:05.3382015Z Or undo this operation with: 2025-08-14T21:24:05.3382137Z 2025-08-14T21:24:05.3382203Z git switch - 2025-08-14T21:24:05.3382401Z 2025-08-14T21:24:05.3382549Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:24:05.3382752Z 2025-08-14T21:24:05.3382988Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:24:05.3428629Z ##[endgroup] 2025-08-14T21:24:05.3429078Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:24:05.3435650Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:24:05.3501403Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:24:05.3535814Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:24:05.3564131Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:24:05.3592373Z ##[endgroup] 2025-08-14T21:24:05.3592814Z ##[group]Fetching submodules 2025-08-14T21:24:05.3594184Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:24:05.3928597Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:24:05.4607374Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:24:05.4608025Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:24:05.4608593Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:24:05.4623613Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:24:05.4624339Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:24:05.4629642Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:24:05.4633209Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:24:05.4635747Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:24:05.4652458Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:24:05.4653161Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:24:05.4653856Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:24:05.4654695Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:24:05.4677685Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:24:05.4678492Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:24:05.4679128Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:24:05.4685378Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:24:05.4686348Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:24:05.4701303Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:24:05.4703670Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:24:05.4706053Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:24:05.4708641Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:24:05.4732171Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:24:05.4732894Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:24:05.4733560Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:24:05.4735725Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:24:05.4745058Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:24:05.4764709Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:24:05.4765428Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:24:05.4766373Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:24:05.4772109Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:24:05.4789270Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:24:05.4792383Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:24:05.4795455Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:24:05.4799403Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:24:05.4802589Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:24:05.4823474Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:24:05.4824115Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:24:05.4852259Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:24:05.7276096Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:24:05.7276613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:24:05.7277064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:24:05.7303617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:24:05.9434560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:24:05.9435622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:24:05.9436900Z Cloning into 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'/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:24:07.1375476Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:24:07.1376231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:24:07.1377124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:24:07.2369986Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:24:19.2955860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:24:19.2962309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:24:19.2964809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:24:19.2965263Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:24:19.2965849Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:24:19.2966302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:24:19.2966802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:24:19.2967316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:24:19.2967773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:24:19.3098077Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:24:19.3207953Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:24:19.3301511Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:24:19.3507750Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:24:19.4193914Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:24:19.4614112Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:24:20.0007763Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:24:20.1258070Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:24:20.1278171Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:24:20.1308275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:24:23.5144605Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:24:23.5345909Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:24:23.7736183Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:24:23.8180704Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:24:23.9034027Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:24:23.9424535Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:24:24.4512393Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:24:24.5634015Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:24:24.5650836Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:24:24.5651690Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:24:24.5652427Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:24:24.5653333Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:24:24.5653980Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:24:24.5654764Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:24:24.5655473Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:24:24.5688987Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:24:25.7392989Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:24:25.7393592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:24:25.7394102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:24:25.7512324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:24:25.8516348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:24:26.8699907Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:24:30.9532706Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:24:31.1496319Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:24:31.2365013Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:24:31.7338555Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:24:31.7754578Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:31.7874624Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:24:31.8797918Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:24:31.9385994Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:24:31.9396577Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:31.9397443Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:31.9427030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:24:35.0416942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:24:35.2307944Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:24:35.7129477Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:24:35.8241472Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:24:35.8548729Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:24:35.8899895Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:24:35.9113665Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:24:35.9533809Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:35.9665417Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:24:35.9684779Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:24:35.9714293Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:24:47.3935765Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:24:47.4112969Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:24:47.4947596Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:24:47.4966800Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:24:47.4967945Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:24:47.4969252Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:24:47.4999525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:24:48.1559216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:24:48.7462178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:24:48.8176106Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:24:48.8193935Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:24:48.8194832Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:24:48.8195903Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:24:48.8197620Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:24:48.8198613Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:24:48.8202775Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:24:48.8203577Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:24:48.8204344Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:24:48.8238744Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:24:49.9826616Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:24:49.9827376Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:24:49.9828100Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:24:49.9828798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:24:49.9829537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:24:50.0540490Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:24:50.1542829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:24:55.4615842Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:24:55.4776481Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:24:55.5109471Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:24:55.5248904Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:24:55.5266012Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:24:55.5287790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:24:56.2429824Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:24:56.2599722Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:24:56.2956070Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:24:56.3816145Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:24:56.3972546Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:24:56.4320123Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:24:56.4826977Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:24:56.5202238Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:24:56.5539499Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:24:56.6500084Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:24:56.9411342Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:24:56.9443416Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:24:56.9468277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:24:59.0602899Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:24:59.1132437Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:24:59.1153816Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:24:59.1154581Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:24:59.1155288Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:24:59.1156297Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:24:59.1157112Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:24:59.1157956Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:24:59.1162275Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:24:59.1169226Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:24:59.1191126Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:24:59.5339013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:24:59.5341631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:24:59.5342513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:24:59.5348453Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:24:59.6341124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:25:00.1529503Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:25:07.0212038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:25:07.5934834Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:25:07.6291651Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:25:07.6443014Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:25:07.7368854Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:25:07.7503190Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:25:07.7640165Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:25:07.7777748Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:25:07.7791117Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:07.7791998Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:07.7817995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:25:09.7162089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:25:09.9268421Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:25:09.9662009Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:25:10.2857782Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:25:10.2971549Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:25:10.5124773Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:25:10.5142002Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:10.5142681Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:10.5173910Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:25:11.0957387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:25:11.4965576Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:25:11.5581609Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:25:11.5665767Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:25:11.5776099Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:25:11.6078515Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:25:11.6328130Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:25:11.6707832Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:25:11.6937208Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:25:11.6951275Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:11.6954033Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:11.6954731Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:11.6955447Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:11.6985562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:25:12.6411384Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:25:12.6492167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:25:12.8475821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:25:12.8972076Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:25:12.9113104Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:25:12.9742198Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:25:12.9988466Z Submodule 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-08-14T21:25:14.6020117Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:14.6071063Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-08-14T21:25:14.7110405Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-08-14T21:25:14.7425973Z Entering 'android/libs/fbjni' 2025-08-14T21:25:14.7469116Z Entering 'third_party/FP16' 2025-08-14T21:25:14.7505438Z Entering 'third_party/FXdiv' 2025-08-14T21:25:14.7548063Z Entering 'third_party/NNPACK' 2025-08-14T21:25:14.7589676Z Entering 'third_party/NVTX' 2025-08-14T21:25:14.7628224Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:14.7670887Z Entering 'third_party/XNNPACK' 2025-08-14T21:25:14.7722056Z Entering 'third_party/aiter' 2025-08-14T21:25:14.7760339Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:14.7811016Z Entering 'third_party/benchmark' 2025-08-14T21:25:14.7854338Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:14.7898669Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:14.7939773Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:14.7986107Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:14.8027027Z Entering 'third_party/cutlass' 2025-08-14T21:25:14.8072709Z Entering 'third_party/fbgemm' 2025-08-14T21:25:14.8111168Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:14.8153246Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:14.8199310Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:14.8241294Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:14.8287382Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:14.8325412Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:14.8371745Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:14.8411134Z Entering 'third_party/flash-attention' 2025-08-14T21:25:14.8450447Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:14.8490400Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:14.8541365Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:14.8576361Z Entering 'third_party/fmt' 2025-08-14T21:25:14.8617936Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:14.8657295Z Entering 'third_party/gloo' 2025-08-14T21:25:14.8695704Z Entering 'third_party/googletest' 2025-08-14T21:25:14.8738611Z Entering 'third_party/ideep' 2025-08-14T21:25:14.8778119Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:14.8834415Z Entering 'third_party/ittapi' 2025-08-14T21:25:14.8878004Z Entering 'third_party/kineto' 2025-08-14T21:25:14.8910291Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:14.8955177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:14.8991533Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:14.9029387Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:14.9072122Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:14.9110271Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:14.9153362Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:14.9192210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:14.9237106Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:14.9274827Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:14.9319155Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:14.9359808Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:14.9403593Z Entering 'third_party/kleidiai' 2025-08-14T21:25:14.9456014Z Entering 'third_party/mimalloc' 2025-08-14T21:25:14.9497556Z Entering 'third_party/nlohmann' 2025-08-14T21:25:14.9537278Z Entering 'third_party/onnx' 2025-08-14T21:25:14.9593488Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:14.9633503Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:14.9673099Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:14.9710212Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:14.9758724Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:14.9796598Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:14.9834287Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:14.9874365Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:14.9908124Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:14.9944743Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:14.9986600Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:15.0026203Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:15.0082002Z Entering 'third_party/pocketfft' 2025-08-14T21:25:15.0121987Z Entering 'third_party/protobuf' 2025-08-14T21:25:15.0164528Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:15.0206244Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:15.0247814Z Entering 'third_party/psimd' 2025-08-14T21:25:15.0293125Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:15.0329640Z Entering 'third_party/pybind11' 2025-08-14T21:25:15.0373054Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:15.0410192Z Entering 'third_party/sleef' 2025-08-14T21:25:15.0451852Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:15.0489994Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:15.0527423Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:15.0569651Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:15.0606225Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:15.0647700Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:15.0703140Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:25:15.1005120Z Entering 'android/libs/fbjni' 2025-08-14T21:25:15.1050996Z Entering 'third_party/FP16' 2025-08-14T21:25:15.1092814Z Entering 'third_party/FXdiv' 2025-08-14T21:25:15.1141045Z Entering 'third_party/NNPACK' 2025-08-14T21:25:15.1179650Z Entering 'third_party/NVTX' 2025-08-14T21:25:15.1217401Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:15.1259274Z Entering 'third_party/XNNPACK' 2025-08-14T21:25:15.1304085Z Entering 'third_party/aiter' 2025-08-14T21:25:15.1347737Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:15.1395117Z Entering 'third_party/benchmark' 2025-08-14T21:25:15.1437505Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:15.1484985Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:15.1525976Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:15.1569172Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:15.1607879Z Entering 'third_party/cutlass' 2025-08-14T21:25:15.1651567Z Entering 'third_party/fbgemm' 2025-08-14T21:25:15.1691960Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:15.1735727Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:15.1782049Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:15.1818379Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:15.1866422Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:15.1906533Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:15.1948107Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:15.1991588Z Entering 'third_party/flash-attention' 2025-08-14T21:25:15.2030867Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:15.2084173Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:15.2132610Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:15.2172147Z Entering 'third_party/fmt' 2025-08-14T21:25:15.2211212Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:15.2255566Z Entering 'third_party/gloo' 2025-08-14T21:25:15.2295711Z Entering 'third_party/googletest' 2025-08-14T21:25:15.2335121Z Entering 'third_party/ideep' 2025-08-14T21:25:15.2372071Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:15.2411907Z Entering 'third_party/ittapi' 2025-08-14T21:25:15.2446864Z Entering 'third_party/kineto' 2025-08-14T21:25:15.2488363Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:15.2527307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:15.2565969Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:15.2600811Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:15.2646299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:15.2685727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:15.2731745Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:15.2775360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:15.2814206Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:15.2854929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:15.2896266Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:15.2942081Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:15.2987108Z Entering 'third_party/kleidiai' 2025-08-14T21:25:15.3025914Z Entering 'third_party/mimalloc' 2025-08-14T21:25:15.3068914Z Entering 'third_party/nlohmann' 2025-08-14T21:25:15.3103406Z Entering 'third_party/onnx' 2025-08-14T21:25:15.3152976Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:15.3196982Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:15.3266968Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:15.3303559Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:15.3338804Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:15.3376859Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:15.3413005Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:15.3452437Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:15.3499053Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:15.3542375Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:15.3584295Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:15.3627292Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:15.3687304Z Entering 'third_party/pocketfft' 2025-08-14T21:25:15.3730080Z Entering 'third_party/protobuf' 2025-08-14T21:25:15.3768332Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:15.3807806Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:15.3854361Z Entering 'third_party/psimd' 2025-08-14T21:25:15.3893946Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:15.3935899Z Entering 'third_party/pybind11' 2025-08-14T21:25:15.3982893Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:15.4022824Z Entering 'third_party/sleef' 2025-08-14T21:25:15.4068152Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:15.4101633Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:15.4144569Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:15.4184236Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:15.4228877Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:15.4266148Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:15.4314193Z ##[endgroup] 2025-08-14T21:25:15.4351930Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:25:15.4376348Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:15.4527095Z Prepare all required actions 2025-08-14T21:25:15.4527546Z Getting action download info 2025-08-14T21:25:15.5926858Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:25:15.5927077Z env: 2025-08-14T21:25:15.5927234Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:15.5927400Z ##[endgroup] 2025-08-14T21:25:15.5958656Z ##[group]Run set -euo pipefail 2025-08-14T21:25:15.5958899Z set -euo pipefail 2025-08-14T21:25:15.5959090Z function get_ec2_metadata() { 2025-08-14T21:25:15.5959322Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:25:15.5959695Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:25:15.5960022Z  category=$1 2025-08-14T21:25:15.5960243Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:25:15.5960508Z  runner_name_str=i-0f9ea389e01bef015 2025-08-14T21:25:15.5960783Z  if [[ -f /.inarc ]]; then 2025-08-14T21:25:15.5960997Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:25:15.5961236Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:25:15.5961518Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:25:15.5961768Z  else 2025-08-14T21:25:15.5962284Z  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}" 2025-08-14T21:25:15.5962816Z  fi 2025-08-14T21:25:15.5962968Z } 2025-08-14T21:25:15.5963143Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:25:15.5963413Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:25:15.5963707Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:25:15.5964111Z echo "system info $(uname -a)" 2025-08-14T21:25:15.5969906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:15.5970134Z env: 2025-08-14T21:25:15.5970286Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:15.5970446Z ##[endgroup] 2025-08-14T21:25:15.6104336Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:25:15.6206287Z instance-id: i-0f9ea389e01bef015 2025-08-14T21:25:15.6294940Z instance-type: m7i-flex.8xlarge 2025-08-14T21:25:15.6306852Z system info Linux ip-10-0-9-95.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:25:15.6326312Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:15.6326869Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:15.6332260Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:15.6332518Z env: 2025-08-14T21:25:15.6332679Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:15.6332864Z ##[endgroup] 2025-08-14T21:25:15.6385804Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:25:15.6386096Z if systemctl is-active --quiet docker; then 2025-08-14T21:25:15.6386337Z  echo "Docker daemon is running..."; 2025-08-14T21:25:15.6386534Z else 2025-08-14T21:25:15.6386759Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:25:15.6387031Z fi 2025-08-14T21:25:15.6390798Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:15.6391024Z env: 2025-08-14T21:25:15.6391181Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:15.6391356Z ##[endgroup] 2025-08-14T21:25:15.6469072Z Docker daemon is running... 2025-08-14T21:25:15.6515457Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:25:15.6515697Z with: 2025-08-14T21:25:15.6515857Z shell: bash 2025-08-14T21:25:15.6516142Z timeout_minutes: 5 2025-08-14T21:25:15.6516326Z max_attempts: 3 2025-08-14T21:25:15.6516501Z retry_wait_seconds: 30 2025-08-14T21:25:15.6517929Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:25:15.6519305Z polling_interval_seconds: 1 2025-08-14T21:25:15.6519511Z warning_on_retry: true 2025-08-14T21:25:15.6519704Z continue_on_error: false 2025-08-14T21:25:15.6519888Z env: 2025-08-14T21:25:15.6520052Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:15.6520243Z AWS_RETRY_MODE: standard 2025-08-14T21:25:15.6520421Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:25:15.6520613Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:25:15.6520810Z ##[endgroup] 2025-08-14T21:25:16.6668983Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:16.6672629Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:16.6678263Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:16.6679314Z 2025-08-14T21:25:16.6679541Z Login Succeeded 2025-08-14T21:25:16.8040228Z Command completed after 1 attempt(s). 2025-08-14T21:25:16.8103334Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:16.8103715Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:16.8104027Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:16.8111790Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:16.8112040Z env: 2025-08-14T21:25:16.8112208Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:16.8112384Z ##[endgroup] 2025-08-14T21:25:16.8195794Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:16.8196149Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:16.8196413Z # shellcheck disable=SC2046 2025-08-14T21:25:16.8196635Z docker stop $(docker ps -q) || true 2025-08-14T21:25:16.8196846Z # Prune all of the docker images 2025-08-14T21:25:16.8197062Z docker system prune -af 2025-08-14T21:25:16.8201007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:16.8201232Z env: 2025-08-14T21:25:16.8201389Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:16.8201566Z ##[endgroup] 2025-08-14T21:25:16.8848343Z "docker stop" requires at least 1 argument. 2025-08-14T21:25:16.8852025Z See 'docker stop --help'. 2025-08-14T21:25:16.8852170Z 2025-08-14T21:25:16.8852295Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:25:16.8852476Z 2025-08-14T21:25:16.8852557Z Stop one or more running containers 2025-08-14T21:25:16.9037049Z Total reclaimed space: 0B 2025-08-14T21:25:16.9071446Z ##[group]Run set +e 2025-08-14T21:25:16.9071668Z set +e 2025-08-14T21:25:16.9071838Z set -x 2025-08-14T21:25:16.9071996Z  2025-08-14T21:25:16.9072161Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:16.9072557Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:25:16.9073034Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:25:16.9073346Z # one is returned at random 2025-08-14T21:25:16.9073596Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:25:16.9073849Z  2025-08-14T21:25:16.9074143Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:16.9074409Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:25:16.9074730Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:25:16.9074972Z  2025-08-14T21:25:16.9075137Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:16.9075378Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:25:16.9075609Z  exit 1 2025-08-14T21:25:16.9075771Z  fi 2025-08-14T21:25:16.9075915Z fi 2025-08-14T21:25:16.9076062Z  2025-08-14T21:25:16.9076236Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:25:16.9076461Z  # Clean up any old records first 2025-08-14T21:25:16.9076692Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:25:16.9076895Z fi 2025-08-14T21:25:16.9077041Z  2025-08-14T21:25:16.9077237Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:25:16.9077483Z cat /etc/hosts 2025-08-14T21:25:16.9082095Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:16.9082329Z env: 2025-08-14T21:25:16.9082491Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:16.9082678Z ##[endgroup] 2025-08-14T21:25:16.9106788Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:16.9113409Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:25:16.9115952Z ++ tail -n1 2025-08-14T21:25:16.9480087Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:25:16.9484839Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:25:16.9486385Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:25:16.9496429Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:25:16.9496927Z + sudo tee -a /etc/hosts 2025-08-14T21:25:17.1950350Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:17.1975643Z + cat /etc/hosts 2025-08-14T21:25:17.2005961Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:25:17.2012036Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:25:17.2012322Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:17.2115528Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:25:17.2115866Z with: 2025-08-14T21:25:17.2116428Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2117026Z use-custom-docker-registry: true 2025-08-14T21:25:17.2117263Z docker-build-dir: .ci/docker 2025-08-14T21:25:17.2117473Z docker-build-script: ./build.sh 2025-08-14T21:25:17.2117673Z working-directory: . 2025-08-14T21:25:17.2117910Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:17.2118177Z force-push: false 2025-08-14T21:25:17.2118347Z env: 2025-08-14T21:25:17.2118516Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:17.2118724Z ##[endgroup] 2025-08-14T21:25:17.2132337Z ##[group]Run set -ex 2025-08-14T21:25:17.2132574Z set -ex 2025-08-14T21:25:17.2132747Z  2025-08-14T21:25:17.2133060Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:25:17.2133499Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:25:17.2133871Z # job could then download the pre-built image as usual 2025-08-14T21:25:17.2134335Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:25:17.2134757Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2134989Z else 2025-08-14T21:25:17.2135179Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2135490Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2135776Z  2025-08-14T21:25:17.2136140Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:25:17.2136544Z  exit 0 2025-08-14T21:25:17.2136837Z fi 2025-08-14T21:25:17.2137008Z  2025-08-14T21:25:17.2137255Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:25:17.2137674Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:25:17.2138041Z  # use it as it is, but first let's extract the tag 2025-08-14T21:25:17.2138377Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:25:17.2138687Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2138997Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2139244Z else 2025-08-14T21:25:17.2139424Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:25:17.2139668Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:25:17.2139915Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:25:17.2140123Z  fi 2025-08-14T21:25:17.2140402Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:25:17.2140771Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2141151Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2141575Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2141828Z fi 2025-08-14T21:25:17.2147672Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:17.2147936Z env: 2025-08-14T21:25:17.2148100Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:17.2148388Z REPO_NAME: pytorch 2025-08-14T21:25:17.2149025Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2149581Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:17.2149779Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:25:17.2150030Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:17.2150295Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:25:17.2150499Z CUSTOM_TAG_PREFIX: 2025-08-14T21:25:17.2150665Z ##[endgroup] 2025-08-14T21:25:17.2174635Z + [[ -d .ci/docker ]] 2025-08-14T21:25:17.2174867Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:25:17.2175074Z + [[ true == \t\r\u\e ]] 2025-08-14T21:25:17.2175240Z + echo skip=false 2025-08-14T21:25:17.2178508Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\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* ]] 2025-08-14T21:25:17.2181698Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2183238Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:25:17.2211779Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2212539Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2213907Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2230892Z ##[group]Run set +e 2025-08-14T21:25:17.2231103Z set +e 2025-08-14T21:25:17.2231269Z set -x 2025-08-14T21:25:17.2231432Z  2025-08-14T21:25:17.2231576Z login() { 2025-08-14T21:25:17.2231888Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:17.2232213Z } 2025-08-14T21:25:17.2232357Z  2025-08-14T21:25:17.2232655Z retry () { 2025-08-14T21:25:17.2232850Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:17.2233052Z } 2025-08-14T21:25:17.2233202Z  2025-08-14T21:25:17.2233365Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:17.2233575Z  2025-08-14T21:25:17.2233717Z START_TIME=$(date +%s) 2025-08-14T21:25:17.2233952Z # Wait up to 120 minutes 2025-08-14T21:25:17.2234209Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:25:17.2234504Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:25:17.2234806Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:25:17.2235039Z  exit 0 2025-08-14T21:25:17.2235186Z  fi 2025-08-14T21:25:17.2235331Z  2025-08-14T21:25:17.2235577Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:25:17.2235965Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:25:17.2236342Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:25:17.2236656Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:25:17.2236914Z  # It's a Docker build job, let's build the image 2025-08-14T21:25:17.2237129Z  break 2025-08-14T21:25:17.2237281Z  else 2025-08-14T21:25:17.2237499Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:25:17.2237749Z  sleep 300 2025-08-14T21:25:17.2237911Z  fi 2025-08-14T21:25:17.2238151Z done 2025-08-14T21:25:17.2238299Z  2025-08-14T21:25:17.2238517Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:25:17.2238934Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:25:17.2239252Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:25:17.2239533Z  # if we're on the base branch then use the parent commit 2025-08-14T21:25:17.2239779Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:25:17.2239986Z else 2025-08-14T21:25:17.2240192Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:25:17.2240470Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:25:17.2240688Z fi 2025-08-14T21:25:17.2240830Z  2025-08-14T21:25:17.2240988Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:25:17.2241210Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2241426Z  2025-08-14T21:25:17.2241714Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:25:17.2242032Z  exit 0 2025-08-14T21:25:17.2242188Z fi 2025-08-14T21:25:17.2242340Z  2025-08-14T21:25:17.2242529Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:25:17.2242921Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:25:17.2243256Z  exit 1 2025-08-14T21:25:17.2243403Z fi 2025-08-14T21:25:17.2243533Z  2025-08-14T21:25:17.2243760Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:25:17.2244135Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:25:17.2244472Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:25:17.2244855Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:25:17.2245284Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:25:17.2245547Z fi 2025-08-14T21:25:17.2245677Z  2025-08-14T21:25:17.2245844Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:17.2250519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:17.2250769Z env: 2025-08-14T21:25:17.2250924Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:17.2251101Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:17.2251330Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:17.2251907Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2252644Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.2253112Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:17.2253356Z DOCKER_PUSH: 2025-08-14T21:25:17.2253512Z ##[endgroup] 2025-08-14T21:25:17.2277920Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:17.2278237Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:17.2278506Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:17.6657310Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:17.6657845Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:17.6658189Z Login Succeeded 2025-08-14T21:25:17.6658483Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:17.6658929Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:17.6659510Z 2025-08-14T21:25:17.6679690Z ++ date +%s 2025-08-14T21:25:17.6685971Z + START_TIME=1755206717 2025-08-14T21:25:17.6691307Z ++ date +%s 2025-08-14T21:25:17.6697379Z + [[ 1755199517 -lt 1755206717 ]] 2025-08-14T21:25:17.6703006Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:17.9319467Z { 2025-08-14T21:25:17.9319701Z "schemaVersion": 2, 2025-08-14T21:25:17.9320017Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:25:17.9320313Z "config": { 2025-08-14T21:25:17.9320538Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:25:17.9320799Z "size": 30151, 2025-08-14T21:25:17.9321068Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:25:17.9409490Z }, 2025-08-14T21:25:17.9409623Z { 2025-08-14T21:25:17.9409829Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:25:17.9410082Z "size": 32, 2025-08-14T21:25:17.9410345Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:25:17.9410637Z } 2025-08-14T21:25:17.9410762Z ] 2025-08-14T21:25:17.9410896Z } 2025-08-14T21:25:17.9431744Z ##[group]Run set -eux 2025-08-14T21:25:17.9431946Z set -eux 2025-08-14T21:25:17.9432460Z 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 2025-08-14T21:25:17.9438862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:17.9439099Z env: 2025-08-14T21:25:17.9439251Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:17.9439413Z ##[endgroup] 2025-08-14T21:25:17.9465439Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:25:17.9470171Z + jq -r .docker_hub_readonly_token 2025-08-14T21:25:17.9475639Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:25:17.9480521Z + jq --raw-output .SecretString 2025-08-14T21:25:18.4124550Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:18.4124905Z Login Succeeded 2025-08-14T21:25:18.4127188Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:18.4130055Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:18.4130297Z 2025-08-14T21:25:18.4214207Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:18.4214499Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:18.4214777Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:25:18.4219850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:18.4220088Z env: 2025-08-14T21:25:18.4220234Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:18.4220795Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:18.4221322Z ##[endgroup] 2025-08-14T21:25:18.4248780Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:18.4280711Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:25:18.4281019Z with: 2025-08-14T21:25:18.4281556Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:18.4282173Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:18.4282433Z env: 2025-08-14T21:25:18.4282597Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:18.4282777Z ##[endgroup] 2025-08-14T21:25:18.4292250Z ##[group]Run set -x 2025-08-14T21:25:18.4292613Z set -x 2025-08-14T21:25:18.4292812Z set +e 2025-08-14T21:25:18.4293003Z  2025-08-14T21:25:18.4293178Z login() { 2025-08-14T21:25:18.4293561Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:18.4293959Z } 2025-08-14T21:25:18.4294130Z  2025-08-14T21:25:18.4294344Z retry () { 2025-08-14T21:25:18.4294571Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:18.4294827Z } 2025-08-14T21:25:18.4295003Z  2025-08-14T21:25:18.4295198Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:18.4295439Z  2025-08-14T21:25:18.4295816Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:25:18.4296309Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:25:18.4296600Z  2025-08-14T21:25:18.4296932Z set -e 2025-08-14T21:25:18.4297219Z # ignore output since only exit code is used for conditional 2025-08-14T21:25:18.4297601Z # only pull docker image if it's not available locally 2025-08-14T21:25:18.4298011Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:25:18.4298391Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:25:18.4298642Z fi 2025-08-14T21:25:18.4303199Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:18.4303488Z env: 2025-08-14T21:25:18.4303677Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:18.4304311Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:18.4305060Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:18.4305362Z ##[endgroup] 2025-08-14T21:25:18.4327111Z + set +e 2025-08-14T21:25:18.4332241Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:18.4332835Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:18.4333142Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:18.4333630Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:18.8595442Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:18.8596024Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:18.8596608Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:18.8596950Z Login Succeeded 2025-08-14T21:25:18.8597153Z 2025-08-14T21:25:18.8619961Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:18.8623333Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:25:19.1100325Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:25:19.1100627Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:25:19.1100880Z + set -e 2025-08-14T21:25:19.1101814Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:19.1102436Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:25:19.1241890Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:19.1243072Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:19.3671280Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:25:19.3674281Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:25:19.3674523Z c7b4a852a455: Pulling fs layer 2025-08-14T21:25:19.3674736Z e5a28988c893: Pulling fs layer 2025-08-14T21:25:19.3674930Z 76a69b57b683: Pulling fs layer 2025-08-14T21:25:19.3675125Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:25:19.3675326Z 836ab08052e8: Pulling fs layer 2025-08-14T21:25:19.3675545Z 53b11c77468c: Pulling fs layer 2025-08-14T21:25:19.3675732Z e97311a6a967: Pulling fs layer 2025-08-14T21:25:19.3675926Z 2c414689d31d: Pulling fs layer 2025-08-14T21:25:19.3676112Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:25:19.3676300Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:25:19.3676497Z fc6b37d40530: Pulling fs layer 2025-08-14T21:25:19.3676683Z 2e1657907860: Pulling fs layer 2025-08-14T21:25:19.3676867Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:25:19.3677074Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:25:19.3677256Z d6226eb61f82: Pulling fs layer 2025-08-14T21:25:19.3677436Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:25:19.3677620Z 60c725d21861: Pulling fs layer 2025-08-14T21:25:19.3677793Z a504e76e66a4: Pulling fs layer 2025-08-14T21:25:19.3677974Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:25:19.3678197Z 43273c22704f: Pulling fs layer 2025-08-14T21:25:19.3678402Z 89df389d042a: Pulling fs layer 2025-08-14T21:25:19.3678584Z 684349f50d94: Pulling fs layer 2025-08-14T21:25:19.3678767Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:25:19.3678945Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:25:19.3679122Z 98dda28f3395: Pulling fs layer 2025-08-14T21:25:19.3679303Z acf5babd87f2: Pulling fs layer 2025-08-14T21:25:19.3679473Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:25:19.3679652Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:25:19.3679830Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:25:19.3679995Z 2e1657907860: Waiting 2025-08-14T21:25:19.3680165Z 907c320fee2f: Pulling fs layer 2025-08-14T21:25:19.3680342Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:25:19.3680508Z 7b92d7a4b8c7: Waiting 2025-08-14T21:25:19.3680673Z 4f4fb700ef54: Waiting 2025-08-14T21:25:19.3680842Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:25:19.3681016Z d6226eb61f82: Waiting 2025-08-14T21:25:19.3681177Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:25:19.3681358Z 6738ba83282e: Pulling fs layer 2025-08-14T21:25:19.3681530Z 83c70f4266a6: Waiting 2025-08-14T21:25:19.3681680Z 60c725d21861: Waiting 2025-08-14T21:25:19.3681849Z dfb0f2488639: Pulling fs layer 2025-08-14T21:25:19.3682031Z dc833b0762f2: Pulling fs layer 2025-08-14T21:25:19.3682198Z a504e76e66a4: Waiting 2025-08-14T21:25:19.3682365Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:25:19.3682549Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:25:19.3682727Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:25:19.3682902Z 6d89b5f065d5: Waiting 2025-08-14T21:25:19.3683071Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:25:19.3683241Z 53b11c77468c: Waiting 2025-08-14T21:25:19.3683400Z fc6b37d40530: Waiting 2025-08-14T21:25:19.3683564Z 5b092eb06909: Pulling fs layer 2025-08-14T21:25:19.3683742Z bc5961031092: Pulling fs layer 2025-08-14T21:25:19.3683923Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:25:19.3684102Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:25:19.3684270Z 5a5cc76ada43: Waiting 2025-08-14T21:25:19.3684434Z e06d15594a2a: Pulling fs layer 2025-08-14T21:25:19.3684613Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:25:19.3684793Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:25:19.3685168Z e97311a6a967: Waiting 2025-08-14T21:25:19.3685342Z 1519daa051b8: Pulling fs layer 2025-08-14T21:25:19.3685518Z 2c414689d31d: Waiting 2025-08-14T21:25:19.3685671Z fc1c200a4f77: Waiting 2025-08-14T21:25:19.3685838Z 381ed91d2119: Pulling fs layer 2025-08-14T21:25:19.3686024Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:25:19.3686205Z 62df6413daee: Pulling fs layer 2025-08-14T21:25:19.3686379Z 43273c22704f: Waiting 2025-08-14T21:25:19.3686580Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:25:19.3686755Z 89df389d042a: Waiting 2025-08-14T21:25:19.3686906Z 684349f50d94: Waiting 2025-08-14T21:25:19.3687117Z 21d0eae87fb3: Waiting 2025-08-14T21:25:19.3687283Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:25:19.3687451Z 76a69b57b683: Waiting 2025-08-14T21:25:19.3687613Z c9c2b424b8e0: Waiting 2025-08-14T21:25:19.3687779Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:25:19.3687947Z 5c785dcb4cdb: Waiting 2025-08-14T21:25:19.3688116Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:25:19.3688297Z 836ab08052e8: Waiting 2025-08-14T21:25:19.3688466Z bad0564f61fd: Pulling fs layer 2025-08-14T21:25:19.3688642Z 539ded905736: Pulling fs layer 2025-08-14T21:25:19.3688812Z 98dda28f3395: Waiting 2025-08-14T21:25:19.3688962Z 28d482062637: Pulling fs layer 2025-08-14T21:25:19.3689129Z 6738ba83282e: Waiting 2025-08-14T21:25:19.3689292Z 3245316ff51b: Pulling fs layer 2025-08-14T21:25:19.3689458Z acf5babd87f2: Waiting 2025-08-14T21:25:19.3689623Z b53167d1a6df: Pulling fs layer 2025-08-14T21:25:19.3689800Z 7f5277f69167: Pulling fs layer 2025-08-14T21:25:19.3689967Z 7c5050d8408d: Waiting 2025-08-14T21:25:19.3690115Z 18c4ed1ec491: Waiting 2025-08-14T21:25:19.3690275Z d7618c2df6cd: Waiting 2025-08-14T21:25:19.3690426Z b7bdd9a6f789: Waiting 2025-08-14T21:25:19.3715676Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:25:19.3715936Z 907c320fee2f: Waiting 2025-08-14T21:25:19.3716134Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:25:19.3716334Z 0e55deb5cb38: Waiting 2025-08-14T21:25:19.3716502Z 1519daa051b8: Waiting 2025-08-14T21:25:19.3716690Z 381ed91d2119: Waiting 2025-08-14T21:25:19.3716861Z 7ddd14e2b548: Waiting 2025-08-14T21:25:19.3717077Z 4ba8e7a736c8: Waiting 2025-08-14T21:25:19.3717331Z c6b0a01a96dd: Waiting 2025-08-14T21:25:19.3717565Z 62df6413daee: Waiting 2025-08-14T21:25:19.3717767Z 7a18bc2a6881: Waiting 2025-08-14T21:25:19.3717982Z dfb0f2488639: Waiting 2025-08-14T21:25:19.3718192Z 733eedc8da8d: Waiting 2025-08-14T21:25:19.3718353Z 5b092eb06909: Waiting 2025-08-14T21:25:19.3718523Z dc833b0762f2: Waiting 2025-08-14T21:25:19.3718697Z fac8f3bd0f85: Waiting 2025-08-14T21:25:19.3718856Z d7cf7f140df3: Waiting 2025-08-14T21:25:19.3719027Z bc5961031092: Waiting 2025-08-14T21:25:19.3719210Z 0531cc34c12a: Waiting 2025-08-14T21:25:19.3719364Z 8827df8ca2da: Waiting 2025-08-14T21:25:19.3719528Z 4a53d66dce07: Waiting 2025-08-14T21:25:19.3719692Z 9fb73296da6a: Waiting 2025-08-14T21:25:19.3719844Z bad0564f61fd: Waiting 2025-08-14T21:25:19.3720001Z 28d482062637: Waiting 2025-08-14T21:25:19.3720158Z 3245316ff51b: Waiting 2025-08-14T21:25:19.3720314Z c35ba0a1f353: Waiting 2025-08-14T21:25:19.3720475Z 23dff10cdaa5: Waiting 2025-08-14T21:25:19.3720634Z 7f5277f69167: Waiting 2025-08-14T21:25:19.3720780Z b53167d1a6df: Waiting 2025-08-14T21:25:19.3720938Z 539ded905736: Waiting 2025-08-14T21:25:19.3721103Z 93359cd58a8c: Waiting 2025-08-14T21:25:19.3721267Z dcf1e01c98d6: Waiting 2025-08-14T21:25:19.5173339Z c7b4a852a455: Verifying Checksum 2025-08-14T21:25:19.5173636Z c7b4a852a455: Download complete 2025-08-14T21:25:19.6235470Z 76a69b57b683: Verifying Checksum 2025-08-14T21:25:19.6235761Z 76a69b57b683: Download complete 2025-08-14T21:25:19.7178056Z 5c785dcb4cdb: Download complete 2025-08-14T21:25:19.7374621Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:25:19.7374919Z 660ffc76f83b: Download complete 2025-08-14T21:25:19.8229013Z 836ab08052e8: Verifying Checksum 2025-08-14T21:25:19.8230788Z 836ab08052e8: Download complete 2025-08-14T21:25:19.8454601Z 53b11c77468c: Verifying Checksum 2025-08-14T21:25:19.8454896Z 53b11c77468c: Download complete 2025-08-14T21:25:19.8987406Z e97311a6a967: Download complete 2025-08-14T21:25:20.0044060Z 6d89b5f065d5: Verifying Checksum 2025-08-14T21:25:20.0044371Z 6d89b5f065d5: Download complete 2025-08-14T21:25:20.0699834Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:25:20.0700321Z 5a5cc76ada43: Download complete 2025-08-14T21:25:20.1728631Z fc6b37d40530: Verifying Checksum 2025-08-14T21:25:20.1732244Z fc6b37d40530: Download complete 2025-08-14T21:25:20.2556345Z 2e1657907860: Verifying Checksum 2025-08-14T21:25:20.2556640Z 2e1657907860: Download complete 2025-08-14T21:25:20.8270189Z 660ffc76f83b: Pull complete 2025-08-14T21:25:20.8387636Z c7b4a852a455: Pull complete 2025-08-14T21:25:21.0037338Z 2c414689d31d: Verifying Checksum 2025-08-14T21:25:21.0037647Z 2c414689d31d: Download complete 2025-08-14T21:25:21.0150411Z 4f4fb700ef54: Verifying Checksum 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7f5277f69167: Pull complete 2025-08-14T21:34:59.9737093Z 23dff10cdaa5: Pull complete 2025-08-14T21:35:02.5954165Z 9fb73296da6a: Pull complete 2025-08-14T21:35:03.2286179Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:35:03.3037858Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:03.3464401Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:03.3543539Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:03.3544112Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:03.3551619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:03.3551857Z env: 2025-08-14T21:35:03.3552018Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:03.3552215Z ##[endgroup] 2025-08-14T21:35:03.3626911Z Prepare all required actions 2025-08-14T21:35:03.3663561Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:35:03.3663803Z with: 2025-08-14T21:35:03.3664385Z github-token: *** 2025-08-14T21:35:03.3664560Z env: 2025-08-14T21:35:03.3664712Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:03.3664902Z ##[endgroup] 2025-08-14T21:35:03.3815067Z ##[group]Run set -eux 2025-08-14T21:35:03.3815300Z set -eux 2025-08-14T21:35:03.3815622Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:35:03.3820734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:03.3820993Z env: 2025-08-14T21:35:03.3821166Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:03.3821622Z GITHUB_TOKEN: *** 2025-08-14T21:35:03.3821791Z ##[endgroup] 2025-08-14T21:35:03.3845037Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0f9ea389e01bef015 2025-08-14T21:35:04.8623121Z Setting output job-id=48128261044 2025-08-14T21:35:04.8626533Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:04.8748663Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:04.8749113Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:04.8749683Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:35:04.8750191Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:04.8755787Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:04.8756017Z env: 2025-08-14T21:35:04.8756176Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:04.8756355Z JOB_ID: 48128261044 2025-08-14T21:35:04.8756691Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:04.8757211Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:35:04.8757445Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:35:04.8757625Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:35:04.8757814Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:35:04.8758003Z ##[endgroup] 2025-08-14T21:35:05.6710829Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:06.0109522Z Collecting psutil==5.9.8 2025-08-14T21:35:06.0305940Z 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) 2025-08-14T21:35:06.1184970Z Collecting dataclasses_json==0.6.7 2025-08-14T21:35:06.1217696Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:35:06.1544576Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:35:06.1580269Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:35:06.2657130Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:35:06.2697113Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:35:06.3228058Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:35:06.3270240Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:35:06.4382672Z Collecting packaging>=17.0 2025-08-14T21:35:06.4424524Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:35:06.5830557Z Collecting typing-extensions>=3.7.4 2025-08-14T21:35:06.5871163Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:35:06.6788823Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:35:06.6827382Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:35:07.0025496Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:35:07.5921902Z 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-4.14.1 typing-inspect-0.9.0 2025-08-14T21:35:07.8279580Z Prepare all required actions 2025-08-14T21:35:07.8279864Z Getting action download info 2025-08-14T21:35:07.9748831Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:35:08.5973744Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:35:10.1951990Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:35:10.1952256Z with: 2025-08-14T21:35:10.1952425Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:10.1952624Z s3-bucket: gha-artifacts 2025-08-14T21:35:10.1952798Z env: 2025-08-14T21:35:10.1952940Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:10.1953103Z ##[endgroup] 2025-08-14T21:35:10.2027760Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:10.2028001Z with: 2025-08-14T21:35:10.2028174Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:10.2028414Z s3-bucket: gha-artifacts 2025-08-14T21:35:10.2028653Z region: us-east-1 2025-08-14T21:35:10.2028817Z env: 2025-08-14T21:35:10.2028978Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:10.2029167Z ##[endgroup] 2025-08-14T21:35:10.9128434Z (node:47863) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:10.9128799Z 2025-08-14T21:35:10.9128945Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:10.9129297Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:10.9129658Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:12.1091317Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:35:12.1091825Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:16.7267431Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:16.7270784Z Artifact download has finished successfully 2025-08-14T21:35:16.7476918Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:35:16.7477149Z unzip -o artifacts.zip 2025-08-14T21:35:16.7481469Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:16.7481694Z env: 2025-08-14T21:35:16.7481844Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:16.7482016Z ##[endgroup] 2025-08-14T21:35:16.7547095Z Archive: artifacts.zip 2025-08-14T21:35:16.7547329Z creating: dist/ 2025-08-14T21:35:17.8363495Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:17.8363907Z creating: dist/vision/ 2025-08-14T21:35:17.8443723Z inflating: 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2025-08-14T21:35:23.5067400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:23.5067650Z env: 2025-08-14T21:35:23.5067801Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.5067973Z ##[endgroup] 2025-08-14T21:35:23.5428865Z ##[group]Run df -H 2025-08-14T21:35:23.5429055Z df -H 2025-08-14T21:35:23.5433528Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:23.5433785Z env: 2025-08-14T21:35:23.5433954Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.5434133Z ##[endgroup] 2025-08-14T21:35:23.5473047Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:35:23.5473433Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:35:23.5476560Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:35:23.5476815Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:35:23.5482186Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:35:23.5482679Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:35:23.5483086Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:35:23.5506430Z Prepare all required actions 2025-08-14T21:35:23.5507292Z Getting action download info 2025-08-14T21:35:23.7183410Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:35:23.7183689Z with: 2025-08-14T21:35:23.7183855Z env: 2025-08-14T21:35:23.7184031Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.7184251Z ##[endgroup] 2025-08-14T21:35:23.7598301Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:23.7598527Z with: 2025-08-14T21:35:23.7598678Z name: td_results 2025-08-14T21:35:23.7598844Z s3-bucket: gha-artifacts 2025-08-14T21:35:23.7599014Z region: us-east-1 2025-08-14T21:35:23.7599168Z env: 2025-08-14T21:35:23.7599313Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.7599477Z ##[endgroup] 2025-08-14T21:35:24.1005002Z (node:47885) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:24.1007644Z 2025-08-14T21:35:24.1007970Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:24.1008329Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:24.1008784Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:24.1785754Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:35:24.1791897Z Artifact download has finished successfully 2025-08-14T21:35:24.1962734Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:35:24.1962986Z mkdir -p .additional_ci_files 2025-08-14T21:35:24.1963253Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:35:24.1968262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:24.1968500Z env: 2025-08-14T21:35:24.1968658Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:24.1968823Z ##[endgroup] 2025-08-14T21:35:24.2018861Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:35:24.2049290Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:35:24.2049540Z .github/scripts/parse_ref.py 2025-08-14T21:35:24.2053405Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:24.2053594Z env: 2025-08-14T21:35:24.2053751Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:24.2053927Z ##[endgroup] 2025-08-14T21:35:24.2235794Z Setting output branch=main 2025-08-14T21:35:24.2319245Z Prepare all required actions 2025-08-14T21:35:24.2319674Z Getting action download info 2025-08-14T21:35:24.3375122Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:35:24.3375391Z with: 2025-08-14T21:35:24.3375877Z github-token: *** 2025-08-14T21:35:24.3380356Z test-matrix: {"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:35:24.3385148Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:24.3385537Z env: 2025-08-14T21:35:24.3385698Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:24.3385876Z ##[endgroup] 2025-08-14T21:35:24.3585405Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:35:24.3585615Z with: 2025-08-14T21:35:24.3585810Z shell: bash 2025-08-14T21:35:24.3585989Z timeout_minutes: 10 2025-08-14T21:35:24.3586154Z max_attempts: 5 2025-08-14T21:35:24.3586320Z retry_wait_seconds: 30 2025-08-14T21:35:24.3586791Z 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 2025-08-14T21:35:24.3587264Z polling_interval_seconds: 1 2025-08-14T21:35:24.3587446Z warning_on_retry: true 2025-08-14T21:35:24.3587623Z continue_on_error: false 2025-08-14T21:35:24.3587798Z env: 2025-08-14T21:35:24.3587942Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:24.3588315Z GITHUB_TOKEN: *** 2025-08-14T21:35:24.3588474Z ##[endgroup] 2025-08-14T21:35:24.5593534Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:35:24.7279210Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:24.8318511Z Collecting requests==2.27.1 2025-08-14T21:35:24.8475844Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:35:25.0332570Z Collecting pyyaml==6.0.2 2025-08-14T21:35:25.0368021Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:35:25.1238584Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:35:25.4132846Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:35:25.4175684Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:35:25.5720837Z Collecting certifi>=2017.4.17 2025-08-14T21:35:25.5755421Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:35:25.6197262Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:35:25.6788919Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:35:26.1246122Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:35:26.4185977Z Command completed after 1 attempt(s). 2025-08-14T21:35:26.4258827Z ##[group]Run set -x 2025-08-14T21:35:26.4259035Z set -x 2025-08-14T21:35:26.4259204Z  2025-08-14T21:35:26.4259475Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:26.4259832Z # in runner workspace 2025-08-14T21:35:26.4260118Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:35:26.4265811Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:26.4266069Z env: 2025-08-14T21:35:26.4266229Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:26.4266409Z ##[endgroup] 2025-08-14T21:35:26.4289446Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:35:26.4437794Z Setting output branch=main 2025-08-14T21:35:26.4495669Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:26.4496003Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:26.4496423Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:35:26.4496645Z  2025-08-14T21:35:26.4496924Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:26.4497254Z # in runner workspace 2025-08-14T21:35:26.4497569Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:35:26.4497871Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:35:26.4498095Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:35:26.4502410Z  --test-matrix "{"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]}" \ 2025-08-14T21:35:26.4507066Z  --selected-test-configs "" \ 2025-08-14T21:35:26.4507340Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:35:26.4507588Z  --tag "${TAG}" \ 2025-08-14T21:35:26.4507823Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:35:26.4508077Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:35:26.4508308Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:35:26.4513793Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:26.4514065Z env: 2025-08-14T21:35:26.4514246Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:26.4514825Z GITHUB_TOKEN: *** 2025-08-14T21:35:26.4515231Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:26.4515635Z PR_NUMBER: 2025-08-14T21:35:26.4515811Z TAG: 2025-08-14T21:35:26.4515977Z EVENT_NAME: schedule 2025-08-14T21:35:26.4516172Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:35:26.4516403Z HEAD_BRANCH: main 2025-08-14T21:35:26.4516589Z ##[endgroup] 2025-08-14T21:35:26.4541393Z Workflow: inductor-periodic 2025-08-14T21:35:26.4541911Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:26.6121941Z Setting output keep-going=True 2025-08-14T21:35:26.6123366Z Setting output ci-verbose-test-logs=False 2025-08-14T21:35:26.6123611Z Setting output ci-test-showlocals=False 2025-08-14T21:35:26.6123865Z Setting output ci-no-test-timeout=False 2025-08-14T21:35:26.6124067Z Setting output ci-no-td=False 2025-08-14T21:35:26.6124257Z Setting output ci-td-distributed=False 2025-08-14T21:35:26.6124463Z Setting output is-unstable=False 2025-08-14T21:35:26.6124655Z Setting output reenabled-issues= 2025-08-14T21:35:26.6128914Z Setting output test-matrix={"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:35:26.6133056Z Setting output is-test-matrix-empty=False 2025-08-14T21:35:26.6236777Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:35:26.6237020Z echo "Filtered matrix:" 2025-08-14T21:35:26.6240946Z echo "{"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]}" 2025-08-14T21:35:26.6245109Z  2025-08-14T21:35:26.6245264Z echo 2025-08-14T21:35:26.6245462Z echo "Is the current job unstable? False" 2025-08-14T21:35:26.6245716Z  2025-08-14T21:35:26.6245883Z echo 2025-08-14T21:35:26.6246089Z echo "Is keep-going label set? True" 2025-08-14T21:35:26.6246408Z  2025-08-14T21:35:26.6246565Z echo 2025-08-14T21:35:26.6246819Z echo "Reenabled issues? " 2025-08-14T21:35:26.6251543Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:26.6251851Z env: 2025-08-14T21:35:26.6252019Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:26.6252201Z ##[endgroup] 2025-08-14T21:35:26.6277146Z Filtered matrix: 2025-08-14T21:35:26.6284805Z {include: [{config: cpu_inductor_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}]} 2025-08-14T21:35:26.6288858Z 2025-08-14T21:35:26.6288950Z Is the current job unstable? False 2025-08-14T21:35:26.6289094Z 2025-08-14T21:35:26.6289192Z Is keep-going label set? True 2025-08-14T21:35:26.6289325Z 2025-08-14T21:35:26.6289405Z Reenabled issues? 2025-08-14T21:35:26.6320275Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:26.6320626Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:26.6324909Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:26.6325165Z env: 2025-08-14T21:35:26.6325347Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:26.6325528Z JOB_TIMEOUT: 240 2025-08-14T21:35:26.6325703Z ##[endgroup] 2025-08-14T21:35:26.6366258Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:26.6366581Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:26.6366848Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:26.6370424Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:26.6370649Z env: 2025-08-14T21:35:26.6370795Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:26.6370961Z ##[endgroup] 2025-08-14T21:35:26.6459338Z ##[group]Run set -x 2025-08-14T21:35:26.6459574Z set -x 2025-08-14T21:35:26.6459721Z  2025-08-14T21:35:26.6459894Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:35:26.6460155Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:35:26.6460401Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:35:26.6460727Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:35:26.6460924Z else 2025-08-14T21:35:26.6461101Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:26.6461299Z fi 2025-08-14T21:35:26.6461452Z  2025-08-14T21:35:26.6461634Z # Leaving 1GB for the runner and other things 2025-08-14T21:35:26.6461983Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:35:26.6462512Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:35:26.6462927Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:35:26.6463242Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:35:26.6463497Z  2025-08-14T21:35:26.6463684Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:35:26.6463907Z  SHM_OPTS= 2025-08-14T21:35:26.6464081Z  JENKINS_USER= 2025-08-14T21:35:26.6464359Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:35:26.6464643Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:35:26.6464891Z  # when job is cancelled 2025-08-14T21:35:26.6465096Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:35:26.6465287Z else 2025-08-14T21:35:26.6465453Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:35:26.6465673Z  JENKINS_USER="--user jenkins" 2025-08-14T21:35:26.6465876Z  DOCKER_SHELL_CMD= 2025-08-14T21:35:26.6466043Z fi 2025-08-14T21:35:26.6466184Z  2025-08-14T21:35:26.6466401Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:35:26.6466716Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:35:26.6467074Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:35:26.6467409Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:35:26.6467633Z container_name=$(docker run \ 2025-08-14T21:35:26.6467834Z  ${GPU_FLAG:-} \ 2025-08-14T21:35:26.6468046Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:35:26.6468275Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:35:26.6468470Z  -e PR_NUMBER \ 2025-08-14T21:35:26.6468660Z  -e GITHUB_ACTIONS \ 2025-08-14T21:35:26.6468859Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:35:26.6469060Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:35:26.6469248Z  -e GITHUB_JOB \ 2025-08-14T21:35:26.6469431Z  -e GITHUB_RUN_ID \ 2025-08-14T21:35:26.6469619Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:35:26.6469809Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:35:26.6470008Z  -e JOB_ID \ 2025-08-14T21:35:26.6470186Z  -e JOB_NAME \ 2025-08-14T21:35:26.6470359Z  -e BASE_SHA \ 2025-08-14T21:35:26.6470532Z  -e BRANCH \ 2025-08-14T21:35:26.6470700Z  -e SHA1 \ 2025-08-14T21:35:26.6470868Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:35:26.6471065Z  -e IN_WHEEL_TEST \ 2025-08-14T21:35:26.6471250Z  -e SHARD_NUMBER \ 2025-08-14T21:35:26.6471436Z  -e TEST_CONFIG \ 2025-08-14T21:35:26.6471614Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:35:26.6471811Z  -e REENABLED_ISSUES \ 2025-08-14T21:35:26.6472013Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:35:26.6472290Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:35:26.6472496Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:35:26.6472689Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:35:26.6472865Z  -e NO_TD \ 2025-08-14T21:35:26.6473047Z  -e TD_DISTRIBUTED \ 2025-08-14T21:35:26.6473239Z  -e PR_LABELS \ 2025-08-14T21:35:26.6473446Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:35:26.6473795Z  -e SCCACHE_BUCKET \ 2025-08-14T21:35:26.6473985Z  -e SCCACHE_REGION \ 2025-08-14T21:35:26.6474170Z  -e XLA_CUDA \ 2025-08-14T21:35:26.6474361Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:35:26.6474598Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:35:26.6474841Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:35:26.6475073Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:35:26.6475296Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:35:26.6475519Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:35:26.6475734Z  -e DASHBOARD_TAG \ 2025-08-14T21:35:26.6475922Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:35:26.6476166Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:35:26.6476435Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:35:26.6476700Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:35:26.6476948Z  --security-opt seccomp=unconfined \ 2025-08-14T21:35:26.6477160Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:35:26.6477345Z  --ipc=host \ 2025-08-14T21:35:26.6477508Z  ${SHM_OPTS} \ 2025-08-14T21:35:26.6477674Z  --tty \ 2025-08-14T21:35:26.6477831Z  --detach \ 2025-08-14T21:35:26.6477999Z  --name="${container_name}" \ 2025-08-14T21:35:26.6478200Z  ${JENKINS_USER} \ 2025-08-14T21:35:26.6478419Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:35:26.6478658Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:35:26.6478861Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:35:26.6479042Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:35:26.6479205Z ) 2025-08-14T21:35:26.6479401Z # Propagate download.pytorch.org IP to container 2025-08-14T21:35:26.6479797Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:35:26.6480209Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:35:26.6480449Z  2025-08-14T21:35:26.6480626Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:35:26.6480972Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:35:26.6481275Z fi 2025-08-14T21:35:26.6481408Z  2025-08-14T21:35:26.6481704Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:35:26.6485404Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:26.6485569Z env: 2025-08-14T21:35:26.6485726Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:26.6485942Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:26.6486156Z PR_NUMBER: 2025-08-14T21:35:26.6486322Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:35:26.6486534Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:35:26.6486713Z GITHUB_JOB: test 2025-08-14T21:35:26.6486874Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:35:26.6487060Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:35:26.6487223Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:35:26.6487377Z JOB_ID: 48128261044 2025-08-14T21:35:26.6487690Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:26.6488016Z BRANCH: main 2025-08-14T21:35:26.6488181Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:26.6488476Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:26.6488712Z TEST_CONFIG: cpu_inductor_amp_freezing_timm 2025-08-14T21:35:26.6488907Z SHARD_NUMBER: 2 2025-08-14T21:35:26.6489063Z NUM_TEST_SHARDS: 2 2025-08-14T21:35:26.6489221Z REENABLED_ISSUES: 2025-08-14T21:35:26.6489386Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:35:26.6489560Z VERBOSE_TEST_LOGS: False 2025-08-14T21:35:26.6489773Z TEST_SHOWLOCALS: False 2025-08-14T21:35:26.6489941Z NO_TEST_TIMEOUT: False 2025-08-14T21:35:26.6490093Z NO_TD: False 2025-08-14T21:35:26.6490242Z TD_DISTRIBUTED: False 2025-08-14T21:35:26.6490443Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:35:26.6490659Z SCCACHE_REGION: us-east-1 2025-08-14T21:35:26.6490832Z SHM_SIZE: 1g 2025-08-14T21:35:26.6491322Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:26.6491827Z XLA_CUDA: 2025-08-14T21:35:26.6492053Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:26.6492336Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:35:26.6492540Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:35:26.6492725Z DASHBOARD_TAG: 2025-08-14T21:35:26.6493048Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:35:26.6493310Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:35:26.6493624Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:35:26.6493918Z ##[endgroup] 2025-08-14T21:35:26.6516804Z + [[ cpu_inductor_amp_freezing_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:35:26.6519672Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:35:26.6524457Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:26.6526392Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:35:26.6534834Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:35:26.6535118Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:35:26.6535383Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:26.6535624Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:35:26.6535817Z + JENKINS_USER='--user jenkins' 2025-08-14T21:35:26.6536013Z + DOCKER_SHELL_CMD= 2025-08-14T21:35:26.6544569Z +++ nproc --ignore=2 2025-08-14T21:35:26.6572226Z ++ 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 SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_16976338999 --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-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:38.7383049Z + container_name=c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:35:38.7387863Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:35:38.7388387Z + docker exec -i c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:35:38.8602849Z + echo DOCKER_CONTAINER_ID=c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:35:38.8604029Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:38.8608056Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:38.8610551Z + docker exec -t c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:35:39.2052538Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:35:39.4145433Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:35:39.4146506Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1) 2025-08-14T21:35:39.4153279Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3) 2025-08-14T21:35:39.4159118Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8) 2025-08-14T21:35:39.4163421Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:35:39.4168348Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0) 2025-08-14T21:35:39.4170070Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0) 2025-08-14T21:35:39.4450853Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4) 2025-08-14T21:35:39.4465792Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0) 2025-08-14T21:35:39.4512554Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:35:40.1906416Z Installing collected packages: torch 2025-08-14T21:35:47.2247117Z 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. 2025-08-14T21:35:47.2247712Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:47.2248003Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:47.2248371Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:47.2248864Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:47.2249341Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:47.2249670Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:47.3240018Z + export TERM=vt100 2025-08-14T21:35:47.3243032Z + TERM=vt100 2025-08-14T21:35:47.3243397Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:47.3249870Z + source .ci/pytorch/common.sh 2025-08-14T21:35:47.3250361Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:47.3250618Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:47.3251020Z +++ declare -f -t trap_add 2025-08-14T21:35:47.3256815Z ++ set -ex -o pipefail 2025-08-14T21:35:47.3260292Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:47.3260638Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:47.3269118Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:47.3278014Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:47.3280590Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:35:47.3286509Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:47.3292336Z +++ cd .ci/pytorch 2025-08-14T21:35:47.3292657Z +++ pwd -P 2025-08-14T21:35:47.3292929Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:35:47.3293274Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:35:47.3293947Z ++ which sccache 2025-08-14T21:35:47.3313158Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:35:47.3313576Z ++ sccache --stop-server 2025-08-14T21:35:47.3345920Z ++ true 2025-08-14T21:35:47.3351552Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:47.3351842Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:47.3352067Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:47.3352253Z ++ shift 2025-08-14T21:35:47.3352419Z ++ for trap_add_name in "$@" 2025-08-14T21:35:47.3366912Z ++++ trap -p EXIT 2025-08-14T21:35:47.3367145Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:47.3367364Z ++++ extract_trap_cmd 2025-08-14T21:35:47.3367539Z ++++ printf '%s\n' '' 2025-08-14T21:35:47.3370647Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:47.3371047Z ++ trap -- ' 2025-08-14T21:35:47.3371236Z sccache_epilogue' EXIT 2025-08-14T21:35:47.3371414Z ++ [[ -n 1 ]] 2025-08-14T21:35:47.3371806Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:35:47.3372206Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:35:47.3372495Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:47.3372700Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:47.3372941Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:47.3373222Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:47.3373519Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:35:47.3373739Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:35:47.3373943Z ++ sccache --zero-stats 2025-08-14T21:35:47.5007285Z Statistics zeroed. 2025-08-14T21:35:47.5007743Z ++ which ccache 2025-08-14T21:35:47.5041478Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:35:47.5041797Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:35:47.5042053Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:35:47.5048689Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:35:47.5055663Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:35:47.5055970Z + trap_add cleanup_workspace EXIT 2025-08-14T21:35:47.5056205Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:35:47.5056495Z + shift 2025-08-14T21:35:47.5056674Z + for trap_add_name in "$@" 2025-08-14T21:35:47.5068604Z +++ trap -p EXIT 2025-08-14T21:35:47.5072341Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:35:47.5077993Z sccache_epilogue'\'' EXIT' 2025-08-14T21:35:47.5083354Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:35:47.5089122Z sccache_epilogue' EXIT 2025-08-14T21:35:47.5089364Z +++ printf '%s\n' ' 2025-08-14T21:35:47.5089539Z sccache_epilogue' 2025-08-14T21:35:47.5089751Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:35:47.5089961Z + trap -- ' 2025-08-14T21:35:47.5090112Z sccache_epilogue 2025-08-14T21:35:47.5090284Z cleanup_workspace' EXIT 2025-08-14T21:35:47.5090502Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:35:47.9416804Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:35:47.9439869Z + echo 'Environment variables:' 2025-08-14T21:35:47.9446781Z Environment variables: 2025-08-14T21:35:47.9447602Z + env 2025-08-14T21:35:47.9447963Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:47.9448299Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:47.9448539Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:47.9448795Z HOSTNAME=c7e825bafeb3 2025-08-14T21:35:47.9449223Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9449692Z GITHUB_ACTION=__run_2 2025-08-14T21:35:47.9450163Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:47.9450406Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:47.9450624Z TEST_CONFIG=cpu_inductor_amp_freezing_timm 2025-08-14T21:35:47.9450921Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:47.9451173Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:47.9451406Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:47.9451863Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:47.9452207Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:47.9452440Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:47.9452644Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:47.9452881Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9453119Z XLA_CUDA= 2025-08-14T21:35:47.9453299Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:47.9453594Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:47.9454068Z *** 2025-08-14T21:35:47.9454239Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:47.9454450Z GITHUB_ACTIONS=true 2025-08-14T21:35:47.9454789Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:47.9455061Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9455326Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9455728Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:47.9456085Z UCC_HOME=/usr 2025-08-14T21:35:47.9456339Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:47.9456560Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:47.9456750Z SHARD_NUMBER=2 2025-08-14T21:35:47.9456933Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:47.9457129Z HOME=/var/lib/jenkins 2025-08-14T21:35:47.9457335Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:47.9457593Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:47.9457800Z UCX_COMMIT= 2025-08-14T21:35:47.9457949Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:47.9458118Z NUM_TEST_SHARDS=2 2025-08-14T21:35:47.9458286Z UCX_HOME=/usr 2025-08-14T21:35:47.9458677Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9459276Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:47.9459857Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9460377Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:47.9460711Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:47.9460901Z DASHBOARD_TAG= 2025-08-14T21:35:47.9461071Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:47.9461258Z INSTALLED_OPENBLAS= 2025-08-14T21:35:47.9461662Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9462098Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:47.9462289Z PR_NUMBER= 2025-08-14T21:35:47.9462436Z DESIRED_CUDA= 2025-08-14T21:35:47.9462603Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:47.9462793Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:47.9463021Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:47.9463256Z TERM=vt100 2025-08-14T21:35:47.9463415Z INSTALLED_VISION=yes 2025-08-14T21:35:47.9463578Z BRANCH=main 2025-08-14T21:35:47.9463764Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:47.9463964Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:47.9464168Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:47.9464526Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:47.9464909Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:47.9465132Z UCC_COMMIT= 2025-08-14T21:35:47.9465281Z REENABLED_ISSUES= 2025-08-14T21:35:47.9465449Z DOCS=yes 2025-08-14T21:35:47.9465598Z SHLVL=1 2025-08-14T21:35:47.9465737Z MAX_JOBS=30 2025-08-14T21:35:47.9465895Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:47.9466137Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9466386Z GITHUB_REF_NAME=main 2025-08-14T21:35:47.9466723Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:47.9467016Z GITHUB_JOB=test 2025-08-14T21:35:47.9467182Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:47.9467350Z TD_DISTRIBUTED=False 2025-08-14T21:35:47.9467539Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:47.9467751Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:47.9467930Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:47.9468176Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:47.9468671Z 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 2025-08-14T21:35:47.9469163Z GITHUB_BASE_REF= 2025-08-14T21:35:47.9469329Z INSTALLED_ACL= 2025-08-14T21:35:47.9469637Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:35:47.9469959Z CI=true 2025-08-14T21:35:47.9470124Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:47.9470386Z RUST_LOG=sccache::server=error 2025-08-14T21:35:47.9470580Z JOB_ID=48128261044 2025-08-14T21:35:47.9470750Z GITHUB_HEAD_REF= 2025-08-14T21:35:47.9470917Z GITHUB_ACTION_REF= 2025-08-14T21:35:47.9471130Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:47.9471369Z TEST_SHOWLOCALS=False 2025-08-14T21:35:47.9471564Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:47.9471785Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:47.9472199Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9472613Z NO_TD=False 2025-08-14T21:35:47.9472784Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:47.9472994Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:47.9473207Z _=/usr/bin/env 2025-08-14T21:35:47.9473432Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:47.9706139Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:35:47.9706637Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:35:47.9707010Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:35:47.9707409Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:35:47.9707702Z + BUILD_DIR=build 2025-08-14T21:35:47.9707891Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:47.9708112Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:47.9708315Z + SHARD_NUMBER=2 2025-08-14T21:35:47.9708479Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:47.9708671Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:47.9708896Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:47.9709091Z + export VALGRIND=ON 2025-08-14T21:35:47.9709270Z + VALGRIND=ON 2025-08-14T21:35:47.9709475Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:35:47.9709736Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:47.9709996Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:35:47.9710225Z + [[ 0 == \1 ]] 2025-08-14T21:35:47.9710384Z + [[ True == \1 ]] 2025-08-14T21:35:47.9710580Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:35:47.9710836Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:47.9718986Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:35:47.9719474Z + [[ -n '' ]] 2025-08-14T21:35:47.9726114Z + echo 'Environment variables' 2025-08-14T21:35:47.9730720Z Environment variables 2025-08-14T21:35:47.9732494Z + env 2025-08-14T21:35:47.9743744Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:47.9744090Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:47.9744342Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:47.9744591Z HOSTNAME=c7e825bafeb3 2025-08-14T21:35:47.9744989Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9745395Z GITHUB_ACTION=__run_2 2025-08-14T21:35:47.9745584Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:47.9746054Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:47.9746273Z TEST_CONFIG=cpu_inductor_amp_freezing_timm 2025-08-14T21:35:47.9746502Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:47.9746742Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:47.9746954Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:47.9747373Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:47.9747691Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:47.9747898Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:47.9748077Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:47.9748286Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9748506Z XLA_CUDA= 2025-08-14T21:35:47.9748668Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:47.9748977Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:47.9749206Z *** 2025-08-14T21:35:47.9749359Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:47.9749547Z GITHUB_ACTIONS=true 2025-08-14T21:35:47.9749744Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:47.9750017Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9750273Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9750700Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:47.9751027Z UCC_HOME=/usr 2025-08-14T21:35:47.9751184Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:47.9751372Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:47.9751548Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:47.9751715Z SHARD_NUMBER=2 2025-08-14T21:35:47.9751876Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:47.9752051Z HOME=/var/lib/jenkins 2025-08-14T21:35:47.9752232Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:47.9752453Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:47.9752647Z UCX_COMMIT= 2025-08-14T21:35:47.9752788Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:47.9752946Z NUM_TEST_SHARDS=2 2025-08-14T21:35:47.9753096Z UCX_HOME=/usr 2025-08-14T21:35:47.9753441Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9753991Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:47.9754530Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9755005Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:47.9755357Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:47.9755532Z DASHBOARD_TAG= 2025-08-14T21:35:47.9755685Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:47.9755849Z INSTALLED_OPENBLAS= 2025-08-14T21:35:47.9756207Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9756601Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:47.9756772Z PR_NUMBER= 2025-08-14T21:35:47.9756919Z DESIRED_CUDA= 2025-08-14T21:35:47.9757070Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:47.9757261Z VALGRIND=ON 2025-08-14T21:35:47.9757410Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:47.9757630Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:47.9757849Z TERM=vt100 2025-08-14T21:35:47.9757988Z INSTALLED_VISION=yes 2025-08-14T21:35:47.9758147Z BRANCH=main 2025-08-14T21:35:47.9758300Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:47.9758480Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:47.9758669Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:47.9758986Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:47.9759325Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:47.9759548Z UCC_COMMIT= 2025-08-14T21:35:47.9759694Z REENABLED_ISSUES= 2025-08-14T21:35:47.9759840Z DOCS=yes 2025-08-14T21:35:47.9760004Z SHLVL=1 2025-08-14T21:35:47.9760144Z MAX_JOBS=30 2025-08-14T21:35:47.9760287Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:47.9760511Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:47.9760809Z GITHUB_REF_NAME=main 2025-08-14T21:35:47.9761059Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:47.9761330Z GITHUB_JOB=test 2025-08-14T21:35:47.9761490Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:47.9761658Z TD_DISTRIBUTED=False 2025-08-14T21:35:47.9761829Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:47.9762081Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:47.9762260Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:47.9762432Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:47.9762899Z 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 2025-08-14T21:35:47.9763362Z GITHUB_BASE_REF= 2025-08-14T21:35:47.9763514Z INSTALLED_ACL= 2025-08-14T21:35:47.9763802Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:35:47.9764132Z CI=true 2025-08-14T21:35:47.9764287Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:47.9764556Z RUST_LOG=sccache::server=error 2025-08-14T21:35:47.9764738Z JOB_ID=48128261044 2025-08-14T21:35:47.9764893Z GITHUB_HEAD_REF= 2025-08-14T21:35:47.9765043Z GITHUB_ACTION_REF= 2025-08-14T21:35:47.9765241Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:47.9765470Z TEST_SHOWLOCALS=False 2025-08-14T21:35:47.9765642Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:47.9765853Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:47.9766273Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_884626f0-952d-4a95-9c31-aceb6c228e88 2025-08-14T21:35:47.9766645Z NO_TD=False 2025-08-14T21:35:47.9766803Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:47.9767004Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:47.9767195Z _=/usr/bin/env 2025-08-14T21:35:47.9767353Z + echo 'Testing pytorch' 2025-08-14T21:35:47.9767523Z Testing pytorch 2025-08-14T21:35:47.9767693Z + export LANG=C.UTF-8 2025-08-14T21:35:47.9767856Z + LANG=C.UTF-8 2025-08-14T21:35:47.9768026Z + PR_NUMBER= 2025-08-14T21:35:47.9768217Z + [[ cpu_inductor_amp_freezing_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:47.9768484Z + [[ cpu_inductor_amp_freezing_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:47.9768746Z + [[ cpu_inductor_amp_freezing_timm == \s\l\o\w ]] 2025-08-14T21:35:47.9769007Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:35:47.9769262Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:47.9769506Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:47.9769743Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:47.9769981Z + [[ cpu_inductor_amp_freezing_timm == *crossref* ]] 2025-08-14T21:35:47.9770224Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:47.9770460Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:47.9770703Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:47.9770922Z + pip_install ninja==1.10.2 2025-08-14T21:35:47.9771170Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:47.9771466Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:48.3519156Z Collecting ninja==1.10.2 2025-08-14T21:35:48.3634239Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:48.3751695Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:49.1044749Z Installing collected packages: ninja 2025-08-14T21:35:49.1045266Z Attempting uninstall: ninja 2025-08-14T21:35:49.1050213Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:49.1072310Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:49.1124456Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:49.1603219Z Successfully installed ninja-1.10.2 2025-08-14T21:35:49.2584379Z + 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 2025-08-14T21:35:49.2585482Z + 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 2025-08-14T21:35:49.2586223Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:49.2590562Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:35:49.2593134Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:35:49.2596759Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:49.2597269Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:35:49.2597804Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:35:49.2598209Z + cd test 2025-08-14T21:35:49.2598450Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:50.3973198Z + [[ cpu_inductor_amp_freezing_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:50.3973599Z + [[ cpu_inductor_amp_freezing_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:50.3973933Z + [[ cpu_inductor_amp_freezing_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:50.3974223Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:50.3974450Z + [[ cpu_inductor_amp_freezing_timm == *pr_time_benchmarks* ]] 2025-08-14T21:35:50.3974751Z + [[ cpu_inductor_amp_freezing_timm == *dynamo_eager* ]] 2025-08-14T21:35:50.3975046Z + [[ cpu_inductor_amp_freezing_timm == *aot_eager* ]] 2025-08-14T21:35:50.3975288Z + [[ cpu_inductor_amp_freezing_timm == *aot_inductor* ]] 2025-08-14T21:35:50.3975554Z + [[ cpu_inductor_amp_freezing_timm == *max_autotune_inductor* ]] 2025-08-14T21:35:50.3975822Z + [[ cpu_inductor_amp_freezing_timm == *inductor* ]] 2025-08-14T21:35:50.3976058Z + [[ cpu_inductor_amp_freezing_timm != *perf* ]] 2025-08-14T21:35:50.3976498Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:35:50.3976756Z + [[ cpu_inductor_amp_freezing_timm == *dynamic* ]] 2025-08-14T21:35:50.3977010Z + [[ cpu_inductor_amp_freezing_timm == *cpu* ]] 2025-08-14T21:35:50.3977248Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:35:50.4184527Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:50.4185063Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:35:50.4188985Z + cd test 2025-08-14T21:35:50.4189240Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:51.3448677Z PyTorch built with: 2025-08-14T21:35:51.3448944Z - GCC 11.4 2025-08-14T21:35:51.3449105Z - C++ Version: 201703 2025-08-14T21:35:51.3449462Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:51.3449881Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:51.3450157Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:51.3450443Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:51.3450686Z - NNPACK is enabled 2025-08-14T21:35:51.3450865Z - CPU capability usage: AVX512 2025-08-14T21:35:51.3453909Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, 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, 2025-08-14T21:35:51.3457015Z 2025-08-14T21:35:51.5329173Z + cd test 2025-08-14T21:35:51.5334923Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:52.4405660Z ATen/Parallel: 2025-08-14T21:35:52.4406005Z at::get_num_threads() : 16 2025-08-14T21:35:52.4406232Z at::get_num_interop_threads() : 16 2025-08-14T21:35:52.4406447Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:52.4406646Z omp_get_max_threads() : 16 2025-08-14T21:35:52.4406996Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:52.4407345Z mkl_get_max_threads() : 16 2025-08-14T21:35:52.4407626Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:52.4407910Z std::thread::hardware_concurrency() : 32 2025-08-14T21:35:52.4408132Z Environment variables: 2025-08-14T21:35:52.4408303Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:52.4408486Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:52.4408671Z ATen parallel backend: OpenMP 2025-08-14T21:35:52.4408790Z 2025-08-14T21:35:52.6252569Z + [[ cpu_inductor_amp_freezing_timm == *numpy_2* ]] 2025-08-14T21:35:52.6252983Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:52.6253249Z + [[ cpu_inductor_amp_freezing_timm == *backward* ]] 2025-08-14T21:35:52.6253502Z + [[ cpu_inductor_amp_freezing_timm == *xla* ]] 2025-08-14T21:35:52.6253758Z + [[ cpu_inductor_amp_freezing_timm == *executorch* ]] 2025-08-14T21:35:52.6254033Z + [[ cpu_inductor_amp_freezing_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:52.6254303Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:52.6254563Z + [[ cpu_inductor_amp_freezing_timm == distributed ]] 2025-08-14T21:35:52.6254848Z + [[ cpu_inductor_amp_freezing_timm == *operator_benchmark* ]] 2025-08-14T21:35:52.6255136Z + [[ cpu_inductor_amp_freezing_timm == *inductor_distributed* ]] 2025-08-14T21:35:52.6255428Z + [[ cpu_inductor_amp_freezing_timm == *inductor-halide* ]] 2025-08-14T21:35:52.6255722Z + [[ cpu_inductor_amp_freezing_timm == *inductor-triton-cpu* ]] 2025-08-14T21:35:52.6256031Z + [[ cpu_inductor_amp_freezing_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:35:52.6256469Z + [[ cpu_inductor_amp_freezing_timm == *huggingface* ]] 2025-08-14T21:35:52.6256724Z + [[ cpu_inductor_amp_freezing_timm == *timm* ]] 2025-08-14T21:35:52.6256953Z + install_torchvision 2025-08-14T21:35:52.6257123Z + local orig_preload 2025-08-14T21:35:52.6257291Z + local commit 2025-08-14T21:35:52.6257470Z ++ get_pinned_commit vision 2025-08-14T21:35:52.6257663Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:35:52.6870415Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:52.6870819Z + orig_preload= 2025-08-14T21:35:52.6871047Z + '[' -n '' ']' 2025-08-14T21:35:52.6871282Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:52.6871766Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:35:52.6872309Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:52.6872692Z + local wheel_dir=dist/vision 2025-08-14T21:35:52.6872884Z + local found_whl=0 2025-08-14T21:35:52.6873060Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:52.6873360Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:35:52.6873680Z + found_whl=1 2025-08-14T21:35:52.6873832Z + break 2025-08-14T21:35:52.6873969Z + '[' 1 == 0 ']' 2025-08-14T21:35:52.6874473Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:52.6874809Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:52.6875669Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:35:52.6875992Z + local args 2025-08-14T21:35:52.6876262Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:35:52.6876583Z + for path in "${args[@]}" 2025-08-14T21:35:52.6876970Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:35:52.6877501Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:52.6877964Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:52.9617535Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:52.9684346Z Installing collected packages: torchvision 2025-08-14T21:35:53.9871082Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:35:54.0289039Z + '[' -n '' ']' 2025-08-14T21:35:54.0289535Z + id=1 2025-08-14T21:35:54.0289809Z + test_dynamo_benchmark timm_models 1 2025-08-14T21:35:54.0290376Z ++ pwd 2025-08-14T21:35:54.0291203Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:54.0291639Z + local suite=timm_models 2025-08-14T21:35:54.0292308Z + shift 2025-08-14T21:35:54.0292711Z + local shard_id=1 2025-08-14T21:35:54.0293013Z + shift 2025-08-14T21:35:54.0293302Z + [[ cpu_inductor_amp_freezing_timm == *perf_compare* ]] 2025-08-14T21:35:54.0293635Z + [[ cpu_inductor_amp_freezing_timm == *perf* ]] 2025-08-14T21:35:54.0294075Z + [[ cpu_inductor_amp_freezing_timm == *cpu* ]] 2025-08-14T21:35:54.0294507Z + local dt=float32 2025-08-14T21:35:54.0295241Z + [[ cpu_inductor_amp_freezing_timm == *amp* ]] 2025-08-14T21:35:54.0295517Z + dt=amp 2025-08-14T21:35:54.0295917Z + [[ cpu_inductor_amp_freezing_timm == *freezing* ]] 2025-08-14T21:35:54.0296559Z + test_single_dynamo_benchmark inference timm_models 1 --inference --amp --freezing 2025-08-14T21:35:54.0296906Z ++ pwd 2025-08-14T21:35:54.0297154Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:54.0297493Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:54.0321009Z + local name=inference 2025-08-14T21:35:54.0321475Z + shift 2025-08-14T21:35:54.0321803Z + local suite=timm_models 2025-08-14T21:35:54.0322084Z + shift 2025-08-14T21:35:54.0322248Z + local shard_id=1 2025-08-14T21:35:54.0322406Z + shift 2025-08-14T21:35:54.0322561Z + partition_flags=() 2025-08-14T21:35:54.0322740Z + local partition_flags 2025-08-14T21:35:54.0322932Z + [[ -n 2 ]] 2025-08-14T21:35:54.0323071Z + [[ -n 1 ]] 2025-08-14T21:35:54.0323353Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:35:54.0323705Z + [[ cpu_inductor_amp_freezing_timm == *perf_compare* ]] 2025-08-14T21:35:54.0323956Z + [[ cpu_inductor_amp_freezing_timm == *perf* ]] 2025-08-14T21:35:54.0324197Z + [[ cpu_inductor_amp_freezing_timm == *_avx2* ]] 2025-08-14T21:35:54.0324437Z + [[ cpu_inductor_amp_freezing_timm == *_avx512* ]] 2025-08-14T21:35:54.0325201Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --amp --freezing --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:36:00.3555342Z 2025-08-14T21:36:00.4960317Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:00.4961626Z 2025-08-14T21:36:00.6635499Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-14T21:36:22.1589446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1589606Z 2025-08-14T21:36:22.1589716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1590069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1590406Z return mod(*inputs) 2025-08-14T21:36:22.1590719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1591055Z x = self.forward_features(x) 2025-08-14T21:36:22.1591398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1591757Z x = self.blocks(x) 2025-08-14T21:36:22.1592088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1592437Z x = self.conv_pw(x) 2025-08-14T21:36:22.1592758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1593131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1593527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1593890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1594053Z 2025-08-14T21:36:22.1594155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1594510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1594820Z return mod(*inputs) 2025-08-14T21:36:22.1595131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1595466Z x = self.forward_features(x) 2025-08-14T21:36:22.1595863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1596216Z x = self.blocks(x) 2025-08-14T21:36:22.1596536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1596881Z x = self.conv_pw(x) 2025-08-14T21:36:22.1597176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1597581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1597961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1598349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1598512Z 2025-08-14T21:36:22.1598617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1598996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1599317Z return mod(*inputs) 2025-08-14T21:36:22.1599628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1599960Z x = self.forward_features(x) 2025-08-14T21:36:22.1600314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1600678Z x = self.blocks(x) 2025-08-14T21:36:22.1601001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1601357Z x = self.conv_pw(x) 2025-08-14T21:36:22.1601677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1602053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1602441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1602827Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1602986Z 2025-08-14T21:36:22.1603075Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1603288Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1603529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1603896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1604222Z return mod(*inputs) 2025-08-14T21:36:22.1604550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1604887Z x = self.forward_features(x) 2025-08-14T21:36:22.1605238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1605585Z x = self.blocks(x) 2025-08-14T21:36:22.1605920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1606268Z x = self.conv_pw(x) 2025-08-14T21:36:22.1606579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1606905Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1607026Z 2025-08-14T21:36:22.1607128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1607492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1607811Z return mod(*inputs) 2025-08-14T21:36:22.1608134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1608482Z x = self.forward_features(x) 2025-08-14T21:36:22.1608846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1609204Z x = self.blocks(x) 2025-08-14T21:36:22.1609589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1609945Z x = self.bn1(x) 2025-08-14T21:36:22.1610259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1610612Z x = self.act(x) 2025-08-14T21:36:22.1610785Z 2025-08-14T21:36:22.1610872Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1611131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1611506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1612056Z return mod(*inputs) 2025-08-14T21:36:22.1612406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1612766Z x = self.forward_features(x) 2025-08-14T21:36:22.1613154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1613540Z x = self.blocks(x) 2025-08-14T21:36:22.1613897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1614270Z x = self.conv_dw(x) 2025-08-14T21:36:22.1614609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1615012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1615424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1615842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1616026Z 2025-08-14T21:36:22.1616140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1616616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1616971Z return mod(*inputs) 2025-08-14T21:36:22.1617322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1617702Z x = self.forward_features(x) 2025-08-14T21:36:22.1618083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1618479Z x = self.blocks(x) 2025-08-14T21:36:22.1618826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1619183Z x = self.conv_dw(x) 2025-08-14T21:36:22.1619494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1619884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1620290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1620689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1620850Z 2025-08-14T21:36:22.1620938Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1621194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1621579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1621927Z return mod(*inputs) 2025-08-14T21:36:22.1622269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1622638Z x = self.forward_features(x) 2025-08-14T21:36:22.1623021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1623399Z x = self.blocks(x) 2025-08-14T21:36:22.1623752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1624222Z x = self.conv_dw(x) 2025-08-14T21:36:22.1624555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1624957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1625373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1625818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1625978Z 2025-08-14T21:36:22.1626087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1626456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1626780Z return mod(*inputs) 2025-08-14T21:36:22.1627096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1627464Z x = self.forward_features(x) 2025-08-14T21:36:22.1627854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1628217Z x = self.blocks(x) 2025-08-14T21:36:22.1628543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1628907Z x = self.conv_dw(x) 2025-08-14T21:36:22.1629248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1629643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1630051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1630454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1630622Z 2025-08-14T21:36:22.1630715Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1630963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1631352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1631698Z return mod(*inputs) 2025-08-14T21:36:22.1632036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1632396Z x = self.forward_features(x) 2025-08-14T21:36:22.1632776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1633161Z x = self.blocks(x) 2025-08-14T21:36:22.1633504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1633882Z x = self.conv_dw(x) 2025-08-14T21:36:22.1634217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1634668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1635069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1635471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1635641Z 2025-08-14T21:36:22.1635759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1636137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1636486Z return mod(*inputs) 2025-08-14T21:36:22.1636825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1637192Z x = self.forward_features(x) 2025-08-14T21:36:22.1637566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1637950Z x = self.blocks(x) 2025-08-14T21:36:22.1638390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1638769Z x = self.conv_dw(x) 2025-08-14T21:36:22.1639102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1639496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1639901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1640431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1640615Z 2025-08-14T21:36:22.1640703Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1640988Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1641213Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1641471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1641860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1642212Z return mod(*inputs) 2025-08-14T21:36:22.1642552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1642923Z x = self.forward_features(x) 2025-08-14T21:36:22.1643307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1643680Z x = self.blocks(x) 2025-08-14T21:36:22.1644036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1644412Z x = self.conv_dw(x) 2025-08-14T21:36:22.1644744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1645097Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1645225Z 2025-08-14T21:36:22.1645335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1645723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1646058Z return mod(*inputs) 2025-08-14T21:36:22.1646395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1646761Z x = self.forward_features(x) 2025-08-14T21:36:22.1647141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1647522Z x = self.blocks(x) 2025-08-14T21:36:22.1647852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.1648209Z x = self.bn2(x) 2025-08-14T21:36:22.1648502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1648826Z x = self.act(x) 2025-08-14T21:36:22.1648923Z 2025-08-14T21:36:22.1649003Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1649241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1649610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1649959Z return mod(*inputs) 2025-08-14T21:36:22.1650306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1650679Z x = self.forward_features(x) 2025-08-14T21:36:22.1651072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1651465Z x = self.blocks(x) 2025-08-14T21:36:22.1651844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1652242Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1652597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1653006Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1653462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1653881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1654063Z 2025-08-14T21:36:22.1654175Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1654568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1654950Z return mod(*inputs) 2025-08-14T21:36:22.1655300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1655679Z x = self.forward_features(x) 2025-08-14T21:36:22.1656077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1656538Z x = self.blocks(x) 2025-08-14T21:36:22.1656907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1657311Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1657626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1658007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1658387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1658769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1658926Z 2025-08-14T21:36:22.1659007Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1659256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1659617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1659938Z return mod(*inputs) 2025-08-14T21:36:22.1660268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1660619Z x = self.forward_features(x) 2025-08-14T21:36:22.1661004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1661377Z x = self.blocks(x) 2025-08-14T21:36:22.1661727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1662113Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1662442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1662830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1663240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1663623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1663790Z 2025-08-14T21:36:22.1663905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1664287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1664627Z return mod(*inputs) 2025-08-14T21:36:22.1664963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1665324Z x = self.forward_features(x) 2025-08-14T21:36:22.1665697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1666073Z x = self.blocks(x) 2025-08-14T21:36:22.1666433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1666812Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1667158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1667583Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1667981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1668389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1668560Z 2025-08-14T21:36:22.1668658Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1668929Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1669184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1669574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1669920Z return mod(*inputs) 2025-08-14T21:36:22.1670255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1670632Z x = self.forward_features(x) 2025-08-14T21:36:22.1671018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1671406Z x = self.blocks(x) 2025-08-14T21:36:22.1671785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1672165Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1672502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1672859Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1672984Z 2025-08-14T21:36:22.1673095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1673482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1673822Z return mod(*inputs) 2025-08-14T21:36:22.1674161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1674532Z x = self.forward_features(x) 2025-08-14T21:36:22.1674919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1675297Z x = self.blocks(x) 2025-08-14T21:36:22.1675649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:36:22.1676029Z x = self.bn3(x) 2025-08-14T21:36:22.1676339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.1676684Z x = F.batch_norm( 2025-08-14T21:36:22.1676793Z 2025-08-14T21:36:22.1676901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1677289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1677630Z return mod(*inputs) 2025-08-14T21:36:22.1677971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1678339Z x = self.forward_features(x) 2025-08-14T21:36:22.1678717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1679101Z x = self.blocks(x) 2025-08-14T21:36:22.1679456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1679829Z x = self.conv_pw(x) 2025-08-14T21:36:22.1680159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1680556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1680960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1681361Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1681539Z 2025-08-14T21:36:22.1681649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1682064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1682442Z return mod(*inputs) 2025-08-14T21:36:22.1682754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1683103Z x = self.forward_features(x) 2025-08-14T21:36:22.1683463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1683890Z x = self.blocks(x) 2025-08-14T21:36:22.1684240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1684620Z x = self.conv_pw(x) 2025-08-14T21:36:22.1684955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1685349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1685758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1686175Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1686335Z 2025-08-14T21:36:22.1686445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1686801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1687128Z return mod(*inputs) 2025-08-14T21:36:22.1687443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1687783Z x = self.forward_features(x) 2025-08-14T21:36:22.1688141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1688500Z x = self.blocks(x) 2025-08-14T21:36:22.1688831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1689185Z x = self.conv_pw(x) 2025-08-14T21:36:22.1689503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1689896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1690329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1690740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1690914Z 2025-08-14T21:36:22.1691023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1691406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1691778Z return mod(*inputs) 2025-08-14T21:36:22.1692113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1692482Z x = self.forward_features(x) 2025-08-14T21:36:22.1692858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1693229Z x = self.blocks(x) 2025-08-14T21:36:22.1693577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1693951Z x = self.conv_pw(x) 2025-08-14T21:36:22.1694284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1694680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1695082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1695481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1695648Z 2025-08-14T21:36:22.1695734Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1695961Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1696323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1696718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1697075Z return mod(*inputs) 2025-08-14T21:36:22.1697433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1697854Z x = self.forward_features(x) 2025-08-14T21:36:22.1698243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1698643Z x = self.blocks(x) 2025-08-14T21:36:22.1699000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1699374Z x = self.conv_pw(x) 2025-08-14T21:36:22.1699705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1700067Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1700192Z 2025-08-14T21:36:22.1700314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1700710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1701063Z return mod(*inputs) 2025-08-14T21:36:22.1701410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1701786Z x = self.forward_features(x) 2025-08-14T21:36:22.1702190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1702571Z x = self.blocks(x) 2025-08-14T21:36:22.1702918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1703283Z x = self.bn1(x) 2025-08-14T21:36:22.1703602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1703941Z x = self.act(x) 2025-08-14T21:36:22.1704040Z 2025-08-14T21:36:22.1704149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1704530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1704879Z return mod(*inputs) 2025-08-14T21:36:22.1705217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1705585Z x = self.forward_features(x) 2025-08-14T21:36:22.1705986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1706380Z x = self.blocks(x) 2025-08-14T21:36:22.1706723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.1707096Z x = self.bn2(x) 2025-08-14T21:36:22.1707415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1707754Z x = self.act(x) 2025-08-14T21:36:22.1707852Z 2025-08-14T21:36:22.1707963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1708345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1708688Z return mod(*inputs) 2025-08-14T21:36:22.1709018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1709384Z x = self.forward_features(x) 2025-08-14T21:36:22.1709761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1710135Z x = self.blocks(x) 2025-08-14T21:36:22.1710477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.1710846Z x = self.bn2(x) 2025-08-14T21:36:22.1711189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1711534Z x = self.act(x) 2025-08-14T21:36:22.1711752Z 2025-08-14T21:36:22.1711873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1712265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1712683Z return mod(*inputs) 2025-08-14T21:36:22.1713014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1713380Z x = self.forward_features(x) 2025-08-14T21:36:22.1713776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1714168Z x = self.blocks(x) 2025-08-14T21:36:22.1714523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1714910Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1715253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1715648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1716068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1716481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1716652Z 2025-08-14T21:36:22.1716768Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1717148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1717491Z return mod(*inputs) 2025-08-14T21:36:22.1717830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1718190Z x = self.forward_features(x) 2025-08-14T21:36:22.1718575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1718960Z x = self.blocks(x) 2025-08-14T21:36:22.1719315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1719693Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1720048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1720442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1720842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1721281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1721456Z 2025-08-14T21:36:22.1721566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1721954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1722291Z return mod(*inputs) 2025-08-14T21:36:22.1722631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1722997Z x = self.forward_features(x) 2025-08-14T21:36:22.1723368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1723749Z x = self.blocks(x) 2025-08-14T21:36:22.1724099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1724484Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1724813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1725213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1725678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1726097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1726266Z 2025-08-14T21:36:22.1726375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1726759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1727164Z return mod(*inputs) 2025-08-14T21:36:22.1727498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1727876Z x = self.forward_features(x) 2025-08-14T21:36:22.1728256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1728640Z x = self.blocks(x) 2025-08-14T21:36:22.1728984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1729363Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1729699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1730085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1730499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1730919Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1731090Z 2025-08-14T21:36:22.1731190Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1731421Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1731682Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1732089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1732453Z return mod(*inputs) 2025-08-14T21:36:22.1732812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1733198Z x = self.forward_features(x) 2025-08-14T21:36:22.1733594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1733984Z x = self.blocks(x) 2025-08-14T21:36:22.1734348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1734755Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1735097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1735472Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1735602Z 2025-08-14T21:36:22.1735716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1736120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1736545Z return mod(*inputs) 2025-08-14T21:36:22.1736903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1737286Z x = self.forward_features(x) 2025-08-14T21:36:22.1737673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1738069Z x = self.blocks(x) 2025-08-14T21:36:22.1738439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.1738836Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.1738978Z 2025-08-14T21:36:22.1739090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1739494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1739858Z return mod(*inputs) 2025-08-14T21:36:22.1740201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1740623Z x = self.forward_features(x) 2025-08-14T21:36:22.1741027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1741416Z x = self.blocks(x) 2025-08-14T21:36:22.1741768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1742197Z x = self.bn1(x) 2025-08-14T21:36:22.1742530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1742876Z x = self.act(x) 2025-08-14T21:36:22.1742984Z 2025-08-14T21:36:22.1743096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1743489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1743862Z return mod(*inputs) 2025-08-14T21:36:22.1744202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1744583Z x = self.forward_features(x) 2025-08-14T21:36:22.1744976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1745366Z x = self.blocks(x) 2025-08-14T21:36:22.1745731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1746119Z x = self.bn1(x) 2025-08-14T21:36:22.1746449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1746795Z x = self.act(x) 2025-08-14T21:36:22.1746902Z 2025-08-14T21:36:22.1747010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1747401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1747715Z return mod(*inputs) 2025-08-14T21:36:22.1748037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1748381Z x = self.forward_features(x) 2025-08-14T21:36:22.1748739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1749091Z x = self.blocks(x) 2025-08-14T21:36:22.1749421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1749791Z x = self.conv_dw(x) 2025-08-14T21:36:22.1750117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1750515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1750919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1751322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1751491Z 2025-08-14T21:36:22.1751602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1751988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1752329Z return mod(*inputs) 2025-08-14T21:36:22.1752665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1753025Z x = self.forward_features(x) 2025-08-14T21:36:22.1753405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1753792Z x = self.blocks(x) 2025-08-14T21:36:22.1754135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1754509Z x = self.conv_dw(x) 2025-08-14T21:36:22.1754837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1755263Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1755669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1756051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1756208Z 2025-08-14T21:36:22.1756357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1756720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1757043Z return mod(*inputs) 2025-08-14T21:36:22.1757361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1757714Z x = self.forward_features(x) 2025-08-14T21:36:22.1758080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1758450Z x = self.blocks(x) 2025-08-14T21:36:22.1758800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1759162Z x = self.conv_dw(x) 2025-08-14T21:36:22.1759490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1759880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1760275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1760671Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1760847Z 2025-08-14T21:36:22.1760959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1761345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1761693Z return mod(*inputs) 2025-08-14T21:36:22.1762027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1762405Z x = self.forward_features(x) 2025-08-14T21:36:22.1762778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1763146Z x = self.blocks(x) 2025-08-14T21:36:22.1763489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1763861Z x = self.conv_dw(x) 2025-08-14T21:36:22.1764180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1764566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1764964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1765346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1765506Z 2025-08-14T21:36:22.1765609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1765973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1766300Z return mod(*inputs) 2025-08-14T21:36:22.1766632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1766976Z x = self.forward_features(x) 2025-08-14T21:36:22.1767338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1767701Z x = self.blocks(x) 2025-08-14T21:36:22.1768028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1768387Z x = self.conv_dw(x) 2025-08-14T21:36:22.1768701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1769106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1769490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1769883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1770048Z 2025-08-14T21:36:22.1770167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1770587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1770922Z return mod(*inputs) 2025-08-14T21:36:22.1771261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1771632Z x = self.forward_features(x) 2025-08-14T21:36:22.1772004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1772387Z x = self.blocks(x) 2025-08-14T21:36:22.1772741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1773117Z x = self.conv_dw(x) 2025-08-14T21:36:22.1773444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1773840Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1774248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1774645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1774820Z 2025-08-14T21:36:22.1774929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1775313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1775656Z return mod(*inputs) 2025-08-14T21:36:22.1775992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1776461Z x = self.forward_features(x) 2025-08-14T21:36:22.1776871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1777267Z x = self.blocks(x) 2025-08-14T21:36:22.1777628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1777991Z x = self.conv_dw(x) 2025-08-14T21:36:22.1778310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1778680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1779076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1779461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1779621Z 2025-08-14T21:36:22.1779738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1780100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1780428Z return mod(*inputs) 2025-08-14T21:36:22.1780752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1781100Z x = self.forward_features(x) 2025-08-14T21:36:22.1781462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1781841Z x = self.blocks(x) 2025-08-14T21:36:22.1782198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1782567Z x = self.conv_dw(x) 2025-08-14T21:36:22.1782899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1783366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1783771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1784144Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1784305Z 2025-08-14T21:36:22.1784384Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1784634Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1784838Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1785050Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1785276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1785615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1785927Z return mod(*inputs) 2025-08-14T21:36:22.1786234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1786559Z x = self.forward_features(x) 2025-08-14T21:36:22.1786903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1787246Z x = self.blocks(x) 2025-08-14T21:36:22.1787563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1787895Z x = self.conv_dw(x) 2025-08-14T21:36:22.1788195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1788519Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1788626Z 2025-08-14T21:36:22.1788731Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1789081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1789388Z return mod(*inputs) 2025-08-14T21:36:22.1789697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1790030Z x = self.forward_features(x) 2025-08-14T21:36:22.1790384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1790741Z x = self.blocks(x) 2025-08-14T21:36:22.1791067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.1791412Z x = self.bn2(x) 2025-08-14T21:36:22.1791713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.1792045Z x = F.batch_norm( 2025-08-14T21:36:22.1792151Z 2025-08-14T21:36:22.1792250Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1792602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1792917Z return mod(*inputs) 2025-08-14T21:36:22.1793228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1793562Z x = self.forward_features(x) 2025-08-14T21:36:22.1793917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1794273Z x = self.blocks(x) 2025-08-14T21:36:22.1794593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.1794940Z x = self.bn2(x) 2025-08-14T21:36:22.1795244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1795558Z x = self.act(x) 2025-08-14T21:36:22.1795646Z 2025-08-14T21:36:22.1795744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1796091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1796396Z return mod(*inputs) 2025-08-14T21:36:22.1796727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1797068Z x = self.forward_features(x) 2025-08-14T21:36:22.1797418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1797770Z x = self.blocks(x) 2025-08-14T21:36:22.1798122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1798469Z x = self.se(x) 2025-08-14T21:36:22.1798793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.1799128Z x_se = self.act1(x_se) 2025-08-14T21:36:22.1799244Z 2025-08-14T21:36:22.1799343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1799692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1800003Z return mod(*inputs) 2025-08-14T21:36:22.1800305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1800646Z x = self.forward_features(x) 2025-08-14T21:36:22.1801004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1801362Z x = self.blocks(x) 2025-08-14T21:36:22.1801701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1802070Z x = self.se(x) 2025-08-14T21:36:22.1802404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.1802744Z x_se = self.act1(x_se) 2025-08-14T21:36:22.1802859Z 2025-08-14T21:36:22.1802960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1803324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1803636Z return mod(*inputs) 2025-08-14T21:36:22.1803960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1804307Z x = self.forward_features(x) 2025-08-14T21:36:22.1804662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1805018Z x = self.blocks(x) 2025-08-14T21:36:22.1805346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1805703Z x = self.se(x) 2025-08-14T21:36:22.1806021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1806378Z return x * self.gate(x_se) 2025-08-14T21:36:22.1806503Z 2025-08-14T21:36:22.1806609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1806967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1807278Z return mod(*inputs) 2025-08-14T21:36:22.1807598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1807943Z x = self.forward_features(x) 2025-08-14T21:36:22.1808295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1808658Z x = self.blocks(x) 2025-08-14T21:36:22.1808990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1809346Z x = self.se(x) 2025-08-14T21:36:22.1809659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1810024Z return x * self.gate(x_se) 2025-08-14T21:36:22.1810180Z 2025-08-14T21:36:22.1810297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1810657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1810980Z return mod(*inputs) 2025-08-14T21:36:22.1811300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1811847Z x = self.forward_features(x) 2025-08-14T21:36:22.1812226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1812616Z x = self.blocks(x) 2025-08-14T21:36:22.1812972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1813336Z x = self.se(x) 2025-08-14T21:36:22.1813684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1814073Z return x * self.gate(x_se) 2025-08-14T21:36:22.1814197Z 2025-08-14T21:36:22.1814317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1814697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1815044Z return mod(*inputs) 2025-08-14T21:36:22.1815383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1815749Z x = self.forward_features(x) 2025-08-14T21:36:22.1816138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1816575Z x = self.blocks(x) 2025-08-14T21:36:22.1816927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1817300Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1817421Z 2025-08-14T21:36:22.1817532Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1817919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1818263Z return mod(*inputs) 2025-08-14T21:36:22.1818582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1818938Z x = self.forward_features(x) 2025-08-14T21:36:22.1819321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1819694Z x = self.blocks(x) 2025-08-14T21:36:22.1820043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1820446Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1820557Z 2025-08-14T21:36:22.1820673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1821064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1821403Z return mod(*inputs) 2025-08-14T21:36:22.1821741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1822099Z x = self.forward_features(x) 2025-08-14T21:36:22.1822478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1822862Z x = self.blocks(x) 2025-08-14T21:36:22.1823203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1823629Z x = self.conv_pw(x) 2025-08-14T21:36:22.1823964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1824364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1824834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1825250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1825430Z 2025-08-14T21:36:22.1825538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1825974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1826339Z return mod(*inputs) 2025-08-14T21:36:22.1826654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1826995Z x = self.forward_features(x) 2025-08-14T21:36:22.1827345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1827690Z x = self.blocks(x) 2025-08-14T21:36:22.1828003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1828341Z x = self.conv_pw(x) 2025-08-14T21:36:22.1828637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1828996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1829365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1829731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1829894Z 2025-08-14T21:36:22.1829996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1830356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1830678Z return mod(*inputs) 2025-08-14T21:36:22.1830989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1831340Z x = self.forward_features(x) 2025-08-14T21:36:22.1831703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1832057Z x = self.blocks(x) 2025-08-14T21:36:22.1832391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1832751Z x = self.conv_pw(x) 2025-08-14T21:36:22.1833069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1833438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1833802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1834163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1834315Z 2025-08-14T21:36:22.1834421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1834761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1835070Z return mod(*inputs) 2025-08-14T21:36:22.1835372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1835695Z x = self.forward_features(x) 2025-08-14T21:36:22.1836036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1836381Z x = self.blocks(x) 2025-08-14T21:36:22.1836697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1837031Z x = self.conv_pw(x) 2025-08-14T21:36:22.1837331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1837686Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1838086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1838445Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1838602Z 2025-08-14T21:36:22.1838681Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1838888Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1839109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1839489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1839807Z return mod(*inputs) 2025-08-14T21:36:22.1840111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1840450Z x = self.forward_features(x) 2025-08-14T21:36:22.1840804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1841158Z x = self.blocks(x) 2025-08-14T21:36:22.1841478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1841826Z x = self.conv_pw(x) 2025-08-14T21:36:22.1842131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1842453Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1842571Z 2025-08-14T21:36:22.1842670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1843028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1843340Z return mod(*inputs) 2025-08-14T21:36:22.1843641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1843976Z x = self.forward_features(x) 2025-08-14T21:36:22.1844325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1844669Z x = self.blocks(x) 2025-08-14T21:36:22.1844998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1845342Z x = self.bn1(x) 2025-08-14T21:36:22.1845633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.1845943Z x = F.batch_norm( 2025-08-14T21:36:22.1846049Z 2025-08-14T21:36:22.1846148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1846500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1846810Z return mod(*inputs) 2025-08-14T21:36:22.1847124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1847465Z x = self.forward_features(x) 2025-08-14T21:36:22.1847813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1848209Z x = self.blocks(x) 2025-08-14T21:36:22.1848537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1848885Z x = self.bn1(x) 2025-08-14T21:36:22.1849173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1849490Z x = self.act(x) 2025-08-14T21:36:22.1849586Z 2025-08-14T21:36:22.1849667Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1849903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1850248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1850562Z return mod(*inputs) 2025-08-14T21:36:22.1850875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1851210Z x = self.forward_features(x) 2025-08-14T21:36:22.1851600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1851966Z x = self.blocks(x) 2025-08-14T21:36:22.1852298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1852645Z x = self.conv_dw(x) 2025-08-14T21:36:22.1852960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1853383Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1853764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1854151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1854320Z 2025-08-14T21:36:22.1854424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1854790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1855112Z return mod(*inputs) 2025-08-14T21:36:22.1855438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1855789Z x = self.forward_features(x) 2025-08-14T21:36:22.1856141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1856577Z x = self.blocks(x) 2025-08-14T21:36:22.1856941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1857349Z x = self.conv_dw(x) 2025-08-14T21:36:22.1857677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1858068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1858451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1858846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1859010Z 2025-08-14T21:36:22.1859091Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1859337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1859701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1860026Z return mod(*inputs) 2025-08-14T21:36:22.1860349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1860697Z x = self.forward_features(x) 2025-08-14T21:36:22.1861056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1861412Z x = self.blocks(x) 2025-08-14T21:36:22.1861754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1862110Z x = self.conv_dw(x) 2025-08-14T21:36:22.1862418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1862791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1863172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1863557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1863718Z 2025-08-14T21:36:22.1863821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1864185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1864512Z return mod(*inputs) 2025-08-14T21:36:22.1864823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1865170Z x = self.forward_features(x) 2025-08-14T21:36:22.1866342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1866717Z x = self.blocks(x) 2025-08-14T21:36:22.1867043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1867402Z x = self.conv_dw(x) 2025-08-14T21:36:22.1867760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1868125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1868508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1868887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1869045Z 2025-08-14T21:36:22.1869134Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1869349Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1869593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1869965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1870267Z return mod(*inputs) 2025-08-14T21:36:22.1870575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1870907Z x = self.forward_features(x) 2025-08-14T21:36:22.1871246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1871583Z x = self.blocks(x) 2025-08-14T21:36:22.1871903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1872256Z x = self.conv_dw(x) 2025-08-14T21:36:22.1872557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1872890Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1873007Z 2025-08-14T21:36:22.1873086Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1873322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1873669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1873992Z return mod(*inputs) 2025-08-14T21:36:22.1874300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1874621Z x = self.forward_features(x) 2025-08-14T21:36:22.1874963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1875305Z x = self.blocks(x) 2025-08-14T21:36:22.1875622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1875953Z x = self.se(x) 2025-08-14T21:36:22.1876263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.1876615Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.1876741Z 2025-08-14T21:36:22.1876849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1877188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1877500Z return mod(*inputs) 2025-08-14T21:36:22.1877805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1878134Z x = self.forward_features(x) 2025-08-14T21:36:22.1878475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1878819Z x = self.blocks(x) 2025-08-14T21:36:22.1879167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1879507Z x = self.se(x) 2025-08-14T21:36:22.1879817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.1880157Z x_se = self.act1(x_se) 2025-08-14T21:36:22.1880263Z 2025-08-14T21:36:22.1880361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1880758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1881065Z return mod(*inputs) 2025-08-14T21:36:22.1881368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1881698Z x = self.forward_features(x) 2025-08-14T21:36:22.1882040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1882382Z x = self.blocks(x) 2025-08-14T21:36:22.1882695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1883028Z x = self.se(x) 2025-08-14T21:36:22.1883338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.1883726Z x_se = self.act1(x_se) 2025-08-14T21:36:22.1883830Z 2025-08-14T21:36:22.1883929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1884278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1884583Z return mod(*inputs) 2025-08-14T21:36:22.1884882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1885215Z x = self.forward_features(x) 2025-08-14T21:36:22.1885554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1885906Z x = self.blocks(x) 2025-08-14T21:36:22.1886211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1886540Z x = self.se(x) 2025-08-14T21:36:22.1886843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1887171Z return x * self.gate(x_se) 2025-08-14T21:36:22.1887292Z 2025-08-14T21:36:22.1887387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1887724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1888024Z return mod(*inputs) 2025-08-14T21:36:22.1888315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1888640Z x = self.forward_features(x) 2025-08-14T21:36:22.1888985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1889314Z x = self.blocks(x) 2025-08-14T21:36:22.1889622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1889950Z x = self.se(x) 2025-08-14T21:36:22.1890256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1890598Z return x * self.gate(x_se) 2025-08-14T21:36:22.1890718Z 2025-08-14T21:36:22.1890818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1891170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1891476Z return mod(*inputs) 2025-08-14T21:36:22.1891793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1892143Z x = self.forward_features(x) 2025-08-14T21:36:22.1892534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1892890Z x = self.blocks(x) 2025-08-14T21:36:22.1893220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1893573Z x = self.se(x) 2025-08-14T21:36:22.1893886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1894289Z return x * self.gate(x_se) 2025-08-14T21:36:22.1894413Z 2025-08-14T21:36:22.1894494Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1894737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1895094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1895418Z return mod(*inputs) 2025-08-14T21:36:22.1895741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1896086Z x = self.forward_features(x) 2025-08-14T21:36:22.1896559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1896960Z x = self.blocks(x) 2025-08-14T21:36:22.1897328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1897709Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1898046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1898401Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1898760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1899123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1899286Z 2025-08-14T21:36:22.1899389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1899744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1900060Z return mod(*inputs) 2025-08-14T21:36:22.1900380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1900730Z x = self.forward_features(x) 2025-08-14T21:36:22.1901088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1901438Z x = self.blocks(x) 2025-08-14T21:36:22.1901759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1902111Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1902432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1902821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1903199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1903573Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1903729Z 2025-08-14T21:36:22.1903809Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1904046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1904401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1904709Z return mod(*inputs) 2025-08-14T21:36:22.1905021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1905361Z x = self.forward_features(x) 2025-08-14T21:36:22.1905714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1906059Z x = self.blocks(x) 2025-08-14T21:36:22.1906431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1906783Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1907098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1907464Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1907876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1908244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1908398Z 2025-08-14T21:36:22.1909220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1909573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1909890Z return mod(*inputs) 2025-08-14T21:36:22.1910195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1910535Z x = self.forward_features(x) 2025-08-14T21:36:22.1910887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1911239Z x = self.blocks(x) 2025-08-14T21:36:22.1911555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1912017Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1912339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1912708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1913081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1913465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1913627Z 2025-08-14T21:36:22.1913720Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1913932Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1914177Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1914548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1914876Z return mod(*inputs) 2025-08-14T21:36:22.1915200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1915561Z x = self.forward_features(x) 2025-08-14T21:36:22.1915914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1916260Z x = self.blocks(x) 2025-08-14T21:36:22.1916591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1916954Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1917272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1917598Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1917715Z 2025-08-14T21:36:22.1917818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1918176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1918493Z return mod(*inputs) 2025-08-14T21:36:22.1918809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1919152Z x = self.forward_features(x) 2025-08-14T21:36:22.1919510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1919865Z x = self.blocks(x) 2025-08-14T21:36:22.1920193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.1920610Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.1920737Z 2025-08-14T21:36:22.1920836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1921188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1921507Z return mod(*inputs) 2025-08-14T21:36:22.1921827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1922208Z x = self.forward_features(x) 2025-08-14T21:36:22.1922558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1922909Z x = self.blocks(x) 2025-08-14T21:36:22.1923220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1923570Z x = self.conv_pw(x) 2025-08-14T21:36:22.1923878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1924241Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1924604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1924711Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1924717Z 2025-08-14T21:36:22.1924818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1925021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1925093Z return mod(*inputs) 2025-08-14T21:36:22.1925294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1925368Z x = self.forward_features(x) 2025-08-14T21:36:22.1925593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1925653Z x = self.blocks(x) 2025-08-14T21:36:22.1925874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1925936Z x = self.conv_pw(x) 2025-08-14T21:36:22.1926128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1926235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1926443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1926546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1926550Z 2025-08-14T21:36:22.1926650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1926839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1926909Z return mod(*inputs) 2025-08-14T21:36:22.1927117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1927192Z x = self.forward_features(x) 2025-08-14T21:36:22.1927419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1927480Z x = self.blocks(x) 2025-08-14T21:36:22.1927711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1927775Z x = self.conv_pw(x) 2025-08-14T21:36:22.1927977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1928083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1928291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1928431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1928435Z 2025-08-14T21:36:22.1928536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1928727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1928797Z return mod(*inputs) 2025-08-14T21:36:22.1929005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1929122Z x = self.forward_features(x) 2025-08-14T21:36:22.1929361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1929422Z x = self.blocks(x) 2025-08-14T21:36:22.1929649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1929713Z x = self.conv_pw(x) 2025-08-14T21:36:22.1929920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1930029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1930245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1930346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1930359Z 2025-08-14T21:36:22.1930441Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1930521Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1930633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1930831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1930895Z return mod(*inputs) 2025-08-14T21:36:22.1931115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1931187Z x = self.forward_features(x) 2025-08-14T21:36:22.1931434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1931510Z x = self.blocks(x) 2025-08-14T21:36:22.1931753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1931829Z x = self.conv_pw(x) 2025-08-14T21:36:22.1932051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1932124Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1932128Z 2025-08-14T21:36:22.1932245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1932453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1932529Z return mod(*inputs) 2025-08-14T21:36:22.1932752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1932830Z x = self.forward_features(x) 2025-08-14T21:36:22.1933087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1933154Z x = self.blocks(x) 2025-08-14T21:36:22.1933396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1933473Z x = self.bn1(x) 2025-08-14T21:36:22.1933686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.1933758Z x = F.batch_norm( 2025-08-14T21:36:22.1933763Z 2025-08-14T21:36:22.1933872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1934080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1934157Z return mod(*inputs) 2025-08-14T21:36:22.1934414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1934490Z x = self.forward_features(x) 2025-08-14T21:36:22.1934750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1934816Z x = self.blocks(x) 2025-08-14T21:36:22.1935064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1935162Z x = self.bn1(x) 2025-08-14T21:36:22.1935375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1935448Z x = self.act(x) 2025-08-14T21:36:22.1935452Z 2025-08-14T21:36:22.1935536Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1935644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1935863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1935935Z return mod(*inputs) 2025-08-14T21:36:22.1936166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1936307Z x = self.forward_features(x) 2025-08-14T21:36:22.1936562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1936644Z x = self.blocks(x) 2025-08-14T21:36:22.1936895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1936966Z x = self.conv_dw(x) 2025-08-14T21:36:22.1937198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1937309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1937550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1937661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1937665Z 2025-08-14T21:36:22.1937775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1937997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1938067Z return mod(*inputs) 2025-08-14T21:36:22.1938305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1938385Z x = self.forward_features(x) 2025-08-14T21:36:22.1938641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1938716Z x = self.blocks(x) 2025-08-14T21:36:22.1938962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1939030Z x = self.conv_dw(x) 2025-08-14T21:36:22.1939269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1939381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1939620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1939726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1939733Z 2025-08-14T21:36:22.1939817Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1939933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1940144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1940211Z return mod(*inputs) 2025-08-14T21:36:22.1940447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1940522Z x = self.forward_features(x) 2025-08-14T21:36:22.1940826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1940896Z x = self.blocks(x) 2025-08-14T21:36:22.1941142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1941218Z x = self.conv_dw(x) 2025-08-14T21:36:22.1941437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1941579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1941814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1941920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1941923Z 2025-08-14T21:36:22.1942039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1942248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1942315Z return mod(*inputs) 2025-08-14T21:36:22.1942545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1942618Z x = self.forward_features(x) 2025-08-14T21:36:22.1942873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1942942Z x = self.blocks(x) 2025-08-14T21:36:22.1943181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1943255Z x = self.conv_dw(x) 2025-08-14T21:36:22.1943472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1943579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1943817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1943923Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1943926Z 2025-08-14T21:36:22.1944017Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1944101Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1944210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1944432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1944504Z return mod(*inputs) 2025-08-14T21:36:22.1944728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1944812Z x = self.forward_features(x) 2025-08-14T21:36:22.1945064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1945140Z x = self.blocks(x) 2025-08-14T21:36:22.1945382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1945450Z x = self.conv_dw(x) 2025-08-14T21:36:22.1945676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1945748Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1945752Z 2025-08-14T21:36:22.1945837Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1945956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1946168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1946244Z return mod(*inputs) 2025-08-14T21:36:22.1946467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1946541Z x = self.forward_features(x) 2025-08-14T21:36:22.1946796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1946896Z x = self.blocks(x) 2025-08-14T21:36:22.1947146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1947214Z x = self.se(x) 2025-08-14T21:36:22.1947434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.1947551Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.1947555Z 2025-08-14T21:36:22.1947656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1947858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1947929Z return mod(*inputs) 2025-08-14T21:36:22.1948132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1948208Z x = self.forward_features(x) 2025-08-14T21:36:22.1948442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1948503Z x = self.blocks(x) 2025-08-14T21:36:22.1948732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1948791Z x = self.se(x) 2025-08-14T21:36:22.1949011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.1949089Z x_se = self.act1(x_se) 2025-08-14T21:36:22.1949092Z 2025-08-14T21:36:22.1949192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1949395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1949469Z return mod(*inputs) 2025-08-14T21:36:22.1949670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1949743Z x = self.forward_features(x) 2025-08-14T21:36:22.1949971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1950032Z x = self.blocks(x) 2025-08-14T21:36:22.1950264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1950324Z x = self.se(x) 2025-08-14T21:36:22.1950554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.1950621Z x_se = self.act1(x_se) 2025-08-14T21:36:22.1950625Z 2025-08-14T21:36:22.1950722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1950926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1950990Z return mod(*inputs) 2025-08-14T21:36:22.1951200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1951282Z x = self.forward_features(x) 2025-08-14T21:36:22.1951519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1951591Z x = self.blocks(x) 2025-08-14T21:36:22.1951832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1951892Z x = self.se(x) 2025-08-14T21:36:22.1952125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1952194Z return x * self.gate(x_se) 2025-08-14T21:36:22.1952198Z 2025-08-14T21:36:22.1952304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1952503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1952567Z return mod(*inputs) 2025-08-14T21:36:22.1952829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1952902Z x = self.forward_features(x) 2025-08-14T21:36:22.1953143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1953211Z x = self.blocks(x) 2025-08-14T21:36:22.1953432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1953529Z x = self.se(x) 2025-08-14T21:36:22.1953752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1953819Z return x * self.gate(x_se) 2025-08-14T21:36:22.1953823Z 2025-08-14T21:36:22.1953930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1954129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1954190Z return mod(*inputs) 2025-08-14T21:36:22.1954411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1954478Z x = self.forward_features(x) 2025-08-14T21:36:22.1954707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1954769Z x = self.blocks(x) 2025-08-14T21:36:22.1954987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.1955052Z x = self.se(x) 2025-08-14T21:36:22.1955265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.1955331Z return x * self.gate(x_se) 2025-08-14T21:36:22.1955335Z 2025-08-14T21:36:22.1955418Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1955515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1955711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1955771Z return mod(*inputs) 2025-08-14T21:36:22.1955972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1956046Z x = self.forward_features(x) 2025-08-14T21:36:22.1956269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1956330Z x = self.blocks(x) 2025-08-14T21:36:22.1956550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1956614Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1956816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1956915Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1957126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1957231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1957235Z 2025-08-14T21:36:22.1957331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1957526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1957590Z return mod(*inputs) 2025-08-14T21:36:22.1957790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1957863Z x = self.forward_features(x) 2025-08-14T21:36:22.1958084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1958145Z x = self.blocks(x) 2025-08-14T21:36:22.1958368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1958458Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1958665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1958766Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1958972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1959114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1959117Z 2025-08-14T21:36:22.1959194Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1959292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1959486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1959549Z return mod(*inputs) 2025-08-14T21:36:22.1959762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1959834Z x = self.forward_features(x) 2025-08-14T21:36:22.1960064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1960134Z x = self.blocks(x) 2025-08-14T21:36:22.1960356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1960424Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1960634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1960731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1960958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1961052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1961055Z 2025-08-14T21:36:22.1961155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1961347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1961408Z return mod(*inputs) 2025-08-14T21:36:22.1961615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1961683Z x = self.forward_features(x) 2025-08-14T21:36:22.1961909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1961975Z x = self.blocks(x) 2025-08-14T21:36:22.1962191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1962255Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1962458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1962553Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1962764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1962860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1962863Z 2025-08-14T21:36:22.1962941Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1963022Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1963125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1963313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1963384Z return mod(*inputs) 2025-08-14T21:36:22.1963588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1963662Z x = self.forward_features(x) 2025-08-14T21:36:22.1963887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1963988Z x = self.blocks(x) 2025-08-14T21:36:22.1964225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.1964290Z x = self.conv_pwl(x) 2025-08-14T21:36:22.1964501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1964604Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1964607Z 2025-08-14T21:36:22.1964705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1964901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1964964Z return mod(*inputs) 2025-08-14T21:36:22.1965167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1965242Z x = self.forward_features(x) 2025-08-14T21:36:22.1965469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1965529Z x = self.blocks(x) 2025-08-14T21:36:22.1965751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.1965822Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.1965825Z 2025-08-14T21:36:22.1965930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1966119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1966182Z return mod(*inputs) 2025-08-14T21:36:22.1966391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1966458Z x = self.forward_features(x) 2025-08-14T21:36:22.1966692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1966751Z x = self.blocks(x) 2025-08-14T21:36:22.1966974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1967044Z x = self.conv_pw(x) 2025-08-14T21:36:22.1967246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1967347Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1967566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1967664Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1967667Z 2025-08-14T21:36:22.1967774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1967967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1968032Z return mod(*inputs) 2025-08-14T21:36:22.1968246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1968317Z x = self.forward_features(x) 2025-08-14T21:36:22.1968544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1968611Z x = self.blocks(x) 2025-08-14T21:36:22.1968832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1968904Z x = self.conv_pw(x) 2025-08-14T21:36:22.1969106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1969206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1969426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1969525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1969528Z 2025-08-14T21:36:22.1969668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1969865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1969929Z return mod(*inputs) 2025-08-14T21:36:22.1970147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1970250Z x = self.forward_features(x) 2025-08-14T21:36:22.1970483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1970554Z x = self.blocks(x) 2025-08-14T21:36:22.1970780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1970849Z x = self.conv_pw(x) 2025-08-14T21:36:22.1971052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1971155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1971372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1971472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1971475Z 2025-08-14T21:36:22.1971574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1971782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1971847Z return mod(*inputs) 2025-08-14T21:36:22.1972068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1972139Z x = self.forward_features(x) 2025-08-14T21:36:22.1972374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1972446Z x = self.blocks(x) 2025-08-14T21:36:22.1972676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1972740Z x = self.conv_pw(x) 2025-08-14T21:36:22.1972955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1973057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1973285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1973385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1973389Z 2025-08-14T21:36:22.1973470Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1973558Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1973660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1973867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1973934Z return mod(*inputs) 2025-08-14T21:36:22.1974149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1974236Z x = self.forward_features(x) 2025-08-14T21:36:22.1974472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1974540Z x = self.blocks(x) 2025-08-14T21:36:22.1974779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.1974843Z x = self.conv_pw(x) 2025-08-14T21:36:22.1975058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.1975126Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.1975130Z 2025-08-14T21:36:22.1975233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1975487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1975553Z return mod(*inputs) 2025-08-14T21:36:22.1975764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1975842Z x = self.forward_features(x) 2025-08-14T21:36:22.1976077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1976249Z x = self.blocks(x) 2025-08-14T21:36:22.1976500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1976567Z x = self.bn1(x) 2025-08-14T21:36:22.1976796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.1976866Z x = F.batch_norm( 2025-08-14T21:36:22.1976871Z 2025-08-14T21:36:22.1976982Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1977220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1977289Z return mod(*inputs) 2025-08-14T21:36:22.1977522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1977597Z x = self.forward_features(x) 2025-08-14T21:36:22.1977843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1977917Z x = self.blocks(x) 2025-08-14T21:36:22.1978139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.1978200Z x = self.bn1(x) 2025-08-14T21:36:22.1978408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.1978468Z x = self.act(x) 2025-08-14T21:36:22.1978472Z 2025-08-14T21:36:22.1978561Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.1978661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1978855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1978925Z return mod(*inputs) 2025-08-14T21:36:22.1979131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.1979201Z x = self.forward_features(x) 2025-08-14T21:36:22.1979434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.1979495Z x = self.blocks(x) 2025-08-14T21:36:22.1979723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.1979784Z x = self.conv_dw(x) 2025-08-14T21:36:22.1979992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.1980103Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1980313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.1980419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.1980422Z 2025-08-14T21:36:22.1980521Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.1980714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.1980785Z return mod(*inputs) 2025-08-14T21:36:22.1981000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2004607Z x = self.forward_features(x) 2025-08-14T21:36:22.2005052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2005127Z x = self.blocks(x) 2025-08-14T21:36:22.2005507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2005581Z x = self.conv_dw(x) 2025-08-14T21:36:22.2005796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2005921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2006205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2006309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2006322Z 2025-08-14T21:36:22.2006410Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2006521Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2006743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2006812Z return mod(*inputs) 2025-08-14T21:36:22.2007040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2007124Z x = self.forward_features(x) 2025-08-14T21:36:22.2007376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2007442Z x = self.blocks(x) 2025-08-14T21:36:22.2007685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2007752Z x = self.conv_dw(x) 2025-08-14T21:36:22.2007965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2008072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2008291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2008405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2008409Z 2025-08-14T21:36:22.2008517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2008726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2008803Z return mod(*inputs) 2025-08-14T21:36:22.2009020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2009103Z x = self.forward_features(x) 2025-08-14T21:36:22.2009349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2009415Z x = self.blocks(x) 2025-08-14T21:36:22.2009650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2009714Z x = self.conv_dw(x) 2025-08-14T21:36:22.2009921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2010032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2010247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2010358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2010365Z 2025-08-14T21:36:22.2010448Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2010526Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2010639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2010844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2010916Z return mod(*inputs) 2025-08-14T21:36:22.2011129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2011201Z x = self.forward_features(x) 2025-08-14T21:36:22.2011471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2011537Z x = self.blocks(x) 2025-08-14T21:36:22.2011977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2012059Z x = self.conv_dw(x) 2025-08-14T21:36:22.2012343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2012423Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2012427Z 2025-08-14T21:36:22.2012509Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2012622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2012843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2012912Z return mod(*inputs) 2025-08-14T21:36:22.2013142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2013236Z x = self.forward_features(x) 2025-08-14T21:36:22.2013472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2013545Z x = self.blocks(x) 2025-08-14T21:36:22.2013773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2013839Z x = self.se(x) 2025-08-14T21:36:22.2014077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2014156Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2014160Z 2025-08-14T21:36:22.2014266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2014476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2014546Z return mod(*inputs) 2025-08-14T21:36:22.2014782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2014856Z x = self.forward_features(x) 2025-08-14T21:36:22.2015104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2015178Z x = self.blocks(x) 2025-08-14T21:36:22.2015421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2015487Z x = self.se(x) 2025-08-14T21:36:22.2015731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2015804Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2015808Z 2025-08-14T21:36:22.2015925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2016139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2016268Z return mod(*inputs) 2025-08-14T21:36:22.2016515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2016591Z x = self.forward_features(x) 2025-08-14T21:36:22.2016848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2016920Z x = self.blocks(x) 2025-08-14T21:36:22.2017161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2017232Z x = self.se(x) 2025-08-14T21:36:22.2017471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2017543Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2017548Z 2025-08-14T21:36:22.2017669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2017947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2018025Z return mod(*inputs) 2025-08-14T21:36:22.2018242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2018312Z x = self.forward_features(x) 2025-08-14T21:36:22.2018558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2018672Z x = self.blocks(x) 2025-08-14T21:36:22.2018902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2018969Z x = self.se(x) 2025-08-14T21:36:22.2019192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2019269Z return x * self.gate(x_se) 2025-08-14T21:36:22.2019272Z 2025-08-14T21:36:22.2019376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2019586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2019656Z return mod(*inputs) 2025-08-14T21:36:22.2019863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2019932Z x = self.forward_features(x) 2025-08-14T21:36:22.2020176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2020238Z x = self.blocks(x) 2025-08-14T21:36:22.2020476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2020536Z x = self.se(x) 2025-08-14T21:36:22.2020759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2020836Z return x * self.gate(x_se) 2025-08-14T21:36:22.2020841Z 2025-08-14T21:36:22.2020948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2021147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2021219Z return mod(*inputs) 2025-08-14T21:36:22.2021438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2021525Z x = self.forward_features(x) 2025-08-14T21:36:22.2021778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2021845Z x = self.blocks(x) 2025-08-14T21:36:22.2022099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2022158Z x = self.se(x) 2025-08-14T21:36:22.2022381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2022460Z return x * self.gate(x_se) 2025-08-14T21:36:22.2022463Z 2025-08-14T21:36:22.2022544Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2022653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2022853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2022916Z return mod(*inputs) 2025-08-14T21:36:22.2023143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2023214Z x = self.forward_features(x) 2025-08-14T21:36:22.2023463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2023524Z x = self.blocks(x) 2025-08-14T21:36:22.2023746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2023821Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2024056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2024161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2024383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2024484Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2024518Z 2025-08-14T21:36:22.2024628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2024822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2024886Z return mod(*inputs) 2025-08-14T21:36:22.2025102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2025171Z x = self.forward_features(x) 2025-08-14T21:36:22.2025401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2025471Z x = self.blocks(x) 2025-08-14T21:36:22.2025688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2025761Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2025964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2026069Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2026287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2026385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2026388Z 2025-08-14T21:36:22.2026471Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2026571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2026768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2026838Z return mod(*inputs) 2025-08-14T21:36:22.2027046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2027116Z x = self.forward_features(x) 2025-08-14T21:36:22.2027353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2027417Z x = self.blocks(x) 2025-08-14T21:36:22.2027644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2027708Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2027912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2028016Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2028229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2028327Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2028330Z 2025-08-14T21:36:22.2028437Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2028635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2028710Z return mod(*inputs) 2025-08-14T21:36:22.2028917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2028985Z x = self.forward_features(x) 2025-08-14T21:36:22.2029219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2029281Z x = self.blocks(x) 2025-08-14T21:36:22.2029501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2029607Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2029811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2029917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2030132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2030270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2030274Z 2025-08-14T21:36:22.2030361Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2030438Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2030547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2030757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2030822Z return mod(*inputs) 2025-08-14T21:36:22.2031037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2031105Z x = self.forward_features(x) 2025-08-14T21:36:22.2031335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2031405Z x = self.blocks(x) 2025-08-14T21:36:22.2031624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2031698Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2031902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2031970Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2031973Z 2025-08-14T21:36:22.2032082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2032278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2032340Z return mod(*inputs) 2025-08-14T21:36:22.2032556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2032622Z x = self.forward_features(x) 2025-08-14T21:36:22.2032857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2032917Z x = self.blocks(x) 2025-08-14T21:36:22.2033143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2033222Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2033226Z 2025-08-14T21:36:22.2033324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2033518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2033591Z return mod(*inputs) 2025-08-14T21:36:22.2033795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2033870Z x = self.forward_features(x) 2025-08-14T21:36:22.2034096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2034156Z x = self.blocks(x) 2025-08-14T21:36:22.2034382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2034445Z x = self.bn1(x) 2025-08-14T21:36:22.2034642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2034711Z x = self.act(x) 2025-08-14T21:36:22.2034714Z 2025-08-14T21:36:22.2034812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2035013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2035077Z return mod(*inputs) 2025-08-14T21:36:22.2035315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2035394Z x = self.forward_features(x) 2025-08-14T21:36:22.2035630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2035696Z x = self.blocks(x) 2025-08-14T21:36:22.2035916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2036008Z x = self.bn1(x) 2025-08-14T21:36:22.2036209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2036268Z x = self.act(x) 2025-08-14T21:36:22.2036272Z 2025-08-14T21:36:22.2036369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2036563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2036626Z return mod(*inputs) 2025-08-14T21:36:22.2036836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2036904Z x = self.forward_features(x) 2025-08-14T21:36:22.2037126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2037193Z x = self.blocks(x) 2025-08-14T21:36:22.2037409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2037473Z x = self.conv_dw(x) 2025-08-14T21:36:22.2037678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2037779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2037993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2038092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2038099Z 2025-08-14T21:36:22.2038196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2038393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2038455Z return mod(*inputs) 2025-08-14T21:36:22.2038657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2038735Z x = self.forward_features(x) 2025-08-14T21:36:22.2038958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2039026Z x = self.blocks(x) 2025-08-14T21:36:22.2039238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2039296Z x = self.conv_dw(x) 2025-08-14T21:36:22.2039537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2039644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2039871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2039973Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2039976Z 2025-08-14T21:36:22.2040077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2040285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2040350Z return mod(*inputs) 2025-08-14T21:36:22.2040564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2040644Z x = self.forward_features(x) 2025-08-14T21:36:22.2040879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2040949Z x = self.blocks(x) 2025-08-14T21:36:22.2041212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2041278Z x = self.conv_dw(x) 2025-08-14T21:36:22.2041532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2041631Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2041890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2041997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2042001Z 2025-08-14T21:36:22.2042113Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2042308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2042370Z return mod(*inputs) 2025-08-14T21:36:22.2042574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2042650Z x = self.forward_features(x) 2025-08-14T21:36:22.2042873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2042938Z x = self.blocks(x) 2025-08-14T21:36:22.2043155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2043219Z x = self.conv_dw(x) 2025-08-14T21:36:22.2043424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2043521Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2043725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2043830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2043834Z 2025-08-14T21:36:22.2043936Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2044136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2044200Z return mod(*inputs) 2025-08-14T21:36:22.2044407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2044486Z x = self.forward_features(x) 2025-08-14T21:36:22.2044715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2044776Z x = self.blocks(x) 2025-08-14T21:36:22.2045001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2045063Z x = self.conv_dw(x) 2025-08-14T21:36:22.2045273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2045373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2045583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2045690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2045694Z 2025-08-14T21:36:22.2045794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2045996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2046056Z return mod(*inputs) 2025-08-14T21:36:22.2046275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2046343Z x = self.forward_features(x) 2025-08-14T21:36:22.2046569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2046638Z x = self.blocks(x) 2025-08-14T21:36:22.2046887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2046951Z x = self.conv_dw(x) 2025-08-14T21:36:22.2047167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2047266Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2047521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2047619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2047622Z 2025-08-14T21:36:22.2047700Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2047783Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2047858Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2047959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2048170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2048232Z return mod(*inputs) 2025-08-14T21:36:22.2048439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2048505Z x = self.forward_features(x) 2025-08-14T21:36:22.2048731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2048802Z x = self.blocks(x) 2025-08-14T21:36:22.2049022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2049083Z x = self.conv_dw(x) 2025-08-14T21:36:22.2049292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2049361Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2049364Z 2025-08-14T21:36:22.2049448Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2049551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2049745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2049816Z return mod(*inputs) 2025-08-14T21:36:22.2050024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2050097Z x = self.forward_features(x) 2025-08-14T21:36:22.2050342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2050406Z x = self.blocks(x) 2025-08-14T21:36:22.2050643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2050704Z x = self.se(x) 2025-08-14T21:36:22.2050929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2051015Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2051019Z 2025-08-14T21:36:22.2051122Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2051319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2051388Z return mod(*inputs) 2025-08-14T21:36:22.2051596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2051675Z x = self.forward_features(x) 2025-08-14T21:36:22.2051907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2051969Z x = self.blocks(x) 2025-08-14T21:36:22.2052204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2052265Z x = self.se(x) 2025-08-14T21:36:22.2052529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2052610Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2052614Z 2025-08-14T21:36:22.2052722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2052951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2053019Z return mod(*inputs) 2025-08-14T21:36:22.2053280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2053364Z x = self.forward_features(x) 2025-08-14T21:36:22.2053612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2053695Z x = self.blocks(x) 2025-08-14T21:36:22.2053923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2053982Z x = self.se(x) 2025-08-14T21:36:22.2054220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2054287Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2054291Z 2025-08-14T21:36:22.2054394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2054604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2054672Z return mod(*inputs) 2025-08-14T21:36:22.2054894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2054964Z x = self.forward_features(x) 2025-08-14T21:36:22.2055198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2055268Z x = self.blocks(x) 2025-08-14T21:36:22.2055493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2055557Z x = self.se(x) 2025-08-14T21:36:22.2055792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2055863Z return x * self.gate(x_se) 2025-08-14T21:36:22.2055866Z 2025-08-14T21:36:22.2055977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2056279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2056365Z return mod(*inputs) 2025-08-14T21:36:22.2056604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2056680Z x = self.forward_features(x) 2025-08-14T21:36:22.2056930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2057006Z x = self.blocks(x) 2025-08-14T21:36:22.2057251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2057326Z x = self.se(x) 2025-08-14T21:36:22.2057563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2057635Z return x * self.gate(x_se) 2025-08-14T21:36:22.2057639Z 2025-08-14T21:36:22.2057751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2057953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2058027Z return mod(*inputs) 2025-08-14T21:36:22.2058243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2058314Z x = self.forward_features(x) 2025-08-14T21:36:22.2058556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2058618Z x = self.blocks(x) 2025-08-14T21:36:22.2058891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2058960Z x = self.se(x) 2025-08-14T21:36:22.2059189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2059266Z return x * self.gate(x_se) 2025-08-14T21:36:22.2059300Z 2025-08-14T21:36:22.2059404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2059598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2059670Z return mod(*inputs) 2025-08-14T21:36:22.2059881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2059956Z x = self.forward_features(x) 2025-08-14T21:36:22.2060212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2060282Z x = self.blocks(x) 2025-08-14T21:36:22.2060528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2060599Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2060602Z 2025-08-14T21:36:22.2060711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2060928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2060997Z return mod(*inputs) 2025-08-14T21:36:22.2061222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2061312Z x = self.forward_features(x) 2025-08-14T21:36:22.2061544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2061613Z x = self.blocks(x) 2025-08-14T21:36:22.2061841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2061908Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2061911Z 2025-08-14T21:36:22.2062020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2062217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2062289Z return mod(*inputs) 2025-08-14T21:36:22.2062506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2062576Z x = self.forward_features(x) 2025-08-14T21:36:22.2062816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2062879Z x = self.blocks(x) 2025-08-14T21:36:22.2063107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2063179Z x = self.conv_pw(x) 2025-08-14T21:36:22.2063390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2063505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2063722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2063827Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2063833Z 2025-08-14T21:36:22.2063944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2064143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2064208Z return mod(*inputs) 2025-08-14T21:36:22.2064430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2064499Z x = self.forward_features(x) 2025-08-14T21:36:22.2064784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2064850Z x = self.blocks(x) 2025-08-14T21:36:22.2065078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2065152Z x = self.conv_pw(x) 2025-08-14T21:36:22.2065360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2065498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2065722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2065823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2065826Z 2025-08-14T21:36:22.2065936Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2066135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2066202Z return mod(*inputs) 2025-08-14T21:36:22.2066423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2066494Z x = self.forward_features(x) 2025-08-14T21:36:22.2066737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2066804Z x = self.blocks(x) 2025-08-14T21:36:22.2067031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2067101Z x = self.conv_pw(x) 2025-08-14T21:36:22.2067306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2067408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2067631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2067735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2067747Z 2025-08-14T21:36:22.2067852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2068040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2068101Z return mod(*inputs) 2025-08-14T21:36:22.2068311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2068378Z x = self.forward_features(x) 2025-08-14T21:36:22.2068600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2068668Z x = self.blocks(x) 2025-08-14T21:36:22.2068882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2068950Z x = self.conv_pw(x) 2025-08-14T21:36:22.2069150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2069249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2069463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2069559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2069565Z 2025-08-14T21:36:22.2069647Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2069722Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2069819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2070016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2070078Z return mod(*inputs) 2025-08-14T21:36:22.2070282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2070388Z x = self.forward_features(x) 2025-08-14T21:36:22.2070618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2070687Z x = self.blocks(x) 2025-08-14T21:36:22.2070910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2071005Z x = self.conv_pw(x) 2025-08-14T21:36:22.2071219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2071284Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2071288Z 2025-08-14T21:36:22.2071389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2071590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2071652Z return mod(*inputs) 2025-08-14T21:36:22.2071867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2071936Z x = self.forward_features(x) 2025-08-14T21:36:22.2072176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2072242Z x = self.blocks(x) 2025-08-14T21:36:22.2072459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2072521Z x = self.bn1(x) 2025-08-14T21:36:22.2072718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.2072779Z x = F.batch_norm( 2025-08-14T21:36:22.2072782Z 2025-08-14T21:36:22.2072886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2073074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2073134Z return mod(*inputs) 2025-08-14T21:36:22.2073344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2073411Z x = self.forward_features(x) 2025-08-14T21:36:22.2073638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2073706Z x = self.blocks(x) 2025-08-14T21:36:22.2073921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2073989Z x = self.bn1(x) 2025-08-14T21:36:22.2074180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2074237Z x = self.act(x) 2025-08-14T21:36:22.2074240Z 2025-08-14T21:36:22.2074323Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2074420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2074613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2074683Z return mod(*inputs) 2025-08-14T21:36:22.2074883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2074956Z x = self.forward_features(x) 2025-08-14T21:36:22.2075179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2075241Z x = self.blocks(x) 2025-08-14T21:36:22.2075464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2075524Z x = self.conv_dw(x) 2025-08-14T21:36:22.2075723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2075830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2076071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2076180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2076184Z 2025-08-14T21:36:22.2076281Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2076471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2076541Z return mod(*inputs) 2025-08-14T21:36:22.2076800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2076876Z x = self.forward_features(x) 2025-08-14T21:36:22.2077099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2077160Z x = self.blocks(x) 2025-08-14T21:36:22.2077382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2077443Z x = self.conv_dw(x) 2025-08-14T21:36:22.2077643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2077749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2077955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2078059Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2078065Z 2025-08-14T21:36:22.2078143Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2078241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2078436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2078499Z return mod(*inputs) 2025-08-14T21:36:22.2078699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2078775Z x = self.forward_features(x) 2025-08-14T21:36:22.2079001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2079067Z x = self.blocks(x) 2025-08-14T21:36:22.2079284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2079346Z x = self.conv_dw(x) 2025-08-14T21:36:22.2079554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2079650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2079865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2079963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2079966Z 2025-08-14T21:36:22.2080067Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2080268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2080331Z return mod(*inputs) 2025-08-14T21:36:22.2080537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2080612Z x = self.forward_features(x) 2025-08-14T21:36:22.2080841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2080910Z x = self.blocks(x) 2025-08-14T21:36:22.2081141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2081202Z x = self.conv_dw(x) 2025-08-14T21:36:22.2081404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2081500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2081736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2081842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2081845Z 2025-08-14T21:36:22.2081921Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2082027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2082212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2082304Z return mod(*inputs) 2025-08-14T21:36:22.2082516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2082584Z x = self.forward_features(x) 2025-08-14T21:36:22.2082821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2082888Z x = self.blocks(x) 2025-08-14T21:36:22.2083109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2083178Z x = self.conv_dw(x) 2025-08-14T21:36:22.2083376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2083473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2083687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2083786Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2083789Z 2025-08-14T21:36:22.2083894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2084082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2084143Z return mod(*inputs) 2025-08-14T21:36:22.2084349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2084419Z x = self.forward_features(x) 2025-08-14T21:36:22.2084641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2084708Z x = self.blocks(x) 2025-08-14T21:36:22.2084921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2084990Z x = self.conv_dw(x) 2025-08-14T21:36:22.2085186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2085282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2085493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2085589Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2085592Z 2025-08-14T21:36:22.2085673Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2085773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2085964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2086033Z return mod(*inputs) 2025-08-14T21:36:22.2086230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2086299Z x = self.forward_features(x) 2025-08-14T21:36:22.2086527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2086585Z x = self.blocks(x) 2025-08-14T21:36:22.2086801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2086868Z x = self.conv_dw(x) 2025-08-14T21:36:22.2087061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2087201Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2087410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2087505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2087508Z 2025-08-14T21:36:22.2087615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2087830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2087898Z return mod(*inputs) 2025-08-14T21:36:22.2088100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2088168Z x = self.forward_features(x) 2025-08-14T21:36:22.2088397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2088457Z x = self.blocks(x) 2025-08-14T21:36:22.2088676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2088744Z x = self.conv_dw(x) 2025-08-14T21:36:22.2088940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2089042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2089261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2089352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2089357Z 2025-08-14T21:36:22.2089440Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2089512Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2089583Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2089661Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2089758Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2089960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2090023Z return mod(*inputs) 2025-08-14T21:36:22.2090233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2090310Z x = self.forward_features(x) 2025-08-14T21:36:22.2090544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2090605Z x = self.blocks(x) 2025-08-14T21:36:22.2090838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2090901Z x = self.conv_dw(x) 2025-08-14T21:36:22.2091114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2091181Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2091185Z 2025-08-14T21:36:22.2091263Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2091371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2091563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2091626Z return mod(*inputs) 2025-08-14T21:36:22.2091842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2091914Z x = self.forward_features(x) 2025-08-14T21:36:22.2092153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2092215Z x = self.blocks(x) 2025-08-14T21:36:22.2092438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2092507Z x = self.se(x) 2025-08-14T21:36:22.2092754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2092829Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2092839Z 2025-08-14T21:36:22.2092940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2093136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2093206Z return mod(*inputs) 2025-08-14T21:36:22.2093448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2093518Z x = self.forward_features(x) 2025-08-14T21:36:22.2093764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2093826Z x = self.blocks(x) 2025-08-14T21:36:22.2094063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2094124Z x = self.se(x) 2025-08-14T21:36:22.2094353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2094429Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2094433Z 2025-08-14T21:36:22.2094535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2094737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2094819Z return mod(*inputs) 2025-08-14T21:36:22.2095031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2095108Z x = self.forward_features(x) 2025-08-14T21:36:22.2095343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2095404Z x = self.blocks(x) 2025-08-14T21:36:22.2095634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2095697Z x = self.se(x) 2025-08-14T21:36:22.2095927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2095994Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2095997Z 2025-08-14T21:36:22.2096103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2096395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2096474Z return mod(*inputs) 2025-08-14T21:36:22.2096700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2096785Z x = self.forward_features(x) 2025-08-14T21:36:22.2097035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2097110Z x = self.blocks(x) 2025-08-14T21:36:22.2097353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2097412Z x = self.se(x) 2025-08-14T21:36:22.2097639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2097708Z return x * self.gate(x_se) 2025-08-14T21:36:22.2097711Z 2025-08-14T21:36:22.2097812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2098018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2098080Z return mod(*inputs) 2025-08-14T21:36:22.2098289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2098356Z x = self.forward_features(x) 2025-08-14T21:36:22.2098578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2098646Z x = self.blocks(x) 2025-08-14T21:36:22.2098901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2098967Z x = self.se(x) 2025-08-14T21:36:22.2099180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2099246Z return x * self.gate(x_se) 2025-08-14T21:36:22.2099249Z 2025-08-14T21:36:22.2099385Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2099575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2099635Z return mod(*inputs) 2025-08-14T21:36:22.2099844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2099911Z x = self.forward_features(x) 2025-08-14T21:36:22.2100151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2100213Z x = self.blocks(x) 2025-08-14T21:36:22.2100429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2100494Z x = self.se(x) 2025-08-14T21:36:22.2100713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2100781Z return x * self.gate(x_se) 2025-08-14T21:36:22.2100784Z 2025-08-14T21:36:22.2100870Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2100968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2101165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2101226Z return mod(*inputs) 2025-08-14T21:36:22.2101438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2101511Z x = self.forward_features(x) 2025-08-14T21:36:22.2101743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2101803Z x = self.blocks(x) 2025-08-14T21:36:22.2102030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2102094Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2102306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2102411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2102627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2102737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2102741Z 2025-08-14T21:36:22.2102842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2103047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2103114Z return mod(*inputs) 2025-08-14T21:36:22.2103325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2103402Z x = self.forward_features(x) 2025-08-14T21:36:22.2103651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2103713Z x = self.blocks(x) 2025-08-14T21:36:22.2103937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2104001Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2104205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2104301Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2104536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2104642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2104645Z 2025-08-14T21:36:22.2104721Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2104818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2105016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2105117Z return mod(*inputs) 2025-08-14T21:36:22.2105365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2105433Z x = self.forward_features(x) 2025-08-14T21:36:22.2105658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2105725Z x = self.blocks(x) 2025-08-14T21:36:22.2105946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2106010Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2106215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2106319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2106534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2106634Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2106637Z 2025-08-14T21:36:22.2106735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2106932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2106994Z return mod(*inputs) 2025-08-14T21:36:22.2107203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2107271Z x = self.forward_features(x) 2025-08-14T21:36:22.2107497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2107564Z x = self.blocks(x) 2025-08-14T21:36:22.2107780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2107846Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2108050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2108145Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2108356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2108451Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2108454Z 2025-08-14T21:36:22.2108529Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2108614Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2108710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2108901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2108971Z return mod(*inputs) 2025-08-14T21:36:22.2109173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2109249Z x = self.forward_features(x) 2025-08-14T21:36:22.2109471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2109530Z x = self.blocks(x) 2025-08-14T21:36:22.2109753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2109817Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2110019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2110155Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2110160Z 2025-08-14T21:36:22.2110263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2110465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2110528Z return mod(*inputs) 2025-08-14T21:36:22.2110738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2110844Z x = self.forward_features(x) 2025-08-14T21:36:22.2111092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2111151Z x = self.blocks(x) 2025-08-14T21:36:22.2111385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2111457Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2111461Z 2025-08-14T21:36:22.2111571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2111919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2111985Z return mod(*inputs) 2025-08-14T21:36:22.2112195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2112266Z x = self.forward_features(x) 2025-08-14T21:36:22.2112496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2112556Z x = self.blocks(x) 2025-08-14T21:36:22.2112769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2112837Z x = self.conv_pw(x) 2025-08-14T21:36:22.2113035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2113135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2113348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2113446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2113449Z 2025-08-14T21:36:22.2113553Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2113743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2113805Z return mod(*inputs) 2025-08-14T21:36:22.2114013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2114077Z x = self.forward_features(x) 2025-08-14T21:36:22.2114297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2114363Z x = self.blocks(x) 2025-08-14T21:36:22.2114580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2114650Z x = self.conv_pw(x) 2025-08-14T21:36:22.2114844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2114940Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2115153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2115249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2115252Z 2025-08-14T21:36:22.2115358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2115544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2115603Z return mod(*inputs) 2025-08-14T21:36:22.2115870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2115940Z x = self.forward_features(x) 2025-08-14T21:36:22.2116167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2116234Z x = self.blocks(x) 2025-08-14T21:36:22.2116450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2116574Z x = self.conv_pw(x) 2025-08-14T21:36:22.2116769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2116865Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2117077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2117173Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2117176Z 2025-08-14T21:36:22.2117277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2117477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2117538Z return mod(*inputs) 2025-08-14T21:36:22.2117748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2117818Z x = self.forward_features(x) 2025-08-14T21:36:22.2118041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2118108Z x = self.blocks(x) 2025-08-14T21:36:22.2118323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2118386Z x = self.conv_pw(x) 2025-08-14T21:36:22.2118588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2118686Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2118900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2118999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2119002Z 2025-08-14T21:36:22.2119077Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2119165Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2119262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2119464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2119526Z return mod(*inputs) 2025-08-14T21:36:22.2119728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2119805Z x = self.forward_features(x) 2025-08-14T21:36:22.2120037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2120098Z x = self.blocks(x) 2025-08-14T21:36:22.2120327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2120388Z x = self.conv_pw(x) 2025-08-14T21:36:22.2120595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2120666Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2120669Z 2025-08-14T21:36:22.2120768Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2120965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2121027Z return mod(*inputs) 2025-08-14T21:36:22.2121230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2121306Z x = self.forward_features(x) 2025-08-14T21:36:22.2121562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2121633Z x = self.blocks(x) 2025-08-14T21:36:22.2121855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2121916Z x = self.bn1(x) 2025-08-14T21:36:22.2122123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.2122216Z x = F.batch_norm( 2025-08-14T21:36:22.2122220Z 2025-08-14T21:36:22.2122328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2122528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2122590Z return mod(*inputs) 2025-08-14T21:36:22.2122803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2122871Z x = self.forward_features(x) 2025-08-14T21:36:22.2123105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2123175Z x = self.blocks(x) 2025-08-14T21:36:22.2123401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2123461Z x = self.bn1(x) 2025-08-14T21:36:22.2123668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2123729Z x = self.act(x) 2025-08-14T21:36:22.2123732Z 2025-08-14T21:36:22.2123816Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2123916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2124110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2124182Z return mod(*inputs) 2025-08-14T21:36:22.2124394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2124462Z x = self.forward_features(x) 2025-08-14T21:36:22.2124702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2124763Z x = self.blocks(x) 2025-08-14T21:36:22.2124992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2125056Z x = self.conv_dw(x) 2025-08-14T21:36:22.2125262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2125372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2125583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2125689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2125693Z 2025-08-14T21:36:22.2125795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2125988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2126056Z return mod(*inputs) 2025-08-14T21:36:22.2126264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2126335Z x = self.forward_features(x) 2025-08-14T21:36:22.2126571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2126632Z x = self.blocks(x) 2025-08-14T21:36:22.2126859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2126920Z x = self.conv_dw(x) 2025-08-14T21:36:22.2127124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2127260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2127471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2127569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2127580Z 2025-08-14T21:36:22.2127657Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2127797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2127995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2128057Z return mod(*inputs) 2025-08-14T21:36:22.2128264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2128339Z x = self.forward_features(x) 2025-08-14T21:36:22.2128566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2128629Z x = self.blocks(x) 2025-08-14T21:36:22.2128855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2128917Z x = self.conv_dw(x) 2025-08-14T21:36:22.2129122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2129223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2129435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2129540Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2129544Z 2025-08-14T21:36:22.2129644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2129844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2129907Z return mod(*inputs) 2025-08-14T21:36:22.2130115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2130192Z x = self.forward_features(x) 2025-08-14T21:36:22.2130417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2130477Z x = self.blocks(x) 2025-08-14T21:36:22.2130706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2130772Z x = self.conv_dw(x) 2025-08-14T21:36:22.2130980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2131078Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2131288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2131394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2131400Z 2025-08-14T21:36:22.2131479Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2131579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2131779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2131842Z return mod(*inputs) 2025-08-14T21:36:22.2132056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2132128Z x = self.forward_features(x) 2025-08-14T21:36:22.2132358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2132431Z x = self.blocks(x) 2025-08-14T21:36:22.2132657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2132727Z x = self.conv_dw(x) 2025-08-14T21:36:22.2132962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2133067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2133290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2133390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2133422Z 2025-08-14T21:36:22.2133525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2133733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2133796Z return mod(*inputs) 2025-08-14T21:36:22.2134017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2134087Z x = self.forward_features(x) 2025-08-14T21:36:22.2134325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2134396Z x = self.blocks(x) 2025-08-14T21:36:22.2134620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2134682Z x = self.conv_dw(x) 2025-08-14T21:36:22.2134893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2134997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2135219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2135319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2135324Z 2025-08-14T21:36:22.2135402Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2135513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2135712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2135776Z return mod(*inputs) 2025-08-14T21:36:22.2136000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2136076Z x = self.forward_features(x) 2025-08-14T21:36:22.2136403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2136480Z x = self.blocks(x) 2025-08-14T21:36:22.2136724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2136801Z x = self.conv_dw(x) 2025-08-14T21:36:22.2137019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2137136Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2137366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2137481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2137485Z 2025-08-14T21:36:22.2137594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2137787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2137849Z return mod(*inputs) 2025-08-14T21:36:22.2138067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2138136Z x = self.forward_features(x) 2025-08-14T21:36:22.2138372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2138432Z x = self.blocks(x) 2025-08-14T21:36:22.2138654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2138725Z x = self.conv_dw(x) 2025-08-14T21:36:22.2138960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2139061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2139277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2139373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2139407Z 2025-08-14T21:36:22.2139493Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2139570Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2139644Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2139726Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2139827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2140019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2140090Z return mod(*inputs) 2025-08-14T21:36:22.2140301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2140376Z x = self.forward_features(x) 2025-08-14T21:36:22.2140603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2140663Z x = self.blocks(x) 2025-08-14T21:36:22.2140893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2140956Z x = self.conv_dw(x) 2025-08-14T21:36:22.2141162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2141236Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2141239Z 2025-08-14T21:36:22.2141316Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2141423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2141631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2141695Z return mod(*inputs) 2025-08-14T21:36:22.2141905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2141972Z x = self.forward_features(x) 2025-08-14T21:36:22.2142199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2142268Z x = self.blocks(x) 2025-08-14T21:36:22.2142487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2142553Z x = self.se(x) 2025-08-14T21:36:22.2142782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2142853Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2142856Z 2025-08-14T21:36:22.2142963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2143151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2143217Z return mod(*inputs) 2025-08-14T21:36:22.2143418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2143485Z x = self.forward_features(x) 2025-08-14T21:36:22.2143715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2143774Z x = self.blocks(x) 2025-08-14T21:36:22.2143986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2144051Z x = self.se(x) 2025-08-14T21:36:22.2144264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2144333Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2144336Z 2025-08-14T21:36:22.2144463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2144654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2144724Z return mod(*inputs) 2025-08-14T21:36:22.2144926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2145260Z x = self.forward_features(x) 2025-08-14T21:36:22.2145495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2145555Z x = self.blocks(x) 2025-08-14T21:36:22.2145782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2145841Z x = self.se(x) 2025-08-14T21:36:22.2146056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2146131Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2146135Z 2025-08-14T21:36:22.2146234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2146424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2146492Z return mod(*inputs) 2025-08-14T21:36:22.2146696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2146777Z x = self.forward_features(x) 2025-08-14T21:36:22.2147004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2147064Z x = self.blocks(x) 2025-08-14T21:36:22.2147293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2147359Z x = self.se(x) 2025-08-14T21:36:22.2147579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2147656Z return x * self.gate(x_se) 2025-08-14T21:36:22.2147659Z 2025-08-14T21:36:22.2147757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2147954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2148015Z return mod(*inputs) 2025-08-14T21:36:22.2148220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2148293Z x = self.forward_features(x) 2025-08-14T21:36:22.2148520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2148586Z x = self.blocks(x) 2025-08-14T21:36:22.2148805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2148862Z x = self.se(x) 2025-08-14T21:36:22.2149088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2149153Z return x * self.gate(x_se) 2025-08-14T21:36:22.2149156Z 2025-08-14T21:36:22.2149253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2149453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2149517Z return mod(*inputs) 2025-08-14T21:36:22.2149731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2149797Z x = self.forward_features(x) 2025-08-14T21:36:22.2150023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2150091Z x = self.blocks(x) 2025-08-14T21:36:22.2150308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2150407Z x = self.se(x) 2025-08-14T21:36:22.2150633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2150701Z return x * self.gate(x_se) 2025-08-14T21:36:22.2150705Z 2025-08-14T21:36:22.2150795Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2150893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2151114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2151186Z return mod(*inputs) 2025-08-14T21:36:22.2151391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2151460Z x = self.forward_features(x) 2025-08-14T21:36:22.2151695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2151755Z x = self.blocks(x) 2025-08-14T21:36:22.2151994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2152058Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2152253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2152364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2152571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2152670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2152681Z 2025-08-14T21:36:22.2152777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2152963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2153030Z return mod(*inputs) 2025-08-14T21:36:22.2153229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2153294Z x = self.forward_features(x) 2025-08-14T21:36:22.2153522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2153580Z x = self.blocks(x) 2025-08-14T21:36:22.2153799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2153865Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2154065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2154171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2154374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2154470Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2154481Z 2025-08-14T21:36:22.2154561Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2154658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2154850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2154910Z return mod(*inputs) 2025-08-14T21:36:22.2155108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2155185Z x = self.forward_features(x) 2025-08-14T21:36:22.2155405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2155463Z x = self.blocks(x) 2025-08-14T21:36:22.2155685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2155748Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2155979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2156080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2156287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2156390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2156420Z 2025-08-14T21:36:22.2156520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2156716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2156778Z return mod(*inputs) 2025-08-14T21:36:22.2156979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2157054Z x = self.forward_features(x) 2025-08-14T21:36:22.2157278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2157341Z x = self.blocks(x) 2025-08-14T21:36:22.2157567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2157630Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2157837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2157938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2158146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2158249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2158252Z 2025-08-14T21:36:22.2158329Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2158405Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2158511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2158700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2158769Z return mod(*inputs) 2025-08-14T21:36:22.2158971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2159038Z x = self.forward_features(x) 2025-08-14T21:36:22.2159272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2159335Z x = self.blocks(x) 2025-08-14T21:36:22.2159552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2159623Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2159817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2159888Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2159892Z 2025-08-14T21:36:22.2159988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2160179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2160248Z return mod(*inputs) 2025-08-14T21:36:22.2160448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2160515Z x = self.forward_features(x) 2025-08-14T21:36:22.2160752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2160813Z x = self.blocks(x) 2025-08-14T21:36:22.2161041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2161114Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2161118Z 2025-08-14T21:36:22.2161216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2161450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2161515Z return mod(*inputs) 2025-08-14T21:36:22.2161729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2161797Z x = self.forward_features(x) 2025-08-14T21:36:22.2162025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2162124Z x = self.blocks(x) 2025-08-14T21:36:22.2162349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2162412Z x = self.conv_pw(x) 2025-08-14T21:36:22.2162623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2162722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2162942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2163043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2163047Z 2025-08-14T21:36:22.2163157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2163363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2163424Z return mod(*inputs) 2025-08-14T21:36:22.2163625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2163702Z x = self.forward_features(x) 2025-08-14T21:36:22.2163925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2163991Z x = self.blocks(x) 2025-08-14T21:36:22.2164207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2164267Z x = self.conv_pw(x) 2025-08-14T21:36:22.2164471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2164569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2164782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2164876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2164882Z 2025-08-14T21:36:22.2164978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2165171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2165232Z return mod(*inputs) 2025-08-14T21:36:22.2165429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2165504Z x = self.forward_features(x) 2025-08-14T21:36:22.2165727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2165793Z x = self.blocks(x) 2025-08-14T21:36:22.2166010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2166080Z x = self.conv_pw(x) 2025-08-14T21:36:22.2166277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2166373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2166571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2166669Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2166672Z 2025-08-14T21:36:22.2166767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2166955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2167046Z return mod(*inputs) 2025-08-14T21:36:22.2167243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2167316Z x = self.forward_features(x) 2025-08-14T21:36:22.2167532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2167650Z x = self.blocks(x) 2025-08-14T21:36:22.2167865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2167924Z x = self.conv_pw(x) 2025-08-14T21:36:22.2168122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2168216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2168417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2168522Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2168525Z 2025-08-14T21:36:22.2168601Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2168680Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2168776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2168957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2169027Z return mod(*inputs) 2025-08-14T21:36:22.2169225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2169291Z x = self.forward_features(x) 2025-08-14T21:36:22.2169516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2169574Z x = self.blocks(x) 2025-08-14T21:36:22.2169796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2169859Z x = self.conv_pw(x) 2025-08-14T21:36:22.2170059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2170131Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2170135Z 2025-08-14T21:36:22.2170231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2170422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2170492Z return mod(*inputs) 2025-08-14T21:36:22.2170693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2170769Z x = self.forward_features(x) 2025-08-14T21:36:22.2170991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2171051Z x = self.blocks(x) 2025-08-14T21:36:22.2171277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2171337Z x = self.bn1(x) 2025-08-14T21:36:22.2171529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.2171597Z x = F.batch_norm( 2025-08-14T21:36:22.2171600Z 2025-08-14T21:36:22.2171700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2171893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2171955Z return mod(*inputs) 2025-08-14T21:36:22.2172154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2172228Z x = self.forward_features(x) 2025-08-14T21:36:22.2172452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2172556Z x = self.blocks(x) 2025-08-14T21:36:22.2172778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2172838Z x = self.bn1(x) 2025-08-14T21:36:22.2173034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2173094Z x = self.act(x) 2025-08-14T21:36:22.2173123Z 2025-08-14T21:36:22.2173200Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2173306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2173492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2173560Z return mod(*inputs) 2025-08-14T21:36:22.2173764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2173833Z x = self.forward_features(x) 2025-08-14T21:36:22.2174068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2174131Z x = self.blocks(x) 2025-08-14T21:36:22.2174352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2174422Z x = self.conv_dw(x) 2025-08-14T21:36:22.2174622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2174735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2174955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2175052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2175055Z 2025-08-14T21:36:22.2175160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2175352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2175413Z return mod(*inputs) 2025-08-14T21:36:22.2175629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2175696Z x = self.forward_features(x) 2025-08-14T21:36:22.2175924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2175987Z x = self.blocks(x) 2025-08-14T21:36:22.2176382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2176460Z x = self.conv_dw(x) 2025-08-14T21:36:22.2176669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2176778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2177022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2177130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2177134Z 2025-08-14T21:36:22.2177237Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2177336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2177524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2177599Z return mod(*inputs) 2025-08-14T21:36:22.2177801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2177877Z x = self.forward_features(x) 2025-08-14T21:36:22.2178098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2178158Z x = self.blocks(x) 2025-08-14T21:36:22.2178380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2178478Z x = self.conv_dw(x) 2025-08-14T21:36:22.2178678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2178784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2178990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2179123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2179126Z 2025-08-14T21:36:22.2179223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2179409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2179477Z return mod(*inputs) 2025-08-14T21:36:22.2179680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2179746Z x = self.forward_features(x) 2025-08-14T21:36:22.2179978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2180037Z x = self.blocks(x) 2025-08-14T21:36:22.2180259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2180318Z x = self.conv_dw(x) 2025-08-14T21:36:22.2180515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2180618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2180819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2180913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2180922Z 2025-08-14T21:36:22.2180997Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2181093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2181290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2181351Z return mod(*inputs) 2025-08-14T21:36:22.2181550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2181625Z x = self.forward_features(x) 2025-08-14T21:36:22.2181852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2181918Z x = self.blocks(x) 2025-08-14T21:36:22.2182133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2182193Z x = self.conv_dw(x) 2025-08-14T21:36:22.2182394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2182490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2182696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2182800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2182803Z 2025-08-14T21:36:22.2182899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2183092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2183156Z return mod(*inputs) 2025-08-14T21:36:22.2183355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2183430Z x = self.forward_features(x) 2025-08-14T21:36:22.2183651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2183711Z x = self.blocks(x) 2025-08-14T21:36:22.2183962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2184025Z x = self.conv_dw(x) 2025-08-14T21:36:22.2184229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2184325Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2184529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2184663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2184667Z 2025-08-14T21:36:22.2184743Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2184848Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2185036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2185098Z return mod(*inputs) 2025-08-14T21:36:22.2185309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2185376Z x = self.forward_features(x) 2025-08-14T21:36:22.2185597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2185665Z x = self.blocks(x) 2025-08-14T21:36:22.2185878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2185947Z x = self.conv_dw(x) 2025-08-14T21:36:22.2186140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2186235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2186445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2186540Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2186543Z 2025-08-14T21:36:22.2186642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2186834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2186895Z return mod(*inputs) 2025-08-14T21:36:22.2187101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2187172Z x = self.forward_features(x) 2025-08-14T21:36:22.2187404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2187470Z x = self.blocks(x) 2025-08-14T21:36:22.2187686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2187746Z x = self.conv_dw(x) 2025-08-14T21:36:22.2187947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2188043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2188256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2188351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2188354Z 2025-08-14T21:36:22.2188430Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2188514Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2188586Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2188661Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2188754Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2188939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2189000Z return mod(*inputs) 2025-08-14T21:36:22.2189200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2189295Z x = self.forward_features(x) 2025-08-14T21:36:22.2189530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2189590Z x = self.blocks(x) 2025-08-14T21:36:22.2189805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2189912Z x = self.conv_dw(x) 2025-08-14T21:36:22.2190111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2190182Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2190186Z 2025-08-14T21:36:22.2190260Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2190362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2190556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2190617Z return mod(*inputs) 2025-08-14T21:36:22.2190824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2190892Z x = self.forward_features(x) 2025-08-14T21:36:22.2191114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2191179Z x = self.blocks(x) 2025-08-14T21:36:22.2191394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2191455Z x = self.se(x) 2025-08-14T21:36:22.2191674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2191746Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2191749Z 2025-08-14T21:36:22.2191852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2192038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2192102Z return mod(*inputs) 2025-08-14T21:36:22.2192309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2192375Z x = self.forward_features(x) 2025-08-14T21:36:22.2192598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2192666Z x = self.blocks(x) 2025-08-14T21:36:22.2192881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2192944Z x = self.se(x) 2025-08-14T21:36:22.2193155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2193218Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2193221Z 2025-08-14T21:36:22.2193325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2193513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2193584Z return mod(*inputs) 2025-08-14T21:36:22.2193786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2193850Z x = self.forward_features(x) 2025-08-14T21:36:22.2194076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2194137Z x = self.blocks(x) 2025-08-14T21:36:22.2194343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2194407Z x = self.se(x) 2025-08-14T21:36:22.2194617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2194680Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2194692Z 2025-08-14T21:36:22.2194786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2194996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2195066Z return mod(*inputs) 2025-08-14T21:36:22.2195264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2195329Z x = self.forward_features(x) 2025-08-14T21:36:22.2195588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2195647Z x = self.blocks(x) 2025-08-14T21:36:22.2195866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2195923Z x = self.se(x) 2025-08-14T21:36:22.2196130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2196203Z return x * self.gate(x_se) 2025-08-14T21:36:22.2196206Z 2025-08-14T21:36:22.2196304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2196487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2196557Z return mod(*inputs) 2025-08-14T21:36:22.2196750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2196825Z x = self.forward_features(x) 2025-08-14T21:36:22.2197043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2197102Z x = self.blocks(x) 2025-08-14T21:36:22.2197322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2197378Z x = self.se(x) 2025-08-14T21:36:22.2197592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2197667Z return x * self.gate(x_se) 2025-08-14T21:36:22.2197670Z 2025-08-14T21:36:22.2197766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2197962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2198023Z return mod(*inputs) 2025-08-14T21:36:22.2198230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2198307Z x = self.forward_features(x) 2025-08-14T21:36:22.2198545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2198603Z x = self.blocks(x) 2025-08-14T21:36:22.2198837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2198893Z x = self.se(x) 2025-08-14T21:36:22.2199137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2199202Z return x * self.gate(x_se) 2025-08-14T21:36:22.2199205Z 2025-08-14T21:36:22.2199281Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2199385Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2199572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2199636Z return mod(*inputs) 2025-08-14T21:36:22.2199846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2199912Z x = self.forward_features(x) 2025-08-14T21:36:22.2200149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2200210Z x = self.blocks(x) 2025-08-14T21:36:22.2200433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2200539Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2200746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2200858Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2201068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2201209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2201212Z 2025-08-14T21:36:22.2201320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2201510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2201571Z return mod(*inputs) 2025-08-14T21:36:22.2201780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2201848Z x = self.forward_features(x) 2025-08-14T21:36:22.2202079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2202139Z x = self.blocks(x) 2025-08-14T21:36:22.2202350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2202420Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2202622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2202725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2202944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2203045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2203049Z 2025-08-14T21:36:22.2203132Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2203230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2203428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2203499Z return mod(*inputs) 2025-08-14T21:36:22.2203713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2203788Z x = self.forward_features(x) 2025-08-14T21:36:22.2204011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2204071Z x = self.blocks(x) 2025-08-14T21:36:22.2204289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2204353Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2204551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2204655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2204859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2204961Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2204965Z 2025-08-14T21:36:22.2205061Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2205255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2205326Z return mod(*inputs) 2025-08-14T21:36:22.2205526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2205594Z x = self.forward_features(x) 2025-08-14T21:36:22.2205820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2205878Z x = self.blocks(x) 2025-08-14T21:36:22.2206125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2206190Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2206386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2206491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2206696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2206823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2206833Z 2025-08-14T21:36:22.2206910Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2206984Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2207090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2207281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2207354Z return mod(*inputs) 2025-08-14T21:36:22.2207562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2207628Z x = self.forward_features(x) 2025-08-14T21:36:22.2207848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2207915Z x = self.blocks(x) 2025-08-14T21:36:22.2208135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2208211Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2208413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2208478Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2208481Z 2025-08-14T21:36:22.2208584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2208767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2208838Z return mod(*inputs) 2025-08-14T21:36:22.2209039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2209108Z x = self.forward_features(x) 2025-08-14T21:36:22.2209333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2209395Z x = self.blocks(x) 2025-08-14T21:36:22.2209609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2209688Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2209691Z 2025-08-14T21:36:22.2209787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2209979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2210039Z return mod(*inputs) 2025-08-14T21:36:22.2210245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2210320Z x = self.forward_features(x) 2025-08-14T21:36:22.2210547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2210605Z x = self.blocks(x) 2025-08-14T21:36:22.2210834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2210896Z x = self.bn1(x) 2025-08-14T21:36:22.2211097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2211155Z x = self.act(x) 2025-08-14T21:36:22.2211158Z 2025-08-14T21:36:22.2211257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2211461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2211523Z return mod(*inputs) 2025-08-14T21:36:22.2211998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2212084Z x = self.forward_features(x) 2025-08-14T21:36:22.2212315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2212382Z x = self.blocks(x) 2025-08-14T21:36:22.2212604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2212717Z x = self.bn1(x) 2025-08-14T21:36:22.2212926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2212986Z x = self.act(x) 2025-08-14T21:36:22.2212990Z 2025-08-14T21:36:22.2213099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2213297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2213365Z return mod(*inputs) 2025-08-14T21:36:22.2213590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2213660Z x = self.forward_features(x) 2025-08-14T21:36:22.2213896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2213966Z x = self.blocks(x) 2025-08-14T21:36:22.2214197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.2214266Z x = self.bn2(x) 2025-08-14T21:36:22.2214466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2214527Z x = self.act(x) 2025-08-14T21:36:22.2214530Z 2025-08-14T21:36:22.2214639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2214834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2214903Z return mod(*inputs) 2025-08-14T21:36:22.2215126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2215196Z x = self.forward_features(x) 2025-08-14T21:36:22.2215439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2215505Z x = self.blocks(x) 2025-08-14T21:36:22.2215740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:36:22.2215805Z x = self.bn2(x) 2025-08-14T21:36:22.2216000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2216058Z x = self.act(x) 2025-08-14T21:36:22.2216062Z 2025-08-14T21:36:22.2216147Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2216293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2216502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2216565Z return mod(*inputs) 2025-08-14T21:36:22.2216774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2216851Z x = self.forward_features(x) 2025-08-14T21:36:22.2217097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2217166Z x = self.blocks(x) 2025-08-14T21:36:22.2217410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2217475Z x = self.se(x) 2025-08-14T21:36:22.2217714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2217788Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2217792Z 2025-08-14T21:36:22.2217924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2218128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2218193Z return mod(*inputs) 2025-08-14T21:36:22.2218401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2218508Z x = self.forward_features(x) 2025-08-14T21:36:22.2218738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2218805Z x = self.blocks(x) 2025-08-14T21:36:22.2219027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2219085Z x = self.se(x) 2025-08-14T21:36:22.2219310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2219380Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2219384Z 2025-08-14T21:36:22.2219490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2219681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2219745Z return mod(*inputs) 2025-08-14T21:36:22.2219962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2220032Z x = self.forward_features(x) 2025-08-14T21:36:22.2220261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2220330Z x = self.blocks(x) 2025-08-14T21:36:22.2220553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2220620Z x = self.se(x) 2025-08-14T21:36:22.2220847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2220913Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2220916Z 2025-08-14T21:36:22.2221022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2221216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2221280Z return mod(*inputs) 2025-08-14T21:36:22.2221496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2221565Z x = self.forward_features(x) 2025-08-14T21:36:22.2221802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2221864Z x = self.blocks(x) 2025-08-14T21:36:22.2222085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2222152Z x = self.se(x) 2025-08-14T21:36:22.2222375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2222444Z return x * self.gate(x_se) 2025-08-14T21:36:22.2222447Z 2025-08-14T21:36:22.2222554Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2222747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2222821Z return mod(*inputs) 2025-08-14T21:36:22.2223026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2223094Z x = self.forward_features(x) 2025-08-14T21:36:22.2223329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2223390Z x = self.blocks(x) 2025-08-14T21:36:22.2223612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2223710Z x = self.se(x) 2025-08-14T21:36:22.2223938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2224012Z return x * self.gate(x_se) 2025-08-14T21:36:22.2224015Z 2025-08-14T21:36:22.2224114Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2224308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2224410Z return mod(*inputs) 2025-08-14T21:36:22.2224619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2224693Z x = self.forward_features(x) 2025-08-14T21:36:22.2224928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2224990Z x = self.blocks(x) 2025-08-14T21:36:22.2225224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2225282Z x = self.se(x) 2025-08-14T21:36:22.2225502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2225578Z return x * self.gate(x_se) 2025-08-14T21:36:22.2225581Z 2025-08-14T21:36:22.2225680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2225884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2225947Z return mod(*inputs) 2025-08-14T21:36:22.2226155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2226229Z x = self.forward_features(x) 2025-08-14T21:36:22.2226465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2226526Z x = self.blocks(x) 2025-08-14T21:36:22.2226757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2226821Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2226825Z 2025-08-14T21:36:22.2226931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2227122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2227187Z return mod(*inputs) 2025-08-14T21:36:22.2227402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2227468Z x = self.forward_features(x) 2025-08-14T21:36:22.2227708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2227775Z x = self.blocks(x) 2025-08-14T21:36:22.2227990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2228062Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2228065Z 2025-08-14T21:36:22.2228162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2228349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2228418Z return mod(*inputs) 2025-08-14T21:36:22.2228623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2228692Z x = self.forward_features(x) 2025-08-14T21:36:22.2228922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2228981Z x = self.blocks(x) 2025-08-14T21:36:22.2229209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2229269Z x = self.conv_pw(x) 2025-08-14T21:36:22.2229493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2229606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2229806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2229911Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2229942Z 2025-08-14T21:36:22.2230041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2230231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2230301Z return mod(*inputs) 2025-08-14T21:36:22.2230507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2230575Z x = self.forward_features(x) 2025-08-14T21:36:22.2230824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2230887Z x = self.blocks(x) 2025-08-14T21:36:22.2231115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2231177Z x = self.conv_pw(x) 2025-08-14T21:36:22.2231388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2231495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2231700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2231797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2231808Z 2025-08-14T21:36:22.2231907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2232092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2232159Z return mod(*inputs) 2025-08-14T21:36:22.2232363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2232430Z x = self.forward_features(x) 2025-08-14T21:36:22.2232656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2232715Z x = self.blocks(x) 2025-08-14T21:36:22.2232938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2232998Z x = self.conv_pw(x) 2025-08-14T21:36:22.2233195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2233300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2233510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2233609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2233612Z 2025-08-14T21:36:22.2233719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2233906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2233975Z return mod(*inputs) 2025-08-14T21:36:22.2234177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2234246Z x = self.forward_features(x) 2025-08-14T21:36:22.2234478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2234537Z x = self.blocks(x) 2025-08-14T21:36:22.2234751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2234822Z x = self.conv_pw(x) 2025-08-14T21:36:22.2235056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2235165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2235373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2235472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2235475Z 2025-08-14T21:36:22.2235592Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2235669Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2235776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2235968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2236032Z return mod(*inputs) 2025-08-14T21:36:22.2236244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2236314Z x = self.forward_features(x) 2025-08-14T21:36:22.2236543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2236613Z x = self.blocks(x) 2025-08-14T21:36:22.2236831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2236901Z x = self.conv_pw(x) 2025-08-14T21:36:22.2237101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2237171Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2237174Z 2025-08-14T21:36:22.2237280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2237470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2237536Z return mod(*inputs) 2025-08-14T21:36:22.2237747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2237818Z x = self.forward_features(x) 2025-08-14T21:36:22.2238052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2238113Z x = self.blocks(x) 2025-08-14T21:36:22.2238330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2238401Z x = self.bn1(x) 2025-08-14T21:36:22.2238593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.2238654Z x = F.batch_norm( 2025-08-14T21:36:22.2238658Z 2025-08-14T21:36:22.2238762Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2238948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2239020Z return mod(*inputs) 2025-08-14T21:36:22.2239226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2239301Z x = self.forward_features(x) 2025-08-14T21:36:22.2239539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2239604Z x = self.blocks(x) 2025-08-14T21:36:22.2239830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2239903Z x = self.bn1(x) 2025-08-14T21:36:22.2240107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2240177Z x = self.act(x) 2025-08-14T21:36:22.2240181Z 2025-08-14T21:36:22.2240263Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2240367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2240571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2240637Z return mod(*inputs) 2025-08-14T21:36:22.2240892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2240971Z x = self.forward_features(x) 2025-08-14T21:36:22.2241200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2241269Z x = self.blocks(x) 2025-08-14T21:36:22.2241521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2241582Z x = self.conv_dw(x) 2025-08-14T21:36:22.2241792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2241895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2242118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2242226Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2242230Z 2025-08-14T21:36:22.2242326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2242518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2242578Z return mod(*inputs) 2025-08-14T21:36:22.2242779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2242855Z x = self.forward_features(x) 2025-08-14T21:36:22.2243077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2243144Z x = self.blocks(x) 2025-08-14T21:36:22.2243361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2243421Z x = self.conv_dw(x) 2025-08-14T21:36:22.2243631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2243729Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2243948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2244051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2244056Z 2025-08-14T21:36:22.2244132Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2244235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2244422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2244485Z return mod(*inputs) 2025-08-14T21:36:22.2244698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2244766Z x = self.forward_features(x) 2025-08-14T21:36:22.2244995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2245063Z x = self.blocks(x) 2025-08-14T21:36:22.2245282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2245350Z x = self.conv_dw(x) 2025-08-14T21:36:22.2245552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2245654Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2245870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2245967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2245971Z 2025-08-14T21:36:22.2246077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2246268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2246359Z return mod(*inputs) 2025-08-14T21:36:22.2246576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2246645Z x = self.forward_features(x) 2025-08-14T21:36:22.2246872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2246971Z x = self.blocks(x) 2025-08-14T21:36:22.2247194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2247262Z x = self.conv_dw(x) 2025-08-14T21:36:22.2247465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2247565Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2247785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2247886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2247889Z 2025-08-14T21:36:22.2247967Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2248074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2248268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2248341Z return mod(*inputs) 2025-08-14T21:36:22.2248549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2248617Z x = self.forward_features(x) 2025-08-14T21:36:22.2248856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2248918Z x = self.blocks(x) 2025-08-14T21:36:22.2249143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2249214Z x = self.conv_dw(x) 2025-08-14T21:36:22.2249418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2249525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2249738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2249842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2249846Z 2025-08-14T21:36:22.2249958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2250156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2250233Z return mod(*inputs) 2025-08-14T21:36:22.2250448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2250517Z x = self.forward_features(x) 2025-08-14T21:36:22.2250764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2250824Z x = self.blocks(x) 2025-08-14T21:36:22.2251052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2251124Z x = self.conv_dw(x) 2025-08-14T21:36:22.2251331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2251443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2251659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2251762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2251765Z 2025-08-14T21:36:22.2251853Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2251956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2252182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2252257Z return mod(*inputs) 2025-08-14T21:36:22.2252468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2252546Z x = self.forward_features(x) 2025-08-14T21:36:22.2252780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2252877Z x = self.blocks(x) 2025-08-14T21:36:22.2253111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2253175Z x = self.conv_dw(x) 2025-08-14T21:36:22.2253382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2253492Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2253710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2253821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2253825Z 2025-08-14T21:36:22.2253927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2254126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2254207Z return mod(*inputs) 2025-08-14T21:36:22.2254432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2254513Z x = self.forward_features(x) 2025-08-14T21:36:22.2254769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2254832Z x = self.blocks(x) 2025-08-14T21:36:22.2255066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2255130Z x = self.conv_dw(x) 2025-08-14T21:36:22.2255337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2255444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2255662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2255774Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2255777Z 2025-08-14T21:36:22.2255856Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2255934Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2256020Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2256095Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2256259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2256479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2256548Z return mod(*inputs) 2025-08-14T21:36:22.2256776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2256850Z x = self.forward_features(x) 2025-08-14T21:36:22.2257100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2257175Z x = self.blocks(x) 2025-08-14T21:36:22.2257425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2257489Z x = self.conv_dw(x) 2025-08-14T21:36:22.2257704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2257772Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2257775Z 2025-08-14T21:36:22.2257862Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2258039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2258236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2258308Z return mod(*inputs) 2025-08-14T21:36:22.2258520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2258590Z x = self.forward_features(x) 2025-08-14T21:36:22.2258867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2258927Z x = self.blocks(x) 2025-08-14T21:36:22.2259154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2259214Z x = self.se(x) 2025-08-14T21:36:22.2259434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2259516Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2259522Z 2025-08-14T21:36:22.2259622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2259820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2259890Z return mod(*inputs) 2025-08-14T21:36:22.2260116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2260204Z x = self.forward_features(x) 2025-08-14T21:36:22.2260453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2260529Z x = self.blocks(x) 2025-08-14T21:36:22.2260766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2260826Z x = self.se(x) 2025-08-14T21:36:22.2261057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2261123Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2261127Z 2025-08-14T21:36:22.2261229Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2261431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2261496Z return mod(*inputs) 2025-08-14T21:36:22.2261709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2261790Z x = self.forward_features(x) 2025-08-14T21:36:22.2262029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2262098Z x = self.blocks(x) 2025-08-14T21:36:22.2262319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2262380Z x = self.se(x) 2025-08-14T21:36:22.2262611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2262679Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2262682Z 2025-08-14T21:36:22.2262784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2262989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2263057Z return mod(*inputs) 2025-08-14T21:36:22.2263273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2263343Z x = self.forward_features(x) 2025-08-14T21:36:22.2263576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2263647Z x = self.blocks(x) 2025-08-14T21:36:22.2263870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2263928Z x = self.se(x) 2025-08-14T21:36:22.2264192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2264263Z return x * self.gate(x_se) 2025-08-14T21:36:22.2264267Z 2025-08-14T21:36:22.2264378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2264575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2264670Z return mod(*inputs) 2025-08-14T21:36:22.2264898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2264965Z x = self.forward_features(x) 2025-08-14T21:36:22.2265205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2265268Z x = self.blocks(x) 2025-08-14T21:36:22.2265494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2265564Z x = self.se(x) 2025-08-14T21:36:22.2265792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2265860Z return x * self.gate(x_se) 2025-08-14T21:36:22.2265864Z 2025-08-14T21:36:22.2265973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2266174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2266245Z return mod(*inputs) 2025-08-14T21:36:22.2266458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2266528Z x = self.forward_features(x) 2025-08-14T21:36:22.2266773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2266834Z x = self.blocks(x) 2025-08-14T21:36:22.2267063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2267148Z x = self.se(x) 2025-08-14T21:36:22.2267374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2267451Z return x * self.gate(x_se) 2025-08-14T21:36:22.2267455Z 2025-08-14T21:36:22.2267537Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2267639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2267844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2267908Z return mod(*inputs) 2025-08-14T21:36:22.2268120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2268198Z x = self.forward_features(x) 2025-08-14T21:36:22.2268437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2268502Z x = self.blocks(x) 2025-08-14T21:36:22.2268730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2268797Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2269019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2269127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2269342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2269451Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2269454Z 2025-08-14T21:36:22.2269555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2269755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2269819Z return mod(*inputs) 2025-08-14T21:36:22.2270063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2270144Z x = self.forward_features(x) 2025-08-14T21:36:22.2270376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2270446Z x = self.blocks(x) 2025-08-14T21:36:22.2270727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2270794Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2271006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2271107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2271322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2271434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2271437Z 2025-08-14T21:36:22.2271516Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2271625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2271821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2271889Z return mod(*inputs) 2025-08-14T21:36:22.2272105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2272174Z x = self.forward_features(x) 2025-08-14T21:36:22.2272408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2272476Z x = self.blocks(x) 2025-08-14T21:36:22.2272699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2272772Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2272982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2273084Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2273306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2273411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2273414Z 2025-08-14T21:36:22.2273524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2273721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2273786Z return mod(*inputs) 2025-08-14T21:36:22.2274010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2274078Z x = self.forward_features(x) 2025-08-14T21:36:22.2274306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2274374Z x = self.blocks(x) 2025-08-14T21:36:22.2274593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2274665Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2274865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2274965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2275178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2275275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2275279Z 2025-08-14T21:36:22.2275357Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2275438Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2275570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2275773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2275836Z return mod(*inputs) 2025-08-14T21:36:22.2276044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2276120Z x = self.forward_features(x) 2025-08-14T21:36:22.2276383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2276446Z x = self.blocks(x) 2025-08-14T21:36:22.2276677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2276743Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2276949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2277017Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2277020Z 2025-08-14T21:36:22.2277122Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2277318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2277380Z return mod(*inputs) 2025-08-14T21:36:22.2277583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2277661Z x = self.forward_features(x) 2025-08-14T21:36:22.2277887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2277955Z x = self.blocks(x) 2025-08-14T21:36:22.2278175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2278247Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2278251Z 2025-08-14T21:36:22.2278358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2278549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2278619Z return mod(*inputs) 2025-08-14T21:36:22.2278822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2278889Z x = self.forward_features(x) 2025-08-14T21:36:22.2279122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2279185Z x = self.blocks(x) 2025-08-14T21:36:22.2279404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2279475Z x = self.conv_pw(x) 2025-08-14T21:36:22.2279675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2279782Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2279994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2280097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2280101Z 2025-08-14T21:36:22.2280210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2280402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2280470Z return mod(*inputs) 2025-08-14T21:36:22.2280690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2280760Z x = self.forward_features(x) 2025-08-14T21:36:22.2280999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2281062Z x = self.blocks(x) 2025-08-14T21:36:22.2281297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2281399Z x = self.conv_pw(x) 2025-08-14T21:36:22.2281603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2281703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2281919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2282047Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2282050Z 2025-08-14T21:36:22.2282156Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2282348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2282411Z return mod(*inputs) 2025-08-14T21:36:22.2282633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2282700Z x = self.forward_features(x) 2025-08-14T21:36:22.2282936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2282998Z x = self.blocks(x) 2025-08-14T21:36:22.2283221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2283291Z x = self.conv_pw(x) 2025-08-14T21:36:22.2283494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2283592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2283810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2283907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2283910Z 2025-08-14T21:36:22.2284014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2284209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2284271Z return mod(*inputs) 2025-08-14T21:36:22.2284485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2284555Z x = self.forward_features(x) 2025-08-14T21:36:22.2284783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2284853Z x = self.blocks(x) 2025-08-14T21:36:22.2285076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2285145Z x = self.conv_pw(x) 2025-08-14T21:36:22.2285346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2285444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2285666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2285765Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2285768Z 2025-08-14T21:36:22.2285852Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2285926Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2286026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2286227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2286290Z return mod(*inputs) 2025-08-14T21:36:22.2286498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2286576Z x = self.forward_features(x) 2025-08-14T21:36:22.2286805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2286874Z x = self.blocks(x) 2025-08-14T21:36:22.2287127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2287193Z x = self.conv_pw(x) 2025-08-14T21:36:22.2287401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2287467Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2287498Z 2025-08-14T21:36:22.2287609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2287797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2287856Z return mod(*inputs) 2025-08-14T21:36:22.2288055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2288120Z x = self.forward_features(x) 2025-08-14T21:36:22.2288333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2288403Z x = self.blocks(x) 2025-08-14T21:36:22.2288615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2288673Z x = self.bn1(x) 2025-08-14T21:36:22.2288871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.2288934Z x = F.batch_norm( 2025-08-14T21:36:22.2288937Z 2025-08-14T21:36:22.2289041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2289226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2289288Z return mod(*inputs) 2025-08-14T21:36:22.2289499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2289567Z x = self.forward_features(x) 2025-08-14T21:36:22.2289795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2289863Z x = self.blocks(x) 2025-08-14T21:36:22.2290089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2290156Z x = self.bn1(x) 2025-08-14T21:36:22.2290350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2290412Z x = self.act(x) 2025-08-14T21:36:22.2290416Z 2025-08-14T21:36:22.2290500Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2290598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2290788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2290858Z return mod(*inputs) 2025-08-14T21:36:22.2291068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2291146Z x = self.forward_features(x) 2025-08-14T21:36:22.2291378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2291441Z x = self.blocks(x) 2025-08-14T21:36:22.2291672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2291734Z x = self.conv_dw(x) 2025-08-14T21:36:22.2291959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2292068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2292295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2292414Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2292418Z 2025-08-14T21:36:22.2292525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2292770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2292850Z return mod(*inputs) 2025-08-14T21:36:22.2293075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2293156Z x = self.forward_features(x) 2025-08-14T21:36:22.2293403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2293498Z x = self.blocks(x) 2025-08-14T21:36:22.2293742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2293806Z x = self.conv_dw(x) 2025-08-14T21:36:22.2294012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2294121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2294337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2294447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2294450Z 2025-08-14T21:36:22.2294529Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2294631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2294840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2294905Z return mod(*inputs) 2025-08-14T21:36:22.2295117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2295195Z x = self.forward_features(x) 2025-08-14T21:36:22.2295427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2295496Z x = self.blocks(x) 2025-08-14T21:36:22.2295731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2295795Z x = self.conv_dw(x) 2025-08-14T21:36:22.2296007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2296107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2296418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2296538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2296541Z 2025-08-14T21:36:22.2296650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2296868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2296937Z return mod(*inputs) 2025-08-14T21:36:22.2297162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2297259Z x = self.forward_features(x) 2025-08-14T21:36:22.2297494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2297565Z x = self.blocks(x) 2025-08-14T21:36:22.2297791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2297858Z x = self.conv_dw(x) 2025-08-14T21:36:22.2298072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2298174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2298388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2298497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2298500Z 2025-08-14T21:36:22.2298589Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2298728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2298916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2298978Z return mod(*inputs) 2025-08-14T21:36:22.2299184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2299291Z x = self.forward_features(x) 2025-08-14T21:36:22.2299528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2299589Z x = self.blocks(x) 2025-08-14T21:36:22.2299812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2299883Z x = self.conv_dw(x) 2025-08-14T21:36:22.2300098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2300204Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2300428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2300529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2300532Z 2025-08-14T21:36:22.2300642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2300842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2300908Z return mod(*inputs) 2025-08-14T21:36:22.2301130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2301202Z x = self.forward_features(x) 2025-08-14T21:36:22.2301440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2301512Z x = self.blocks(x) 2025-08-14T21:36:22.2301743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2301816Z x = self.conv_dw(x) 2025-08-14T21:36:22.2302022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2302126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2302358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2302456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2302459Z 2025-08-14T21:36:22.2302543Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2302644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2302837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2302908Z return mod(*inputs) 2025-08-14T21:36:22.2303119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2303193Z x = self.forward_features(x) 2025-08-14T21:36:22.2303429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2303490Z x = self.blocks(x) 2025-08-14T21:36:22.2303721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2303783Z x = self.conv_dw(x) 2025-08-14T21:36:22.2303995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2304101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2304312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2304445Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2304448Z 2025-08-14T21:36:22.2304559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2304759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2304831Z return mod(*inputs) 2025-08-14T21:36:22.2305037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2305134Z x = self.forward_features(x) 2025-08-14T21:36:22.2305385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2305447Z x = self.blocks(x) 2025-08-14T21:36:22.2305669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2305737Z x = self.conv_dw(x) 2025-08-14T21:36:22.2305984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2306097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2306309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2306407Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2306412Z 2025-08-14T21:36:22.2306499Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2306576Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2306653Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2306736Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2306837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2307042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2307104Z return mod(*inputs) 2025-08-14T21:36:22.2307317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2307391Z x = self.forward_features(x) 2025-08-14T21:36:22.2307627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2307688Z x = self.blocks(x) 2025-08-14T21:36:22.2307925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2307990Z x = self.conv_dw(x) 2025-08-14T21:36:22.2308198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2308261Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2308264Z 2025-08-14T21:36:22.2308340Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2308446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2308635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2308700Z return mod(*inputs) 2025-08-14T21:36:22.2308914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2308980Z x = self.forward_features(x) 2025-08-14T21:36:22.2309218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2309281Z x = self.blocks(x) 2025-08-14T21:36:22.2309504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2309569Z x = self.se(x) 2025-08-14T21:36:22.2309791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2309870Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2309873Z 2025-08-14T21:36:22.2309972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2310194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2310265Z return mod(*inputs) 2025-08-14T21:36:22.2310473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2310540Z x = self.forward_features(x) 2025-08-14T21:36:22.2310772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2310862Z x = self.blocks(x) 2025-08-14T21:36:22.2311088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2311147Z x = self.se(x) 2025-08-14T21:36:22.2311365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2311439Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2311443Z 2025-08-14T21:36:22.2311545Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2311907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2311983Z return mod(*inputs) 2025-08-14T21:36:22.2312196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2312275Z x = self.forward_features(x) 2025-08-14T21:36:22.2312515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2312580Z x = self.blocks(x) 2025-08-14T21:36:22.2312821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2312881Z x = self.se(x) 2025-08-14T21:36:22.2313098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2313172Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2313175Z 2025-08-14T21:36:22.2313274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2313473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2313536Z return mod(*inputs) 2025-08-14T21:36:22.2313740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2313816Z x = self.forward_features(x) 2025-08-14T21:36:22.2314045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2314106Z x = self.blocks(x) 2025-08-14T21:36:22.2314334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2314394Z x = self.se(x) 2025-08-14T21:36:22.2314619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2314687Z return x * self.gate(x_se) 2025-08-14T21:36:22.2314690Z 2025-08-14T21:36:22.2314786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2314987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2315051Z return mod(*inputs) 2025-08-14T21:36:22.2315264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2315334Z x = self.forward_features(x) 2025-08-14T21:36:22.2315561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2315628Z x = self.blocks(x) 2025-08-14T21:36:22.2315847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2315905Z x = self.se(x) 2025-08-14T21:36:22.2316190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2316261Z return x * self.gate(x_se) 2025-08-14T21:36:22.2316265Z 2025-08-14T21:36:22.2316373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2316565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2316627Z return mod(*inputs) 2025-08-14T21:36:22.2316883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2316950Z x = self.forward_features(x) 2025-08-14T21:36:22.2317177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2317249Z x = self.blocks(x) 2025-08-14T21:36:22.2317469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2317537Z x = self.se(x) 2025-08-14T21:36:22.2317758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2317824Z return x * self.gate(x_se) 2025-08-14T21:36:22.2317827Z 2025-08-14T21:36:22.2317910Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2318010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2318202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2318276Z return mod(*inputs) 2025-08-14T21:36:22.2318481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2318557Z x = self.forward_features(x) 2025-08-14T21:36:22.2318783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2318844Z x = self.blocks(x) 2025-08-14T21:36:22.2319070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2319136Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2319338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2319444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2319662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2319774Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2319778Z 2025-08-14T21:36:22.2319877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2320075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2320146Z return mod(*inputs) 2025-08-14T21:36:22.2320360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2320437Z x = self.forward_features(x) 2025-08-14T21:36:22.2320656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2320715Z x = self.blocks(x) 2025-08-14T21:36:22.2320931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2320998Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2321200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2321307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2321515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2321622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2321625Z 2025-08-14T21:36:22.2321704Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2321840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2322046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2322110Z return mod(*inputs) 2025-08-14T21:36:22.2322322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2322429Z x = self.forward_features(x) 2025-08-14T21:36:22.2322668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2322736Z x = self.blocks(x) 2025-08-14T21:36:22.2322977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2323040Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2323252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2323357Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2323582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2323676Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2323679Z 2025-08-14T21:36:22.2323775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2323972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2324034Z return mod(*inputs) 2025-08-14T21:36:22.2324235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2324308Z x = self.forward_features(x) 2025-08-14T21:36:22.2324535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2324602Z x = self.blocks(x) 2025-08-14T21:36:22.2324820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2324883Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2325087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2325184Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2325395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2325500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2325503Z 2025-08-14T21:36:22.2325578Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2325660Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2325758Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2325949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2326020Z return mod(*inputs) 2025-08-14T21:36:22.2326223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2326290Z x = self.forward_features(x) 2025-08-14T21:36:22.2326521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2326584Z x = self.blocks(x) 2025-08-14T21:36:22.2326812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2326876Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2327073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2327146Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2327149Z 2025-08-14T21:36:22.2327247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2327476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2327542Z return mod(*inputs) 2025-08-14T21:36:22.2327747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2327822Z x = self.forward_features(x) 2025-08-14T21:36:22.2328042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2328132Z x = self.blocks(x) 2025-08-14T21:36:22.2328362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2328435Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2328439Z 2025-08-14T21:36:22.2328543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2328735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2328797Z return mod(*inputs) 2025-08-14T21:36:22.2329011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2329078Z x = self.forward_features(x) 2025-08-14T21:36:22.2329303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2329371Z x = self.blocks(x) 2025-08-14T21:36:22.2329590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2329658Z x = self.conv_pw(x) 2025-08-14T21:36:22.2329859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2329956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2330177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2330280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2330283Z 2025-08-14T21:36:22.2330383Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2330587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2330649Z return mod(*inputs) 2025-08-14T21:36:22.2330864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2330935Z x = self.forward_features(x) 2025-08-14T21:36:22.2331169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2331240Z x = self.blocks(x) 2025-08-14T21:36:22.2331469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2331541Z x = self.conv_pw(x) 2025-08-14T21:36:22.2331754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2331857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2332083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2332186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2332189Z 2025-08-14T21:36:22.2332295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2332509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2332576Z return mod(*inputs) 2025-08-14T21:36:22.2332806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2332879Z x = self.forward_features(x) 2025-08-14T21:36:22.2333126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2333228Z x = self.blocks(x) 2025-08-14T21:36:22.2333469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2333537Z x = self.conv_pw(x) 2025-08-14T21:36:22.2333763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2333902Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2334136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2334243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2334247Z 2025-08-14T21:36:22.2334363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2334567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2334630Z return mod(*inputs) 2025-08-14T21:36:22.2334850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2334920Z x = self.forward_features(x) 2025-08-14T21:36:22.2335155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2335224Z x = self.blocks(x) 2025-08-14T21:36:22.2335450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2335517Z x = self.conv_pw(x) 2025-08-14T21:36:22.2335743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2335849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2336084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2336257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2336267Z 2025-08-14T21:36:22.2336354Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2336443Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2336547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2336745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2336826Z return mod(*inputs) 2025-08-14T21:36:22.2337052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2337136Z x = self.forward_features(x) 2025-08-14T21:36:22.2337390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2337458Z x = self.blocks(x) 2025-08-14T21:36:22.2337710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:36:22.2337777Z x = self.conv_pw(x) 2025-08-14T21:36:22.2338001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2338081Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2338084Z 2025-08-14T21:36:22.2338194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2338410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2338482Z return mod(*inputs) 2025-08-14T21:36:22.2338706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2338790Z x = self.forward_features(x) 2025-08-14T21:36:22.2339040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2339108Z x = self.blocks(x) 2025-08-14T21:36:22.2339392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2339460Z x = self.bn1(x) 2025-08-14T21:36:22.2339684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:36:22.2339750Z x = F.batch_norm( 2025-08-14T21:36:22.2339754Z 2025-08-14T21:36:22.2339863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2340111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2340179Z return mod(*inputs) 2025-08-14T21:36:22.2340403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2340484Z x = self.forward_features(x) 2025-08-14T21:36:22.2340738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2340812Z x = self.blocks(x) 2025-08-14T21:36:22.2341056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2341123Z x = self.bn1(x) 2025-08-14T21:36:22.2341345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2341411Z x = self.act(x) 2025-08-14T21:36:22.2341414Z 2025-08-14T21:36:22.2341502Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2341611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2341819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2341893Z return mod(*inputs) 2025-08-14T21:36:22.2342112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2342184Z x = self.forward_features(x) 2025-08-14T21:36:22.2342439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2342506Z x = self.blocks(x) 2025-08-14T21:36:22.2342749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2342816Z x = self.conv_dw(x) 2025-08-14T21:36:22.2343035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2343155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2343381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2343490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2343493Z 2025-08-14T21:36:22.2343607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2343814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2343889Z return mod(*inputs) 2025-08-14T21:36:22.2344119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2344194Z x = self.forward_features(x) 2025-08-14T21:36:22.2344446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2344515Z x = self.blocks(x) 2025-08-14T21:36:22.2344756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2344831Z x = self.conv_dw(x) 2025-08-14T21:36:22.2345051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2345157Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2345369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2345507Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2345511Z 2025-08-14T21:36:22.2345598Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2345695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2345894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2345957Z return mod(*inputs) 2025-08-14T21:36:22.2346194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2346272Z x = self.forward_features(x) 2025-08-14T21:36:22.2346501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2346564Z x = self.blocks(x) 2025-08-14T21:36:22.2346794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2346855Z x = self.conv_dw(x) 2025-08-14T21:36:22.2347069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2347169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2347379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2347483Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2347489Z 2025-08-14T21:36:22.2347588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2347781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2347851Z return mod(*inputs) 2025-08-14T21:36:22.2348059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2348136Z x = self.forward_features(x) 2025-08-14T21:36:22.2348365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2348427Z x = self.blocks(x) 2025-08-14T21:36:22.2348657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2348718Z x = self.conv_dw(x) 2025-08-14T21:36:22.2348924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2349034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2349245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2349349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2349353Z 2025-08-14T21:36:22.2349429Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2349528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2349727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2349788Z return mod(*inputs) 2025-08-14T21:36:22.2350002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2350070Z x = self.forward_features(x) 2025-08-14T21:36:22.2350299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2350369Z x = self.blocks(x) 2025-08-14T21:36:22.2350588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2350648Z x = self.conv_dw(x) 2025-08-14T21:36:22.2350857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2350954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2351219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2351321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2351325Z 2025-08-14T21:36:22.2351426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2351628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2351722Z return mod(*inputs) 2025-08-14T21:36:22.2351931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2352006Z x = self.forward_features(x) 2025-08-14T21:36:22.2352242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2352309Z x = self.blocks(x) 2025-08-14T21:36:22.2352535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2352596Z x = self.conv_dw(x) 2025-08-14T21:36:22.2352808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2352910Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2353130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2353231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2353234Z 2025-08-14T21:36:22.2353311Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2353418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2353614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2353679Z return mod(*inputs) 2025-08-14T21:36:22.2353898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2353969Z x = self.forward_features(x) 2025-08-14T21:36:22.2354213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2354274Z x = self.blocks(x) 2025-08-14T21:36:22.2354501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2354573Z x = self.conv_dw(x) 2025-08-14T21:36:22.2354780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2354878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2355102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2355199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2355202Z 2025-08-14T21:36:22.2355307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2355506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2355569Z return mod(*inputs) 2025-08-14T21:36:22.2355785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2355855Z x = self.forward_features(x) 2025-08-14T21:36:22.2356086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2356156Z x = self.blocks(x) 2025-08-14T21:36:22.2356382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2356456Z x = self.conv_dw(x) 2025-08-14T21:36:22.2356661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2356760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2357013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2357113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2357116Z 2025-08-14T21:36:22.2357200Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2357277Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2357352Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2357463Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2357562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2357754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2357827Z return mod(*inputs) 2025-08-14T21:36:22.2358037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2358113Z x = self.forward_features(x) 2025-08-14T21:36:22.2358342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2358403Z x = self.blocks(x) 2025-08-14T21:36:22.2358630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2358691Z x = self.conv_dw(x) 2025-08-14T21:36:22.2358901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2358974Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2358978Z 2025-08-14T21:36:22.2359049Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2359150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2359336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2359398Z return mod(*inputs) 2025-08-14T21:36:22.2359606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2359675Z x = self.forward_features(x) 2025-08-14T21:36:22.2359896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2359964Z x = self.blocks(x) 2025-08-14T21:36:22.2360181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2360247Z x = self.se(x) 2025-08-14T21:36:22.2360468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2360541Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2360544Z 2025-08-14T21:36:22.2360652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2360850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2360913Z return mod(*inputs) 2025-08-14T21:36:22.2361123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2361190Z x = self.forward_features(x) 2025-08-14T21:36:22.2361419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2361479Z x = self.blocks(x) 2025-08-14T21:36:22.2361696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2361766Z x = self.se(x) 2025-08-14T21:36:22.2361984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2362049Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2362053Z 2025-08-14T21:36:22.2362159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2362351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2362421Z return mod(*inputs) 2025-08-14T21:36:22.2362655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2362725Z x = self.forward_features(x) 2025-08-14T21:36:22.2362963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2363025Z x = self.blocks(x) 2025-08-14T21:36:22.2363284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2363350Z x = self.se(x) 2025-08-14T21:36:22.2363567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2363639Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2363642Z 2025-08-14T21:36:22.2363740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2363942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2364010Z return mod(*inputs) 2025-08-14T21:36:22.2364209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2364283Z x = self.forward_features(x) 2025-08-14T21:36:22.2364507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2364570Z x = self.blocks(x) 2025-08-14T21:36:22.2364798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2364856Z x = self.se(x) 2025-08-14T21:36:22.2365082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2365157Z return x * self.gate(x_se) 2025-08-14T21:36:22.2365161Z 2025-08-14T21:36:22.2365257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2365448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2365509Z return mod(*inputs) 2025-08-14T21:36:22.2365710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2365783Z x = self.forward_features(x) 2025-08-14T21:36:22.2366005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2366067Z x = self.blocks(x) 2025-08-14T21:36:22.2366288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2366346Z x = self.se(x) 2025-08-14T21:36:22.2366565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2366631Z return x * self.gate(x_se) 2025-08-14T21:36:22.2366634Z 2025-08-14T21:36:22.2366733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2366929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2366992Z return mod(*inputs) 2025-08-14T21:36:22.2367192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2367267Z x = self.forward_features(x) 2025-08-14T21:36:22.2367493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2367560Z x = self.blocks(x) 2025-08-14T21:36:22.2367775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2367833Z x = self.se(x) 2025-08-14T21:36:22.2368052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2368118Z return x * self.gate(x_se) 2025-08-14T21:36:22.2368148Z 2025-08-14T21:36:22.2368231Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2368328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2368515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2368584Z return mod(*inputs) 2025-08-14T21:36:22.2368788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2369158Z x = self.forward_features(x) 2025-08-14T21:36:22.2369389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2369446Z x = self.blocks(x) 2025-08-14T21:36:22.2369671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2369738Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2369940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2370050Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2370259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2370356Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2370361Z 2025-08-14T21:36:22.2370468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2370658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2370726Z return mod(*inputs) 2025-08-14T21:36:22.2370926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2370994Z x = self.forward_features(x) 2025-08-14T21:36:22.2371226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2371286Z x = self.blocks(x) 2025-08-14T21:36:22.2371504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2371576Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2371778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2371887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2372105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2372205Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2372209Z 2025-08-14T21:36:22.2372296Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2372396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2372602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2372667Z return mod(*inputs) 2025-08-14T21:36:22.2372890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2372971Z x = self.forward_features(x) 2025-08-14T21:36:22.2373218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2373295Z x = self.blocks(x) 2025-08-14T21:36:22.2373530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2373596Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2373809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2373912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2374159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2374270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2374274Z 2025-08-14T21:36:22.2374378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2374574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2374647Z return mod(*inputs) 2025-08-14T21:36:22.2374893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2374970Z x = self.forward_features(x) 2025-08-14T21:36:22.2375206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2375271Z x = self.blocks(x) 2025-08-14T21:36:22.2375521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2375589Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2375811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2375927Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2376156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2376341Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2376351Z 2025-08-14T21:36:22.2376439Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2376522Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2376639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2376848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2376919Z return mod(*inputs) 2025-08-14T21:36:22.2377154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2377230Z x = self.forward_features(x) 2025-08-14T21:36:22.2377492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2377562Z x = self.blocks(x) 2025-08-14T21:36:22.2377826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2377907Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2378114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2378190Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2378194Z 2025-08-14T21:36:22.2378296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2378493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2378567Z return mod(*inputs) 2025-08-14T21:36:22.2378780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2378851Z x = self.forward_features(x) 2025-08-14T21:36:22.2379093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2379156Z x = self.blocks(x) 2025-08-14T21:36:22.2379393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2379471Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2379475Z 2025-08-14T21:36:22.2379578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2379786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2379850Z return mod(*inputs) 2025-08-14T21:36:22.2380057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2380134Z x = self.forward_features(x) 2025-08-14T21:36:22.2380396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2380468Z x = self.blocks(x) 2025-08-14T21:36:22.2380703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2380765Z x = self.bn1(x) 2025-08-14T21:36:22.2381006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2381069Z x = self.act(x) 2025-08-14T21:36:22.2381072Z 2025-08-14T21:36:22.2381174Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2381381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2381447Z return mod(*inputs) 2025-08-14T21:36:22.2381664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2381737Z x = self.forward_features(x) 2025-08-14T21:36:22.2381975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2382046Z x = self.blocks(x) 2025-08-14T21:36:22.2382272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2382334Z x = self.bn1(x) 2025-08-14T21:36:22.2382539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2382599Z x = self.act(x) 2025-08-14T21:36:22.2382603Z 2025-08-14T21:36:22.2382712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2382908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2382972Z return mod(*inputs) 2025-08-14T21:36:22.2383192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2383261Z x = self.forward_features(x) 2025-08-14T21:36:22.2383502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2383566Z x = self.blocks(x) 2025-08-14T21:36:22.2383789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2383862Z x = self.conv_dw(x) 2025-08-14T21:36:22.2384067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2384171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2384394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2384496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2384500Z 2025-08-14T21:36:22.2384613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2384810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2384875Z return mod(*inputs) 2025-08-14T21:36:22.2385093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2385165Z x = self.forward_features(x) 2025-08-14T21:36:22.2385399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2385478Z x = self.blocks(x) 2025-08-14T21:36:22.2385692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2385759Z x = self.conv_dw(x) 2025-08-14T21:36:22.2385953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2386082Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2386299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2386397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2386400Z 2025-08-14T21:36:22.2386503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2386736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2386800Z return mod(*inputs) 2025-08-14T21:36:22.2387005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2387071Z x = self.forward_features(x) 2025-08-14T21:36:22.2387288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2387353Z x = self.blocks(x) 2025-08-14T21:36:22.2387571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2387634Z x = self.conv_dw(x) 2025-08-14T21:36:22.2387825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2387920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2388137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2388231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2388234Z 2025-08-14T21:36:22.2388332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2388525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2388585Z return mod(*inputs) 2025-08-14T21:36:22.2388795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2388860Z x = self.forward_features(x) 2025-08-14T21:36:22.2389082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2389148Z x = self.blocks(x) 2025-08-14T21:36:22.2389363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2389425Z x = self.conv_dw(x) 2025-08-14T21:36:22.2389625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2389723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2389939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2390037Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2390040Z 2025-08-14T21:36:22.2390141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2390350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2390409Z return mod(*inputs) 2025-08-14T21:36:22.2390616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2390683Z x = self.forward_features(x) 2025-08-14T21:36:22.2390906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2390972Z x = self.blocks(x) 2025-08-14T21:36:22.2391187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2391246Z x = self.conv_dw(x) 2025-08-14T21:36:22.2391452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2391578Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2391806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2391904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2391907Z 2025-08-14T21:36:22.2392006Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2392238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2392298Z return mod(*inputs) 2025-08-14T21:36:22.2392503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2392578Z x = self.forward_features(x) 2025-08-14T21:36:22.2392816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2392885Z x = self.blocks(x) 2025-08-14T21:36:22.2393110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2393172Z x = self.conv_dw(x) 2025-08-14T21:36:22.2393383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2393481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2393699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2393798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2393801Z 2025-08-14T21:36:22.2393913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2394108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2394169Z return mod(*inputs) 2025-08-14T21:36:22.2394367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2394443Z x = self.forward_features(x) 2025-08-14T21:36:22.2394667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2394732Z x = self.blocks(x) 2025-08-14T21:36:22.2394946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2395007Z x = self.conv_dw(x) 2025-08-14T21:36:22.2395207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2395301Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2395504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2395608Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2395611Z 2025-08-14T21:36:22.2395710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2395902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2395964Z return mod(*inputs) 2025-08-14T21:36:22.2396163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2396238Z x = self.forward_features(x) 2025-08-14T21:36:22.2396463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2396528Z x = self.blocks(x) 2025-08-14T21:36:22.2396741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2396801Z x = self.conv_dw(x) 2025-08-14T21:36:22.2397000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2397131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2397336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2397441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2397444Z 2025-08-14T21:36:22.2397521Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2397602Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2397708Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2397782Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2397888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2398073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2398133Z return mod(*inputs) 2025-08-14T21:36:22.2398343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2398410Z x = self.forward_features(x) 2025-08-14T21:36:22.2398642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2398701Z x = self.blocks(x) 2025-08-14T21:36:22.2398916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2398984Z x = self.conv_dw(x) 2025-08-14T21:36:22.2399181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2399247Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2399250Z 2025-08-14T21:36:22.2399332Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2399429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2399619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2399680Z return mod(*inputs) 2025-08-14T21:36:22.2399880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2399954Z x = self.forward_features(x) 2025-08-14T21:36:22.2400182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2400242Z x = self.blocks(x) 2025-08-14T21:36:22.2400471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2400532Z x = self.se(x) 2025-08-14T21:36:22.2400758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2400832Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2400836Z 2025-08-14T21:36:22.2400935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2401131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2401194Z return mod(*inputs) 2025-08-14T21:36:22.2401402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2401479Z x = self.forward_features(x) 2025-08-14T21:36:22.2401709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2401776Z x = self.blocks(x) 2025-08-14T21:36:22.2402003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2402061Z x = self.se(x) 2025-08-14T21:36:22.2402287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2402351Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2402354Z 2025-08-14T21:36:22.2402459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2402684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2402746Z return mod(*inputs) 2025-08-14T21:36:22.2402955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2403021Z x = self.forward_features(x) 2025-08-14T21:36:22.2403246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2403343Z x = self.blocks(x) 2025-08-14T21:36:22.2403557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2403622Z x = self.se(x) 2025-08-14T21:36:22.2403844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2403909Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2403912Z 2025-08-14T21:36:22.2404020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2404218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2404282Z return mod(*inputs) 2025-08-14T21:36:22.2404498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2404568Z x = self.forward_features(x) 2025-08-14T21:36:22.2404804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2404867Z x = self.blocks(x) 2025-08-14T21:36:22.2405091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2405156Z x = self.se(x) 2025-08-14T21:36:22.2405375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2405444Z return x * self.gate(x_se) 2025-08-14T21:36:22.2405448Z 2025-08-14T21:36:22.2405557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2405752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2405823Z return mod(*inputs) 2025-08-14T21:36:22.2406033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2406100Z x = self.forward_features(x) 2025-08-14T21:36:22.2406342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2406402Z x = self.blocks(x) 2025-08-14T21:36:22.2406626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2406692Z x = self.se(x) 2025-08-14T21:36:22.2406914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2406990Z return x * self.gate(x_se) 2025-08-14T21:36:22.2406993Z 2025-08-14T21:36:22.2407096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2407291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2407360Z return mod(*inputs) 2025-08-14T21:36:22.2407571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2407649Z x = self.forward_features(x) 2025-08-14T21:36:22.2407880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2407942Z x = self.blocks(x) 2025-08-14T21:36:22.2408171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2408229Z x = self.se(x) 2025-08-14T21:36:22.2408449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2408568Z return x * self.gate(x_se) 2025-08-14T21:36:22.2408571Z 2025-08-14T21:36:22.2408672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2408872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2408934Z return mod(*inputs) 2025-08-14T21:36:22.2409140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2409243Z x = self.forward_features(x) 2025-08-14T21:36:22.2409484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2409543Z x = self.blocks(x) 2025-08-14T21:36:22.2409778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2409843Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2409847Z 2025-08-14T21:36:22.2409955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2410149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2410211Z return mod(*inputs) 2025-08-14T21:36:22.2410431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2410498Z x = self.forward_features(x) 2025-08-14T21:36:22.2410730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2410799Z x = self.blocks(x) 2025-08-14T21:36:22.2411020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2411094Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2411097Z 2025-08-14T21:36:22.2411197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2411397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2411466Z return mod(*inputs) 2025-08-14T21:36:22.2411830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2411905Z x = self.forward_features(x) 2025-08-14T21:36:22.2412146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2412213Z x = self.blocks(x) 2025-08-14T21:36:22.2412443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2412504Z x = self.bn1(x) 2025-08-14T21:36:22.2412707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2412778Z x = self.act(x) 2025-08-14T21:36:22.2412782Z 2025-08-14T21:36:22.2412884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2413099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2413164Z return mod(*inputs) 2025-08-14T21:36:22.2413389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2413470Z x = self.forward_features(x) 2025-08-14T21:36:22.2413720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2413789Z x = self.blocks(x) 2025-08-14T21:36:22.2414040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2414105Z x = self.bn1(x) 2025-08-14T21:36:22.2414329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2414395Z x = self.act(x) 2025-08-14T21:36:22.2414399Z 2025-08-14T21:36:22.2414506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2414782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2414853Z return mod(*inputs) 2025-08-14T21:36:22.2415085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2415164Z x = self.forward_features(x) 2025-08-14T21:36:22.2415440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2415511Z x = self.blocks(x) 2025-08-14T21:36:22.2415736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2415799Z x = self.conv_dw(x) 2025-08-14T21:36:22.2416015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2416120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2416397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2416513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2416517Z 2025-08-14T21:36:22.2416619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2416823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2416891Z return mod(*inputs) 2025-08-14T21:36:22.2417101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2417177Z x = self.forward_features(x) 2025-08-14T21:36:22.2417413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2417483Z x = self.blocks(x) 2025-08-14T21:36:22.2417724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2417787Z x = self.conv_dw(x) 2025-08-14T21:36:22.2417995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2418095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2418307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2418419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2418422Z 2025-08-14T21:36:22.2418522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2418724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2418786Z return mod(*inputs) 2025-08-14T21:36:22.2418992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2419072Z x = self.forward_features(x) 2025-08-14T21:36:22.2419301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2419361Z x = self.blocks(x) 2025-08-14T21:36:22.2419592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2419657Z x = self.conv_dw(x) 2025-08-14T21:36:22.2419868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2419969Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2420179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2420286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2420289Z 2025-08-14T21:36:22.2420388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2420624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2420689Z return mod(*inputs) 2025-08-14T21:36:22.2420895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2420970Z x = self.forward_features(x) 2025-08-14T21:36:22.2421228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2421289Z x = self.blocks(x) 2025-08-14T21:36:22.2421519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2421580Z x = self.conv_dw(x) 2025-08-14T21:36:22.2421786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2421884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2422097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2422201Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2422205Z 2025-08-14T21:36:22.2422304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2422495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2422568Z return mod(*inputs) 2025-08-14T21:36:22.2422774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2422850Z x = self.forward_features(x) 2025-08-14T21:36:22.2423076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2423146Z x = self.blocks(x) 2025-08-14T21:36:22.2423377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2423438Z x = self.conv_dw(x) 2025-08-14T21:36:22.2423632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2423735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2423941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2424046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2424049Z 2025-08-14T21:36:22.2424145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2424331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2424398Z return mod(*inputs) 2025-08-14T21:36:22.2424596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2424673Z x = self.forward_features(x) 2025-08-14T21:36:22.2424895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2424952Z x = self.blocks(x) 2025-08-14T21:36:22.2425169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2425229Z x = self.conv_dw(x) 2025-08-14T21:36:22.2425428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2425531Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2425735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2425837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2425840Z 2025-08-14T21:36:22.2425939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2426153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2426225Z return mod(*inputs) 2025-08-14T21:36:22.2426432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2426500Z x = self.forward_features(x) 2025-08-14T21:36:22.2426736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2426827Z x = self.blocks(x) 2025-08-14T21:36:22.2427053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2427114Z x = self.conv_dw(x) 2025-08-14T21:36:22.2427312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2427417Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2427629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2427733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2427737Z 2025-08-14T21:36:22.2427833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2428021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2428092Z return mod(*inputs) 2025-08-14T21:36:22.2428293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2428360Z x = self.forward_features(x) 2025-08-14T21:36:22.2428592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2428650Z x = self.blocks(x) 2025-08-14T21:36:22.2428873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2428935Z x = self.conv_dw(x) 2025-08-14T21:36:22.2429131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2429235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2429440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2429538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2429548Z 2025-08-14T21:36:22.2429625Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2429701Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2429783Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2429854Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2429951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2430150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2430214Z return mod(*inputs) 2025-08-14T21:36:22.2430421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2430497Z x = self.forward_features(x) 2025-08-14T21:36:22.2430730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2430803Z x = self.blocks(x) 2025-08-14T21:36:22.2431026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2431088Z x = self.conv_dw(x) 2025-08-14T21:36:22.2431300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2431367Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2431370Z 2025-08-14T21:36:22.2431447Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2431594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2431790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2431861Z return mod(*inputs) 2025-08-14T21:36:22.2432070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2432138Z x = self.forward_features(x) 2025-08-14T21:36:22.2432413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2432476Z x = self.blocks(x) 2025-08-14T21:36:22.2432709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2432781Z x = self.se(x) 2025-08-14T21:36:22.2433022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2433109Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2433115Z 2025-08-14T21:36:22.2433224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2433428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2433508Z return mod(*inputs) 2025-08-14T21:36:22.2433733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2433817Z x = self.forward_features(x) 2025-08-14T21:36:22.2434067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2434127Z x = self.blocks(x) 2025-08-14T21:36:22.2434354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2434414Z x = self.se(x) 2025-08-14T21:36:22.2434630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2434717Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2434720Z 2025-08-14T21:36:22.2434817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2435011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2435072Z return mod(*inputs) 2025-08-14T21:36:22.2435271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2435347Z x = self.forward_features(x) 2025-08-14T21:36:22.2435566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2435626Z x = self.blocks(x) 2025-08-14T21:36:22.2435853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2435913Z x = self.se(x) 2025-08-14T21:36:22.2436138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2436203Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2436206Z 2025-08-14T21:36:22.2436307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2436508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2436570Z return mod(*inputs) 2025-08-14T21:36:22.2436775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2436852Z x = self.forward_features(x) 2025-08-14T21:36:22.2437086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2437153Z x = self.blocks(x) 2025-08-14T21:36:22.2437370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2437427Z x = self.se(x) 2025-08-14T21:36:22.2437683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2437751Z return x * self.gate(x_se) 2025-08-14T21:36:22.2437754Z 2025-08-14T21:36:22.2437858Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2438048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2438163Z return mod(*inputs) 2025-08-14T21:36:22.2438380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2438447Z x = self.forward_features(x) 2025-08-14T21:36:22.2438676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2438745Z x = self.blocks(x) 2025-08-14T21:36:22.2438967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2439035Z x = self.se(x) 2025-08-14T21:36:22.2439254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2439323Z return x * self.gate(x_se) 2025-08-14T21:36:22.2439326Z 2025-08-14T21:36:22.2439432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2439628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2439691Z return mod(*inputs) 2025-08-14T21:36:22.2439906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2439975Z x = self.forward_features(x) 2025-08-14T21:36:22.2440209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2440270Z x = self.blocks(x) 2025-08-14T21:36:22.2440494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2440561Z x = self.se(x) 2025-08-14T21:36:22.2440779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2440846Z return x * self.gate(x_se) 2025-08-14T21:36:22.2440849Z 2025-08-14T21:36:22.2440937Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2441040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2441242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2441304Z return mod(*inputs) 2025-08-14T21:36:22.2441512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2441586Z x = self.forward_features(x) 2025-08-14T21:36:22.2441817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2441876Z x = self.blocks(x) 2025-08-14T21:36:22.2442106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2442170Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2442378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2442482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2442693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2442802Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2442805Z 2025-08-14T21:36:22.2442904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2443104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2443167Z return mod(*inputs) 2025-08-14T21:36:22.2443411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2443490Z x = self.forward_features(x) 2025-08-14T21:36:22.2443719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2443781Z x = self.blocks(x) 2025-08-14T21:36:22.2444038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2444103Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2444311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2444412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2444623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2444734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2444737Z 2025-08-14T21:36:22.2444815Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2444916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2445115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2445178Z return mod(*inputs) 2025-08-14T21:36:22.2445392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2445460Z x = self.forward_features(x) 2025-08-14T21:36:22.2445687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2445756Z x = self.blocks(x) 2025-08-14T21:36:22.2445975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2446040Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2446256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2446356Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2446573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2446670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2446676Z 2025-08-14T21:36:22.2446777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2446976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2447039Z return mod(*inputs) 2025-08-14T21:36:22.2447251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2447320Z x = self.forward_features(x) 2025-08-14T21:36:22.2447548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2447617Z x = self.blocks(x) 2025-08-14T21:36:22.2447835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2447900Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2448110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2448213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2448429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2448527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2448530Z 2025-08-14T21:36:22.2448607Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2448691Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2448822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2449018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2449090Z return mod(*inputs) 2025-08-14T21:36:22.2449295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2449369Z x = self.forward_features(x) 2025-08-14T21:36:22.2449633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2449693Z x = self.blocks(x) 2025-08-14T21:36:22.2449919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2449984Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2450186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2450260Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2450263Z 2025-08-14T21:36:22.2450365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2450563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2450628Z return mod(*inputs) 2025-08-14T21:36:22.2450832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2450912Z x = self.forward_features(x) 2025-08-14T21:36:22.2451139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2451202Z x = self.blocks(x) 2025-08-14T21:36:22.2451429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2451501Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2451505Z 2025-08-14T21:36:22.2451610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2451805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2451869Z return mod(*inputs) 2025-08-14T21:36:22.2452083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2452150Z x = self.forward_features(x) 2025-08-14T21:36:22.2452391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2452458Z x = self.blocks(x) 2025-08-14T21:36:22.2452702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2452772Z x = self.bn1(x) 2025-08-14T21:36:22.2452990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2453054Z x = self.act(x) 2025-08-14T21:36:22.2453057Z 2025-08-14T21:36:22.2453171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2453381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2453455Z return mod(*inputs) 2025-08-14T21:36:22.2453674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2453747Z x = self.forward_features(x) 2025-08-14T21:36:22.2454000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2454064Z x = self.blocks(x) 2025-08-14T21:36:22.2454303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2454374Z x = self.bn1(x) 2025-08-14T21:36:22.2454587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2454658Z x = self.act(x) 2025-08-14T21:36:22.2454662Z 2025-08-14T21:36:22.2454803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2455003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2455075Z return mod(*inputs) 2025-08-14T21:36:22.2455286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2455385Z x = self.forward_features(x) 2025-08-14T21:36:22.2455628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2455692Z x = self.blocks(x) 2025-08-14T21:36:22.2455932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2455997Z x = self.conv_dw(x) 2025-08-14T21:36:22.2456284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2456418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2456649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2456759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2456772Z 2025-08-14T21:36:22.2456882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2457098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2457178Z return mod(*inputs) 2025-08-14T21:36:22.2457401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2457476Z x = self.forward_features(x) 2025-08-14T21:36:22.2457736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2457804Z x = self.blocks(x) 2025-08-14T21:36:22.2458058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2458127Z x = self.conv_dw(x) 2025-08-14T21:36:22.2458348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2458467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2458705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2458814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2458826Z 2025-08-14T21:36:22.2458937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2459148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2459227Z return mod(*inputs) 2025-08-14T21:36:22.2459453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2459528Z x = self.forward_features(x) 2025-08-14T21:36:22.2459785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2459851Z x = self.blocks(x) 2025-08-14T21:36:22.2460094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2460170Z x = self.conv_dw(x) 2025-08-14T21:36:22.2460390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2460501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2460731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2460838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2460841Z 2025-08-14T21:36:22.2460995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2461211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2461287Z return mod(*inputs) 2025-08-14T21:36:22.2461519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2461621Z x = self.forward_features(x) 2025-08-14T21:36:22.2461873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2461936Z x = self.blocks(x) 2025-08-14T21:36:22.2462163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2462234Z x = self.conv_dw(x) 2025-08-14T21:36:22.2462437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2462549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2462764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2462868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2462871Z 2025-08-14T21:36:22.2462981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2463180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2463252Z return mod(*inputs) 2025-08-14T21:36:22.2463462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2463532Z x = self.forward_features(x) 2025-08-14T21:36:22.2463771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2463832Z x = self.blocks(x) 2025-08-14T21:36:22.2464059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2464131Z x = self.conv_dw(x) 2025-08-14T21:36:22.2464335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2464442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2464658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2464758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2464761Z 2025-08-14T21:36:22.2464870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2465063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2465127Z return mod(*inputs) 2025-08-14T21:36:22.2465346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2465418Z x = self.forward_features(x) 2025-08-14T21:36:22.2465660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2465722Z x = self.blocks(x) 2025-08-14T21:36:22.2465948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2466021Z x = self.conv_dw(x) 2025-08-14T21:36:22.2466226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2466325Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2466545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2466644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2466647Z 2025-08-14T21:36:22.2466786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2466982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2467046Z return mod(*inputs) 2025-08-14T21:36:22.2467260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2467328Z x = self.forward_features(x) 2025-08-14T21:36:22.2467592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2467655Z x = self.blocks(x) 2025-08-14T21:36:22.2467878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2467946Z x = self.conv_dw(x) 2025-08-14T21:36:22.2468148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2468249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2468464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2468562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2468565Z 2025-08-14T21:36:22.2468672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2468864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2468927Z return mod(*inputs) 2025-08-14T21:36:22.2469140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2469209Z x = self.forward_features(x) 2025-08-14T21:36:22.2469435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2469504Z x = self.blocks(x) 2025-08-14T21:36:22.2469729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2469797Z x = self.conv_dw(x) 2025-08-14T21:36:22.2469999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2470098Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2470317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2470418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2470421Z 2025-08-14T21:36:22.2470508Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2470585Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2470661Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2470741Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2470842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2471036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2471108Z return mod(*inputs) 2025-08-14T21:36:22.2471314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2471382Z x = self.forward_features(x) 2025-08-14T21:36:22.2471617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2471683Z x = self.blocks(x) 2025-08-14T21:36:22.2471913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2471976Z x = self.conv_dw(x) 2025-08-14T21:36:22.2472178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2472255Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2472258Z 2025-08-14T21:36:22.2472335Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2472472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2472668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2472733Z return mod(*inputs) 2025-08-14T21:36:22.2472947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2473059Z x = self.forward_features(x) 2025-08-14T21:36:22.2473302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2473375Z x = self.blocks(x) 2025-08-14T21:36:22.2473601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2473667Z x = self.se(x) 2025-08-14T21:36:22.2473888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2473964Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2473968Z 2025-08-14T21:36:22.2474077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2474272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2474336Z return mod(*inputs) 2025-08-14T21:36:22.2474551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2474622Z x = self.forward_features(x) 2025-08-14T21:36:22.2474859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2474921Z x = self.blocks(x) 2025-08-14T21:36:22.2475142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2475208Z x = self.se(x) 2025-08-14T21:36:22.2475441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2475505Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2475508Z 2025-08-14T21:36:22.2475613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2475801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2475873Z return mod(*inputs) 2025-08-14T21:36:22.2476077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2476143Z x = self.forward_features(x) 2025-08-14T21:36:22.2476372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2476431Z x = self.blocks(x) 2025-08-14T21:36:22.2476646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2476712Z x = self.se(x) 2025-08-14T21:36:22.2476930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2477002Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2477006Z 2025-08-14T21:36:22.2477101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2477291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2477365Z return mod(*inputs) 2025-08-14T21:36:22.2477568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2477644Z x = self.forward_features(x) 2025-08-14T21:36:22.2477869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2477930Z x = self.blocks(x) 2025-08-14T21:36:22.2478152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2478271Z x = self.se(x) 2025-08-14T21:36:22.2478487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2478564Z return x * self.gate(x_se) 2025-08-14T21:36:22.2478567Z 2025-08-14T21:36:22.2478664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2478862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2478954Z return mod(*inputs) 2025-08-14T21:36:22.2479158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2479233Z x = self.forward_features(x) 2025-08-14T21:36:22.2479463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2479523Z x = self.blocks(x) 2025-08-14T21:36:22.2479747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2479805Z x = self.se(x) 2025-08-14T21:36:22.2480032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2480102Z return x * self.gate(x_se) 2025-08-14T21:36:22.2480105Z 2025-08-14T21:36:22.2480203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2480403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2480467Z return mod(*inputs) 2025-08-14T21:36:22.2480673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2480747Z x = self.forward_features(x) 2025-08-14T21:36:22.2480974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2481043Z x = self.blocks(x) 2025-08-14T21:36:22.2481261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2481320Z x = self.se(x) 2025-08-14T21:36:22.2481538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2481604Z return x * self.gate(x_se) 2025-08-14T21:36:22.2481610Z 2025-08-14T21:36:22.2481686Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2481791Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2481982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2482053Z return mod(*inputs) 2025-08-14T21:36:22.2482255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2482321Z x = self.forward_features(x) 2025-08-14T21:36:22.2482555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2482615Z x = self.blocks(x) 2025-08-14T21:36:22.2482833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2482904Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2483101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2483212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2483419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2483520Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2483523Z 2025-08-14T21:36:22.2483631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2483819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2483920Z return mod(*inputs) 2025-08-14T21:36:22.2484124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2484192Z x = self.forward_features(x) 2025-08-14T21:36:22.2484423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2484513Z x = self.blocks(x) 2025-08-14T21:36:22.2484733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2484805Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2485005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2485112Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2485321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2485419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2485422Z 2025-08-14T21:36:22.2485506Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2485605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2485800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2485873Z return mod(*inputs) 2025-08-14T21:36:22.2486079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2486153Z x = self.forward_features(x) 2025-08-14T21:36:22.2486378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2486438Z x = self.blocks(x) 2025-08-14T21:36:22.2486663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2486729Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2486934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2487030Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2487236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2487344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2487348Z 2025-08-14T21:36:22.2487447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2487644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2487714Z return mod(*inputs) 2025-08-14T21:36:22.2487916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2487991Z x = self.forward_features(x) 2025-08-14T21:36:22.2488217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2488277Z x = self.blocks(x) 2025-08-14T21:36:22.2488501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2488565Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2488765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2488873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2489079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2489181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2489185Z 2025-08-14T21:36:22.2489261Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2489336Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2489474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2489668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2489731Z return mod(*inputs) 2025-08-14T21:36:22.2489941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2490039Z x = self.forward_features(x) 2025-08-14T21:36:22.2490280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2490342Z x = self.blocks(x) 2025-08-14T21:36:22.2490588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2490662Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2490865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2490936Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2490946Z 2025-08-14T21:36:22.2491046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2491242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2491317Z return mod(*inputs) 2025-08-14T21:36:22.2491529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2491603Z x = self.forward_features(x) 2025-08-14T21:36:22.2491849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2491913Z x = self.blocks(x) 2025-08-14T21:36:22.2492147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2492224Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2492227Z 2025-08-14T21:36:22.2492332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2492538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2492604Z return mod(*inputs) 2025-08-14T21:36:22.2492826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2492907Z x = self.forward_features(x) 2025-08-14T21:36:22.2493157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2493238Z x = self.blocks(x) 2025-08-14T21:36:22.2493467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2493528Z x = self.bn1(x) 2025-08-14T21:36:22.2493736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2493797Z x = self.act(x) 2025-08-14T21:36:22.2493800Z 2025-08-14T21:36:22.2493904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2494108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2494171Z return mod(*inputs) 2025-08-14T21:36:22.2494401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2494471Z x = self.forward_features(x) 2025-08-14T21:36:22.2494699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2494767Z x = self.blocks(x) 2025-08-14T21:36:22.2494987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:36:22.2495047Z x = self.bn1(x) 2025-08-14T21:36:22.2495254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2495315Z x = self.act(x) 2025-08-14T21:36:22.2495358Z 2025-08-14T21:36:22.2495469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2495668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2495732Z return mod(*inputs) 2025-08-14T21:36:22.2495951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2496052Z x = self.forward_features(x) 2025-08-14T21:36:22.2496362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2496431Z x = self.blocks(x) 2025-08-14T21:36:22.2496659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2496734Z x = self.conv_dw(x) 2025-08-14T21:36:22.2496946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2497052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2497280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2497383Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2497387Z 2025-08-14T21:36:22.2497501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2497702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2497767Z return mod(*inputs) 2025-08-14T21:36:22.2497990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2498061Z x = self.forward_features(x) 2025-08-14T21:36:22.2498300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2498370Z x = self.blocks(x) 2025-08-14T21:36:22.2498587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2498657Z x = self.conv_dw(x) 2025-08-14T21:36:22.2498859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2498960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2499183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2499283Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2499286Z 2025-08-14T21:36:22.2499395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2499587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2499652Z return mod(*inputs) 2025-08-14T21:36:22.2499868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2499938Z x = self.forward_features(x) 2025-08-14T21:36:22.2500173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2500241Z x = self.blocks(x) 2025-08-14T21:36:22.2500455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2500527Z x = self.conv_dw(x) 2025-08-14T21:36:22.2500722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2500818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2501029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2501126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2501164Z 2025-08-14T21:36:22.2501267Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2501469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2501532Z return mod(*inputs) 2025-08-14T21:36:22.2501745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2501846Z x = self.forward_features(x) 2025-08-14T21:36:22.2502077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2502149Z x = self.blocks(x) 2025-08-14T21:36:22.2502371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2502435Z x = self.conv_dw(x) 2025-08-14T21:36:22.2502649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2502754Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2502980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2503094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2503097Z 2025-08-14T21:36:22.2503198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2503403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2503466Z return mod(*inputs) 2025-08-14T21:36:22.2503680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2503749Z x = self.forward_features(x) 2025-08-14T21:36:22.2503976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2504046Z x = self.blocks(x) 2025-08-14T21:36:22.2504271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2504333Z x = self.conv_dw(x) 2025-08-14T21:36:22.2504551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2504647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2504863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2504960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2504963Z 2025-08-14T21:36:22.2505062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2505257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2505318Z return mod(*inputs) 2025-08-14T21:36:22.2505522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2505598Z x = self.forward_features(x) 2025-08-14T21:36:22.2505821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2505887Z x = self.blocks(x) 2025-08-14T21:36:22.2506102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2506167Z x = self.conv_dw(x) 2025-08-14T21:36:22.2506372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2506469Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2506681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2506776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2506779Z 2025-08-14T21:36:22.2506908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2507106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2507166Z return mod(*inputs) 2025-08-14T21:36:22.2507366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2507472Z x = self.forward_features(x) 2025-08-14T21:36:22.2507698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2507764Z x = self.blocks(x) 2025-08-14T21:36:22.2507983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2508043Z x = self.conv_dw(x) 2025-08-14T21:36:22.2508249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2508346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2508554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2508656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2508659Z 2025-08-14T21:36:22.2508756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2508950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2509013Z return mod(*inputs) 2025-08-14T21:36:22.2509216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2509291Z x = self.forward_features(x) 2025-08-14T21:36:22.2509517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2509582Z x = self.blocks(x) 2025-08-14T21:36:22.2509801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2509863Z x = self.conv_dw(x) 2025-08-14T21:36:22.2510068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2510164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2510373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2510476Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2510479Z 2025-08-14T21:36:22.2510555Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2510638Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2510711Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2510786Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2510894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2511091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2511156Z return mod(*inputs) 2025-08-14T21:36:22.2511376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2511446Z x = self.forward_features(x) 2025-08-14T21:36:22.2511864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2511934Z x = self.blocks(x) 2025-08-14T21:36:22.2512165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:36:22.2512240Z x = self.conv_dw(x) 2025-08-14T21:36:22.2512449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2512518Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2512522Z 2025-08-14T21:36:22.2512670Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2512778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2512986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2513051Z return mod(*inputs) 2025-08-14T21:36:22.2513262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2513392Z x = self.forward_features(x) 2025-08-14T21:36:22.2513620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2513681Z x = self.blocks(x) 2025-08-14T21:36:22.2513910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2513970Z x = self.se(x) 2025-08-14T21:36:22.2514198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:36:22.2514279Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:36:22.2514283Z 2025-08-14T21:36:22.2514381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2514578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2514641Z return mod(*inputs) 2025-08-14T21:36:22.2514846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2514921Z x = self.forward_features(x) 2025-08-14T21:36:22.2515146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2515216Z x = self.blocks(x) 2025-08-14T21:36:22.2515438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2515497Z x = self.se(x) 2025-08-14T21:36:22.2515738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2515802Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2515806Z 2025-08-14T21:36:22.2515910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2516099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2516162Z return mod(*inputs) 2025-08-14T21:36:22.2516374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2516441Z x = self.forward_features(x) 2025-08-14T21:36:22.2516663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2516731Z x = self.blocks(x) 2025-08-14T21:36:22.2516947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2517014Z x = self.se(x) 2025-08-14T21:36:22.2517230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:36:22.2517295Z x_se = self.act1(x_se) 2025-08-14T21:36:22.2517298Z 2025-08-14T21:36:22.2517402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2517592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2517656Z return mod(*inputs) 2025-08-14T21:36:22.2517869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2517936Z x = self.forward_features(x) 2025-08-14T21:36:22.2518168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2518229Z x = self.blocks(x) 2025-08-14T21:36:22.2518480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2518548Z x = self.se(x) 2025-08-14T21:36:22.2518761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2518829Z return x * self.gate(x_se) 2025-08-14T21:36:22.2518832Z 2025-08-14T21:36:22.2518937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2519156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2519225Z return mod(*inputs) 2025-08-14T21:36:22.2519426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2519493Z x = self.forward_features(x) 2025-08-14T21:36:22.2519718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2519780Z x = self.blocks(x) 2025-08-14T21:36:22.2520001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2520064Z x = self.se(x) 2025-08-14T21:36:22.2520279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2520354Z return x * self.gate(x_se) 2025-08-14T21:36:22.2520360Z 2025-08-14T21:36:22.2520459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2520650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2520718Z return mod(*inputs) 2025-08-14T21:36:22.2520927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2520997Z x = self.forward_features(x) 2025-08-14T21:36:22.2521237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2521301Z x = self.blocks(x) 2025-08-14T21:36:22.2521533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:36:22.2521593Z x = self.se(x) 2025-08-14T21:36:22.2521817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:36:22.2521898Z return x * self.gate(x_se) 2025-08-14T21:36:22.2521901Z 2025-08-14T21:36:22.2521980Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2522088Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2522284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2522351Z return mod(*inputs) 2025-08-14T21:36:22.2522569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2522639Z x = self.forward_features(x) 2025-08-14T21:36:22.2522875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2522946Z x = self.blocks(x) 2025-08-14T21:36:22.2523172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2523247Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2523467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2523570Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2523789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2523890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2523893Z 2025-08-14T21:36:22.2523994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2524233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2524301Z return mod(*inputs) 2025-08-14T21:36:22.2524525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2524597Z x = self.forward_features(x) 2025-08-14T21:36:22.2524833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2524940Z x = self.blocks(x) 2025-08-14T21:36:22.2525174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2525242Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2525461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2525565Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2525794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2525897Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2525900Z 2025-08-14T21:36:22.2525980Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2526092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2526292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2526367Z return mod(*inputs) 2025-08-14T21:36:22.2526584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2526657Z x = self.forward_features(x) 2025-08-14T21:36:22.2526907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2526971Z x = self.blocks(x) 2025-08-14T21:36:22.2527205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2527281Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2527495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2527605Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2527827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2527931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2527934Z 2025-08-14T21:36:22.2528045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2528248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2528313Z return mod(*inputs) 2025-08-14T21:36:22.2528536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2528611Z x = self.forward_features(x) 2025-08-14T21:36:22.2528858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2528921Z x = self.blocks(x) 2025-08-14T21:36:22.2529155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2529231Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2529442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:36:22.2529543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2529769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:36:22.2529871Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:36:22.2529874Z 2025-08-14T21:36:22.2529962Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2530076Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2530183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2530387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2530452Z return mod(*inputs) 2025-08-14T21:36:22.2530673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2530800Z x = self.forward_features(x) 2025-08-14T21:36:22.2531039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2531110Z x = self.blocks(x) 2025-08-14T21:36:22.2531339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:36:22.2531406Z x = self.conv_pwl(x) 2025-08-14T21:36:22.2531636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:36:22.2531708Z x = torch.cat(x_out, 1) 2025-08-14T21:36:22.2531712Z 2025-08-14T21:36:22.2531828Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2532037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2532107Z return mod(*inputs) 2025-08-14T21:36:22.2532340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2532416Z x = self.forward_features(x) 2025-08-14T21:36:22.2532667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:36:22.2532742Z x = self.blocks(x) 2025-08-14T21:36:22.2532985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:36:22.2533072Z x = self.drop_path(x) + shortcut 2025-08-14T21:36:22.2533076Z 2025-08-14T21:36:22.2533188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2533399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2533476Z return mod(*inputs) 2025-08-14T21:36:22.2533700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2533777Z x = self.forward_features(x) 2025-08-14T21:36:22.2534031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:36:22.2534097Z x = self.bn2(x) 2025-08-14T21:36:22.2534318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2534384Z x = self.act(x) 2025-08-14T21:36:22.2534388Z 2025-08-14T21:36:22.2534494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2534712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2534780Z return mod(*inputs) 2025-08-14T21:36:22.2535005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:36:22.2535086Z x = self.forward_features(x) 2025-08-14T21:36:22.2535335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:36:22.2535411Z x = self.bn2(x) 2025-08-14T21:36:22.2535624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:36:22.2535688Z x = self.act(x) 2025-08-14T21:36:22.2535691Z 2025-08-14T21:36:22.2535783Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2535892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:36:22.2536108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:36:22.2536289Z return mod(*inputs) 2025-08-14T21:36:22.2536532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:36:22.2536615Z x = self.forward_head(x) 2025-08-14T21:36:22.2536861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:36:22.2536979Z x = self.global_pool(x) 2025-08-14T21:36:22.2537245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:36:22.2537311Z x = self.pool(x) 2025-08-14T21:36:22.2537315Z 2025-08-14T21:36:22.2537402Z cudagraph partition due to non gpu ops 2025-08-14T21:36:22.2537480Z cudagraph partition due to non gpu ops 2025-08-14T21:36:42.7094157Z Compilation time (from dynamo_timed): 38.079677813 2025-08-14T21:36:42.7094472Z pass 2025-08-14T21:36:42.7095166Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:36:42.7096096Z TIMING: _recursive_pre_grad_passes:0.06064 _recursive_joint_graph_passes:0.19973 _recursive_post_grad_passes:0.10805 async_compile.wait:0.6224 code_gen:19.40997 inductor_compile:22.09655 backend_compile:32.07336 gc:0.00027 entire_frame_compile:38.07968 total_wall_time:38.07968 2025-08-14T21:36:42.7097335Z STATS: call_* op count: 523 | FakeTensorMode.__torch_dispatch__:43670 | FakeTensor.__torch_dispatch__:6751 | ProxyTorchDispatchMode.__torch_dispatch__:8694 2025-08-14T21:36:42.7097897Z Dynamo produced 1 graphs covering 523 ops with 0 graph breaks (0 unique) 2025-08-14T21:36:48.0867121Z 2025-08-14T21:36:48.2123196Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:48.2123459Z 2025-08-14T21:36:48.2655453Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-14T21:50:49.8887027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8887195Z 2025-08-14T21:50:49.8887304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8887672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8887991Z return mod(*inputs) 2025-08-14T21:50:49.8888313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8888657Z x = self.forward_features(x) 2025-08-14T21:50:49.8889012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8889363Z x = self.blocks(x) 2025-08-14T21:50:49.8889693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.8890046Z x = self.conv_pw(x) 2025-08-14T21:50:49.8890350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8890720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8891252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8891649Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8891814Z 2025-08-14T21:50:49.8891919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8892328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8892708Z return mod(*inputs) 2025-08-14T21:50:49.8893049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8893410Z x = self.forward_features(x) 2025-08-14T21:50:49.8893801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8894189Z x = self.blocks(x) 2025-08-14T21:50:49.8894544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.8894933Z x = self.conv_pw(x) 2025-08-14T21:50:49.8895275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8895670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8896084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8896789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8896965Z 2025-08-14T21:50:49.8897089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8897475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8897825Z return mod(*inputs) 2025-08-14T21:50:49.8898206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8898564Z x = self.forward_features(x) 2025-08-14T21:50:49.8898930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8899300Z x = self.blocks(x) 2025-08-14T21:50:49.8899649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.8900006Z x = self.conv_pw(x) 2025-08-14T21:50:49.8900321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8900712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8901114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8901513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8901689Z 2025-08-14T21:50:49.8901779Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8902012Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8902262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8902642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8902967Z return mod(*inputs) 2025-08-14T21:50:49.8903291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8903635Z x = self.forward_features(x) 2025-08-14T21:50:49.8903995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8904362Z x = self.blocks(x) 2025-08-14T21:50:49.8904687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.8905045Z x = self.conv_pw(x) 2025-08-14T21:50:49.8905364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.8905707Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.8905842Z 2025-08-14T21:50:49.8905950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8906316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8906659Z return mod(*inputs) 2025-08-14T21:50:49.8906972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8907334Z x = self.forward_features(x) 2025-08-14T21:50:49.8907699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8908063Z x = self.blocks(x) 2025-08-14T21:50:49.8908393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8908751Z x = self.conv_dw(x) 2025-08-14T21:50:49.8909069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8909436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8910065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8910448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8910838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8911187Z return conv2d_same( 2025-08-14T21:50:49.8911560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.8912143Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.8912546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.8913028Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.8913442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.8913802Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.8913962Z 2025-08-14T21:50:49.8914078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8914437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8914774Z return mod(*inputs) 2025-08-14T21:50:49.8915109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8915467Z x = self.forward_features(x) 2025-08-14T21:50:49.8915827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8916199Z x = self.blocks(x) 2025-08-14T21:50:49.8916538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8916887Z x = self.conv_dw(x) 2025-08-14T21:50:49.8917205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8917591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8917976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8918356Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8918738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8919095Z return conv2d_same( 2025-08-14T21:50:49.8919438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.8919883Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.8920086Z 2025-08-14T21:50:49.8920228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8920617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8920968Z return mod(*inputs) 2025-08-14T21:50:49.8921365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8921762Z x = self.forward_features(x) 2025-08-14T21:50:49.8922151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8922537Z x = self.blocks(x) 2025-08-14T21:50:49.8922898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8923278Z x = self.conv_dw(x) 2025-08-14T21:50:49.8923605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8924012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8924419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8924822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8925209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8925566Z return conv2d_same( 2025-08-14T21:50:49.8925907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.8926329Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.8926530Z 2025-08-14T21:50:49.8926642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8927044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8927396Z return mod(*inputs) 2025-08-14T21:50:49.8927737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8928110Z x = self.forward_features(x) 2025-08-14T21:50:49.8928504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8928886Z x = self.blocks(x) 2025-08-14T21:50:49.8929242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8929668Z x = self.conv_dw(x) 2025-08-14T21:50:49.8930006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8930398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8930811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8931218Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8931611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8931957Z return conv2d_same( 2025-08-14T21:50:49.8932300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.8932708Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.8933088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.8933519Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.8933940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.8934323Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.8934488Z 2025-08-14T21:50:49.8934598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8935008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8935360Z return mod(*inputs) 2025-08-14T21:50:49.8935691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8936084Z x = self.forward_features(x) 2025-08-14T21:50:49.8936577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8936973Z x = self.blocks(x) 2025-08-14T21:50:49.8937329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8937714Z x = self.conv_dw(x) 2025-08-14T21:50:49.8938054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8938459Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8938860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8939271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8939673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8940018Z return conv2d_same( 2025-08-14T21:50:49.8940367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.8940816Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.8941013Z 2025-08-14T21:50:49.8941137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8941513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8941886Z return mod(*inputs) 2025-08-14T21:50:49.8942229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8942587Z x = self.forward_features(x) 2025-08-14T21:50:49.8942945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8943320Z x = self.blocks(x) 2025-08-14T21:50:49.8943659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8944018Z x = self.conv_dw(x) 2025-08-14T21:50:49.8944336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8944709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8945092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8945474Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8945851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8946184Z return conv2d_same( 2025-08-14T21:50:49.8946501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.8946922Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.8947104Z 2025-08-14T21:50:49.8947217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8947580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8947900Z return mod(*inputs) 2025-08-14T21:50:49.8948221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8948574Z x = self.forward_features(x) 2025-08-14T21:50:49.8948955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8949318Z x = self.blocks(x) 2025-08-14T21:50:49.8949654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8950011Z x = self.conv_dw(x) 2025-08-14T21:50:49.8950337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8950728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8951119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8951516Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8951904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8952238Z return conv2d_same( 2025-08-14T21:50:49.8952566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.8952998Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.8953377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.8953794Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.8954192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.8954548Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.8954715Z 2025-08-14T21:50:49.8954826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8955192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8955517Z return mod(*inputs) 2025-08-14T21:50:49.8955874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8956231Z x = self.forward_features(x) 2025-08-14T21:50:49.8956593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8956969Z x = self.blocks(x) 2025-08-14T21:50:49.8957324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8957674Z x = self.conv_dw(x) 2025-08-14T21:50:49.8957976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8958404Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8958791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8959185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8959561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8959906Z return conv2d_same( 2025-08-14T21:50:49.8960243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.8960649Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.8960838Z 2025-08-14T21:50:49.8960949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8961312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8961652Z return mod(*inputs) 2025-08-14T21:50:49.8961983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8962354Z x = self.forward_features(x) 2025-08-14T21:50:49.8962740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8963143Z x = self.blocks(x) 2025-08-14T21:50:49.8963512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8963881Z x = self.conv_dw(x) 2025-08-14T21:50:49.8964199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8964586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8964984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8965368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8965740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.8966093Z return conv2d_same( 2025-08-14T21:50:49.8966439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.8966879Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.8967075Z 2025-08-14T21:50:49.8967169Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8967399Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8967628Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8967884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8968250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8968596Z return mod(*inputs) 2025-08-14T21:50:49.8968943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8969312Z x = self.forward_features(x) 2025-08-14T21:50:49.8969714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8970088Z x = self.blocks(x) 2025-08-14T21:50:49.8970431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.8970785Z x = self.conv_dw(x) 2025-08-14T21:50:49.8971101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.8971448Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.8971570Z 2025-08-14T21:50:49.8971685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8972072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8972418Z return mod(*inputs) 2025-08-14T21:50:49.8972785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8973154Z x = self.forward_features(x) 2025-08-14T21:50:49.8973542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8973930Z x = self.blocks(x) 2025-08-14T21:50:49.8974274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.8974663Z x = self.bn2(x) 2025-08-14T21:50:49.8974985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.8975328Z x = self.act(x) 2025-08-14T21:50:49.8975428Z 2025-08-14T21:50:49.8975514Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8975770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8976159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8976689Z return mod(*inputs) 2025-08-14T21:50:49.8977054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8977457Z x = self.forward_features(x) 2025-08-14T21:50:49.8977890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8978250Z x = self.blocks(x) 2025-08-14T21:50:49.8978582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.8978969Z x = self.conv_pwl(x) 2025-08-14T21:50:49.8979307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8979724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8980126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8980549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8980719Z 2025-08-14T21:50:49.8980830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8981209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8981531Z return mod(*inputs) 2025-08-14T21:50:49.8981842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8982195Z x = self.forward_features(x) 2025-08-14T21:50:49.8982557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8982921Z x = self.blocks(x) 2025-08-14T21:50:49.8983245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.8983604Z x = self.conv_pwl(x) 2025-08-14T21:50:49.8983930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8984337Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8984746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8985128Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8985287Z 2025-08-14T21:50:49.8985377Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8985619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8986001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8986367Z return mod(*inputs) 2025-08-14T21:50:49.8986699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8987040Z x = self.forward_features(x) 2025-08-14T21:50:49.8987400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8987819Z x = self.blocks(x) 2025-08-14T21:50:49.8988148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.8988506Z x = self.conv_pwl(x) 2025-08-14T21:50:49.8988825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8989210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8989585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8989968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8990133Z 2025-08-14T21:50:49.8990252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8990627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8990972Z return mod(*inputs) 2025-08-14T21:50:49.8991312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8991682Z x = self.forward_features(x) 2025-08-14T21:50:49.8992068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8992461Z x = self.blocks(x) 2025-08-14T21:50:49.8992822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.8993218Z x = self.conv_pwl(x) 2025-08-14T21:50:49.8993575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.8993945Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8994324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.8994723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.8994905Z 2025-08-14T21:50:49.8994993Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8995221Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.8995468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8995850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.8996201Z return mod(*inputs) 2025-08-14T21:50:49.8996541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.8996904Z x = self.forward_features(x) 2025-08-14T21:50:49.8997283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.8997666Z x = self.blocks(x) 2025-08-14T21:50:49.8998010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.8998391Z x = self.conv_pwl(x) 2025-08-14T21:50:49.8998800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.8999168Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.8999292Z 2025-08-14T21:50:49.8999402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.8999809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9000168Z return mod(*inputs) 2025-08-14T21:50:49.9000509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9000876Z x = self.forward_features(x) 2025-08-14T21:50:49.9001264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9001648Z x = self.blocks(x) 2025-08-14T21:50:49.9001993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:50:49.9002365Z x = self.bn3(x) 2025-08-14T21:50:49.9002691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9003030Z x = F.batch_norm( 2025-08-14T21:50:49.9003144Z 2025-08-14T21:50:49.9003254Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9003640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9003980Z return mod(*inputs) 2025-08-14T21:50:49.9004313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9004678Z x = self.forward_features(x) 2025-08-14T21:50:49.9005064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9005445Z x = self.blocks(x) 2025-08-14T21:50:49.9005793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9006174Z x = self.conv_pw(x) 2025-08-14T21:50:49.9006527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9006922Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9007328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9007757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9007946Z 2025-08-14T21:50:49.9008068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9008455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9008807Z return mod(*inputs) 2025-08-14T21:50:49.9009151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9009523Z x = self.forward_features(x) 2025-08-14T21:50:49.9009913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9010305Z x = self.blocks(x) 2025-08-14T21:50:49.9010667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9011047Z x = self.conv_pw(x) 2025-08-14T21:50:49.9011382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9011951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9012364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9012801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9012980Z 2025-08-14T21:50:49.9013094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9013547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9013913Z return mod(*inputs) 2025-08-14T21:50:49.9014280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9014667Z x = self.forward_features(x) 2025-08-14T21:50:49.9015069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9015464Z x = self.blocks(x) 2025-08-14T21:50:49.9015835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9016300Z x = self.conv_pw(x) 2025-08-14T21:50:49.9016687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9017099Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9017526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9017947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9018128Z 2025-08-14T21:50:49.9018245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9018644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9019006Z return mod(*inputs) 2025-08-14T21:50:49.9019347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9019730Z x = self.forward_features(x) 2025-08-14T21:50:49.9020120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9020512Z x = self.blocks(x) 2025-08-14T21:50:49.9020866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9021254Z x = self.conv_pw(x) 2025-08-14T21:50:49.9021627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9022032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9022454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9022897Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9023104Z 2025-08-14T21:50:49.9023200Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9023438Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9023695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9024082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9024422Z return mod(*inputs) 2025-08-14T21:50:49.9024763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9025142Z x = self.forward_features(x) 2025-08-14T21:50:49.9025521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9025903Z x = self.blocks(x) 2025-08-14T21:50:49.9026260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9026619Z x = self.conv_pw(x) 2025-08-14T21:50:49.9026946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9027302Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9027430Z 2025-08-14T21:50:49.9027539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9027923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9028258Z return mod(*inputs) 2025-08-14T21:50:49.9028630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9029000Z x = self.forward_features(x) 2025-08-14T21:50:49.9029382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9029764Z x = self.blocks(x) 2025-08-14T21:50:49.9030118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9030499Z x = self.bn1(x) 2025-08-14T21:50:49.9030812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9031156Z x = self.act(x) 2025-08-14T21:50:49.9031256Z 2025-08-14T21:50:49.9031375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9031760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9032096Z return mod(*inputs) 2025-08-14T21:50:49.9032441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9032808Z x = self.forward_features(x) 2025-08-14T21:50:49.9033159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9033530Z x = self.blocks(x) 2025-08-14T21:50:49.9033865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.9034226Z x = self.bn2(x) 2025-08-14T21:50:49.9034517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9034839Z x = self.act(x) 2025-08-14T21:50:49.9034933Z 2025-08-14T21:50:49.9035054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9035433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9035775Z return mod(*inputs) 2025-08-14T21:50:49.9036134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9036504Z x = self.forward_features(x) 2025-08-14T21:50:49.9036879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9037288Z x = self.blocks(x) 2025-08-14T21:50:49.9037661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.9038026Z x = self.bn2(x) 2025-08-14T21:50:49.9038346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9038684Z x = self.act(x) 2025-08-14T21:50:49.9038775Z 2025-08-14T21:50:49.9038884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9039239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9039576Z return mod(*inputs) 2025-08-14T21:50:49.9039913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9040271Z x = self.forward_features(x) 2025-08-14T21:50:49.9040655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9041050Z x = self.blocks(x) 2025-08-14T21:50:49.9041407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9041798Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9042152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9042564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9042994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9043406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9043583Z 2025-08-14T21:50:49.9043694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9044081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9044426Z return mod(*inputs) 2025-08-14T21:50:49.9044769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9045140Z x = self.forward_features(x) 2025-08-14T21:50:49.9045516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9045908Z x = self.blocks(x) 2025-08-14T21:50:49.9046267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9046650Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9046987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9047384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9047787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9048191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9048361Z 2025-08-14T21:50:49.9048471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9048859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9049204Z return mod(*inputs) 2025-08-14T21:50:49.9049537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9049910Z x = self.forward_features(x) 2025-08-14T21:50:49.9050315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9050712Z x = self.blocks(x) 2025-08-14T21:50:49.9051064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9051481Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9051836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9052263Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9052683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9053093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9053288Z 2025-08-14T21:50:49.9053410Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9053800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9054167Z return mod(*inputs) 2025-08-14T21:50:49.9054514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9054892Z x = self.forward_features(x) 2025-08-14T21:50:49.9055290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9055688Z x = self.blocks(x) 2025-08-14T21:50:49.9056057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9056554Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9056925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9057336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9057777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9058210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9058401Z 2025-08-14T21:50:49.9058491Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9058735Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9058994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9059388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9059755Z return mod(*inputs) 2025-08-14T21:50:49.9060099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9060491Z x = self.forward_features(x) 2025-08-14T21:50:49.9060892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9061294Z x = self.blocks(x) 2025-08-14T21:50:49.9061651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9062049Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9062404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9062776Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9062912Z 2025-08-14T21:50:49.9063028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9063438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9063802Z return mod(*inputs) 2025-08-14T21:50:49.9064145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9064524Z x = self.forward_features(x) 2025-08-14T21:50:49.9064925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9065291Z x = self.blocks(x) 2025-08-14T21:50:49.9065625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9065988Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9066113Z 2025-08-14T21:50:49.9066219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9066583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9066924Z return mod(*inputs) 2025-08-14T21:50:49.9067236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9067573Z x = self.forward_features(x) 2025-08-14T21:50:49.9067919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9068274Z x = self.blocks(x) 2025-08-14T21:50:49.9068599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9068944Z x = self.bn1(x) 2025-08-14T21:50:49.9069259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9069575Z x = self.act(x) 2025-08-14T21:50:49.9069667Z 2025-08-14T21:50:49.9069777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9070125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9070442Z return mod(*inputs) 2025-08-14T21:50:49.9070750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9071082Z x = self.forward_features(x) 2025-08-14T21:50:49.9071431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9071785Z x = self.blocks(x) 2025-08-14T21:50:49.9072124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9072473Z x = self.bn1(x) 2025-08-14T21:50:49.9072767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9073086Z x = self.act(x) 2025-08-14T21:50:49.9073178Z 2025-08-14T21:50:49.9073279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9073630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9073949Z return mod(*inputs) 2025-08-14T21:50:49.9074262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9074596Z x = self.forward_features(x) 2025-08-14T21:50:49.9074948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9075301Z x = self.blocks(x) 2025-08-14T21:50:49.9075624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9075972Z x = self.conv_dw(x) 2025-08-14T21:50:49.9076281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9076662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9077033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9077416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9077781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9078100Z return conv2d_same( 2025-08-14T21:50:49.9078421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9078803Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9079189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9079595Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9080014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9080368Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9080555Z 2025-08-14T21:50:49.9080666Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9081024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9081352Z return mod(*inputs) 2025-08-14T21:50:49.9081674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9082011Z x = self.forward_features(x) 2025-08-14T21:50:49.9082371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9082729Z x = self.blocks(x) 2025-08-14T21:50:49.9083063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9083418Z x = self.conv_dw(x) 2025-08-14T21:50:49.9083729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9084105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9084480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9084864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9085249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9085586Z return conv2d_same( 2025-08-14T21:50:49.9085905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9086317Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9086500Z 2025-08-14T21:50:49.9086612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9086968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9087296Z return mod(*inputs) 2025-08-14T21:50:49.9087613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9087962Z x = self.forward_features(x) 2025-08-14T21:50:49.9088313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9088677Z x = self.blocks(x) 2025-08-14T21:50:49.9089014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9089364Z x = self.conv_dw(x) 2025-08-14T21:50:49.9089673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9090045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9090429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9090826Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9091221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9091569Z return conv2d_same( 2025-08-14T21:50:49.9091906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9092338Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9092529Z 2025-08-14T21:50:49.9092651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9093028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9093347Z return mod(*inputs) 2025-08-14T21:50:49.9093667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9094036Z x = self.forward_features(x) 2025-08-14T21:50:49.9094419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9094784Z x = self.blocks(x) 2025-08-14T21:50:49.9095133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9095513Z x = self.conv_dw(x) 2025-08-14T21:50:49.9095839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9096319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9096742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9097129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9097499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9097837Z return conv2d_same( 2025-08-14T21:50:49.9098171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9098554Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9098907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9099326Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9099715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9100054Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9100214Z 2025-08-14T21:50:49.9100317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9100675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9101001Z return mod(*inputs) 2025-08-14T21:50:49.9101312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9101661Z x = self.forward_features(x) 2025-08-14T21:50:49.9102026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9102382Z x = self.blocks(x) 2025-08-14T21:50:49.9102721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9103078Z x = self.conv_dw(x) 2025-08-14T21:50:49.9103401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9103757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9104129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9104499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9104849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9105171Z return conv2d_same( 2025-08-14T21:50:49.9105486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9105883Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9106059Z 2025-08-14T21:50:49.9106162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9106534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9106858Z return mod(*inputs) 2025-08-14T21:50:49.9107161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9107530Z x = self.forward_features(x) 2025-08-14T21:50:49.9107911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9108265Z x = self.blocks(x) 2025-08-14T21:50:49.9108584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9108934Z x = self.conv_dw(x) 2025-08-14T21:50:49.9109242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9109607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9109985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9110358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9110719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9111042Z return conv2d_same( 2025-08-14T21:50:49.9111360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9111948Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9112130Z 2025-08-14T21:50:49.9112242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9112595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9112973Z return mod(*inputs) 2025-08-14T21:50:49.9113285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9113613Z x = self.forward_features(x) 2025-08-14T21:50:49.9113952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9114294Z x = self.blocks(x) 2025-08-14T21:50:49.9114610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9114945Z x = self.conv_dw(x) 2025-08-14T21:50:49.9115247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9115610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9115962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9116326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9116678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9116993Z return conv2d_same( 2025-08-14T21:50:49.9117288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9117649Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9117992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9118373Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9118737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9119076Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9119221Z 2025-08-14T21:50:49.9119330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9119695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9120011Z return mod(*inputs) 2025-08-14T21:50:49.9120323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9120687Z x = self.forward_features(x) 2025-08-14T21:50:49.9121028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9121399Z x = self.blocks(x) 2025-08-14T21:50:49.9121719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9122053Z x = self.conv_dw(x) 2025-08-14T21:50:49.9122355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9122716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9123079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9123436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9123784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9124102Z return conv2d_same( 2025-08-14T21:50:49.9124401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9124792Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9124969Z 2025-08-14T21:50:49.9125067Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9125418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9125723Z return mod(*inputs) 2025-08-14T21:50:49.9126046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9126393Z x = self.forward_features(x) 2025-08-14T21:50:49.9126739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9127090Z x = self.blocks(x) 2025-08-14T21:50:49.9127412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9127755Z x = self.conv_dw(x) 2025-08-14T21:50:49.9128044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9128400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9128761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9129122Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9129472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9129781Z return conv2d_same( 2025-08-14T21:50:49.9130086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9130464Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9130644Z 2025-08-14T21:50:49.9130743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9131099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9131428Z return mod(*inputs) 2025-08-14T21:50:49.9131752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9132121Z x = self.forward_features(x) 2025-08-14T21:50:49.9132509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9132898Z x = self.blocks(x) 2025-08-14T21:50:49.9133252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9133615Z x = self.conv_dw(x) 2025-08-14T21:50:49.9133928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9134332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9134760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9135164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9135550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9135907Z return conv2d_same( 2025-08-14T21:50:49.9136329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9136752Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9137135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9137540Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9137920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9138257Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9138407Z 2025-08-14T21:50:49.9138509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9138857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9139168Z return mod(*inputs) 2025-08-14T21:50:49.9139484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9139820Z x = self.forward_features(x) 2025-08-14T21:50:49.9140166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9140513Z x = self.blocks(x) 2025-08-14T21:50:49.9140834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9141187Z x = self.conv_dw(x) 2025-08-14T21:50:49.9141489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9141836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9142200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9142562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9142914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9143223Z return conv2d_same( 2025-08-14T21:50:49.9143532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9143919Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9144093Z 2025-08-14T21:50:49.9144201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9144541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9144850Z return mod(*inputs) 2025-08-14T21:50:49.9145154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9145475Z x = self.forward_features(x) 2025-08-14T21:50:49.9145818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9146163Z x = self.blocks(x) 2025-08-14T21:50:49.9146497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9146830Z x = self.conv_dw(x) 2025-08-14T21:50:49.9147132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9147508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9147889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9148254Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9148603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9148924Z return conv2d_same( 2025-08-14T21:50:49.9149226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9149613Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9149786Z 2025-08-14T21:50:49.9149873Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9150074Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9150282Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9150489Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9150718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9151056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9151369Z return mod(*inputs) 2025-08-14T21:50:49.9151675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9152004Z x = self.forward_features(x) 2025-08-14T21:50:49.9152374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9152736Z x = self.blocks(x) 2025-08-14T21:50:49.9153061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9153400Z x = self.conv_dw(x) 2025-08-14T21:50:49.9153706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9154048Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9154155Z 2025-08-14T21:50:49.9154256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9154601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9154906Z return mod(*inputs) 2025-08-14T21:50:49.9155207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9155530Z x = self.forward_features(x) 2025-08-14T21:50:49.9155877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9156226Z x = self.blocks(x) 2025-08-14T21:50:49.9156534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.9156874Z x = self.bn2(x) 2025-08-14T21:50:49.9157161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9157475Z x = F.batch_norm( 2025-08-14T21:50:49.9157573Z 2025-08-14T21:50:49.9157673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9158020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9158332Z return mod(*inputs) 2025-08-14T21:50:49.9158629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9158959Z x = self.forward_features(x) 2025-08-14T21:50:49.9159322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9159672Z x = self.blocks(x) 2025-08-14T21:50:49.9159980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.9160316Z x = self.bn2(x) 2025-08-14T21:50:49.9160642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9160989Z x = self.act(x) 2025-08-14T21:50:49.9161087Z 2025-08-14T21:50:49.9161188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9161584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9161897Z return mod(*inputs) 2025-08-14T21:50:49.9162203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9162526Z x = self.forward_features(x) 2025-08-14T21:50:49.9162862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9163189Z x = self.blocks(x) 2025-08-14T21:50:49.9163497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9163832Z x = self.se(x) 2025-08-14T21:50:49.9164135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9164465Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9164575Z 2025-08-14T21:50:49.9164672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9165010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9165307Z return mod(*inputs) 2025-08-14T21:50:49.9165630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9165970Z x = self.forward_features(x) 2025-08-14T21:50:49.9166313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9166650Z x = self.blocks(x) 2025-08-14T21:50:49.9166972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9167301Z x = self.se(x) 2025-08-14T21:50:49.9167592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9167921Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9168031Z 2025-08-14T21:50:49.9168127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9168469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9168792Z return mod(*inputs) 2025-08-14T21:50:49.9169095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9169433Z x = self.forward_features(x) 2025-08-14T21:50:49.9169765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9170107Z x = self.blocks(x) 2025-08-14T21:50:49.9170428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9170761Z x = self.se(x) 2025-08-14T21:50:49.9171059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9171401Z return x * self.gate(x_se) 2025-08-14T21:50:49.9171513Z 2025-08-14T21:50:49.9171618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9171962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9172270Z return mod(*inputs) 2025-08-14T21:50:49.9172608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9172950Z x = self.forward_features(x) 2025-08-14T21:50:49.9173294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9173669Z x = self.blocks(x) 2025-08-14T21:50:49.9173997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9174357Z x = self.se(x) 2025-08-14T21:50:49.9174702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9175075Z return x * self.gate(x_se) 2025-08-14T21:50:49.9175189Z 2025-08-14T21:50:49.9175298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9175646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9175965Z return mod(*inputs) 2025-08-14T21:50:49.9176381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9176732Z x = self.forward_features(x) 2025-08-14T21:50:49.9177098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9177477Z x = self.blocks(x) 2025-08-14T21:50:49.9177799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9178129Z x = self.se(x) 2025-08-14T21:50:49.9178437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9178787Z return x * self.gate(x_se) 2025-08-14T21:50:49.9178901Z 2025-08-14T21:50:49.9179009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9179387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9179711Z return mod(*inputs) 2025-08-14T21:50:49.9180029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9180363Z x = self.forward_features(x) 2025-08-14T21:50:49.9180717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9181075Z x = self.blocks(x) 2025-08-14T21:50:49.9181394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9181744Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9181859Z 2025-08-14T21:50:49.9181959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9182316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9182628Z return mod(*inputs) 2025-08-14T21:50:49.9182949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9183291Z x = self.forward_features(x) 2025-08-14T21:50:49.9183639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9183985Z x = self.blocks(x) 2025-08-14T21:50:49.9184312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9184667Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9184771Z 2025-08-14T21:50:49.9184870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9185227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9185540Z return mod(*inputs) 2025-08-14T21:50:49.9185850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9186184Z x = self.forward_features(x) 2025-08-14T21:50:49.9186576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9186934Z x = self.blocks(x) 2025-08-14T21:50:49.9187251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9187622Z x = self.conv_pw(x) 2025-08-14T21:50:49.9187955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9188326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9188699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9189086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9189236Z 2025-08-14T21:50:49.9189347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9189687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9189996Z return mod(*inputs) 2025-08-14T21:50:49.9190302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9190648Z x = self.forward_features(x) 2025-08-14T21:50:49.9190983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9191330Z x = self.blocks(x) 2025-08-14T21:50:49.9191645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9191976Z x = self.conv_pw(x) 2025-08-14T21:50:49.9192281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9192656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9193031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9193387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9193547Z 2025-08-14T21:50:49.9193645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9194003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9194314Z return mod(*inputs) 2025-08-14T21:50:49.9194612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9194946Z x = self.forward_features(x) 2025-08-14T21:50:49.9195292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9195632Z x = self.blocks(x) 2025-08-14T21:50:49.9195950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9196294Z x = self.conv_pw(x) 2025-08-14T21:50:49.9196598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9196945Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9197315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9197688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9197834Z 2025-08-14T21:50:49.9197931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9198270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9198574Z return mod(*inputs) 2025-08-14T21:50:49.9198877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9199205Z x = self.forward_features(x) 2025-08-14T21:50:49.9199564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9199909Z x = self.blocks(x) 2025-08-14T21:50:49.9200220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9200582Z x = self.conv_pw(x) 2025-08-14T21:50:49.9200910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9201275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9201642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9202011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9202165Z 2025-08-14T21:50:49.9202263Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9202463Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9202696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9203044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9203349Z return mod(*inputs) 2025-08-14T21:50:49.9203649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9203982Z x = self.forward_features(x) 2025-08-14T21:50:49.9204327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9204664Z x = self.blocks(x) 2025-08-14T21:50:49.9204983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9205323Z x = self.conv_pw(x) 2025-08-14T21:50:49.9205649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9205995Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9206117Z 2025-08-14T21:50:49.9206222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9206592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9206918Z return mod(*inputs) 2025-08-14T21:50:49.9207230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9207572Z x = self.forward_features(x) 2025-08-14T21:50:49.9207936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9208278Z x = self.blocks(x) 2025-08-14T21:50:49.9208601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9208951Z x = self.bn1(x) 2025-08-14T21:50:49.9209241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9209565Z x = F.batch_norm( 2025-08-14T21:50:49.9209668Z 2025-08-14T21:50:49.9209769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9210125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9210443Z return mod(*inputs) 2025-08-14T21:50:49.9210769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9211118Z x = self.forward_features(x) 2025-08-14T21:50:49.9211473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9212016Z x = self.blocks(x) 2025-08-14T21:50:49.9212358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9212709Z x = self.bn1(x) 2025-08-14T21:50:49.9213049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9213385Z x = self.act(x) 2025-08-14T21:50:49.9213475Z 2025-08-14T21:50:49.9213562Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9213824Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9214186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9214544Z return mod(*inputs) 2025-08-14T21:50:49.9214859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9215190Z x = self.forward_features(x) 2025-08-14T21:50:49.9215550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9215914Z x = self.blocks(x) 2025-08-14T21:50:49.9216308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9216697Z x = self.conv_dw(x) 2025-08-14T21:50:49.9217015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9217406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9217791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9218171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9218323Z 2025-08-14T21:50:49.9218431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9218776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9219084Z return mod(*inputs) 2025-08-14T21:50:49.9219426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9219772Z x = self.forward_features(x) 2025-08-14T21:50:49.9220127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9220487Z x = self.blocks(x) 2025-08-14T21:50:49.9220818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9221178Z x = self.conv_dw(x) 2025-08-14T21:50:49.9221477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9221836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9222201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9222562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9222724Z 2025-08-14T21:50:49.9222807Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9223049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9223247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9223320Z return mod(*inputs) 2025-08-14T21:50:49.9223530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9223603Z x = self.forward_features(x) 2025-08-14T21:50:49.9223842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9223905Z x = self.blocks(x) 2025-08-14T21:50:49.9224124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9224197Z x = self.conv_dw(x) 2025-08-14T21:50:49.9224399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9224507Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9224734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9224834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9224853Z 2025-08-14T21:50:49.9224962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9225149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9225251Z return mod(*inputs) 2025-08-14T21:50:49.9225453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9225521Z x = self.forward_features(x) 2025-08-14T21:50:49.9225752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9225813Z x = self.blocks(x) 2025-08-14T21:50:49.9226030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9226099Z x = self.conv_dw(x) 2025-08-14T21:50:49.9226296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9226403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9226607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9226705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9226708Z 2025-08-14T21:50:49.9226794Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9226870Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9226970Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9227193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9227257Z return mod(*inputs) 2025-08-14T21:50:49.9227468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9227535Z x = self.forward_features(x) 2025-08-14T21:50:49.9227761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9227830Z x = self.blocks(x) 2025-08-14T21:50:49.9228049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9228110Z x = self.conv_dw(x) 2025-08-14T21:50:49.9228314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9228380Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9228384Z 2025-08-14T21:50:49.9228466Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9228565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9228754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9228822Z return mod(*inputs) 2025-08-14T21:50:49.9229026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9229094Z x = self.forward_features(x) 2025-08-14T21:50:49.9229326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9229388Z x = self.blocks(x) 2025-08-14T21:50:49.9229613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9229670Z x = self.se(x) 2025-08-14T21:50:49.9229888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9229971Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9229974Z 2025-08-14T21:50:49.9230085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9230284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9230346Z return mod(*inputs) 2025-08-14T21:50:49.9230552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9230643Z x = self.forward_features(x) 2025-08-14T21:50:49.9230890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9230951Z x = self.blocks(x) 2025-08-14T21:50:49.9231184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9231243Z x = self.se(x) 2025-08-14T21:50:49.9231471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9231538Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9231541Z 2025-08-14T21:50:49.9231639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9231834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9231895Z return mod(*inputs) 2025-08-14T21:50:49.9232097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9232173Z x = self.forward_features(x) 2025-08-14T21:50:49.9232398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9232467Z x = self.blocks(x) 2025-08-14T21:50:49.9232682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9232741Z x = self.se(x) 2025-08-14T21:50:49.9232978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9233046Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9233049Z 2025-08-14T21:50:49.9233148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9233345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9233409Z return mod(*inputs) 2025-08-14T21:50:49.9233619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9233688Z x = self.forward_features(x) 2025-08-14T21:50:49.9233910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9233980Z x = self.blocks(x) 2025-08-14T21:50:49.9234196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9234255Z x = self.se(x) 2025-08-14T21:50:49.9234475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9234542Z return x * self.gate(x_se) 2025-08-14T21:50:49.9234545Z 2025-08-14T21:50:49.9234650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9234839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9234900Z return mod(*inputs) 2025-08-14T21:50:49.9235111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9235180Z x = self.forward_features(x) 2025-08-14T21:50:49.9235411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9235473Z x = self.blocks(x) 2025-08-14T21:50:49.9235690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9235756Z x = self.se(x) 2025-08-14T21:50:49.9235984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9236052Z return x * self.gate(x_se) 2025-08-14T21:50:49.9236055Z 2025-08-14T21:50:49.9236160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9236365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9236450Z return mod(*inputs) 2025-08-14T21:50:49.9236657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9236723Z x = self.forward_features(x) 2025-08-14T21:50:49.9236955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9237015Z x = self.blocks(x) 2025-08-14T21:50:49.9237235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9237303Z x = self.se(x) 2025-08-14T21:50:49.9237519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9237593Z return x * self.gate(x_se) 2025-08-14T21:50:49.9237598Z 2025-08-14T21:50:49.9237674Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9237772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9237971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9238033Z return mod(*inputs) 2025-08-14T21:50:49.9238247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9238320Z x = self.forward_features(x) 2025-08-14T21:50:49.9238557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9238626Z x = self.blocks(x) 2025-08-14T21:50:49.9238848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9238914Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9239123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9239226Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9239438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9239545Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9239548Z 2025-08-14T21:50:49.9239646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9239845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9239908Z return mod(*inputs) 2025-08-14T21:50:49.9240119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9240194Z x = self.forward_features(x) 2025-08-14T21:50:49.9240415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9240481Z x = self.blocks(x) 2025-08-14T21:50:49.9240692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9240757Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9240956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9241052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9241260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9241366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9241370Z 2025-08-14T21:50:49.9241463Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9241568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9241752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9241830Z return mod(*inputs) 2025-08-14T21:50:49.9242041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9242125Z x = self.forward_features(x) 2025-08-14T21:50:49.9242346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9242416Z x = self.blocks(x) 2025-08-14T21:50:49.9242629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9242700Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9242906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9243002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9243209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9243305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9243309Z 2025-08-14T21:50:49.9243412Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9243595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9243657Z return mod(*inputs) 2025-08-14T21:50:49.9243858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9243925Z x = self.forward_features(x) 2025-08-14T21:50:49.9244159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9244229Z x = self.blocks(x) 2025-08-14T21:50:49.9244443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9244512Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9244709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9244805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9245015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9245108Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9245111Z 2025-08-14T21:50:49.9245184Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9245263Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9245359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9245554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9245614Z return mod(*inputs) 2025-08-14T21:50:49.9245815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9245894Z x = self.forward_features(x) 2025-08-14T21:50:49.9246121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9246183Z x = self.blocks(x) 2025-08-14T21:50:49.9246408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9246472Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9246679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9246747Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9246751Z 2025-08-14T21:50:49.9246847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9247061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9247125Z return mod(*inputs) 2025-08-14T21:50:49.9247333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9247417Z x = self.forward_features(x) 2025-08-14T21:50:49.9247677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9247746Z x = self.blocks(x) 2025-08-14T21:50:49.9247962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9248035Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9248038Z 2025-08-14T21:50:49.9248144Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9248333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9248404Z return mod(*inputs) 2025-08-14T21:50:49.9248604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9248672Z x = self.forward_features(x) 2025-08-14T21:50:49.9248903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9248966Z x = self.blocks(x) 2025-08-14T21:50:49.9249178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9249248Z x = self.conv_pw(x) 2025-08-14T21:50:49.9249445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9249549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9249772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9249872Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9249875Z 2025-08-14T21:50:49.9249979Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9250167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9250231Z return mod(*inputs) 2025-08-14T21:50:49.9250442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9250511Z x = self.forward_features(x) 2025-08-14T21:50:49.9250750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9250812Z x = self.blocks(x) 2025-08-14T21:50:49.9251035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9251106Z x = self.conv_pw(x) 2025-08-14T21:50:49.9251313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9251419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9251631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9251731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9251736Z 2025-08-14T21:50:49.9251843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9252034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9252099Z return mod(*inputs) 2025-08-14T21:50:49.9252311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9252382Z x = self.forward_features(x) 2025-08-14T21:50:49.9252634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9252699Z x = self.blocks(x) 2025-08-14T21:50:49.9252923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9253011Z x = self.conv_pw(x) 2025-08-14T21:50:49.9253220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9253335Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9253555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9253653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9253656Z 2025-08-14T21:50:49.9253762Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9253955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9254020Z return mod(*inputs) 2025-08-14T21:50:49.9254235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9254304Z x = self.forward_features(x) 2025-08-14T21:50:49.9254549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9254612Z x = self.blocks(x) 2025-08-14T21:50:49.9254831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9254898Z x = self.conv_pw(x) 2025-08-14T21:50:49.9255102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9255200Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9255436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9255538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9255541Z 2025-08-14T21:50:49.9255630Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9255708Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9255812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9256019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9256086Z return mod(*inputs) 2025-08-14T21:50:49.9256388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9256475Z x = self.forward_features(x) 2025-08-14T21:50:49.9256712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9256786Z x = self.blocks(x) 2025-08-14T21:50:49.9257017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9257082Z x = self.conv_pw(x) 2025-08-14T21:50:49.9257300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9257370Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9257374Z 2025-08-14T21:50:49.9257476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9257681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9257747Z return mod(*inputs) 2025-08-14T21:50:49.9257965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9258036Z x = self.forward_features(x) 2025-08-14T21:50:49.9258284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9258357Z x = self.blocks(x) 2025-08-14T21:50:49.9259473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9259549Z x = self.bn1(x) 2025-08-14T21:50:49.9259761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9259846Z x = F.batch_norm( 2025-08-14T21:50:49.9259850Z 2025-08-14T21:50:49.9259980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9260179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9260244Z return mod(*inputs) 2025-08-14T21:50:49.9260466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9260539Z x = self.forward_features(x) 2025-08-14T21:50:49.9260782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9260847Z x = self.blocks(x) 2025-08-14T21:50:49.9261076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9261149Z x = self.bn1(x) 2025-08-14T21:50:49.9261350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9261417Z x = self.act(x) 2025-08-14T21:50:49.9261422Z 2025-08-14T21:50:49.9261509Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9261611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9261816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9261881Z return mod(*inputs) 2025-08-14T21:50:49.9262095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9262192Z x = self.forward_features(x) 2025-08-14T21:50:49.9262434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9262498Z x = self.blocks(x) 2025-08-14T21:50:49.9262733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9262799Z x = self.conv_dw(x) 2025-08-14T21:50:49.9263012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9263117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9263333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9263444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9263447Z 2025-08-14T21:50:49.9263548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9263747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9263822Z return mod(*inputs) 2025-08-14T21:50:49.9264034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9264110Z x = self.forward_features(x) 2025-08-14T21:50:49.9264352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9264415Z x = self.blocks(x) 2025-08-14T21:50:49.9264643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9264706Z x = self.conv_dw(x) 2025-08-14T21:50:49.9264907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9265012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9265222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9265341Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9265345Z 2025-08-14T21:50:49.9265424Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9265525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9265743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9265823Z return mod(*inputs) 2025-08-14T21:50:49.9266039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9266109Z x = self.forward_features(x) 2025-08-14T21:50:49.9266339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9266410Z x = self.blocks(x) 2025-08-14T21:50:49.9266638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9266703Z x = self.conv_dw(x) 2025-08-14T21:50:49.9266914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9267014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9267236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9267337Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9267340Z 2025-08-14T21:50:49.9267439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9267640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9267702Z return mod(*inputs) 2025-08-14T21:50:49.9267925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9268008Z x = self.forward_features(x) 2025-08-14T21:50:49.9268234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9268302Z x = self.blocks(x) 2025-08-14T21:50:49.9268517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9268579Z x = self.conv_dw(x) 2025-08-14T21:50:49.9268786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9268886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9269097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9269201Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9269204Z 2025-08-14T21:50:49.9269280Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9269363Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9269466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9269656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9269726Z return mod(*inputs) 2025-08-14T21:50:49.9269936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9270014Z x = self.forward_features(x) 2025-08-14T21:50:49.9270241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9270302Z x = self.blocks(x) 2025-08-14T21:50:49.9270528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9270590Z x = self.conv_dw(x) 2025-08-14T21:50:49.9270792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9270880Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9270884Z 2025-08-14T21:50:49.9270963Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9271070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9271261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9271349Z return mod(*inputs) 2025-08-14T21:50:49.9271586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9271654Z x = self.forward_features(x) 2025-08-14T21:50:49.9271885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9271957Z x = self.blocks(x) 2025-08-14T21:50:49.9272185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9272255Z x = self.se(x) 2025-08-14T21:50:49.9272491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9272567Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9272570Z 2025-08-14T21:50:49.9272678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9272873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9272937Z return mod(*inputs) 2025-08-14T21:50:49.9273154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9273222Z x = self.forward_features(x) 2025-08-14T21:50:49.9273458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9273520Z x = self.blocks(x) 2025-08-14T21:50:49.9273764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9273834Z x = self.se(x) 2025-08-14T21:50:49.9274052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9274120Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9274131Z 2025-08-14T21:50:49.9274230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9274418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9274489Z return mod(*inputs) 2025-08-14T21:50:49.9274693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9274761Z x = self.forward_features(x) 2025-08-14T21:50:49.9274994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9275056Z x = self.blocks(x) 2025-08-14T21:50:49.9275283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9275343Z x = self.se(x) 2025-08-14T21:50:49.9275560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9275635Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9275638Z 2025-08-14T21:50:49.9275735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9275936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9276004Z return mod(*inputs) 2025-08-14T21:50:49.9276209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9276282Z x = self.forward_features(x) 2025-08-14T21:50:49.9276509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9276569Z x = self.blocks(x) 2025-08-14T21:50:49.9276806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9276866Z x = self.se(x) 2025-08-14T21:50:49.9277079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9277171Z return x * self.gate(x_se) 2025-08-14T21:50:49.9277188Z 2025-08-14T21:50:49.9277287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9277482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9277544Z return mod(*inputs) 2025-08-14T21:50:49.9277751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9277826Z x = self.forward_features(x) 2025-08-14T21:50:49.9278054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9278116Z x = self.blocks(x) 2025-08-14T21:50:49.9278343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9278403Z x = self.se(x) 2025-08-14T21:50:49.9278632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9278701Z return x * self.gate(x_se) 2025-08-14T21:50:49.9278705Z 2025-08-14T21:50:49.9278804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9279005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9279067Z return mod(*inputs) 2025-08-14T21:50:49.9279271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9279365Z x = self.forward_features(x) 2025-08-14T21:50:49.9279596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9279665Z x = self.blocks(x) 2025-08-14T21:50:49.9279888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9279950Z x = self.se(x) 2025-08-14T21:50:49.9280176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9280246Z return x * self.gate(x_se) 2025-08-14T21:50:49.9280249Z 2025-08-14T21:50:49.9280334Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9280433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9280626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9280696Z return mod(*inputs) 2025-08-14T21:50:49.9280904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9280974Z x = self.forward_features(x) 2025-08-14T21:50:49.9281210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9281272Z x = self.blocks(x) 2025-08-14T21:50:49.9281500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9281566Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9281769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9281877Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9282087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9300552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9300568Z 2025-08-14T21:50:49.9300694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9301039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9301119Z return mod(*inputs) 2025-08-14T21:50:49.9301379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9301514Z x = self.forward_features(x) 2025-08-14T21:50:49.9301813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9301891Z x = self.blocks(x) 2025-08-14T21:50:49.9302133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9302206Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9302432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9302551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9302777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9302893Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9302899Z 2025-08-14T21:50:49.9302987Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9303101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9303322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9303390Z return mod(*inputs) 2025-08-14T21:50:49.9303615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9303691Z x = self.forward_features(x) 2025-08-14T21:50:49.9303965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9304039Z x = self.blocks(x) 2025-08-14T21:50:49.9304273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9304342Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9304557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9304665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9304892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9304994Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9304998Z 2025-08-14T21:50:49.9305107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9305321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9305389Z return mod(*inputs) 2025-08-14T21:50:49.9305610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9305684Z x = self.forward_features(x) 2025-08-14T21:50:49.9305921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9305995Z x = self.blocks(x) 2025-08-14T21:50:49.9306225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9306294Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9306512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9306613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9306837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9306939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9306943Z 2025-08-14T21:50:49.9307043Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9307134Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9307243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9307450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9307593Z return mod(*inputs) 2025-08-14T21:50:49.9307823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9307903Z x = self.forward_features(x) 2025-08-14T21:50:49.9308145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9308211Z x = self.blocks(x) 2025-08-14T21:50:49.9308454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9308522Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9308737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9308814Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9308819Z 2025-08-14T21:50:49.9308924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9309137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9309204Z return mod(*inputs) 2025-08-14T21:50:49.9309420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9309497Z x = self.forward_features(x) 2025-08-14T21:50:49.9309738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9309803Z x = self.blocks(x) 2025-08-14T21:50:49.9310060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9310141Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9310144Z 2025-08-14T21:50:49.9310262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9310462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9310540Z return mod(*inputs) 2025-08-14T21:50:49.9310756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9310826Z x = self.forward_features(x) 2025-08-14T21:50:49.9311060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9311122Z x = self.blocks(x) 2025-08-14T21:50:49.9311346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9311421Z x = self.conv_pw(x) 2025-08-14T21:50:49.9311807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9311920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9312143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9312247Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9312250Z 2025-08-14T21:50:49.9312362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9312556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9312621Z return mod(*inputs) 2025-08-14T21:50:49.9312832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9312902Z x = self.forward_features(x) 2025-08-14T21:50:49.9313130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9313253Z x = self.blocks(x) 2025-08-14T21:50:49.9313479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9313554Z x = self.conv_pw(x) 2025-08-14T21:50:49.9313781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9313903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9314123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9314224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9314227Z 2025-08-14T21:50:49.9314338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9314533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9314599Z return mod(*inputs) 2025-08-14T21:50:49.9314816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9314885Z x = self.forward_features(x) 2025-08-14T21:50:49.9315112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9315185Z x = self.blocks(x) 2025-08-14T21:50:49.9315410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9315481Z x = self.conv_pw(x) 2025-08-14T21:50:49.9315690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9315789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9316032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9316133Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9316139Z 2025-08-14T21:50:49.9316240Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9316440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9316506Z return mod(*inputs) 2025-08-14T21:50:49.9316718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9316789Z x = self.forward_features(x) 2025-08-14T21:50:49.9317016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9317084Z x = self.blocks(x) 2025-08-14T21:50:49.9317305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9317369Z x = self.conv_pw(x) 2025-08-14T21:50:49.9317578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9317675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9317891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9317990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9317993Z 2025-08-14T21:50:49.9318074Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9318159Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9318260Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9318462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9318524Z return mod(*inputs) 2025-08-14T21:50:49.9318733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9318809Z x = self.forward_features(x) 2025-08-14T21:50:49.9319056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9319119Z x = self.blocks(x) 2025-08-14T21:50:49.9319350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9319431Z x = self.conv_pw(x) 2025-08-14T21:50:49.9319648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9319733Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9319737Z 2025-08-14T21:50:49.9319839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9320039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9320104Z return mod(*inputs) 2025-08-14T21:50:49.9320316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9320399Z x = self.forward_features(x) 2025-08-14T21:50:49.9320634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9320703Z x = self.blocks(x) 2025-08-14T21:50:49.9320932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9320999Z x = self.bn1(x) 2025-08-14T21:50:49.9321211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9321286Z x = F.batch_norm( 2025-08-14T21:50:49.9321289Z 2025-08-14T21:50:49.9321388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9321583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9321646Z return mod(*inputs) 2025-08-14T21:50:49.9321870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9321943Z x = self.forward_features(x) 2025-08-14T21:50:49.9322176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9322249Z x = self.blocks(x) 2025-08-14T21:50:49.9322486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9322550Z x = self.bn1(x) 2025-08-14T21:50:49.9322752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9322813Z x = self.act(x) 2025-08-14T21:50:49.9322816Z 2025-08-14T21:50:49.9322903Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9323004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9323197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9323266Z return mod(*inputs) 2025-08-14T21:50:49.9323470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9323538Z x = self.forward_features(x) 2025-08-14T21:50:49.9323772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9323835Z x = self.blocks(x) 2025-08-14T21:50:49.9324058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9324120Z x = self.conv_dw(x) 2025-08-14T21:50:49.9324321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9324429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9324636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9324755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9324758Z 2025-08-14T21:50:49.9324859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9325048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9325133Z return mod(*inputs) 2025-08-14T21:50:49.9325335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9325419Z x = self.forward_features(x) 2025-08-14T21:50:49.9325654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9325717Z x = self.blocks(x) 2025-08-14T21:50:49.9325951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9326016Z x = self.conv_dw(x) 2025-08-14T21:50:49.9326229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9326337Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9326543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9326642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9326652Z 2025-08-14T21:50:49.9326732Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9326832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9327029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9327092Z return mod(*inputs) 2025-08-14T21:50:49.9327293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9327383Z x = self.forward_features(x) 2025-08-14T21:50:49.9327611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9327671Z x = self.blocks(x) 2025-08-14T21:50:49.9327892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9327956Z x = self.conv_dw(x) 2025-08-14T21:50:49.9328158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9328256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9328458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9328561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9328564Z 2025-08-14T21:50:49.9328661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9328856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9328920Z return mod(*inputs) 2025-08-14T21:50:49.9329120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9329196Z x = self.forward_features(x) 2025-08-14T21:50:49.9329418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9329479Z x = self.blocks(x) 2025-08-14T21:50:49.9329699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9329760Z x = self.conv_dw(x) 2025-08-14T21:50:49.9329962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9330058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9330261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9330387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9330390Z 2025-08-14T21:50:49.9330467Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9330543Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9330667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9330855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9330941Z return mod(*inputs) 2025-08-14T21:50:49.9331158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9331226Z x = self.forward_features(x) 2025-08-14T21:50:49.9331464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9331527Z x = self.blocks(x) 2025-08-14T21:50:49.9331749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9331819Z x = self.conv_dw(x) 2025-08-14T21:50:49.9332025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9332100Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9332104Z 2025-08-14T21:50:49.9332181Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9332283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9332485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9332548Z return mod(*inputs) 2025-08-14T21:50:49.9332761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9332830Z x = self.forward_features(x) 2025-08-14T21:50:49.9333076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9333147Z x = self.blocks(x) 2025-08-14T21:50:49.9333374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9333436Z x = self.se(x) 2025-08-14T21:50:49.9333667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9333744Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9333749Z 2025-08-14T21:50:49.9333862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9334056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9334120Z return mod(*inputs) 2025-08-14T21:50:49.9334336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9334407Z x = self.forward_features(x) 2025-08-14T21:50:49.9334638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9334709Z x = self.blocks(x) 2025-08-14T21:50:49.9334931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9337571Z x = self.se(x) 2025-08-14T21:50:49.9337838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9337919Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9337925Z 2025-08-14T21:50:49.9338049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9338263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9338326Z return mod(*inputs) 2025-08-14T21:50:49.9338544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9338613Z x = self.forward_features(x) 2025-08-14T21:50:49.9338876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9338939Z x = self.blocks(x) 2025-08-14T21:50:49.9339161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9339249Z x = self.se(x) 2025-08-14T21:50:49.9339477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9339566Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9339570Z 2025-08-14T21:50:49.9339673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9339881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9339943Z return mod(*inputs) 2025-08-14T21:50:49.9340169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9340247Z x = self.forward_features(x) 2025-08-14T21:50:49.9340483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9340553Z x = self.blocks(x) 2025-08-14T21:50:49.9340788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9340859Z x = self.se(x) 2025-08-14T21:50:49.9341112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9341190Z return x * self.gate(x_se) 2025-08-14T21:50:49.9341194Z 2025-08-14T21:50:49.9341311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9341525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9341612Z return mod(*inputs) 2025-08-14T21:50:49.9341852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9341926Z x = self.forward_features(x) 2025-08-14T21:50:49.9342176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9342253Z x = self.blocks(x) 2025-08-14T21:50:49.9342490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9342566Z x = self.se(x) 2025-08-14T21:50:49.9342802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9342878Z return x * self.gate(x_se) 2025-08-14T21:50:49.9342882Z 2025-08-14T21:50:49.9342999Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9343207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9343276Z return mod(*inputs) 2025-08-14T21:50:49.9343513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9343588Z x = self.forward_features(x) 2025-08-14T21:50:49.9343843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9343976Z x = self.blocks(x) 2025-08-14T21:50:49.9344222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9344295Z x = self.se(x) 2025-08-14T21:50:49.9344536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9344610Z return x * self.gate(x_se) 2025-08-14T21:50:49.9344613Z 2025-08-14T21:50:49.9344707Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9344819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9345056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9345127Z return mod(*inputs) 2025-08-14T21:50:49.9345356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9345442Z x = self.forward_features(x) 2025-08-14T21:50:49.9345692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9345777Z x = self.blocks(x) 2025-08-14T21:50:49.9346035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9346108Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9346342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9346457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9346694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9346813Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9346817Z 2025-08-14T21:50:49.9346927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9347154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9347224Z return mod(*inputs) 2025-08-14T21:50:49.9347452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9347535Z x = self.forward_features(x) 2025-08-14T21:50:49.9347789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9347857Z x = self.blocks(x) 2025-08-14T21:50:49.9348109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9348179Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9348388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9348488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9348697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9348803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9348806Z 2025-08-14T21:50:49.9348882Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9348982Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9349182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9349243Z return mod(*inputs) 2025-08-14T21:50:49.9349454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9349523Z x = self.forward_features(x) 2025-08-14T21:50:49.9349749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9349817Z x = self.blocks(x) 2025-08-14T21:50:49.9350038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9350136Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9350347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9350447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9350666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9350764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9350770Z 2025-08-14T21:50:49.9350871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9351086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9351151Z return mod(*inputs) 2025-08-14T21:50:49.9351365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9351437Z x = self.forward_features(x) 2025-08-14T21:50:49.9351663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9351748Z x = self.blocks(x) 2025-08-14T21:50:49.9351973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9352038Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9352252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9352353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9352579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9352679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9352682Z 2025-08-14T21:50:49.9352760Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9352857Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9352957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9353151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9353219Z return mod(*inputs) 2025-08-14T21:50:49.9353426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9353501Z x = self.forward_features(x) 2025-08-14T21:50:49.9353751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9353813Z x = self.blocks(x) 2025-08-14T21:50:49.9354039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9354103Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9354307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9354383Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9354387Z 2025-08-14T21:50:49.9354486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9354686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9354748Z return mod(*inputs) 2025-08-14T21:50:49.9354951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9355026Z x = self.forward_features(x) 2025-08-14T21:50:49.9355254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9355322Z x = self.blocks(x) 2025-08-14T21:50:49.9355548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9355625Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9355654Z 2025-08-14T21:50:49.9355752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9355940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9356012Z return mod(*inputs) 2025-08-14T21:50:49.9356219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9356295Z x = self.forward_features(x) 2025-08-14T21:50:49.9356543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9356606Z x = self.blocks(x) 2025-08-14T21:50:49.9356846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9356910Z x = self.bn1(x) 2025-08-14T21:50:49.9357108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9357178Z x = self.act(x) 2025-08-14T21:50:49.9357181Z 2025-08-14T21:50:49.9357297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9357498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9357562Z return mod(*inputs) 2025-08-14T21:50:49.9357787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9357863Z x = self.forward_features(x) 2025-08-14T21:50:49.9358110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9358179Z x = self.blocks(x) 2025-08-14T21:50:49.9358404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9358466Z x = self.bn1(x) 2025-08-14T21:50:49.9358669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9358733Z x = self.act(x) 2025-08-14T21:50:49.9358738Z 2025-08-14T21:50:49.9358836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9359036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9359099Z return mod(*inputs) 2025-08-14T21:50:49.9359311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9359379Z x = self.forward_features(x) 2025-08-14T21:50:49.9359641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9359709Z x = self.blocks(x) 2025-08-14T21:50:49.9359933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9359995Z x = self.conv_dw(x) 2025-08-14T21:50:49.9360206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9360311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9360530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9360634Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9360845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9360918Z return conv2d_same( 2025-08-14T21:50:49.9361151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9361255Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9361459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9361632Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9361827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9361925Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9361929Z 2025-08-14T21:50:49.9362029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9362229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9362293Z return mod(*inputs) 2025-08-14T21:50:49.9362506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9362593Z x = self.forward_features(x) 2025-08-14T21:50:49.9362825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9362894Z x = self.blocks(x) 2025-08-14T21:50:49.9363120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9363197Z x = self.conv_dw(x) 2025-08-14T21:50:49.9363430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9363532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9363768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9363869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9364075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9364146Z return conv2d_same( 2025-08-14T21:50:49.9364360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9364491Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9364504Z 2025-08-14T21:50:49.9364606Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9364805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9364871Z return mod(*inputs) 2025-08-14T21:50:49.9365071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9365138Z x = self.forward_features(x) 2025-08-14T21:50:49.9365383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9365444Z x = self.blocks(x) 2025-08-14T21:50:49.9365660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9365727Z x = self.conv_dw(x) 2025-08-14T21:50:49.9365920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9366024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9366227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9366320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9366519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9366577Z return conv2d_same( 2025-08-14T21:50:49.9366784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9366908Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9366912Z 2025-08-14T21:50:49.9367008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9367198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9367280Z return mod(*inputs) 2025-08-14T21:50:49.9367476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9367551Z x = self.forward_features(x) 2025-08-14T21:50:49.9367774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9367844Z x = self.blocks(x) 2025-08-14T21:50:49.9368059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9368119Z x = self.conv_dw(x) 2025-08-14T21:50:49.9368339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9368438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9368643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9368746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9368957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9369026Z return conv2d_same( 2025-08-14T21:50:49.9369228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9369326Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9369526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9369666Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9369855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9369952Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9369957Z 2025-08-14T21:50:49.9370055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9370253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9370315Z return mod(*inputs) 2025-08-14T21:50:49.9370515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9370593Z x = self.forward_features(x) 2025-08-14T21:50:49.9370841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9370912Z x = self.blocks(x) 2025-08-14T21:50:49.9371149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9371210Z x = self.conv_dw(x) 2025-08-14T21:50:49.9371416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9371515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9371727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9371830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9372027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9372095Z return conv2d_same( 2025-08-14T21:50:49.9372304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9372434Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9372438Z 2025-08-14T21:50:49.9372551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9372755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9372845Z return mod(*inputs) 2025-08-14T21:50:49.9373063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9373136Z x = self.forward_features(x) 2025-08-14T21:50:49.9373377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9373440Z x = self.blocks(x) 2025-08-14T21:50:49.9373671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9373744Z x = self.conv_dw(x) 2025-08-14T21:50:49.9373970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9374083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9374298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9374402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9374611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9374699Z return conv2d_same( 2025-08-14T21:50:49.9374924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9375057Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9375061Z 2025-08-14T21:50:49.9375164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9375372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9375438Z return mod(*inputs) 2025-08-14T21:50:49.9375654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9375732Z x = self.forward_features(x) 2025-08-14T21:50:49.9375975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9376047Z x = self.blocks(x) 2025-08-14T21:50:49.9376384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9376461Z x = self.conv_dw(x) 2025-08-14T21:50:49.9376688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9376795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9377051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9377172Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9377391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9377468Z return conv2d_same( 2025-08-14T21:50:49.9377700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9377812Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9378022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9378158Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9378340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9378443Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9378447Z 2025-08-14T21:50:49.9378547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9378742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9378805Z return mod(*inputs) 2025-08-14T21:50:49.9379024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9379101Z x = self.forward_features(x) 2025-08-14T21:50:49.9379325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9379393Z x = self.blocks(x) 2025-08-14T21:50:49.9379610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9379671Z x = self.conv_dw(x) 2025-08-14T21:50:49.9379873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9379987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9380194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9380297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9380498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9380582Z return conv2d_same( 2025-08-14T21:50:49.9380792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9380916Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9380919Z 2025-08-14T21:50:49.9381030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9381223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9381288Z return mod(*inputs) 2025-08-14T21:50:49.9381502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9381574Z x = self.forward_features(x) 2025-08-14T21:50:49.9381810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9381874Z x = self.blocks(x) 2025-08-14T21:50:49.9382097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9382169Z x = self.conv_dw(x) 2025-08-14T21:50:49.9382371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9382478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9382709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9382809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9383009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9383071Z return conv2d_same( 2025-08-14T21:50:49.9383275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9383406Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9383410Z 2025-08-14T21:50:49.9383489Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9383572Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9383648Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9383747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9383942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9384004Z return mod(*inputs) 2025-08-14T21:50:49.9384207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9384283Z x = self.forward_features(x) 2025-08-14T21:50:49.9384507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9384594Z x = self.blocks(x) 2025-08-14T21:50:49.9384818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9384882Z x = self.conv_dw(x) 2025-08-14T21:50:49.9385087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9385155Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9385158Z 2025-08-14T21:50:49.9385232Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9385340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9385541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9385612Z return mod(*inputs) 2025-08-14T21:50:49.9385813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9385881Z x = self.forward_features(x) 2025-08-14T21:50:49.9386111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9386186Z x = self.blocks(x) 2025-08-14T21:50:49.9386403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9386471Z x = self.se(x) 2025-08-14T21:50:49.9386687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9386765Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9386770Z 2025-08-14T21:50:49.9386870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9387060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9387129Z return mod(*inputs) 2025-08-14T21:50:49.9387335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9387402Z x = self.forward_features(x) 2025-08-14T21:50:49.9387631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9387694Z x = self.blocks(x) 2025-08-14T21:50:49.9387914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9387973Z x = self.se(x) 2025-08-14T21:50:49.9388189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9388277Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9388281Z 2025-08-14T21:50:49.9388382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9388574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9388636Z return mod(*inputs) 2025-08-14T21:50:49.9388835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9388910Z x = self.forward_features(x) 2025-08-14T21:50:49.9389133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9389192Z x = self.blocks(x) 2025-08-14T21:50:49.9389412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9389471Z x = self.se(x) 2025-08-14T21:50:49.9389693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9389757Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9389762Z 2025-08-14T21:50:49.9389859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9390051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9390112Z return mod(*inputs) 2025-08-14T21:50:49.9390328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9390405Z x = self.forward_features(x) 2025-08-14T21:50:49.9390625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9390692Z x = self.blocks(x) 2025-08-14T21:50:49.9390913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9390971Z x = self.se(x) 2025-08-14T21:50:49.9391193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9391276Z return x * self.gate(x_se) 2025-08-14T21:50:49.9391280Z 2025-08-14T21:50:49.9391382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9391577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9391643Z return mod(*inputs) 2025-08-14T21:50:49.9391868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9391951Z x = self.forward_features(x) 2025-08-14T21:50:49.9392181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9392249Z x = self.blocks(x) 2025-08-14T21:50:49.9392468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9392530Z x = self.se(x) 2025-08-14T21:50:49.9392753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9392820Z return x * self.gate(x_se) 2025-08-14T21:50:49.9392824Z 2025-08-14T21:50:49.9392928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9393119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9393183Z return mod(*inputs) 2025-08-14T21:50:49.9393396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9393462Z x = self.forward_features(x) 2025-08-14T21:50:49.9393693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9393755Z x = self.blocks(x) 2025-08-14T21:50:49.9393981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9394047Z x = self.se(x) 2025-08-14T21:50:49.9394262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9394329Z return x * self.gate(x_se) 2025-08-14T21:50:49.9394332Z 2025-08-14T21:50:49.9394440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9394629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9394698Z return mod(*inputs) 2025-08-14T21:50:49.9394901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9394969Z x = self.forward_features(x) 2025-08-14T21:50:49.9395198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9395259Z x = self.blocks(x) 2025-08-14T21:50:49.9395474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9395547Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9395550Z 2025-08-14T21:50:49.9395648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9395840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9395919Z return mod(*inputs) 2025-08-14T21:50:49.9396122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9396197Z x = self.forward_features(x) 2025-08-14T21:50:49.9396418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9396479Z x = self.blocks(x) 2025-08-14T21:50:49.9396705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9396770Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9396773Z 2025-08-14T21:50:49.9396897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9397086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9397148Z return mod(*inputs) 2025-08-14T21:50:49.9397353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9397437Z x = self.forward_features(x) 2025-08-14T21:50:49.9397661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9397728Z x = self.blocks(x) 2025-08-14T21:50:49.9397942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9398010Z x = self.conv_pw(x) 2025-08-14T21:50:49.9398208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9398311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9398526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9398626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9398631Z 2025-08-14T21:50:49.9398736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9398922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9398984Z return mod(*inputs) 2025-08-14T21:50:49.9399192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9399258Z x = self.forward_features(x) 2025-08-14T21:50:49.9399495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9399566Z x = self.blocks(x) 2025-08-14T21:50:49.9399784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9399852Z x = self.conv_pw(x) 2025-08-14T21:50:49.9400050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9400149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9400365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9400462Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9400466Z 2025-08-14T21:50:49.9400572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9400766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9400832Z return mod(*inputs) 2025-08-14T21:50:49.9401049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9401118Z x = self.forward_features(x) 2025-08-14T21:50:49.9401345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9401414Z x = self.blocks(x) 2025-08-14T21:50:49.9401651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9401733Z x = self.conv_pw(x) 2025-08-14T21:50:49.9401930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9402026Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9402238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9402336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9402339Z 2025-08-14T21:50:49.9402451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9402647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9402708Z return mod(*inputs) 2025-08-14T21:50:49.9402919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9402989Z x = self.forward_features(x) 2025-08-14T21:50:49.9403228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9403293Z x = self.blocks(x) 2025-08-14T21:50:49.9403512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9403573Z x = self.conv_pw(x) 2025-08-14T21:50:49.9403785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9403884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9404095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9404192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9404197Z 2025-08-14T21:50:49.9404275Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9404358Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9404458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9404652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9404714Z return mod(*inputs) 2025-08-14T21:50:49.9404914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9404988Z x = self.forward_features(x) 2025-08-14T21:50:49.9405226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9405288Z x = self.blocks(x) 2025-08-14T21:50:49.9405513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9405575Z x = self.conv_pw(x) 2025-08-14T21:50:49.9405780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9405847Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9405850Z 2025-08-14T21:50:49.9405948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9406145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9406207Z return mod(*inputs) 2025-08-14T21:50:49.9406406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9406483Z x = self.forward_features(x) 2025-08-14T21:50:49.9406708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9406776Z x = self.blocks(x) 2025-08-14T21:50:49.9406995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9407072Z x = self.bn1(x) 2025-08-14T21:50:49.9407271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9407333Z x = F.batch_norm( 2025-08-14T21:50:49.9407336Z 2025-08-14T21:50:49.9407435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9407632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9407695Z return mod(*inputs) 2025-08-14T21:50:49.9407906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9407974Z x = self.forward_features(x) 2025-08-14T21:50:49.9408213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9408292Z x = self.blocks(x) 2025-08-14T21:50:49.9408520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9408581Z x = self.bn1(x) 2025-08-14T21:50:49.9408802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9408863Z x = self.act(x) 2025-08-14T21:50:49.9408867Z 2025-08-14T21:50:49.9408954Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9409054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9409246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9409318Z return mod(*inputs) 2025-08-14T21:50:49.9409527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9409596Z x = self.forward_features(x) 2025-08-14T21:50:49.9409831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9409894Z x = self.blocks(x) 2025-08-14T21:50:49.9410122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9410187Z x = self.conv_dw(x) 2025-08-14T21:50:49.9410394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9410509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9410724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9410851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9410855Z 2025-08-14T21:50:49.9410964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9411162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9411236Z return mod(*inputs) 2025-08-14T21:50:49.9411450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9411525Z x = self.forward_features(x) 2025-08-14T21:50:49.9411990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9412058Z x = self.blocks(x) 2025-08-14T21:50:49.9412294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9412360Z x = self.conv_dw(x) 2025-08-14T21:50:49.9412571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9412684Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9412908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9413012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9413068Z 2025-08-14T21:50:49.9413153Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9413263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9413476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9413543Z return mod(*inputs) 2025-08-14T21:50:49.9413763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9413844Z x = self.forward_features(x) 2025-08-14T21:50:49.9414086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9414178Z x = self.blocks(x) 2025-08-14T21:50:49.9414419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9414487Z x = self.conv_dw(x) 2025-08-14T21:50:49.9414706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9414814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9415060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9415169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9415172Z 2025-08-14T21:50:49.9415281Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9415488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9415555Z return mod(*inputs) 2025-08-14T21:50:49.9415772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9415853Z x = self.forward_features(x) 2025-08-14T21:50:49.9416095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9416162Z x = self.blocks(x) 2025-08-14T21:50:49.9416598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9416676Z x = self.conv_dw(x) 2025-08-14T21:50:49.9416905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9417012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9417275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9417394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9417400Z 2025-08-14T21:50:49.9417488Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9417600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9417830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9417899Z return mod(*inputs) 2025-08-14T21:50:49.9418126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9418200Z x = self.forward_features(x) 2025-08-14T21:50:49.9418452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9418524Z x = self.blocks(x) 2025-08-14T21:50:49.9418769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9418837Z x = self.conv_dw(x) 2025-08-14T21:50:49.9419068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9419170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9419397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9419526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9419531Z 2025-08-14T21:50:49.9419637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9419845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9419911Z return mod(*inputs) 2025-08-14T21:50:49.9420136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9420207Z x = self.forward_features(x) 2025-08-14T21:50:49.9420458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9420531Z x = self.blocks(x) 2025-08-14T21:50:49.9420759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9420825Z x = self.conv_dw(x) 2025-08-14T21:50:49.9421042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9421163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9421439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9421541Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9421545Z 2025-08-14T21:50:49.9421626Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9421738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9421938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9422004Z return mod(*inputs) 2025-08-14T21:50:49.9422222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9422294Z x = self.forward_features(x) 2025-08-14T21:50:49.9422536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9422600Z x = self.blocks(x) 2025-08-14T21:50:49.9422828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9422902Z x = self.conv_dw(x) 2025-08-14T21:50:49.9423111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9423220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9423456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9423560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9423564Z 2025-08-14T21:50:49.9423674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9423870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9423937Z return mod(*inputs) 2025-08-14T21:50:49.9424159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9424230Z x = self.forward_features(x) 2025-08-14T21:50:49.9424470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9424532Z x = self.blocks(x) 2025-08-14T21:50:49.9424760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9424830Z x = self.conv_dw(x) 2025-08-14T21:50:49.9425039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9425141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9425364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9425482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9425487Z 2025-08-14T21:50:49.9425574Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9425653Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9425731Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9425818Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9425921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9426119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9426201Z return mod(*inputs) 2025-08-14T21:50:49.9426423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9426500Z x = self.forward_features(x) 2025-08-14T21:50:49.9426731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9426795Z x = self.blocks(x) 2025-08-14T21:50:49.9427040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9427103Z x = self.conv_dw(x) 2025-08-14T21:50:49.9427307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9427382Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9427386Z 2025-08-14T21:50:49.9427461Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9427573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9427766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9427829Z return mod(*inputs) 2025-08-14T21:50:49.9428040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9428111Z x = self.forward_features(x) 2025-08-14T21:50:49.9428339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9428409Z x = self.blocks(x) 2025-08-14T21:50:49.9428629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9428696Z x = self.se(x) 2025-08-14T21:50:49.9428915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9429004Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9429009Z 2025-08-14T21:50:49.9429120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9429310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9429379Z return mod(*inputs) 2025-08-14T21:50:49.9429586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9429657Z x = self.forward_features(x) 2025-08-14T21:50:49.9429893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9429955Z x = self.blocks(x) 2025-08-14T21:50:49.9430175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9430243Z x = self.se(x) 2025-08-14T21:50:49.9430463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9430537Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9430541Z 2025-08-14T21:50:49.9430644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9430841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9430913Z return mod(*inputs) 2025-08-14T21:50:49.9431144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9431217Z x = self.forward_features(x) 2025-08-14T21:50:49.9431460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9431525Z x = self.blocks(x) 2025-08-14T21:50:49.9431763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9431824Z x = self.se(x) 2025-08-14T21:50:49.9432046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9432138Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9432142Z 2025-08-14T21:50:49.9432248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9432444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9432519Z return mod(*inputs) 2025-08-14T21:50:49.9432730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9432826Z x = self.forward_features(x) 2025-08-14T21:50:49.9433055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9433116Z x = self.blocks(x) 2025-08-14T21:50:49.9433345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9433407Z x = self.se(x) 2025-08-14T21:50:49.9433629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9433708Z return x * self.gate(x_se) 2025-08-14T21:50:49.9433712Z 2025-08-14T21:50:49.9433813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9434013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9434078Z return mod(*inputs) 2025-08-14T21:50:49.9434290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9434368Z x = self.forward_features(x) 2025-08-14T21:50:49.9434599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9434668Z x = self.blocks(x) 2025-08-14T21:50:49.9434905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9434966Z x = self.se(x) 2025-08-14T21:50:49.9435196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9435264Z return x * self.gate(x_se) 2025-08-14T21:50:49.9435268Z 2025-08-14T21:50:49.9435371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9435573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9435638Z return mod(*inputs) 2025-08-14T21:50:49.9435852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9435920Z x = self.forward_features(x) 2025-08-14T21:50:49.9436152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9436222Z x = self.blocks(x) 2025-08-14T21:50:49.9436441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9436503Z x = self.se(x) 2025-08-14T21:50:49.9436729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9436797Z return x * self.gate(x_se) 2025-08-14T21:50:49.9436836Z 2025-08-14T21:50:49.9436922Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9437023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9437218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9437289Z return mod(*inputs) 2025-08-14T21:50:49.9437497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9437567Z x = self.forward_features(x) 2025-08-14T21:50:49.9437806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9437869Z x = self.blocks(x) 2025-08-14T21:50:49.9438111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9438179Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9438383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9438495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9438722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9438824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9438835Z 2025-08-14T21:50:49.9438937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9439133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9439206Z return mod(*inputs) 2025-08-14T21:50:49.9439414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9439484Z x = self.forward_features(x) 2025-08-14T21:50:49.9439723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9439786Z x = self.blocks(x) 2025-08-14T21:50:49.9440012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9440080Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9440282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9440389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9440600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9440723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9440727Z 2025-08-14T21:50:49.9440816Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9440920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9441119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9441184Z return mod(*inputs) 2025-08-14T21:50:49.9441393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9441471Z x = self.forward_features(x) 2025-08-14T21:50:49.9441696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9441756Z x = self.blocks(x) 2025-08-14T21:50:49.9441983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9442049Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9442256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9442367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9442572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9442694Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9442699Z 2025-08-14T21:50:49.9442798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9442992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9443055Z return mod(*inputs) 2025-08-14T21:50:49.9443260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9443333Z x = self.forward_features(x) 2025-08-14T21:50:49.9443557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9443637Z x = self.blocks(x) 2025-08-14T21:50:49.9443862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9443925Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9444128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9444240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9444448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9444551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9444555Z 2025-08-14T21:50:49.9444632Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9444706Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9444813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9445002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9445070Z return mod(*inputs) 2025-08-14T21:50:49.9445276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9445345Z x = self.forward_features(x) 2025-08-14T21:50:49.9445577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9445640Z x = self.blocks(x) 2025-08-14T21:50:49.9445859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9445929Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9446128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9446215Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9446219Z 2025-08-14T21:50:49.9446322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9446512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9446582Z return mod(*inputs) 2025-08-14T21:50:49.9446788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9446856Z x = self.forward_features(x) 2025-08-14T21:50:49.9447088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9447148Z x = self.blocks(x) 2025-08-14T21:50:49.9447370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9447444Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9447447Z 2025-08-14T21:50:49.9447547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9447743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9447807Z return mod(*inputs) 2025-08-14T21:50:49.9448014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9448080Z x = self.forward_features(x) 2025-08-14T21:50:49.9448322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9448391Z x = self.blocks(x) 2025-08-14T21:50:49.9448609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9448671Z x = self.conv_pw(x) 2025-08-14T21:50:49.9448879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9448976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9449194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9449304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9449308Z 2025-08-14T21:50:49.9449411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9449608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9449674Z return mod(*inputs) 2025-08-14T21:50:49.9449888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9449963Z x = self.forward_features(x) 2025-08-14T21:50:49.9450182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9450250Z x = self.blocks(x) 2025-08-14T21:50:49.9450466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9450530Z x = self.conv_pw(x) 2025-08-14T21:50:49.9450739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9450837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9451045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9451152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9451157Z 2025-08-14T21:50:49.9451258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9451454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9451517Z return mod(*inputs) 2025-08-14T21:50:49.9451728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9451829Z x = self.forward_features(x) 2025-08-14T21:50:49.9452066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9452136Z x = self.blocks(x) 2025-08-14T21:50:49.9452362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9452430Z x = self.conv_pw(x) 2025-08-14T21:50:49.9452640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9452744Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9452968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9453075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9453078Z 2025-08-14T21:50:49.9453178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9453375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9453441Z return mod(*inputs) 2025-08-14T21:50:49.9453647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9453725Z x = self.forward_features(x) 2025-08-14T21:50:49.9453973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9454049Z x = self.blocks(x) 2025-08-14T21:50:49.9454278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9454342Z x = self.conv_pw(x) 2025-08-14T21:50:49.9454550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9454649Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9454861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9454998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9455002Z 2025-08-14T21:50:49.9455082Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9455166Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9455271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9455461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9455548Z return mod(*inputs) 2025-08-14T21:50:49.9455757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9455826Z x = self.forward_features(x) 2025-08-14T21:50:49.9456072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9456141Z x = self.blocks(x) 2025-08-14T21:50:49.9456489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9456564Z x = self.conv_pw(x) 2025-08-14T21:50:49.9456786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9456869Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9456875Z 2025-08-14T21:50:49.9456987Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9457195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9457273Z return mod(*inputs) 2025-08-14T21:50:49.9457501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9457577Z x = self.forward_features(x) 2025-08-14T21:50:49.9457818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9457879Z x = self.blocks(x) 2025-08-14T21:50:49.9458125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9458194Z x = self.bn1(x) 2025-08-14T21:50:49.9458409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9458488Z x = F.batch_norm( 2025-08-14T21:50:49.9458492Z 2025-08-14T21:50:49.9458606Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9458826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9458898Z return mod(*inputs) 2025-08-14T21:50:49.9459123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9459208Z x = self.forward_features(x) 2025-08-14T21:50:49.9459458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9459525Z x = self.blocks(x) 2025-08-14T21:50:49.9459779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9459847Z x = self.bn1(x) 2025-08-14T21:50:49.9460071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9460163Z x = self.act(x) 2025-08-14T21:50:49.9460168Z 2025-08-14T21:50:49.9460255Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9460374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9460585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9460654Z return mod(*inputs) 2025-08-14T21:50:49.9460890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9460967Z x = self.forward_features(x) 2025-08-14T21:50:49.9461243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9461312Z x = self.blocks(x) 2025-08-14T21:50:49.9461555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9461634Z x = self.conv_dw(x) 2025-08-14T21:50:49.9461853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9462007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9462237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9462345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9462348Z 2025-08-14T21:50:49.9462466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9462676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9462747Z return mod(*inputs) 2025-08-14T21:50:49.9462979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9463055Z x = self.forward_features(x) 2025-08-14T21:50:49.9463314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9463387Z x = self.blocks(x) 2025-08-14T21:50:49.9463627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9463703Z x = self.conv_dw(x) 2025-08-14T21:50:49.9463923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9464029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9464286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9464396Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9464400Z 2025-08-14T21:50:49.9464495Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9464605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9464816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9464898Z return mod(*inputs) 2025-08-14T21:50:49.9465126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9465209Z x = self.forward_features(x) 2025-08-14T21:50:49.9465463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9465525Z x = self.blocks(x) 2025-08-14T21:50:49.9465755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9465817Z x = self.conv_dw(x) 2025-08-14T21:50:49.9466015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9466120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9466342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9466447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9466450Z 2025-08-14T21:50:49.9466549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9466739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9466809Z return mod(*inputs) 2025-08-14T21:50:49.9467014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9467081Z x = self.forward_features(x) 2025-08-14T21:50:49.9467325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9467387Z x = self.blocks(x) 2025-08-14T21:50:49.9467611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9467674Z x = self.conv_dw(x) 2025-08-14T21:50:49.9467886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9467992Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9468205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9468300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9468310Z 2025-08-14T21:50:49.9468389Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9468488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9468683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9468746Z return mod(*inputs) 2025-08-14T21:50:49.9468954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9469034Z x = self.forward_features(x) 2025-08-14T21:50:49.9469268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9469338Z x = self.blocks(x) 2025-08-14T21:50:49.9469565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9469627Z x = self.conv_dw(x) 2025-08-14T21:50:49.9469843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9469942Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9470148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9470251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9470254Z 2025-08-14T21:50:49.9470355Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9470550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9470614Z return mod(*inputs) 2025-08-14T21:50:49.9470817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9470893Z x = self.forward_features(x) 2025-08-14T21:50:49.9471119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9471182Z x = self.blocks(x) 2025-08-14T21:50:49.9471407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9471470Z x = self.conv_dw(x) 2025-08-14T21:50:49.9471678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9471776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9472005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9472113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9472117Z 2025-08-14T21:50:49.9472196Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9472304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9472509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9472573Z return mod(*inputs) 2025-08-14T21:50:49.9472798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9472867Z x = self.forward_features(x) 2025-08-14T21:50:49.9473088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9473159Z x = self.blocks(x) 2025-08-14T21:50:49.9473376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9473463Z x = self.conv_dw(x) 2025-08-14T21:50:49.9473665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9473763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9473979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9474079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9474082Z 2025-08-14T21:50:49.9474185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9474385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9474447Z return mod(*inputs) 2025-08-14T21:50:49.9474660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9474731Z x = self.forward_features(x) 2025-08-14T21:50:49.9474959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9475029Z x = self.blocks(x) 2025-08-14T21:50:49.9475248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9475309Z x = self.conv_dw(x) 2025-08-14T21:50:49.9475535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9475635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9475848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9475942Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9475947Z 2025-08-14T21:50:49.9476024Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9476110Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9476185Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9476258Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9476364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9476551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9476620Z return mod(*inputs) 2025-08-14T21:50:49.9476824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9476894Z x = self.forward_features(x) 2025-08-14T21:50:49.9477126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9477187Z x = self.blocks(x) 2025-08-14T21:50:49.9477408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9477493Z x = self.conv_dw(x) 2025-08-14T21:50:49.9477689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9477763Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9477766Z 2025-08-14T21:50:49.9477841Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9477939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9478143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9478206Z return mod(*inputs) 2025-08-14T21:50:49.9478438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9478509Z x = self.forward_features(x) 2025-08-14T21:50:49.9478730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9478798Z x = self.blocks(x) 2025-08-14T21:50:49.9479015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9479091Z x = self.se(x) 2025-08-14T21:50:49.9479324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9479397Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9479401Z 2025-08-14T21:50:49.9479508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9479700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9479763Z return mod(*inputs) 2025-08-14T21:50:49.9479972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9480039Z x = self.forward_features(x) 2025-08-14T21:50:49.9480261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9480335Z x = self.blocks(x) 2025-08-14T21:50:49.9480553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9480620Z x = self.se(x) 2025-08-14T21:50:49.9480833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9480899Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9480902Z 2025-08-14T21:50:49.9481021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9481211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9481275Z return mod(*inputs) 2025-08-14T21:50:49.9481491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9481558Z x = self.forward_features(x) 2025-08-14T21:50:49.9481787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9481848Z x = self.blocks(x) 2025-08-14T21:50:49.9482063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9482130Z x = self.se(x) 2025-08-14T21:50:49.9482341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9482406Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9482418Z 2025-08-14T21:50:49.9482516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9482704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9482772Z return mod(*inputs) 2025-08-14T21:50:49.9482972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9483059Z x = self.forward_features(x) 2025-08-14T21:50:49.9483296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9483360Z x = self.blocks(x) 2025-08-14T21:50:49.9483583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9483643Z x = self.se(x) 2025-08-14T21:50:49.9483858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9483937Z return x * self.gate(x_se) 2025-08-14T21:50:49.9483940Z 2025-08-14T21:50:49.9484058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9484247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9484317Z return mod(*inputs) 2025-08-14T21:50:49.9484521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9484614Z x = self.forward_features(x) 2025-08-14T21:50:49.9484842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9484904Z x = self.blocks(x) 2025-08-14T21:50:49.9485130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9485189Z x = self.se(x) 2025-08-14T21:50:49.9485409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9485485Z return x * self.gate(x_se) 2025-08-14T21:50:49.9485491Z 2025-08-14T21:50:49.9485590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9485789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9485854Z return mod(*inputs) 2025-08-14T21:50:49.9486059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9486139Z x = self.forward_features(x) 2025-08-14T21:50:49.9486366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9486426Z x = self.blocks(x) 2025-08-14T21:50:49.9486654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9486713Z x = self.se(x) 2025-08-14T21:50:49.9486954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9487024Z return x * self.gate(x_se) 2025-08-14T21:50:49.9487028Z 2025-08-14T21:50:49.9487105Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9487211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9487402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9487467Z return mod(*inputs) 2025-08-14T21:50:49.9487680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9487747Z x = self.forward_features(x) 2025-08-14T21:50:49.9487979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9488043Z x = self.blocks(x) 2025-08-14T21:50:49.9488261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9488335Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9488539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9488648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9488875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9488978Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9488981Z 2025-08-14T21:50:49.9489087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9489272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9489333Z return mod(*inputs) 2025-08-14T21:50:49.9489547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9489614Z x = self.forward_features(x) 2025-08-14T21:50:49.9489857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9489921Z x = self.blocks(x) 2025-08-14T21:50:49.9490141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9490217Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9490417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9490532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9490748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9490846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9490849Z 2025-08-14T21:50:49.9490936Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9491037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9491225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9491296Z return mod(*inputs) 2025-08-14T21:50:49.9491498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9491568Z x = self.forward_features(x) 2025-08-14T21:50:49.9491799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9491862Z x = self.blocks(x) 2025-08-14T21:50:49.9492084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9492149Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9492381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9492505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9492726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9492834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9492838Z 2025-08-14T21:50:49.9492941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9493140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9493214Z return mod(*inputs) 2025-08-14T21:50:49.9493428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9493499Z x = self.forward_features(x) 2025-08-14T21:50:49.9493740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9493804Z x = self.blocks(x) 2025-08-14T21:50:49.9494038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9494104Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9494312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9494423Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9494660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9494764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9494776Z 2025-08-14T21:50:49.9494857Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9494937Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9495046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9495242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9495307Z return mod(*inputs) 2025-08-14T21:50:49.9495540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9495613Z x = self.forward_features(x) 2025-08-14T21:50:49.9495853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9495924Z x = self.blocks(x) 2025-08-14T21:50:49.9496184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9496384Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9496614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9496688Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9496692Z 2025-08-14T21:50:49.9496813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9497024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9497100Z return mod(*inputs) 2025-08-14T21:50:49.9497324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9497401Z x = self.forward_features(x) 2025-08-14T21:50:49.9497670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9497738Z x = self.blocks(x) 2025-08-14T21:50:49.9497983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9498071Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9498074Z 2025-08-14T21:50:49.9498183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9498402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9498494Z return mod(*inputs) 2025-08-14T21:50:49.9498746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9498829Z x = self.forward_features(x) 2025-08-14T21:50:49.9499081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9499147Z x = self.blocks(x) 2025-08-14T21:50:49.9499389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9499458Z x = self.conv_pw(x) 2025-08-14T21:50:49.9499690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9499798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9500032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9500146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9500150Z 2025-08-14T21:50:49.9500257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9500464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9500532Z return mod(*inputs) 2025-08-14T21:50:49.9500750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9500852Z x = self.forward_features(x) 2025-08-14T21:50:49.9501106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9501173Z x = self.blocks(x) 2025-08-14T21:50:49.9501415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9501483Z x = self.conv_pw(x) 2025-08-14T21:50:49.9501723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9501844Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9502070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9502181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9502186Z 2025-08-14T21:50:49.9502294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9502514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9502590Z return mod(*inputs) 2025-08-14T21:50:49.9502808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9502889Z x = self.forward_features(x) 2025-08-14T21:50:49.9503130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9503194Z x = self.blocks(x) 2025-08-14T21:50:49.9503447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9503515Z x = self.conv_pw(x) 2025-08-14T21:50:49.9503726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9503839Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9504060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9504174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9504177Z 2025-08-14T21:50:49.9504275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9504465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9504535Z return mod(*inputs) 2025-08-14T21:50:49.9505065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9505148Z x = self.forward_features(x) 2025-08-14T21:50:49.9505375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9505437Z x = self.blocks(x) 2025-08-14T21:50:49.9505671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9505736Z x = self.conv_pw(x) 2025-08-14T21:50:49.9505938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9506046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9506258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9506368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9506371Z 2025-08-14T21:50:49.9506455Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9506535Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9506645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9506846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9506937Z return mod(*inputs) 2025-08-14T21:50:49.9507154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9507225Z x = self.forward_features(x) 2025-08-14T21:50:49.9507458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9507519Z x = self.blocks(x) 2025-08-14T21:50:49.9507742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9507813Z x = self.conv_pw(x) 2025-08-14T21:50:49.9508030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9508096Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9508108Z 2025-08-14T21:50:49.9508207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9508399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9508469Z return mod(*inputs) 2025-08-14T21:50:49.9508685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9508755Z x = self.forward_features(x) 2025-08-14T21:50:49.9508987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9509048Z x = self.blocks(x) 2025-08-14T21:50:49.9509269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9509339Z x = self.bn1(x) 2025-08-14T21:50:49.9509539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9509608Z x = F.batch_norm( 2025-08-14T21:50:49.9509612Z 2025-08-14T21:50:49.9509714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9509906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9509979Z return mod(*inputs) 2025-08-14T21:50:49.9510191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9510267Z x = self.forward_features(x) 2025-08-14T21:50:49.9510490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9510551Z x = self.blocks(x) 2025-08-14T21:50:49.9510787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9510849Z x = self.bn1(x) 2025-08-14T21:50:49.9511042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9511109Z x = self.act(x) 2025-08-14T21:50:49.9511112Z 2025-08-14T21:50:49.9511191Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9511295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9511483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9511545Z return mod(*inputs) 2025-08-14T21:50:49.9511907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9511982Z x = self.forward_features(x) 2025-08-14T21:50:49.9512207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9512278Z x = self.blocks(x) 2025-08-14T21:50:49.9512495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9512567Z x = self.conv_dw(x) 2025-08-14T21:50:49.9512765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9512904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9513123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9513222Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9513225Z 2025-08-14T21:50:49.9513325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9513521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9513586Z return mod(*inputs) 2025-08-14T21:50:49.9513815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9513885Z x = self.forward_features(x) 2025-08-14T21:50:49.9514112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9514181Z x = self.blocks(x) 2025-08-14T21:50:49.9514402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9514485Z x = self.conv_dw(x) 2025-08-14T21:50:49.9514704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9514804Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9515023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9515126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9515130Z 2025-08-14T21:50:49.9515211Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9515330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9515526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9515597Z return mod(*inputs) 2025-08-14T21:50:49.9515808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9515878Z x = self.forward_features(x) 2025-08-14T21:50:49.9516118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9516180Z x = self.blocks(x) 2025-08-14T21:50:49.9516413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9516482Z x = self.conv_dw(x) 2025-08-14T21:50:49.9516702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9516808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9517017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9517117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9517120Z 2025-08-14T21:50:49.9517228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9517417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9517481Z return mod(*inputs) 2025-08-14T21:50:49.9517691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9517759Z x = self.forward_features(x) 2025-08-14T21:50:49.9517992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9518052Z x = self.blocks(x) 2025-08-14T21:50:49.9518269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9518339Z x = self.conv_dw(x) 2025-08-14T21:50:49.9518537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9518656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9518862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9518960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9518962Z 2025-08-14T21:50:49.9519047Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9519146Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9519335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9519405Z return mod(*inputs) 2025-08-14T21:50:49.9519614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9519686Z x = self.forward_features(x) 2025-08-14T21:50:49.9519910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9519973Z x = self.blocks(x) 2025-08-14T21:50:49.9520213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9520275Z x = self.conv_dw(x) 2025-08-14T21:50:49.9520470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9520574Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9520779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9520885Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9520888Z 2025-08-14T21:50:49.9520988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9521174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9521243Z return mod(*inputs) 2025-08-14T21:50:49.9521443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9521513Z x = self.forward_features(x) 2025-08-14T21:50:49.9521740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9521802Z x = self.blocks(x) 2025-08-14T21:50:49.9522023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9522105Z x = self.conv_dw(x) 2025-08-14T21:50:49.9522302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9522402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9522604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9522707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9522711Z 2025-08-14T21:50:49.9522788Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9522886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9523079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9523141Z return mod(*inputs) 2025-08-14T21:50:49.9523341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9523416Z x = self.forward_features(x) 2025-08-14T21:50:49.9523639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9523708Z x = self.blocks(x) 2025-08-14T21:50:49.9523933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9524008Z x = self.conv_dw(x) 2025-08-14T21:50:49.9524207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9524304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9524506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9524609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9524612Z 2025-08-14T21:50:49.9524715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9524909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9524987Z return mod(*inputs) 2025-08-14T21:50:49.9525190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9525267Z x = self.forward_features(x) 2025-08-14T21:50:49.9525492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9525575Z x = self.blocks(x) 2025-08-14T21:50:49.9525797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9525860Z x = self.conv_dw(x) 2025-08-14T21:50:49.9526071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9526169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9526385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9526487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9526490Z 2025-08-14T21:50:49.9526565Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9526649Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9526724Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9526796Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9526902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9527091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9527152Z return mod(*inputs) 2025-08-14T21:50:49.9527364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9527431Z x = self.forward_features(x) 2025-08-14T21:50:49.9527681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9527743Z x = self.blocks(x) 2025-08-14T21:50:49.9527953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9528020Z x = self.conv_dw(x) 2025-08-14T21:50:49.9528214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9528280Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9528283Z 2025-08-14T21:50:49.9528363Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9528459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9528653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9528716Z return mod(*inputs) 2025-08-14T21:50:49.9528918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9528992Z x = self.forward_features(x) 2025-08-14T21:50:49.9529214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9529273Z x = self.blocks(x) 2025-08-14T21:50:49.9529492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9529575Z x = self.se(x) 2025-08-14T21:50:49.9529798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9529873Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9529876Z 2025-08-14T21:50:49.9529975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9530171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9530234Z return mod(*inputs) 2025-08-14T21:50:49.9530443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9530534Z x = self.forward_features(x) 2025-08-14T21:50:49.9530768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9530838Z x = self.blocks(x) 2025-08-14T21:50:49.9531061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9531139Z x = self.se(x) 2025-08-14T21:50:49.9531368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9531436Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9531440Z 2025-08-14T21:50:49.9531541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9531742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9531805Z return mod(*inputs) 2025-08-14T21:50:49.9532019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9532089Z x = self.forward_features(x) 2025-08-14T21:50:49.9532322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9532391Z x = self.blocks(x) 2025-08-14T21:50:49.9532603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9532671Z x = self.se(x) 2025-08-14T21:50:49.9532884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9532948Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9532951Z 2025-08-14T21:50:49.9533056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9533257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9533320Z return mod(*inputs) 2025-08-14T21:50:49.9533535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9533604Z x = self.forward_features(x) 2025-08-14T21:50:49.9533835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9533900Z x = self.blocks(x) 2025-08-14T21:50:49.9534123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9534190Z x = self.se(x) 2025-08-14T21:50:49.9534409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9534477Z return x * self.gate(x_se) 2025-08-14T21:50:49.9534480Z 2025-08-14T21:50:49.9534587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9534791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9534863Z return mod(*inputs) 2025-08-14T21:50:49.9535074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9535143Z x = self.forward_features(x) 2025-08-14T21:50:49.9535437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9535502Z x = self.blocks(x) 2025-08-14T21:50:49.9535729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9535797Z x = self.se(x) 2025-08-14T21:50:49.9536032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9536114Z return x * self.gate(x_se) 2025-08-14T21:50:49.9536118Z 2025-08-14T21:50:49.9536305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9536566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9536647Z return mod(*inputs) 2025-08-14T21:50:49.9536878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9536955Z x = self.forward_features(x) 2025-08-14T21:50:49.9537212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9537298Z x = self.blocks(x) 2025-08-14T21:50:49.9537544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9537606Z x = self.se(x) 2025-08-14T21:50:49.9537821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9537900Z return x * self.gate(x_se) 2025-08-14T21:50:49.9537903Z 2025-08-14T21:50:49.9537981Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9538090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9538281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9538343Z return mod(*inputs) 2025-08-14T21:50:49.9538557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9538630Z x = self.forward_features(x) 2025-08-14T21:50:49.9538860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9538931Z x = self.blocks(x) 2025-08-14T21:50:49.9539155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9539229Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9539451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9539557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9539781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9539885Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9539890Z 2025-08-14T21:50:49.9539994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9540203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9540270Z return mod(*inputs) 2025-08-14T21:50:49.9540509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9540585Z x = self.forward_features(x) 2025-08-14T21:50:49.9540827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9540901Z x = self.blocks(x) 2025-08-14T21:50:49.9541135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9541205Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9541425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9541551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9541777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9541876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9541879Z 2025-08-14T21:50:49.9541959Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9542071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9542269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9542350Z return mod(*inputs) 2025-08-14T21:50:49.9542576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9542648Z x = self.forward_features(x) 2025-08-14T21:50:49.9542886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9542950Z x = self.blocks(x) 2025-08-14T21:50:49.9543196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9543271Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9543474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9543581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9543795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9543896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9543899Z 2025-08-14T21:50:49.9544008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9544201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9544267Z return mod(*inputs) 2025-08-14T21:50:49.9544480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9544552Z x = self.forward_features(x) 2025-08-14T21:50:49.9544790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9544851Z x = self.blocks(x) 2025-08-14T21:50:49.9545071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9545159Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9545363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9545462Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9545680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9545780Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9545785Z 2025-08-14T21:50:49.9545871Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9545950Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9546051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9546253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9546316Z return mod(*inputs) 2025-08-14T21:50:49.9546530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9546598Z x = self.forward_features(x) 2025-08-14T21:50:49.9546830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9546898Z x = self.blocks(x) 2025-08-14T21:50:49.9547118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9547200Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9547410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9547477Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9547480Z 2025-08-14T21:50:49.9547586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9547780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9547843Z return mod(*inputs) 2025-08-14T21:50:49.9548056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9548138Z x = self.forward_features(x) 2025-08-14T21:50:49.9548371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9548441Z x = self.blocks(x) 2025-08-14T21:50:49.9548659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9548766Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9548769Z 2025-08-14T21:50:49.9548869Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9549060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9549131Z return mod(*inputs) 2025-08-14T21:50:49.9549336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9549406Z x = self.forward_features(x) 2025-08-14T21:50:49.9549643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9549705Z x = self.blocks(x) 2025-08-14T21:50:49.9549940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9550003Z x = self.bn1(x) 2025-08-14T21:50:49.9550200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9550269Z x = self.act(x) 2025-08-14T21:50:49.9550273Z 2025-08-14T21:50:49.9550373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9550566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9550638Z return mod(*inputs) 2025-08-14T21:50:49.9550857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9550935Z x = self.forward_features(x) 2025-08-14T21:50:49.9551167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9551230Z x = self.blocks(x) 2025-08-14T21:50:49.9551462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9551526Z x = self.bn1(x) 2025-08-14T21:50:49.9551726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9551796Z x = self.act(x) 2025-08-14T21:50:49.9551799Z 2025-08-14T21:50:49.9551900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9552099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9552163Z return mod(*inputs) 2025-08-14T21:50:49.9552372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9552452Z x = self.forward_features(x) 2025-08-14T21:50:49.9552681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9552752Z x = self.blocks(x) 2025-08-14T21:50:49.9552975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.9553054Z x = self.bn2(x) 2025-08-14T21:50:49.9553257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9553318Z x = self.act(x) 2025-08-14T21:50:49.9553322Z 2025-08-14T21:50:49.9553423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9553623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9553687Z return mod(*inputs) 2025-08-14T21:50:49.9553903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9553986Z x = self.forward_features(x) 2025-08-14T21:50:49.9554218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9554289Z x = self.blocks(x) 2025-08-14T21:50:49.9554509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:49.9554586Z x = self.bn2(x) 2025-08-14T21:50:49.9554788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9554850Z x = self.act(x) 2025-08-14T21:50:49.9554853Z 2025-08-14T21:50:49.9554939Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9555038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9555232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9555304Z return mod(*inputs) 2025-08-14T21:50:49.9555511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9555580Z x = self.forward_features(x) 2025-08-14T21:50:49.9555816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9555879Z x = self.blocks(x) 2025-08-14T21:50:49.9556106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9556168Z x = self.se(x) 2025-08-14T21:50:49.9556395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9556474Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9556478Z 2025-08-14T21:50:49.9556589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9556778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9556850Z return mod(*inputs) 2025-08-14T21:50:49.9557054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9557132Z x = self.forward_features(x) 2025-08-14T21:50:49.9557361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9557426Z x = self.blocks(x) 2025-08-14T21:50:49.9557655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9557718Z x = self.se(x) 2025-08-14T21:50:49.9557934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9558012Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9558015Z 2025-08-14T21:50:49.9558118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9558315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9558381Z return mod(*inputs) 2025-08-14T21:50:49.9558584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9558676Z x = self.forward_features(x) 2025-08-14T21:50:49.9558902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9558974Z x = self.blocks(x) 2025-08-14T21:50:49.9559195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9559256Z x = self.se(x) 2025-08-14T21:50:49.9559481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9559548Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9559552Z 2025-08-14T21:50:49.9559673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9559875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9559938Z return mod(*inputs) 2025-08-14T21:50:49.9560150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9560221Z x = self.forward_features(x) 2025-08-14T21:50:49.9560467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9560535Z x = self.blocks(x) 2025-08-14T21:50:49.9560764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9560822Z x = self.se(x) 2025-08-14T21:50:49.9561045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9561112Z return x * self.gate(x_se) 2025-08-14T21:50:49.9561116Z 2025-08-14T21:50:49.9561222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9561408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9561471Z return mod(*inputs) 2025-08-14T21:50:49.9561678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9561747Z x = self.forward_features(x) 2025-08-14T21:50:49.9561965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9562033Z x = self.blocks(x) 2025-08-14T21:50:49.9562246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9562310Z x = self.se(x) 2025-08-14T21:50:49.9562541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9562611Z return x * self.gate(x_se) 2025-08-14T21:50:49.9562615Z 2025-08-14T21:50:49.9562720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9562909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9562981Z return mod(*inputs) 2025-08-14T21:50:49.9563185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9563255Z x = self.forward_features(x) 2025-08-14T21:50:49.9563484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9563545Z x = self.blocks(x) 2025-08-14T21:50:49.9563758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9563826Z x = self.se(x) 2025-08-14T21:50:49.9564038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9564112Z return x * self.gate(x_se) 2025-08-14T21:50:49.9564116Z 2025-08-14T21:50:49.9564214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9564402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9564488Z return mod(*inputs) 2025-08-14T21:50:49.9564694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9564762Z x = self.forward_features(x) 2025-08-14T21:50:49.9564994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9565055Z x = self.blocks(x) 2025-08-14T21:50:49.9565282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9565347Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9565351Z 2025-08-14T21:50:49.9565464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9565662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9565725Z return mod(*inputs) 2025-08-14T21:50:49.9565927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9566019Z x = self.forward_features(x) 2025-08-14T21:50:49.9566245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9566314Z x = self.blocks(x) 2025-08-14T21:50:49.9566526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9566591Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9566595Z 2025-08-14T21:50:49.9566700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9566886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9566957Z return mod(*inputs) 2025-08-14T21:50:49.9567167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9567236Z x = self.forward_features(x) 2025-08-14T21:50:49.9567466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9567527Z x = self.blocks(x) 2025-08-14T21:50:49.9567741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9567811Z x = self.conv_pw(x) 2025-08-14T21:50:49.9568015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9568137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9568346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9568448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9568451Z 2025-08-14T21:50:49.9568561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9568757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9568823Z return mod(*inputs) 2025-08-14T21:50:49.9569040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9569111Z x = self.forward_features(x) 2025-08-14T21:50:49.9569348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9569410Z x = self.blocks(x) 2025-08-14T21:50:49.9569633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9569706Z x = self.conv_pw(x) 2025-08-14T21:50:49.9569917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9570023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9570265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9570370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9570373Z 2025-08-14T21:50:49.9570486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9570683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9570749Z return mod(*inputs) 2025-08-14T21:50:49.9570967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9571037Z x = self.forward_features(x) 2025-08-14T21:50:49.9571307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9571372Z x = self.blocks(x) 2025-08-14T21:50:49.9571603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9571676Z x = self.conv_pw(x) 2025-08-14T21:50:49.9571901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9572005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9572229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9572330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9572334Z 2025-08-14T21:50:49.9572445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9572646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9572711Z return mod(*inputs) 2025-08-14T21:50:49.9572929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9573003Z x = self.forward_features(x) 2025-08-14T21:50:49.9573235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9573306Z x = self.blocks(x) 2025-08-14T21:50:49.9573530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9573602Z x = self.conv_pw(x) 2025-08-14T21:50:49.9573808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9573926Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9574153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9574254Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9574259Z 2025-08-14T21:50:49.9574344Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9574425Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9574529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9574737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9574803Z return mod(*inputs) 2025-08-14T21:50:49.9575014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9575093Z x = self.forward_features(x) 2025-08-14T21:50:49.9575329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9575401Z x = self.blocks(x) 2025-08-14T21:50:49.9575631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9575696Z x = self.conv_pw(x) 2025-08-14T21:50:49.9575912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9576000Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9576005Z 2025-08-14T21:50:49.9576109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9576407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9576480Z return mod(*inputs) 2025-08-14T21:50:49.9576713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9576791Z x = self.forward_features(x) 2025-08-14T21:50:49.9577044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9577143Z x = self.blocks(x) 2025-08-14T21:50:49.9577386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9577447Z x = self.bn1(x) 2025-08-14T21:50:49.9577654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9577735Z x = F.batch_norm( 2025-08-14T21:50:49.9577739Z 2025-08-14T21:50:49.9577853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9578052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9578118Z return mod(*inputs) 2025-08-14T21:50:49.9578340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9578415Z x = self.forward_features(x) 2025-08-14T21:50:49.9578652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9578727Z x = self.blocks(x) 2025-08-14T21:50:49.9578955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9579026Z x = self.bn1(x) 2025-08-14T21:50:49.9579232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9579297Z x = self.act(x) 2025-08-14T21:50:49.9579300Z 2025-08-14T21:50:49.9579390Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9579496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9579694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9579768Z return mod(*inputs) 2025-08-14T21:50:49.9579997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9580077Z x = self.forward_features(x) 2025-08-14T21:50:49.9580322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9580388Z x = self.blocks(x) 2025-08-14T21:50:49.9580628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9580695Z x = self.conv_dw(x) 2025-08-14T21:50:49.9580907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9581020Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9581240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9581351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9581355Z 2025-08-14T21:50:49.9581461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9581662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9581736Z return mod(*inputs) 2025-08-14T21:50:49.9581948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9582044Z x = self.forward_features(x) 2025-08-14T21:50:49.9582280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9582347Z x = self.blocks(x) 2025-08-14T21:50:49.9582581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9582646Z x = self.conv_dw(x) 2025-08-14T21:50:49.9582858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9582971Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9583212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9583318Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9583321Z 2025-08-14T21:50:49.9583399Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9583501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9583712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9583776Z return mod(*inputs) 2025-08-14T21:50:49.9583979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9584053Z x = self.forward_features(x) 2025-08-14T21:50:49.9584275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9584344Z x = self.blocks(x) 2025-08-14T21:50:49.9584560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9584622Z x = self.conv_dw(x) 2025-08-14T21:50:49.9584830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9584930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9585144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9585243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9585246Z 2025-08-14T21:50:49.9585347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9585541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9585603Z return mod(*inputs) 2025-08-14T21:50:49.9585821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9585900Z x = self.forward_features(x) 2025-08-14T21:50:49.9586125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9586191Z x = self.blocks(x) 2025-08-14T21:50:49.9586415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9586475Z x = self.conv_dw(x) 2025-08-14T21:50:49.9586680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9586776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9586982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9587088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9587091Z 2025-08-14T21:50:49.9587170Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9587276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9587464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9587526Z return mod(*inputs) 2025-08-14T21:50:49.9587753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9587824Z x = self.forward_features(x) 2025-08-14T21:50:49.9588046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9588114Z x = self.blocks(x) 2025-08-14T21:50:49.9588331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9588400Z x = self.conv_dw(x) 2025-08-14T21:50:49.9588596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9588707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9588921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9589018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9589023Z 2025-08-14T21:50:49.9589128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9589329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9589391Z return mod(*inputs) 2025-08-14T21:50:49.9589597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9589665Z x = self.forward_features(x) 2025-08-14T21:50:49.9589889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9589957Z x = self.blocks(x) 2025-08-14T21:50:49.9590174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9590244Z x = self.conv_dw(x) 2025-08-14T21:50:49.9590442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9590542Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9590757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9590852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9590855Z 2025-08-14T21:50:49.9590937Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9591035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9591236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9591305Z return mod(*inputs) 2025-08-14T21:50:49.9591510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9591579Z x = self.forward_features(x) 2025-08-14T21:50:49.9591811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9591875Z x = self.blocks(x) 2025-08-14T21:50:49.9592098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9592161Z x = self.conv_dw(x) 2025-08-14T21:50:49.9592356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9592461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9592671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9592771Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9592774Z 2025-08-14T21:50:49.9592881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9593071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9593165Z return mod(*inputs) 2025-08-14T21:50:49.9593366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9593437Z x = self.forward_features(x) 2025-08-14T21:50:49.9593666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9593729Z x = self.blocks(x) 2025-08-14T21:50:49.9593944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9594016Z x = self.conv_dw(x) 2025-08-14T21:50:49.9594225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9594334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9594540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9594639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9594642Z 2025-08-14T21:50:49.9594744Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9594823Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9594899Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9594982Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9595084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9595280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9595346Z return mod(*inputs) 2025-08-14T21:50:49.9595548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9595626Z x = self.forward_features(x) 2025-08-14T21:50:49.9595850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9595915Z x = self.blocks(x) 2025-08-14T21:50:49.9596140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9596207Z x = self.conv_dw(x) 2025-08-14T21:50:49.9596416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9596485Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9596488Z 2025-08-14T21:50:49.9596565Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9596674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9596883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9596948Z return mod(*inputs) 2025-08-14T21:50:49.9597158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9597226Z x = self.forward_features(x) 2025-08-14T21:50:49.9597455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9597520Z x = self.blocks(x) 2025-08-14T21:50:49.9597736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9597804Z x = self.se(x) 2025-08-14T21:50:49.9598019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9598092Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9598100Z 2025-08-14T21:50:49.9598199Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9598394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9598464Z return mod(*inputs) 2025-08-14T21:50:49.9598674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9598767Z x = self.forward_features(x) 2025-08-14T21:50:49.9599013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9599077Z x = self.blocks(x) 2025-08-14T21:50:49.9599307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9599380Z x = self.se(x) 2025-08-14T21:50:49.9599597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9599668Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9599671Z 2025-08-14T21:50:49.9599769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9599973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9600050Z return mod(*inputs) 2025-08-14T21:50:49.9600249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9600322Z x = self.forward_features(x) 2025-08-14T21:50:49.9600553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9600612Z x = self.blocks(x) 2025-08-14T21:50:49.9600831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9600889Z x = self.se(x) 2025-08-14T21:50:49.9601096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9601169Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9601172Z 2025-08-14T21:50:49.9601276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9601479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9601541Z return mod(*inputs) 2025-08-14T21:50:49.9601751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9601829Z x = self.forward_features(x) 2025-08-14T21:50:49.9602058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9602121Z x = self.blocks(x) 2025-08-14T21:50:49.9602346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9602406Z x = self.se(x) 2025-08-14T21:50:49.9602647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9602719Z return x * self.gate(x_se) 2025-08-14T21:50:49.9602722Z 2025-08-14T21:50:49.9602823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9603045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9603107Z return mod(*inputs) 2025-08-14T21:50:49.9603315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9603385Z x = self.forward_features(x) 2025-08-14T21:50:49.9603607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9603676Z x = self.blocks(x) 2025-08-14T21:50:49.9603893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9603955Z x = self.se(x) 2025-08-14T21:50:49.9604179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9604248Z return x * self.gate(x_se) 2025-08-14T21:50:49.9604252Z 2025-08-14T21:50:49.9604355Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9604542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9604622Z return mod(*inputs) 2025-08-14T21:50:49.9604834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9604902Z x = self.forward_features(x) 2025-08-14T21:50:49.9605130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9605200Z x = self.blocks(x) 2025-08-14T21:50:49.9605416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9605485Z x = self.se(x) 2025-08-14T21:50:49.9605712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9605780Z return x * self.gate(x_se) 2025-08-14T21:50:49.9605783Z 2025-08-14T21:50:49.9605868Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9605969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9606167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9606250Z return mod(*inputs) 2025-08-14T21:50:49.9606446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9606519Z x = self.forward_features(x) 2025-08-14T21:50:49.9606735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9606795Z x = self.blocks(x) 2025-08-14T21:50:49.9607017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9607080Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9607282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9607385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9607592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9607699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9607702Z 2025-08-14T21:50:49.9607799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9607986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9608056Z return mod(*inputs) 2025-08-14T21:50:49.9608270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9608347Z x = self.forward_features(x) 2025-08-14T21:50:49.9608578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9608639Z x = self.blocks(x) 2025-08-14T21:50:49.9608863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9608932Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9609134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9609238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9609449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9609554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9609558Z 2025-08-14T21:50:49.9609636Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9609737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9609934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9609997Z return mod(*inputs) 2025-08-14T21:50:49.9610203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9610295Z x = self.forward_features(x) 2025-08-14T21:50:49.9610523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9610591Z x = self.blocks(x) 2025-08-14T21:50:49.9610817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9610883Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9611099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9611215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9611428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9611535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9611540Z 2025-08-14T21:50:49.9611843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9612090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9612155Z return mod(*inputs) 2025-08-14T21:50:49.9612362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9612442Z x = self.forward_features(x) 2025-08-14T21:50:49.9612672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9612744Z x = self.blocks(x) 2025-08-14T21:50:49.9612966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9613034Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9613254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9613353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9613559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9613663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9613667Z 2025-08-14T21:50:49.9613744Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9613829Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9613932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9614157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9614233Z return mod(*inputs) 2025-08-14T21:50:49.9614441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9614511Z x = self.forward_features(x) 2025-08-14T21:50:49.9614745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9614809Z x = self.blocks(x) 2025-08-14T21:50:49.9615038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9615104Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9615305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9615381Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9615384Z 2025-08-14T21:50:49.9615489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9615684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9615755Z return mod(*inputs) 2025-08-14T21:50:49.9615960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9616036Z x = self.forward_features(x) 2025-08-14T21:50:49.9616380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9616453Z x = self.blocks(x) 2025-08-14T21:50:49.9616690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9616765Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9616769Z 2025-08-14T21:50:49.9616876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9617074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9617141Z return mod(*inputs) 2025-08-14T21:50:49.9617386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9617458Z x = self.forward_features(x) 2025-08-14T21:50:49.9617693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9617768Z x = self.blocks(x) 2025-08-14T21:50:49.9618014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9618087Z x = self.conv_pw(x) 2025-08-14T21:50:49.9618287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9618387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9618608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9618713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9618716Z 2025-08-14T21:50:49.9618819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9619020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9619086Z return mod(*inputs) 2025-08-14T21:50:49.9619297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9619368Z x = self.forward_features(x) 2025-08-14T21:50:49.9619596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9619667Z x = self.blocks(x) 2025-08-14T21:50:49.9619901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9619983Z x = self.conv_pw(x) 2025-08-14T21:50:49.9620195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9620294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9620512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9620614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9620617Z 2025-08-14T21:50:49.9620721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9620920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9620983Z return mod(*inputs) 2025-08-14T21:50:49.9621193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9621263Z x = self.forward_features(x) 2025-08-14T21:50:49.9621491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9621563Z x = self.blocks(x) 2025-08-14T21:50:49.9621781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9621845Z x = self.conv_pw(x) 2025-08-14T21:50:49.9622058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9622181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9622397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9622498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9622501Z 2025-08-14T21:50:49.9622604Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9622809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9622874Z return mod(*inputs) 2025-08-14T21:50:49.9623101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9623170Z x = self.forward_features(x) 2025-08-14T21:50:49.9623398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9623466Z x = self.blocks(x) 2025-08-14T21:50:49.9623687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9623770Z x = self.conv_pw(x) 2025-08-14T21:50:49.9623981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9624080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9624298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9624398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9624403Z 2025-08-14T21:50:49.9624482Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9624569Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9624669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9624861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9624937Z return mod(*inputs) 2025-08-14T21:50:49.9625144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9625219Z x = self.forward_features(x) 2025-08-14T21:50:49.9625447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9625510Z x = self.blocks(x) 2025-08-14T21:50:49.9625752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9625816Z x = self.conv_pw(x) 2025-08-14T21:50:49.9626022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9626097Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9626101Z 2025-08-14T21:50:49.9626204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9626405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9626470Z return mod(*inputs) 2025-08-14T21:50:49.9626675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9626750Z x = self.forward_features(x) 2025-08-14T21:50:49.9626978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9627040Z x = self.blocks(x) 2025-08-14T21:50:49.9627272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9627333Z x = self.bn1(x) 2025-08-14T21:50:49.9627536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9627599Z x = F.batch_norm( 2025-08-14T21:50:49.9627618Z 2025-08-14T21:50:49.9627720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9627921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9627986Z return mod(*inputs) 2025-08-14T21:50:49.9628197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9628275Z x = self.forward_features(x) 2025-08-14T21:50:49.9628506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9628579Z x = self.blocks(x) 2025-08-14T21:50:49.9628819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9628882Z x = self.bn1(x) 2025-08-14T21:50:49.9629091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9629155Z x = self.act(x) 2025-08-14T21:50:49.9629158Z 2025-08-14T21:50:49.9629244Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9629362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9629551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9629623Z return mod(*inputs) 2025-08-14T21:50:49.9629837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9629905Z x = self.forward_features(x) 2025-08-14T21:50:49.9630137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9630200Z x = self.blocks(x) 2025-08-14T21:50:49.9630421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9630484Z x = self.conv_dw(x) 2025-08-14T21:50:49.9630678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9630787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9630991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9631088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9631091Z 2025-08-14T21:50:49.9631198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9631398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9631469Z return mod(*inputs) 2025-08-14T21:50:49.9631672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9631742Z x = self.forward_features(x) 2025-08-14T21:50:49.9631973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9632037Z x = self.blocks(x) 2025-08-14T21:50:49.9632251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9632322Z x = self.conv_dw(x) 2025-08-14T21:50:49.9632518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9632623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9632830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9632930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9632933Z 2025-08-14T21:50:49.9633019Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9633119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9633324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9633405Z return mod(*inputs) 2025-08-14T21:50:49.9633610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9633685Z x = self.forward_features(x) 2025-08-14T21:50:49.9633908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9633969Z x = self.blocks(x) 2025-08-14T21:50:49.9634188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9634249Z x = self.conv_dw(x) 2025-08-14T21:50:49.9634461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9634559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9634767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9634873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9634901Z 2025-08-14T21:50:49.9635002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9635191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9635262Z return mod(*inputs) 2025-08-14T21:50:49.9635462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9635539Z x = self.forward_features(x) 2025-08-14T21:50:49.9635767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9635828Z x = self.blocks(x) 2025-08-14T21:50:49.9636050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9636111Z x = self.conv_dw(x) 2025-08-14T21:50:49.9636319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9636424Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9636624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9636728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9636731Z 2025-08-14T21:50:49.9636806Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9636920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9637116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9637176Z return mod(*inputs) 2025-08-14T21:50:49.9637380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9637446Z x = self.forward_features(x) 2025-08-14T21:50:49.9637666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9637733Z x = self.blocks(x) 2025-08-14T21:50:49.9637947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9638006Z x = self.conv_dw(x) 2025-08-14T21:50:49.9638208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9638303Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9638551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9638648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9638651Z 2025-08-14T21:50:49.9638749Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9638964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9639029Z return mod(*inputs) 2025-08-14T21:50:49.9639233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9639305Z x = self.forward_features(x) 2025-08-14T21:50:49.9639525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9639592Z x = self.blocks(x) 2025-08-14T21:50:49.9639809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9639870Z x = self.conv_dw(x) 2025-08-14T21:50:49.9640090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9640189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9640412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9640538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9640541Z 2025-08-14T21:50:49.9640621Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9640729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9640922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9640986Z return mod(*inputs) 2025-08-14T21:50:49.9641201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9641272Z x = self.forward_features(x) 2025-08-14T21:50:49.9641505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9641578Z x = self.blocks(x) 2025-08-14T21:50:49.9641789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9641857Z x = self.conv_dw(x) 2025-08-14T21:50:49.9642054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9642149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9642359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9642456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9642459Z 2025-08-14T21:50:49.9642581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9642773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9642836Z return mod(*inputs) 2025-08-14T21:50:49.9643043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9643113Z x = self.forward_features(x) 2025-08-14T21:50:49.9643334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9643403Z x = self.blocks(x) 2025-08-14T21:50:49.9643617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9643687Z x = self.conv_dw(x) 2025-08-14T21:50:49.9643884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9643983Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9644194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9644290Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9644293Z 2025-08-14T21:50:49.9644377Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9644473Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9644548Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9644632Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9644735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9644922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9644993Z return mod(*inputs) 2025-08-14T21:50:49.9645195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9645263Z x = self.forward_features(x) 2025-08-14T21:50:49.9645510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9645573Z x = self.blocks(x) 2025-08-14T21:50:49.9645801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9645865Z x = self.conv_dw(x) 2025-08-14T21:50:49.9646063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9646152Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9646156Z 2025-08-14T21:50:49.9646232Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9646337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9646524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9646587Z return mod(*inputs) 2025-08-14T21:50:49.9646796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9646865Z x = self.forward_features(x) 2025-08-14T21:50:49.9647089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9647157Z x = self.blocks(x) 2025-08-14T21:50:49.9647375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9647444Z x = self.se(x) 2025-08-14T21:50:49.9647667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9647741Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9647744Z 2025-08-14T21:50:49.9647846Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9648050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9648115Z return mod(*inputs) 2025-08-14T21:50:49.9648327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9648397Z x = self.forward_features(x) 2025-08-14T21:50:49.9648631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9648695Z x = self.blocks(x) 2025-08-14T21:50:49.9648911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9648979Z x = self.se(x) 2025-08-14T21:50:49.9649197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9649264Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9649267Z 2025-08-14T21:50:49.9649375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9649565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9649637Z return mod(*inputs) 2025-08-14T21:50:49.9649841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9649908Z x = self.forward_features(x) 2025-08-14T21:50:49.9650138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9650220Z x = self.blocks(x) 2025-08-14T21:50:49.9650436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9650501Z x = self.se(x) 2025-08-14T21:50:49.9650723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9650797Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9650800Z 2025-08-14T21:50:49.9650900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9651109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9651182Z return mod(*inputs) 2025-08-14T21:50:49.9651392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9651467Z x = self.forward_features(x) 2025-08-14T21:50:49.9651694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9651771Z x = self.blocks(x) 2025-08-14T21:50:49.9652005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9652066Z x = self.se(x) 2025-08-14T21:50:49.9652289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9652367Z return x * self.gate(x_se) 2025-08-14T21:50:49.9652371Z 2025-08-14T21:50:49.9652471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9652679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9652742Z return mod(*inputs) 2025-08-14T21:50:49.9652952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9653029Z x = self.forward_features(x) 2025-08-14T21:50:49.9653261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9653323Z x = self.blocks(x) 2025-08-14T21:50:49.9653558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9653619Z x = self.se(x) 2025-08-14T21:50:49.9653850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9653935Z return x * self.gate(x_se) 2025-08-14T21:50:49.9653938Z 2025-08-14T21:50:49.9654038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9654236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9654299Z return mod(*inputs) 2025-08-14T21:50:49.9654508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9654586Z x = self.forward_features(x) 2025-08-14T21:50:49.9654814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9654884Z x = self.blocks(x) 2025-08-14T21:50:49.9655108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9655170Z x = self.se(x) 2025-08-14T21:50:49.9655404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9655477Z return x * self.gate(x_se) 2025-08-14T21:50:49.9655482Z 2025-08-14T21:50:49.9655562Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9655675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9655873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9655963Z return mod(*inputs) 2025-08-14T21:50:49.9656178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9656344Z x = self.forward_features(x) 2025-08-14T21:50:49.9656612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9656679Z x = self.blocks(x) 2025-08-14T21:50:49.9656907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9656990Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9657235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9657350Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9657577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9657680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9657701Z 2025-08-14T21:50:49.9657811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9658003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9658073Z return mod(*inputs) 2025-08-14T21:50:49.9658281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9658351Z x = self.forward_features(x) 2025-08-14T21:50:49.9658578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9658642Z x = self.blocks(x) 2025-08-14T21:50:49.9658857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9658929Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9659124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9659231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9659436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9659533Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9659536Z 2025-08-14T21:50:49.9659623Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9659740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9659933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9660005Z return mod(*inputs) 2025-08-14T21:50:49.9660212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9660287Z x = self.forward_features(x) 2025-08-14T21:50:49.9660512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9660575Z x = self.blocks(x) 2025-08-14T21:50:49.9660802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9660868Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9661068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9661174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9661396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9661499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9661502Z 2025-08-14T21:50:49.9661601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9661789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9661877Z return mod(*inputs) 2025-08-14T21:50:49.9662081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9662157Z x = self.forward_features(x) 2025-08-14T21:50:49.9662380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9662442Z x = self.blocks(x) 2025-08-14T21:50:49.9662666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9662730Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9662940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9663049Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9663259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9663364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9663385Z 2025-08-14T21:50:49.9663464Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9663542Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9663651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9663845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9663908Z return mod(*inputs) 2025-08-14T21:50:49.9664125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9664197Z x = self.forward_features(x) 2025-08-14T21:50:49.9664431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9664494Z x = self.blocks(x) 2025-08-14T21:50:49.9664713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9664787Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9664987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9665054Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9665064Z 2025-08-14T21:50:49.9665165Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9665357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9665444Z return mod(*inputs) 2025-08-14T21:50:49.9665654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9665723Z x = self.forward_features(x) 2025-08-14T21:50:49.9665959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9666021Z x = self.blocks(x) 2025-08-14T21:50:49.9666250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9666324Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9666327Z 2025-08-14T21:50:49.9666429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9666624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9666686Z return mod(*inputs) 2025-08-14T21:50:49.9666892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9666969Z x = self.forward_features(x) 2025-08-14T21:50:49.9667196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9667265Z x = self.blocks(x) 2025-08-14T21:50:49.9667484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9667566Z x = self.conv_pw(x) 2025-08-14T21:50:49.9667773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9667875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9668085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9668192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9668195Z 2025-08-14T21:50:49.9668300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9668519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9668586Z return mod(*inputs) 2025-08-14T21:50:49.9668796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9668874Z x = self.forward_features(x) 2025-08-14T21:50:49.9669107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9669198Z x = self.blocks(x) 2025-08-14T21:50:49.9669427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9669491Z x = self.conv_pw(x) 2025-08-14T21:50:49.9669705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9669808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9670027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9670136Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9670139Z 2025-08-14T21:50:49.9670242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9670443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9670509Z return mod(*inputs) 2025-08-14T21:50:49.9670720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9670798Z x = self.forward_features(x) 2025-08-14T21:50:49.9671028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9671090Z x = self.blocks(x) 2025-08-14T21:50:49.9671340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9671407Z x = self.conv_pw(x) 2025-08-14T21:50:49.9671619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9671719Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9671937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9672045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9672049Z 2025-08-14T21:50:49.9672150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9672351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9672414Z return mod(*inputs) 2025-08-14T21:50:49.9672621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9672698Z x = self.forward_features(x) 2025-08-14T21:50:49.9672936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9672998Z x = self.blocks(x) 2025-08-14T21:50:49.9673227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9673308Z x = self.conv_pw(x) 2025-08-14T21:50:49.9673524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9673635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9673842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9673945Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9673948Z 2025-08-14T21:50:49.9674026Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9674101Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9674223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9674411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9674483Z return mod(*inputs) 2025-08-14T21:50:49.9674687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9674772Z x = self.forward_features(x) 2025-08-14T21:50:49.9675005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9675065Z x = self.blocks(x) 2025-08-14T21:50:49.9675282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:49.9675352Z x = self.conv_pw(x) 2025-08-14T21:50:49.9675553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9675626Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9675629Z 2025-08-14T21:50:49.9675727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9675918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9675990Z return mod(*inputs) 2025-08-14T21:50:49.9676193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9676263Z x = self.forward_features(x) 2025-08-14T21:50:49.9676496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9676556Z x = self.blocks(x) 2025-08-14T21:50:49.9676780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9676855Z x = self.bn1(x) 2025-08-14T21:50:49.9677051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:49.9677120Z x = F.batch_norm( 2025-08-14T21:50:49.9677124Z 2025-08-14T21:50:49.9677221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9677414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9677478Z return mod(*inputs) 2025-08-14T21:50:49.9677682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9677755Z x = self.forward_features(x) 2025-08-14T21:50:49.9677975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9678035Z x = self.blocks(x) 2025-08-14T21:50:49.9678262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9678323Z x = self.bn1(x) 2025-08-14T21:50:49.9678524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9678585Z x = self.act(x) 2025-08-14T21:50:49.9678589Z 2025-08-14T21:50:49.9678666Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9678769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9678985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9679050Z return mod(*inputs) 2025-08-14T21:50:49.9679260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9679327Z x = self.forward_features(x) 2025-08-14T21:50:49.9679561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9679622Z x = self.blocks(x) 2025-08-14T21:50:49.9679840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9679924Z x = self.conv_dw(x) 2025-08-14T21:50:49.9680121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9680221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9680434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9680550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9680553Z 2025-08-14T21:50:49.9680660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9680850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9680913Z return mod(*inputs) 2025-08-14T21:50:49.9681129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9681197Z x = self.forward_features(x) 2025-08-14T21:50:49.9681426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9681495Z x = self.blocks(x) 2025-08-14T21:50:49.9681720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9681790Z x = self.conv_dw(x) 2025-08-14T21:50:49.9681991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9682089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9682302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9682401Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9682404Z 2025-08-14T21:50:49.9682507Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9682611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9682799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9682868Z return mod(*inputs) 2025-08-14T21:50:49.9683070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9683138Z x = self.forward_features(x) 2025-08-14T21:50:49.9683372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9683433Z x = self.blocks(x) 2025-08-14T21:50:49.9683656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9683719Z x = self.conv_dw(x) 2025-08-14T21:50:49.9683915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9684019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9684226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9684321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9684349Z 2025-08-14T21:50:49.9684451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9684647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9684719Z return mod(*inputs) 2025-08-14T21:50:49.9684924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9684991Z x = self.forward_features(x) 2025-08-14T21:50:49.9685221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9685282Z x = self.blocks(x) 2025-08-14T21:50:49.9685515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9685586Z x = self.conv_dw(x) 2025-08-14T21:50:49.9685782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9685890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9686096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9686211Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9686214Z 2025-08-14T21:50:49.9686299Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9686400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9686591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9686655Z return mod(*inputs) 2025-08-14T21:50:49.9686858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9686929Z x = self.forward_features(x) 2025-08-14T21:50:49.9687149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9687210Z x = self.blocks(x) 2025-08-14T21:50:49.9687428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9687490Z x = self.conv_dw(x) 2025-08-14T21:50:49.9687691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9687788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9687992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9688111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9688114Z 2025-08-14T21:50:49.9688215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9688404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9688474Z return mod(*inputs) 2025-08-14T21:50:49.9688676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9688754Z x = self.forward_features(x) 2025-08-14T21:50:49.9688977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9689041Z x = self.blocks(x) 2025-08-14T21:50:49.9689266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9689329Z x = self.conv_dw(x) 2025-08-14T21:50:49.9689527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9689636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9689844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9689951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9689971Z 2025-08-14T21:50:49.9690048Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9690149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9690346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9690408Z return mod(*inputs) 2025-08-14T21:50:49.9690617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9690687Z x = self.forward_features(x) 2025-08-14T21:50:49.9690916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9690999Z x = self.blocks(x) 2025-08-14T21:50:49.9691226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9691289Z x = self.conv_dw(x) 2025-08-14T21:50:49.9691500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9691616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9691838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9691947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9691951Z 2025-08-14T21:50:49.9692050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9692248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9692311Z return mod(*inputs) 2025-08-14T21:50:49.9692510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9692586Z x = self.forward_features(x) 2025-08-14T21:50:49.9692808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9692878Z x = self.blocks(x) 2025-08-14T21:50:49.9693094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9693155Z x = self.conv_dw(x) 2025-08-14T21:50:49.9693358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9693453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9693680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9693780Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9693783Z 2025-08-14T21:50:49.9693860Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9693941Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9694015Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9694091Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9694197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9694384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9694454Z return mod(*inputs) 2025-08-14T21:50:49.9694656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9694724Z x = self.forward_features(x) 2025-08-14T21:50:49.9694955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9695016Z x = self.blocks(x) 2025-08-14T21:50:49.9695232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9695304Z x = self.conv_dw(x) 2025-08-14T21:50:49.9695500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9695592Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9695596Z 2025-08-14T21:50:49.9695675Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9695774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9695971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9696035Z return mod(*inputs) 2025-08-14T21:50:49.9696329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9696428Z x = self.forward_features(x) 2025-08-14T21:50:49.9696691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9696766Z x = self.blocks(x) 2025-08-14T21:50:49.9696996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9697062Z x = self.se(x) 2025-08-14T21:50:49.9697311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9697407Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9697411Z 2025-08-14T21:50:49.9697515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9697731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9697794Z return mod(*inputs) 2025-08-14T21:50:49.9698007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9698077Z x = self.forward_features(x) 2025-08-14T21:50:49.9698301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9698374Z x = self.blocks(x) 2025-08-14T21:50:49.9698591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9698653Z x = self.se(x) 2025-08-14T21:50:49.9698878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9698946Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9698949Z 2025-08-14T21:50:49.9699052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9699238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9699299Z return mod(*inputs) 2025-08-14T21:50:49.9699535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9699606Z x = self.forward_features(x) 2025-08-14T21:50:49.9699830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9699898Z x = self.blocks(x) 2025-08-14T21:50:49.9700112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9700183Z x = self.se(x) 2025-08-14T21:50:49.9700404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9700472Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9700475Z 2025-08-14T21:50:49.9700584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9700775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9700849Z return mod(*inputs) 2025-08-14T21:50:49.9701058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9701128Z x = self.forward_features(x) 2025-08-14T21:50:49.9701366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9701448Z x = self.blocks(x) 2025-08-14T21:50:49.9701677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9701748Z x = self.se(x) 2025-08-14T21:50:49.9701971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9702059Z return x * self.gate(x_se) 2025-08-14T21:50:49.9702063Z 2025-08-14T21:50:49.9702161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9702350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9702419Z return mod(*inputs) 2025-08-14T21:50:49.9702639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9702707Z x = self.forward_features(x) 2025-08-14T21:50:49.9702940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9703002Z x = self.blocks(x) 2025-08-14T21:50:49.9703249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9703307Z x = self.se(x) 2025-08-14T21:50:49.9703513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9703586Z return x * self.gate(x_se) 2025-08-14T21:50:49.9703589Z 2025-08-14T21:50:49.9703684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9703869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9703936Z return mod(*inputs) 2025-08-14T21:50:49.9704133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9704202Z x = self.forward_features(x) 2025-08-14T21:50:49.9704424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9704488Z x = self.blocks(x) 2025-08-14T21:50:49.9704710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9704771Z x = self.se(x) 2025-08-14T21:50:49.9704983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9705057Z return x * self.gate(x_se) 2025-08-14T21:50:49.9705060Z 2025-08-14T21:50:49.9705154Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9705262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9705451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9705513Z return mod(*inputs) 2025-08-14T21:50:49.9705722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9705791Z x = self.forward_features(x) 2025-08-14T21:50:49.9706022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9706082Z x = self.blocks(x) 2025-08-14T21:50:49.9706302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9706377Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9706578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9706680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9706898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9706998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9707001Z 2025-08-14T21:50:49.9707123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9707313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9707378Z return mod(*inputs) 2025-08-14T21:50:49.9707590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9707658Z x = self.forward_features(x) 2025-08-14T21:50:49.9707882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9707953Z x = self.blocks(x) 2025-08-14T21:50:49.9708184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9708258Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9708456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9708555Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9708770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9708887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9708890Z 2025-08-14T21:50:49.9708976Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9709076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9709263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9709333Z return mod(*inputs) 2025-08-14T21:50:49.9709534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9709602Z x = self.forward_features(x) 2025-08-14T21:50:49.9709832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9709895Z x = self.blocks(x) 2025-08-14T21:50:49.9710118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9710185Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9710381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9710487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9710692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9710805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9710808Z 2025-08-14T21:50:49.9710919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9711107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9711176Z return mod(*inputs) 2025-08-14T21:50:49.9711379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9711452Z x = self.forward_features(x) 2025-08-14T21:50:49.9711863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9711930Z x = self.blocks(x) 2025-08-14T21:50:49.9712162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9712237Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9712441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9712550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9712759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9712858Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9712911Z 2025-08-14T21:50:49.9712999Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9713077Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9713183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9713372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9713435Z return mod(*inputs) 2025-08-14T21:50:49.9713642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9713710Z x = self.forward_features(x) 2025-08-14T21:50:49.9713955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9714026Z x = self.blocks(x) 2025-08-14T21:50:49.9714244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9714320Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9714521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9714619Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9714623Z 2025-08-14T21:50:49.9714729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9714914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9714976Z return mod(*inputs) 2025-08-14T21:50:49.9715184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9715252Z x = self.forward_features(x) 2025-08-14T21:50:49.9715482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9715542Z x = self.blocks(x) 2025-08-14T21:50:49.9715757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9715838Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9715841Z 2025-08-14T21:50:49.9715942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9716125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9716197Z return mod(*inputs) 2025-08-14T21:50:49.9716394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9716468Z x = self.forward_features(x) 2025-08-14T21:50:49.9716713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9716774Z x = self.blocks(x) 2025-08-14T21:50:49.9717000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9717061Z x = self.bn1(x) 2025-08-14T21:50:49.9717251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9717320Z x = self.act(x) 2025-08-14T21:50:49.9717325Z 2025-08-14T21:50:49.9717422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9717620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9717683Z return mod(*inputs) 2025-08-14T21:50:49.9717885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9717960Z x = self.forward_features(x) 2025-08-14T21:50:49.9718186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9718247Z x = self.blocks(x) 2025-08-14T21:50:49.9718470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9718531Z x = self.bn1(x) 2025-08-14T21:50:49.9718746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9718808Z x = self.act(x) 2025-08-14T21:50:49.9718812Z 2025-08-14T21:50:49.9718909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9719104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9719166Z return mod(*inputs) 2025-08-14T21:50:49.9719374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9719445Z x = self.forward_features(x) 2025-08-14T21:50:49.9719685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9719755Z x = self.blocks(x) 2025-08-14T21:50:49.9719973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9720036Z x = self.conv_dw(x) 2025-08-14T21:50:49.9720246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9720375Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9720586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9720689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9720893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9720966Z return conv2d_same( 2025-08-14T21:50:49.9721179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9721284Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9721491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9721640Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9721838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9721939Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9721942Z 2025-08-14T21:50:49.9722045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9722248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9722328Z return mod(*inputs) 2025-08-14T21:50:49.9722547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9722619Z x = self.forward_features(x) 2025-08-14T21:50:49.9722847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9722919Z x = self.blocks(x) 2025-08-14T21:50:49.9723139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9723205Z x = self.conv_dw(x) 2025-08-14T21:50:49.9723415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9723515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9723738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9723841Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9724048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9724122Z return conv2d_same( 2025-08-14T21:50:49.9724336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9724489Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9724502Z 2025-08-14T21:50:49.9724608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9724809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9724881Z return mod(*inputs) 2025-08-14T21:50:49.9725099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9725168Z x = self.forward_features(x) 2025-08-14T21:50:49.9725420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9725484Z x = self.blocks(x) 2025-08-14T21:50:49.9725715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9725779Z x = self.conv_dw(x) 2025-08-14T21:50:49.9725983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9726125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9726335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9726434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9726643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9726709Z return conv2d_same( 2025-08-14T21:50:49.9726926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9727055Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9727058Z 2025-08-14T21:50:49.9727160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9727365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9727430Z return mod(*inputs) 2025-08-14T21:50:49.9727637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9727714Z x = self.forward_features(x) 2025-08-14T21:50:49.9727942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9728011Z x = self.blocks(x) 2025-08-14T21:50:49.9728246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9728309Z x = self.conv_dw(x) 2025-08-14T21:50:49.9728520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9728621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9728834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9728944Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9729146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9729217Z return conv2d_same( 2025-08-14T21:50:49.9729433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9729537Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9729739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9729882Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9730077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9730193Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9730196Z 2025-08-14T21:50:49.9730300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9730504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9730571Z return mod(*inputs) 2025-08-14T21:50:49.9730782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9730861Z x = self.forward_features(x) 2025-08-14T21:50:49.9731099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9731188Z x = self.blocks(x) 2025-08-14T21:50:49.9731416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9731479Z x = self.conv_dw(x) 2025-08-14T21:50:49.9731696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9731800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9732032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9732142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9732351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9732423Z return conv2d_same( 2025-08-14T21:50:49.9732647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9732782Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9732786Z 2025-08-14T21:50:49.9732902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9733106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9733183Z return mod(*inputs) 2025-08-14T21:50:49.9733402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9733477Z x = self.forward_features(x) 2025-08-14T21:50:49.9733721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9733789Z x = self.blocks(x) 2025-08-14T21:50:49.9734037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9734111Z x = self.conv_dw(x) 2025-08-14T21:50:49.9734321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9734434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9734652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9734757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9734971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9735038Z return conv2d_same( 2025-08-14T21:50:49.9735256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9735392Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9735395Z 2025-08-14T21:50:49.9735501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9735710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9735775Z return mod(*inputs) 2025-08-14T21:50:49.9735987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9736087Z x = self.forward_features(x) 2025-08-14T21:50:49.9736472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9736567Z x = self.blocks(x) 2025-08-14T21:50:49.9736802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9736867Z x = self.conv_dw(x) 2025-08-14T21:50:49.9737086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9737190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9737423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9737534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9737738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9737813Z return conv2d_same( 2025-08-14T21:50:49.9738031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9738153Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9738361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9738502Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9738691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9738800Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9738803Z 2025-08-14T21:50:49.9738907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9739110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9739177Z return mod(*inputs) 2025-08-14T21:50:49.9739383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9739464Z x = self.forward_features(x) 2025-08-14T21:50:49.9739693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9739764Z x = self.blocks(x) 2025-08-14T21:50:49.9739985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9740065Z x = self.conv_dw(x) 2025-08-14T21:50:49.9740276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9740378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9740589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9740697Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9740898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9740970Z return conv2d_same( 2025-08-14T21:50:49.9741177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9741303Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9741306Z 2025-08-14T21:50:49.9741420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9741616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9741679Z return mod(*inputs) 2025-08-14T21:50:49.9741893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9741965Z x = self.forward_features(x) 2025-08-14T21:50:49.9742220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9742286Z x = self.blocks(x) 2025-08-14T21:50:49.9742508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9742579Z x = self.conv_dw(x) 2025-08-14T21:50:49.9742779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9742885Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9743123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9743223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9743432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9743497Z return conv2d_same( 2025-08-14T21:50:49.9743710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9743862Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9743866Z 2025-08-14T21:50:49.9743979Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9744174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9744236Z return mod(*inputs) 2025-08-14T21:50:49.9744440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9744517Z x = self.forward_features(x) 2025-08-14T21:50:49.9744739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9744799Z x = self.blocks(x) 2025-08-14T21:50:49.9745021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9745084Z x = self.conv_dw(x) 2025-08-14T21:50:49.9745287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9745383Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9745585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9745687Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9745898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9745963Z return conv2d_same( 2025-08-14T21:50:49.9746177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:49.9746272Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:49.9746473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:49.9746609Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:49.9746795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:49.9746897Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:49.9746900Z 2025-08-14T21:50:49.9747001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9747201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9747263Z return mod(*inputs) 2025-08-14T21:50:49.9747467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9747544Z x = self.forward_features(x) 2025-08-14T21:50:49.9747770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9747850Z x = self.blocks(x) 2025-08-14T21:50:49.9748075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9748137Z x = self.conv_dw(x) 2025-08-14T21:50:49.9748340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9748438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9748648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9748771Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9748966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9749030Z return conv2d_same( 2025-08-14T21:50:49.9749245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9749382Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9749385Z 2025-08-14T21:50:49.9749496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9749687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9749749Z return mod(*inputs) 2025-08-14T21:50:49.9749959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9750029Z x = self.forward_features(x) 2025-08-14T21:50:49.9750264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9750326Z x = self.blocks(x) 2025-08-14T21:50:49.9750544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9750615Z x = self.conv_dw(x) 2025-08-14T21:50:49.9750814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9750912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9751123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9751218Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9751441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:49.9751507Z return conv2d_same( 2025-08-14T21:50:49.9751717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:49.9751847Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:49.9751850Z 2025-08-14T21:50:49.9751934Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9752014Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9752102Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9752178Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9752287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9752481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9752545Z return mod(*inputs) 2025-08-14T21:50:49.9752770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9752838Z x = self.forward_features(x) 2025-08-14T21:50:49.9753062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9753130Z x = self.blocks(x) 2025-08-14T21:50:49.9753345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9753436Z x = self.conv_dw(x) 2025-08-14T21:50:49.9753638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9753706Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9753709Z 2025-08-14T21:50:49.9753793Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9753892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9754083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9754155Z return mod(*inputs) 2025-08-14T21:50:49.9754376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9754453Z x = self.forward_features(x) 2025-08-14T21:50:49.9754682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9754745Z x = self.blocks(x) 2025-08-14T21:50:49.9754972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9755050Z x = self.se(x) 2025-08-14T21:50:49.9755266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9755347Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9755350Z 2025-08-14T21:50:49.9755449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9755647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9755709Z return mod(*inputs) 2025-08-14T21:50:49.9755920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9755997Z x = self.forward_features(x) 2025-08-14T21:50:49.9756216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9756286Z x = self.blocks(x) 2025-08-14T21:50:49.9756503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9756563Z x = self.se(x) 2025-08-14T21:50:49.9756783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9756848Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9756851Z 2025-08-14T21:50:49.9756949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9757158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9757222Z return mod(*inputs) 2025-08-14T21:50:49.9757427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9757495Z x = self.forward_features(x) 2025-08-14T21:50:49.9757717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9757786Z x = self.blocks(x) 2025-08-14T21:50:49.9757998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9758057Z x = self.se(x) 2025-08-14T21:50:49.9758276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9758340Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9758343Z 2025-08-14T21:50:49.9758447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9758636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9758697Z return mod(*inputs) 2025-08-14T21:50:49.9758904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9758986Z x = self.forward_features(x) 2025-08-14T21:50:49.9759212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9759281Z x = self.blocks(x) 2025-08-14T21:50:49.9759505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9759575Z x = self.se(x) 2025-08-14T21:50:49.9759789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9759859Z return x * self.gate(x_se) 2025-08-14T21:50:49.9759862Z 2025-08-14T21:50:49.9759969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9760175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9760246Z return mod(*inputs) 2025-08-14T21:50:49.9760448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9760518Z x = self.forward_features(x) 2025-08-14T21:50:49.9760764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9760824Z x = self.blocks(x) 2025-08-14T21:50:49.9761054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9761124Z x = self.se(x) 2025-08-14T21:50:49.9761342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9761421Z return x * self.gate(x_se) 2025-08-14T21:50:49.9761424Z 2025-08-14T21:50:49.9761526Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9761718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9761791Z return mod(*inputs) 2025-08-14T21:50:49.9762000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9762070Z x = self.forward_features(x) 2025-08-14T21:50:49.9762303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9762365Z x = self.blocks(x) 2025-08-14T21:50:49.9762595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9762666Z x = self.se(x) 2025-08-14T21:50:49.9762894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9762972Z return x * self.gate(x_se) 2025-08-14T21:50:49.9762975Z 2025-08-14T21:50:49.9763075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9763269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9763341Z return mod(*inputs) 2025-08-14T21:50:49.9763553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9763632Z x = self.forward_features(x) 2025-08-14T21:50:49.9763863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9763925Z x = self.blocks(x) 2025-08-14T21:50:49.9764156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9764225Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9764229Z 2025-08-14T21:50:49.9764337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9764537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9764601Z return mod(*inputs) 2025-08-14T21:50:49.9764815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9764913Z x = self.forward_features(x) 2025-08-14T21:50:49.9765151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9765222Z x = self.blocks(x) 2025-08-14T21:50:49.9765452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9765528Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9765531Z 2025-08-14T21:50:49.9765634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9765831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9765917Z return mod(*inputs) 2025-08-14T21:50:49.9766127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9766195Z x = self.forward_features(x) 2025-08-14T21:50:49.9766435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9766512Z x = self.blocks(x) 2025-08-14T21:50:49.9766747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9766808Z x = self.bn1(x) 2025-08-14T21:50:49.9767006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9767075Z x = self.act(x) 2025-08-14T21:50:49.9767079Z 2025-08-14T21:50:49.9767180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9767374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9767447Z return mod(*inputs) 2025-08-14T21:50:49.9767655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9767733Z x = self.forward_features(x) 2025-08-14T21:50:49.9767962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9768026Z x = self.blocks(x) 2025-08-14T21:50:49.9768252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9768314Z x = self.bn1(x) 2025-08-14T21:50:49.9768510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9768580Z x = self.act(x) 2025-08-14T21:50:49.9768600Z 2025-08-14T21:50:49.9768702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9768904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9768969Z return mod(*inputs) 2025-08-14T21:50:49.9769175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9769254Z x = self.forward_features(x) 2025-08-14T21:50:49.9769489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9769552Z x = self.blocks(x) 2025-08-14T21:50:49.9769780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9769843Z x = self.conv_dw(x) 2025-08-14T21:50:49.9770054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9770158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9770372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9770481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9770484Z 2025-08-14T21:50:49.9770584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9770801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9770867Z return mod(*inputs) 2025-08-14T21:50:49.9771073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9771150Z x = self.forward_features(x) 2025-08-14T21:50:49.9771380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9771443Z x = self.blocks(x) 2025-08-14T21:50:49.9771689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9771755Z x = self.conv_dw(x) 2025-08-14T21:50:49.9771971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9772072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9772289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9772416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9772420Z 2025-08-14T21:50:49.9772522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9772727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9772791Z return mod(*inputs) 2025-08-14T21:50:49.9773001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9773077Z x = self.forward_features(x) 2025-08-14T21:50:49.9773309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9773371Z x = self.blocks(x) 2025-08-14T21:50:49.9773618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9773684Z x = self.conv_dw(x) 2025-08-14T21:50:49.9773897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9773995Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9774209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9774314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9774334Z 2025-08-14T21:50:49.9774438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9774632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9774706Z return mod(*inputs) 2025-08-14T21:50:49.9774918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9774998Z x = self.forward_features(x) 2025-08-14T21:50:49.9775233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9775299Z x = self.blocks(x) 2025-08-14T21:50:49.9775532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9775598Z x = self.conv_dw(x) 2025-08-14T21:50:49.9775808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9775919Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9776139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9776352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9776361Z 2025-08-14T21:50:49.9776474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9776720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9776803Z return mod(*inputs) 2025-08-14T21:50:49.9777039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9777124Z x = self.forward_features(x) 2025-08-14T21:50:49.9777361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9777426Z x = self.blocks(x) 2025-08-14T21:50:49.9777663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9777741Z x = self.conv_dw(x) 2025-08-14T21:50:49.9777943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9778048Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9778262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9778383Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9778387Z 2025-08-14T21:50:49.9778500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9778687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9778758Z return mod(*inputs) 2025-08-14T21:50:49.9778958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9779025Z x = self.forward_features(x) 2025-08-14T21:50:49.9779255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9779315Z x = self.blocks(x) 2025-08-14T21:50:49.9779534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9779596Z x = self.conv_dw(x) 2025-08-14T21:50:49.9779791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9779894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9780099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9780193Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9780204Z 2025-08-14T21:50:49.9780320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9780518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9780589Z return mod(*inputs) 2025-08-14T21:50:49.9780802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9780875Z x = self.forward_features(x) 2025-08-14T21:50:49.9781117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9781183Z x = self.blocks(x) 2025-08-14T21:50:49.9781417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9781481Z x = self.conv_dw(x) 2025-08-14T21:50:49.9781692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9781799Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9782011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9782112Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9782122Z 2025-08-14T21:50:49.9782232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9782438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9782510Z return mod(*inputs) 2025-08-14T21:50:49.9782716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9782786Z x = self.forward_features(x) 2025-08-14T21:50:49.9783020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9783083Z x = self.blocks(x) 2025-08-14T21:50:49.9783303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9783390Z x = self.conv_dw(x) 2025-08-14T21:50:49.9783589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9783691Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9783896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9784005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9784009Z 2025-08-14T21:50:49.9784094Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9784170Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9784248Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9784320Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9784417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9784612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9784675Z return mod(*inputs) 2025-08-14T21:50:49.9784879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9784952Z x = self.forward_features(x) 2025-08-14T21:50:49.9785178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9785245Z x = self.blocks(x) 2025-08-14T21:50:49.9785461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9785522Z x = self.conv_dw(x) 2025-08-14T21:50:49.9785726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9785791Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9785794Z 2025-08-14T21:50:49.9785892Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9785998Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9786190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9786261Z return mod(*inputs) 2025-08-14T21:50:49.9786462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9786530Z x = self.forward_features(x) 2025-08-14T21:50:49.9786760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9786821Z x = self.blocks(x) 2025-08-14T21:50:49.9787034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9787101Z x = self.se(x) 2025-08-14T21:50:49.9787315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9787395Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9787398Z 2025-08-14T21:50:49.9787497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9787684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9787752Z return mod(*inputs) 2025-08-14T21:50:49.9787978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9788047Z x = self.forward_features(x) 2025-08-14T21:50:49.9788275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9788335Z x = self.blocks(x) 2025-08-14T21:50:49.9788565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9788624Z x = self.se(x) 2025-08-14T21:50:49.9788839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9788930Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9788933Z 2025-08-14T21:50:49.9789033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9789221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9789292Z return mod(*inputs) 2025-08-14T21:50:49.9789495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9789585Z x = self.forward_features(x) 2025-08-14T21:50:49.9789813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9789873Z x = self.blocks(x) 2025-08-14T21:50:49.9790097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9790157Z x = self.se(x) 2025-08-14T21:50:49.9790372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9790444Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9790447Z 2025-08-14T21:50:49.9790544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9790740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9790802Z return mod(*inputs) 2025-08-14T21:50:49.9791008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9791082Z x = self.forward_features(x) 2025-08-14T21:50:49.9791307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9791374Z x = self.blocks(x) 2025-08-14T21:50:49.9791603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9791661Z x = self.se(x) 2025-08-14T21:50:49.9791884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9791953Z return x * self.gate(x_se) 2025-08-14T21:50:49.9791957Z 2025-08-14T21:50:49.9792053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9792252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9792315Z return mod(*inputs) 2025-08-14T21:50:49.9792524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9792592Z x = self.forward_features(x) 2025-08-14T21:50:49.9792812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9792879Z x = self.blocks(x) 2025-08-14T21:50:49.9793092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9793151Z x = self.se(x) 2025-08-14T21:50:49.9793374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9793442Z return x * self.gate(x_se) 2025-08-14T21:50:49.9793445Z 2025-08-14T21:50:49.9793563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9793750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9793814Z return mod(*inputs) 2025-08-14T21:50:49.9794022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9794090Z x = self.forward_features(x) 2025-08-14T21:50:49.9794310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9794380Z x = self.blocks(x) 2025-08-14T21:50:49.9794606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9794672Z x = self.se(x) 2025-08-14T21:50:49.9794885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9794954Z return x * self.gate(x_se) 2025-08-14T21:50:49.9794957Z 2025-08-14T21:50:49.9795042Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9795155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9795346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9795408Z return mod(*inputs) 2025-08-14T21:50:49.9795607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9795681Z x = self.forward_features(x) 2025-08-14T21:50:49.9795904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9795964Z x = self.blocks(x) 2025-08-14T21:50:49.9796185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9796250Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9796452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9796552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9796759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9796863Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9796867Z 2025-08-14T21:50:49.9796963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9797167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9797237Z return mod(*inputs) 2025-08-14T21:50:49.9797442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9797517Z x = self.forward_features(x) 2025-08-14T21:50:49.9797742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9797803Z x = self.blocks(x) 2025-08-14T21:50:49.9798025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9798090Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9798286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9798389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9798596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9798702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9798705Z 2025-08-14T21:50:49.9798780Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9798879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9799072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9799153Z return mod(*inputs) 2025-08-14T21:50:49.9799360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9799427Z x = self.forward_features(x) 2025-08-14T21:50:49.9799650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9799719Z x = self.blocks(x) 2025-08-14T21:50:49.9799934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9799999Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9800220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9800322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9800545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9800650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9800668Z 2025-08-14T21:50:49.9800772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9800972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9801035Z return mod(*inputs) 2025-08-14T21:50:49.9801245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9801323Z x = self.forward_features(x) 2025-08-14T21:50:49.9801553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9801625Z x = self.blocks(x) 2025-08-14T21:50:49.9801855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9801920Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9802128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9802240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9802445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9802550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9802553Z 2025-08-14T21:50:49.9802630Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9802728Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9802839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9803024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9803094Z return mod(*inputs) 2025-08-14T21:50:49.9803289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9803355Z x = self.forward_features(x) 2025-08-14T21:50:49.9803578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9803637Z x = self.blocks(x) 2025-08-14T21:50:49.9803856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9803919Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9804118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9804193Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9804196Z 2025-08-14T21:50:49.9804295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9804494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9804556Z return mod(*inputs) 2025-08-14T21:50:49.9804764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9804869Z x = self.forward_features(x) 2025-08-14T21:50:49.9805103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9805164Z x = self.blocks(x) 2025-08-14T21:50:49.9805393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9805467Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9805471Z 2025-08-14T21:50:49.9805579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9805793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9805856Z return mod(*inputs) 2025-08-14T21:50:49.9806066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9806134Z x = self.forward_features(x) 2025-08-14T21:50:49.9806357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9806449Z x = self.blocks(x) 2025-08-14T21:50:49.9806665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9806733Z x = self.bn1(x) 2025-08-14T21:50:49.9806925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9806984Z x = self.act(x) 2025-08-14T21:50:49.9806989Z 2025-08-14T21:50:49.9807096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9807282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9807344Z return mod(*inputs) 2025-08-14T21:50:49.9807551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9807620Z x = self.forward_features(x) 2025-08-14T21:50:49.9807851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9807912Z x = self.blocks(x) 2025-08-14T21:50:49.9808127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9808193Z x = self.bn1(x) 2025-08-14T21:50:49.9808383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9808454Z x = self.act(x) 2025-08-14T21:50:49.9808465Z 2025-08-14T21:50:49.9808565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9808753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9808821Z return mod(*inputs) 2025-08-14T21:50:49.9809019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9809088Z x = self.forward_features(x) 2025-08-14T21:50:49.9809318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9809378Z x = self.blocks(x) 2025-08-14T21:50:49.9809596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9809657Z x = self.conv_dw(x) 2025-08-14T21:50:49.9809854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9809958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9810163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9810261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9810279Z 2025-08-14T21:50:49.9810385Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9810580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9810650Z return mod(*inputs) 2025-08-14T21:50:49.9810863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9810934Z x = self.forward_features(x) 2025-08-14T21:50:49.9811176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9811241Z x = self.blocks(x) 2025-08-14T21:50:49.9811484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9811557Z x = self.conv_dw(x) 2025-08-14T21:50:49.9811953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9812074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9812301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9812436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9812440Z 2025-08-14T21:50:49.9812550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9812742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9812815Z return mod(*inputs) 2025-08-14T21:50:49.9813023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9813093Z x = self.forward_features(x) 2025-08-14T21:50:49.9813326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9813389Z x = self.blocks(x) 2025-08-14T21:50:49.9813620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9813693Z x = self.conv_dw(x) 2025-08-14T21:50:49.9813893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9813998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9814206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9814329Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9814332Z 2025-08-14T21:50:49.9814445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9814639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9814703Z return mod(*inputs) 2025-08-14T21:50:49.9814916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9814988Z x = self.forward_features(x) 2025-08-14T21:50:49.9815227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9815289Z x = self.blocks(x) 2025-08-14T21:50:49.9815517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9815590Z x = self.conv_dw(x) 2025-08-14T21:50:49.9815793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9815890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9816106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9816204Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9816301Z 2025-08-14T21:50:49.9816423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9816624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9816690Z return mod(*inputs) 2025-08-14T21:50:49.9816906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9816977Z x = self.forward_features(x) 2025-08-14T21:50:49.9817216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9817280Z x = self.blocks(x) 2025-08-14T21:50:49.9817525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9817601Z x = self.conv_dw(x) 2025-08-14T21:50:49.9817803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9817905Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9818126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9818243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9818247Z 2025-08-14T21:50:49.9818357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9818547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9818610Z return mod(*inputs) 2025-08-14T21:50:49.9818827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9818900Z x = self.forward_features(x) 2025-08-14T21:50:49.9819127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9819197Z x = self.blocks(x) 2025-08-14T21:50:49.9819418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9819490Z x = self.conv_dw(x) 2025-08-14T21:50:49.9819689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9819788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9820004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9820120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9820124Z 2025-08-14T21:50:49.9820235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9820429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9820492Z return mod(*inputs) 2025-08-14T21:50:49.9820703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9820773Z x = self.forward_features(x) 2025-08-14T21:50:49.9821000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9821069Z x = self.blocks(x) 2025-08-14T21:50:49.9821290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9821358Z x = self.conv_dw(x) 2025-08-14T21:50:49.9821559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9821658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9821878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9821976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9821979Z 2025-08-14T21:50:49.9822105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9822297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9822362Z return mod(*inputs) 2025-08-14T21:50:49.9822573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9822640Z x = self.forward_features(x) 2025-08-14T21:50:49.9822867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9822936Z x = self.blocks(x) 2025-08-14T21:50:49.9823176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9823247Z x = self.conv_dw(x) 2025-08-14T21:50:49.9823446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9823544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9823763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9823880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9823884Z 2025-08-14T21:50:49.9823963Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9824048Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9824123Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9824204Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9824306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9824502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9824571Z return mod(*inputs) 2025-08-14T21:50:49.9824776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9824846Z x = self.forward_features(x) 2025-08-14T21:50:49.9825083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9825145Z x = self.blocks(x) 2025-08-14T21:50:49.9825372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9825436Z x = self.conv_dw(x) 2025-08-14T21:50:49.9825638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9825713Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9825734Z 2025-08-14T21:50:49.9825813Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9825915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9826117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9826181Z return mod(*inputs) 2025-08-14T21:50:49.9826392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9826464Z x = self.forward_features(x) 2025-08-14T21:50:49.9826692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9826763Z x = self.blocks(x) 2025-08-14T21:50:49.9826984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9827044Z x = self.se(x) 2025-08-14T21:50:49.9827270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9827346Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9827349Z 2025-08-14T21:50:49.9827456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9827648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9827731Z return mod(*inputs) 2025-08-14T21:50:49.9827946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9828018Z x = self.forward_features(x) 2025-08-14T21:50:49.9828247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9828315Z x = self.blocks(x) 2025-08-14T21:50:49.9828538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9828608Z x = self.se(x) 2025-08-14T21:50:49.9828857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9828924Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9828928Z 2025-08-14T21:50:49.9829038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9829230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9829301Z return mod(*inputs) 2025-08-14T21:50:49.9829535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9829604Z x = self.forward_features(x) 2025-08-14T21:50:49.9829839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9829900Z x = self.blocks(x) 2025-08-14T21:50:49.9830122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9830190Z x = self.se(x) 2025-08-14T21:50:49.9830412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9830485Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9830488Z 2025-08-14T21:50:49.9830589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9830783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9830857Z return mod(*inputs) 2025-08-14T21:50:49.9831064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9831132Z x = self.forward_features(x) 2025-08-14T21:50:49.9831367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9831429Z x = self.blocks(x) 2025-08-14T21:50:49.9831676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9831738Z x = self.se(x) 2025-08-14T21:50:49.9831960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9832038Z return x * self.gate(x_se) 2025-08-14T21:50:49.9832042Z 2025-08-14T21:50:49.9832148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9832341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9832413Z return mod(*inputs) 2025-08-14T21:50:49.9832624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9832700Z x = self.forward_features(x) 2025-08-14T21:50:49.9832931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9832995Z x = self.blocks(x) 2025-08-14T21:50:49.9833235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9833293Z x = self.se(x) 2025-08-14T21:50:49.9833509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9833584Z return x * self.gate(x_se) 2025-08-14T21:50:49.9833602Z 2025-08-14T21:50:49.9833701Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9833900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9833961Z return mod(*inputs) 2025-08-14T21:50:49.9834163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9834237Z x = self.forward_features(x) 2025-08-14T21:50:49.9834460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9834527Z x = self.blocks(x) 2025-08-14T21:50:49.9834790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9834849Z x = self.se(x) 2025-08-14T21:50:49.9835068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9835135Z return x * self.gate(x_se) 2025-08-14T21:50:49.9835153Z 2025-08-14T21:50:49.9835230Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9835334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9835519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9835585Z return mod(*inputs) 2025-08-14T21:50:49.9835784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9835851Z x = self.forward_features(x) 2025-08-14T21:50:49.9836076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9836136Z x = self.blocks(x) 2025-08-14T21:50:49.9836346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9836420Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9836615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9836721Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9836928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9837025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9837028Z 2025-08-14T21:50:49.9837131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9837330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9837393Z return mod(*inputs) 2025-08-14T21:50:49.9837600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9837668Z x = self.forward_features(x) 2025-08-14T21:50:49.9837896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9837959Z x = self.blocks(x) 2025-08-14T21:50:49.9838175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9838246Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9838448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9838547Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9838760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9838859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9838862Z 2025-08-14T21:50:49.9838945Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9839042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9839246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9839318Z return mod(*inputs) 2025-08-14T21:50:49.9839521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9839596Z x = self.forward_features(x) 2025-08-14T21:50:49.9839821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9839881Z x = self.blocks(x) 2025-08-14T21:50:49.9840108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9840186Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9840382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9840487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9840730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9840849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9840853Z 2025-08-14T21:50:49.9840951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9841137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9841207Z return mod(*inputs) 2025-08-14T21:50:49.9841414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9841484Z x = self.forward_features(x) 2025-08-14T21:50:49.9841719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9841781Z x = self.blocks(x) 2025-08-14T21:50:49.9842009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9842075Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9842278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9842387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9842606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9842709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9842712Z 2025-08-14T21:50:49.9842804Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9842880Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9842987Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9843176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9843239Z return mod(*inputs) 2025-08-14T21:50:49.9843455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9843525Z x = self.forward_features(x) 2025-08-14T21:50:49.9843753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9843814Z x = self.blocks(x) 2025-08-14T21:50:49.9844031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9844100Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9844297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9844361Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9844366Z 2025-08-14T21:50:49.9844472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9844660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9844745Z return mod(*inputs) 2025-08-14T21:50:49.9844946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9845017Z x = self.forward_features(x) 2025-08-14T21:50:49.9845248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9845308Z x = self.blocks(x) 2025-08-14T21:50:49.9845524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9845603Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9845607Z 2025-08-14T21:50:49.9845703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9845911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9845975Z return mod(*inputs) 2025-08-14T21:50:49.9846174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9846251Z x = self.forward_features(x) 2025-08-14T21:50:49.9846493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9846553Z x = self.blocks(x) 2025-08-14T21:50:49.9846777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9846837Z x = self.bn1(x) 2025-08-14T21:50:49.9847035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9847094Z x = self.act(x) 2025-08-14T21:50:49.9847098Z 2025-08-14T21:50:49.9847197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9847393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9847455Z return mod(*inputs) 2025-08-14T21:50:49.9847662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9847731Z x = self.forward_features(x) 2025-08-14T21:50:49.9847950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9848016Z x = self.blocks(x) 2025-08-14T21:50:49.9848229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:49.9848288Z x = self.bn1(x) 2025-08-14T21:50:49.9848497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9848558Z x = self.act(x) 2025-08-14T21:50:49.9848562Z 2025-08-14T21:50:49.9848668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9848855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9848916Z return mod(*inputs) 2025-08-14T21:50:49.9849125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9849194Z x = self.forward_features(x) 2025-08-14T21:50:49.9849416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9849483Z x = self.blocks(x) 2025-08-14T21:50:49.9849696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9849765Z x = self.conv_dw(x) 2025-08-14T21:50:49.9849962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9850064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9850274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9850372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9850400Z 2025-08-14T21:50:49.9850502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9850702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9850767Z return mod(*inputs) 2025-08-14T21:50:49.9850986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9851057Z x = self.forward_features(x) 2025-08-14T21:50:49.9851293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9851366Z x = self.blocks(x) 2025-08-14T21:50:49.9851618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9851690Z x = self.conv_dw(x) 2025-08-14T21:50:49.9851901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9852007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9852246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9852348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9852351Z 2025-08-14T21:50:49.9852455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9852660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9852727Z return mod(*inputs) 2025-08-14T21:50:49.9852949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9853020Z x = self.forward_features(x) 2025-08-14T21:50:49.9853254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9853328Z x = self.blocks(x) 2025-08-14T21:50:49.9853555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9853622Z x = self.conv_dw(x) 2025-08-14T21:50:49.9853844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9853941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9854156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9854270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9854273Z 2025-08-14T21:50:49.9854378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9854580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9854644Z return mod(*inputs) 2025-08-14T21:50:49.9854859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9854930Z x = self.forward_features(x) 2025-08-14T21:50:49.9855155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9855224Z x = self.blocks(x) 2025-08-14T21:50:49.9855444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9855507Z x = self.conv_dw(x) 2025-08-14T21:50:49.9855715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9855816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9856032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9856133Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9856152Z 2025-08-14T21:50:49.9856347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9856574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9856641Z return mod(*inputs) 2025-08-14T21:50:49.9856868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9856954Z x = self.forward_features(x) 2025-08-14T21:50:49.9857204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9857281Z x = self.blocks(x) 2025-08-14T21:50:49.9857549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9857614Z x = self.conv_dw(x) 2025-08-14T21:50:49.9857827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9857930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9858162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9858267Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9858270Z 2025-08-14T21:50:49.9858369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9858563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9858626Z return mod(*inputs) 2025-08-14T21:50:49.9858827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9858902Z x = self.forward_features(x) 2025-08-14T21:50:49.9859124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9859192Z x = self.blocks(x) 2025-08-14T21:50:49.9859408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9859471Z x = self.conv_dw(x) 2025-08-14T21:50:49.9859678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9859776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9859984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9860105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9860110Z 2025-08-14T21:50:49.9860214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9860414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9860476Z return mod(*inputs) 2025-08-14T21:50:49.9860683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9860763Z x = self.forward_features(x) 2025-08-14T21:50:49.9860989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9861050Z x = self.blocks(x) 2025-08-14T21:50:49.9861280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9861340Z x = self.conv_dw(x) 2025-08-14T21:50:49.9861543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9861640Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9861843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9861946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9861967Z 2025-08-14T21:50:49.9862067Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9862263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9862324Z return mod(*inputs) 2025-08-14T21:50:49.9862524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9862596Z x = self.forward_features(x) 2025-08-14T21:50:49.9862820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9862879Z x = self.blocks(x) 2025-08-14T21:50:49.9863132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9863193Z x = self.conv_dw(x) 2025-08-14T21:50:49.9863391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9863486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9863702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9863800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9863803Z 2025-08-14T21:50:49.9863878Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9863953Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9864032Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9864106Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9864210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9864398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9864460Z return mod(*inputs) 2025-08-14T21:50:49.9864669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9864738Z x = self.forward_features(x) 2025-08-14T21:50:49.9864960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9865027Z x = self.blocks(x) 2025-08-14T21:50:49.9865242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:49.9865310Z x = self.conv_dw(x) 2025-08-14T21:50:49.9865505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9865585Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9865588Z 2025-08-14T21:50:49.9865674Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9865772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9865972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9866041Z return mod(*inputs) 2025-08-14T21:50:49.9866239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9866315Z x = self.forward_features(x) 2025-08-14T21:50:49.9866532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9866592Z x = self.blocks(x) 2025-08-14T21:50:49.9866816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9866875Z x = self.se(x) 2025-08-14T21:50:49.9867090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:49.9867171Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:49.9867175Z 2025-08-14T21:50:49.9867272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9867466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9867545Z return mod(*inputs) 2025-08-14T21:50:49.9867748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9867823Z x = self.forward_features(x) 2025-08-14T21:50:49.9868045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9868113Z x = self.blocks(x) 2025-08-14T21:50:49.9868334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9868393Z x = self.se(x) 2025-08-14T21:50:49.9868627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9868694Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9868697Z 2025-08-14T21:50:49.9868794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9868998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9869077Z return mod(*inputs) 2025-08-14T21:50:49.9869285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9869352Z x = self.forward_features(x) 2025-08-14T21:50:49.9869575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9869643Z x = self.blocks(x) 2025-08-14T21:50:49.9869858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9869917Z x = self.se(x) 2025-08-14T21:50:49.9870137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:49.9870202Z x_se = self.act1(x_se) 2025-08-14T21:50:49.9870205Z 2025-08-14T21:50:49.9870313Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9870501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9870564Z return mod(*inputs) 2025-08-14T21:50:49.9870773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9870840Z x = self.forward_features(x) 2025-08-14T21:50:49.9871062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9871154Z x = self.blocks(x) 2025-08-14T21:50:49.9871370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9871438Z x = self.se(x) 2025-08-14T21:50:49.9871649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9871717Z return x * self.gate(x_se) 2025-08-14T21:50:49.9871722Z 2025-08-14T21:50:49.9871826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9872015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9872078Z return mod(*inputs) 2025-08-14T21:50:49.9872286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9872353Z x = self.forward_features(x) 2025-08-14T21:50:49.9872582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9872643Z x = self.blocks(x) 2025-08-14T21:50:49.9872859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9872925Z x = self.se(x) 2025-08-14T21:50:49.9873138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9873229Z return x * self.gate(x_se) 2025-08-14T21:50:49.9873232Z 2025-08-14T21:50:49.9873332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9873522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9873591Z return mod(*inputs) 2025-08-14T21:50:49.9873793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9873858Z x = self.forward_features(x) 2025-08-14T21:50:49.9874091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9874167Z x = self.blocks(x) 2025-08-14T21:50:49.9874390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:49.9874448Z x = self.se(x) 2025-08-14T21:50:49.9874657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:49.9874746Z return x * self.gate(x_se) 2025-08-14T21:50:49.9874749Z 2025-08-14T21:50:49.9874825Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9874923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9875119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9875180Z return mod(*inputs) 2025-08-14T21:50:49.9875388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9875456Z x = self.forward_features(x) 2025-08-14T21:50:49.9875676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9875747Z x = self.blocks(x) 2025-08-14T21:50:49.9875961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9876028Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9876238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9876339Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9876551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9876652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9876655Z 2025-08-14T21:50:49.9876767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9876967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9877031Z return mod(*inputs) 2025-08-14T21:50:49.9877237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9877306Z x = self.forward_features(x) 2025-08-14T21:50:49.9877527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9877596Z x = self.blocks(x) 2025-08-14T21:50:49.9877810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9877873Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9878077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9878176Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9878387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9878482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9878486Z 2025-08-14T21:50:49.9878561Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9878667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9878873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9878937Z return mod(*inputs) 2025-08-14T21:50:49.9879150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9879217Z x = self.forward_features(x) 2025-08-14T21:50:49.9879445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9879505Z x = self.blocks(x) 2025-08-14T21:50:49.9879735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9879810Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9880009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9880104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9880320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9880431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9880435Z 2025-08-14T21:50:49.9880541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9880730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9880790Z return mod(*inputs) 2025-08-14T21:50:49.9881000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9881075Z x = self.forward_features(x) 2025-08-14T21:50:49.9881303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9881363Z x = self.blocks(x) 2025-08-14T21:50:49.9881580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9881653Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9881856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:49.9881953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9882166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:49.9882259Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:49.9882277Z 2025-08-14T21:50:49.9882362Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9882439Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9882538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9882733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9882794Z return mod(*inputs) 2025-08-14T21:50:49.9882994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9883072Z x = self.forward_features(x) 2025-08-14T21:50:49.9883293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9883361Z x = self.blocks(x) 2025-08-14T21:50:49.9883576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:49.9883638Z x = self.conv_pwl(x) 2025-08-14T21:50:49.9883840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:49.9883908Z x = torch.cat(x_out, 1) 2025-08-14T21:50:49.9883911Z 2025-08-14T21:50:49.9884010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9884207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9884288Z return mod(*inputs) 2025-08-14T21:50:49.9884494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9884563Z x = self.forward_features(x) 2025-08-14T21:50:49.9884784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:49.9884854Z x = self.blocks(x) 2025-08-14T21:50:49.9885067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:49.9885140Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:49.9885149Z 2025-08-14T21:50:49.9885264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9885452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9885521Z return mod(*inputs) 2025-08-14T21:50:49.9885721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9885807Z x = self.forward_features(x) 2025-08-14T21:50:49.9886040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:50:49.9886100Z x = self.bn2(x) 2025-08-14T21:50:49.9886296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9886354Z x = self.act(x) 2025-08-14T21:50:49.9886358Z 2025-08-14T21:50:49.9886456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9886650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9886715Z return mod(*inputs) 2025-08-14T21:50:49.9886912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:49.9886984Z x = self.forward_features(x) 2025-08-14T21:50:49.9887206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:50:49.9887273Z x = self.bn2(x) 2025-08-14T21:50:49.9887465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:49.9887523Z x = self.act(x) 2025-08-14T21:50:49.9887526Z 2025-08-14T21:50:49.9887608Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9887703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:49.9887910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:49.9887981Z return mod(*inputs) 2025-08-14T21:50:49.9888189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:50:49.9888262Z x = self.forward_head(x) 2025-08-14T21:50:49.9888475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:50:49.9888545Z x = self.global_pool(x) 2025-08-14T21:50:49.9888778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:50:49.9888839Z x = self.pool(x) 2025-08-14T21:50:49.9888843Z 2025-08-14T21:50:49.9888917Z cudagraph partition due to non gpu ops 2025-08-14T21:50:49.9889000Z cudagraph partition due to non gpu ops 2025-08-14T21:51:03.5897531Z Compilation time (from dynamo_timed): 31.544115234 2025-08-14T21:51:03.5898085Z pass 2025-08-14T21:51:03.5902566Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:51:03.5903578Z TIMING: _recursive_pre_grad_passes:0.06024 _recursive_joint_graph_passes:0.20131 _recursive_post_grad_passes:0.11374 async_compile.wait:0.48804 code_gen:12.76702 inductor_compile:15.51123 backend_compile:25.51016 gc:0.00016 entire_frame_compile:31.54412 total_wall_time:31.54412 2025-08-14T21:51:03.5904822Z STATS: call_* op count: 553 | FakeTensorMode.__torch_dispatch__:43970 | FakeTensor.__torch_dispatch__:6796 | ProxyTorchDispatchMode.__torch_dispatch__:8769 2025-08-14T21:51:03.5905370Z Dynamo produced 1 graphs covering 553 ops with 0 graph breaks (0 unique) 2025-08-14T21:51:08.8049580Z 2025-08-14T21:51:08.9405627Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:51:08.9406099Z 2025-08-14T21:51:09.0272587Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-14T21:54:12.7616090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7616626Z x = self.conv(x) 2025-08-14T21:54:12.7616753Z 2025-08-14T21:54:12.7616878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7617286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7617651Z return mod(*inputs) 2025-08-14T21:54:12.7617975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7618330Z x = self.forward_features(x) 2025-08-14T21:54:12.7618698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7619078Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7619465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7619829Z x = block(x) 2025-08-14T21:54:12.7620127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7620500Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7620867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7621703Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7621980Z 2025-08-14T21:54:12.7622097Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7622497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7622851Z return mod(*inputs) 2025-08-14T21:54:12.7623173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7623511Z x = self.forward_features(x) 2025-08-14T21:54:12.7623875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7624303Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7624650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7625004Z x = block(x) 2025-08-14T21:54:12.7625305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7625772Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7626139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 77, in forward 2025-08-14T21:54:12.7626494Z v = self.unfold(v).reshape( 2025-08-14T21:54:12.7626629Z 2025-08-14T21:54:12.7626753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7627145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7627511Z return mod(*inputs) 2025-08-14T21:54:12.7627849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7628177Z x = self.forward_features(x) 2025-08-14T21:54:12.7628517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7628906Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7629260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7629603Z x = block(x) 2025-08-14T21:54:12.7629889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7630240Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7630591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7631036Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7631292Z 2025-08-14T21:54:12.7631419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7631804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7632157Z return mod(*inputs) 2025-08-14T21:54:12.7632467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7632796Z x = self.forward_features(x) 2025-08-14T21:54:12.7633143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7633501Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7633832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7634174Z x = block(x) 2025-08-14T21:54:12.7634469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7634820Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7635169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7635622Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7635897Z 2025-08-14T21:54:12.7636009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7636382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7636713Z return mod(*inputs) 2025-08-14T21:54:12.7637010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7637333Z x = self.forward_features(x) 2025-08-14T21:54:12.7637666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7638013Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7638369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7638703Z x = block(x) 2025-08-14T21:54:12.7638988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7639326Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7639734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7640195Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7640448Z 2025-08-14T21:54:12.7640532Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7640779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7641136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7641465Z return mod(*inputs) 2025-08-14T21:54:12.7641766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7642106Z x = self.forward_features(x) 2025-08-14T21:54:12.7642457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7642885Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7643277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7643600Z x = self.conv(x) 2025-08-14T21:54:12.7643714Z 2025-08-14T21:54:12.7643834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7644198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7644525Z return mod(*inputs) 2025-08-14T21:54:12.7644812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7645146Z x = self.forward_features(x) 2025-08-14T21:54:12.7645506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7645919Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7646301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7646637Z x = self.conv(x) 2025-08-14T21:54:12.7646743Z 2025-08-14T21:54:12.7646862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7647245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7647592Z return mod(*inputs) 2025-08-14T21:54:12.7647912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7648258Z x = self.forward_features(x) 2025-08-14T21:54:12.7648610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7649024Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7649405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7649744Z x = self.conv(x) 2025-08-14T21:54:12.7649857Z 2025-08-14T21:54:12.7649970Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7650359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7650703Z return mod(*inputs) 2025-08-14T21:54:12.7651010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7651349Z x = self.forward_features(x) 2025-08-14T21:54:12.7651704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7652106Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7652505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7652836Z x = self.conv(x) 2025-08-14T21:54:12.7652938Z 2025-08-14T21:54:12.7653054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7653451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7653950Z return mod(*inputs) 2025-08-14T21:54:12.7654271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7654615Z x = self.forward_features(x) 2025-08-14T21:54:12.7654990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7655419Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7655817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7656137Z x = self.conv(x) 2025-08-14T21:54:12.7656330Z 2025-08-14T21:54:12.7656452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7656863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7657224Z return mod(*inputs) 2025-08-14T21:54:12.7657541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7657902Z x = self.forward_features(x) 2025-08-14T21:54:12.7658261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7658665Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7659048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:12.7659375Z x = self.conv(x) 2025-08-14T21:54:12.7659478Z 2025-08-14T21:54:12.7659597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7659976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7660305Z return mod(*inputs) 2025-08-14T21:54:12.7660588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7660904Z x = self.forward_features(x) 2025-08-14T21:54:12.7661223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7661593Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7661932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:54:12.7662233Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:12.7662359Z 2025-08-14T21:54:12.7662457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7662805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7663113Z return mod(*inputs) 2025-08-14T21:54:12.7663400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7663733Z x = self.forward_features(x) 2025-08-14T21:54:12.7664068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:12.7664520Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:12.7664878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:54:12.7665185Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:12.7665304Z 2025-08-14T21:54:12.7665404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7665750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7666082Z return mod(*inputs) 2025-08-14T21:54:12.7666366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7666667Z x = self.forward_features(x) 2025-08-14T21:54:12.7666993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7667359Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7667720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7668033Z x = block(x) 2025-08-14T21:54:12.7668303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7668637Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7668950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:12.7669300Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:12.7669463Z 2025-08-14T21:54:12.7669554Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7669765Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7669976Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7670184Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7670388Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7670616Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7670971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7671291Z return mod(*inputs) 2025-08-14T21:54:12.7671571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7671887Z x = self.forward_features(x) 2025-08-14T21:54:12.7672218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7672544Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7672849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7673163Z x = block(x) 2025-08-14T21:54:12.7673439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7673762Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7674090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7674483Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7674685Z 2025-08-14T21:54:12.7674795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7675148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7675518Z return mod(*inputs) 2025-08-14T21:54:12.7675815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7676123Z x = self.forward_features(x) 2025-08-14T21:54:12.7676451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7676816Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7677130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7677443Z x = block(x) 2025-08-14T21:54:12.7677716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7678049Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7678370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7678758Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7678969Z 2025-08-14T21:54:12.7679089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7679449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7679764Z return mod(*inputs) 2025-08-14T21:54:12.7680120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7680463Z x = self.forward_features(x) 2025-08-14T21:54:12.7680784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7681121Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7681442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7681763Z x = block(x) 2025-08-14T21:54:12.7682031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7682361Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7682691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7683121Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7683367Z 2025-08-14T21:54:12.7683449Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7683776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7684158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7684500Z return mod(*inputs) 2025-08-14T21:54:12.7684798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7685124Z x = self.forward_features(x) 2025-08-14T21:54:12.7685468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7685864Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7686203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7686545Z x = block(x) 2025-08-14T21:54:12.7686826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7687175Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7687513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7687840Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7687978Z 2025-08-14T21:54:12.7688083Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7688456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7688780Z return mod(*inputs) 2025-08-14T21:54:12.7689068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7689390Z x = self.forward_features(x) 2025-08-14T21:54:12.7689730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7690080Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7690429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7690765Z x = block(x) 2025-08-14T21:54:12.7691036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7691358Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7691687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7692004Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7692135Z 2025-08-14T21:54:12.7692222Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7692461Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7692676Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7692887Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7693115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7693484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7693859Z return mod(*inputs) 2025-08-14T21:54:12.7694150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7694481Z x = self.forward_features(x) 2025-08-14T21:54:12.7694846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7695211Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7695535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7695867Z x = block(x) 2025-08-14T21:54:12.7696157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7696571Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7696939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:12.7697335Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:12.7697522Z 2025-08-14T21:54:12.7697612Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7697831Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7698038Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7698244Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7698440Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7698674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7699033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7699365Z return mod(*inputs) 2025-08-14T21:54:12.7699653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7699972Z x = self.forward_features(x) 2025-08-14T21:54:12.7700303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7700644Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7700975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7701301Z x = block(x) 2025-08-14T21:54:12.7701580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7701931Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7702286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7702712Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7702932Z 2025-08-14T21:54:12.7703042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7703432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7703807Z return mod(*inputs) 2025-08-14T21:54:12.7704124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7704467Z x = self.forward_features(x) 2025-08-14T21:54:12.7704807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7705156Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7705482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7705824Z x = block(x) 2025-08-14T21:54:12.7706118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7706457Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7706792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7707192Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7707478Z 2025-08-14T21:54:12.7707592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7707943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7708263Z return mod(*inputs) 2025-08-14T21:54:12.7708551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7708866Z x = self.forward_features(x) 2025-08-14T21:54:12.7709190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7709534Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7709859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7710179Z x = block(x) 2025-08-14T21:54:12.7710456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7710792Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7711124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7711550Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7711990Z 2025-08-14T21:54:12.7712075Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7712319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7712677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7712993Z return mod(*inputs) 2025-08-14T21:54:12.7713284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7713599Z x = self.forward_features(x) 2025-08-14T21:54:12.7713927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7714276Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7714608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7714941Z x = block(x) 2025-08-14T21:54:12.7715220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7715564Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7715910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7716221Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7716360Z 2025-08-14T21:54:12.7716460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7716812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7717130Z return mod(*inputs) 2025-08-14T21:54:12.7717468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7717786Z x = self.forward_features(x) 2025-08-14T21:54:12.7718123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7718460Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7718789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7719118Z x = block(x) 2025-08-14T21:54:12.7719403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7719760Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7720086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7720404Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7720539Z 2025-08-14T21:54:12.7720618Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7720852Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7721089Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7721287Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7721520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7721877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7722197Z return mod(*inputs) 2025-08-14T21:54:12.7722478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7722794Z x = self.forward_features(x) 2025-08-14T21:54:12.7723131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7723467Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7723794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7724122Z x = block(x) 2025-08-14T21:54:12.7724409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7724742Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7725084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:12.7725453Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:12.7725624Z 2025-08-14T21:54:12.7725703Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7725921Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7726135Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7726355Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7726556Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7726786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7727145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7727463Z return mod(*inputs) 2025-08-14T21:54:12.7727755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7728070Z x = self.forward_features(x) 2025-08-14T21:54:12.7728394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7728739Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7729056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7729375Z x = block(x) 2025-08-14T21:54:12.7729640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7729963Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7730288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7730693Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7730893Z 2025-08-14T21:54:12.7730992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7731338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7731650Z return mod(*inputs) 2025-08-14T21:54:12.7731931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7732245Z x = self.forward_features(x) 2025-08-14T21:54:12.7732589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7732932Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7733244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7733569Z x = block(x) 2025-08-14T21:54:12.7733887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7734224Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7734554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7734942Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7735142Z 2025-08-14T21:54:12.7735255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7735625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7735959Z return mod(*inputs) 2025-08-14T21:54:12.7736318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7736663Z x = self.forward_features(x) 2025-08-14T21:54:12.7737027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7737403Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7737760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7738079Z x = block(x) 2025-08-14T21:54:12.7738360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7738705Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7739031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7739465Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7739731Z 2025-08-14T21:54:12.7739812Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7740054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7740407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7740738Z return mod(*inputs) 2025-08-14T21:54:12.7741030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7741338Z x = self.forward_features(x) 2025-08-14T21:54:12.7741674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7742018Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7742340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7742658Z x = block(x) 2025-08-14T21:54:12.7742938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7743276Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7743598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7743955Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7744095Z 2025-08-14T21:54:12.7744196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7744551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7744863Z return mod(*inputs) 2025-08-14T21:54:12.7745161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7745476Z x = self.forward_features(x) 2025-08-14T21:54:12.7745799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7746153Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7746487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7746815Z x = block(x) 2025-08-14T21:54:12.7747087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7747448Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7747776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7748090Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7748221Z 2025-08-14T21:54:12.7748310Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7748516Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7748722Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7748917Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7749147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7749493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7749797Z return mod(*inputs) 2025-08-14T21:54:12.7750077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7750384Z x = self.forward_features(x) 2025-08-14T21:54:12.7750714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7751042Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7751356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7751671Z x = block(x) 2025-08-14T21:54:12.7751932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7752253Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7752582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:12.7752930Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:12.7753094Z 2025-08-14T21:54:12.7753170Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7753380Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7753588Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7753790Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7753997Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7754238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7754577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7754886Z return mod(*inputs) 2025-08-14T21:54:12.7755172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7755479Z x = self.forward_features(x) 2025-08-14T21:54:12.7755795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7756126Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7756444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7756772Z x = block(x) 2025-08-14T21:54:12.7757046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7757367Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7757691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7758063Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7758267Z 2025-08-14T21:54:12.7758367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7758732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7759058Z return mod(*inputs) 2025-08-14T21:54:12.7759346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7759662Z x = self.forward_features(x) 2025-08-14T21:54:12.7760016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7760356Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7760672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7760983Z x = block(x) 2025-08-14T21:54:12.7761251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7761566Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7761887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:12.7762264Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:12.7762461Z 2025-08-14T21:54:12.7762560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7762908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7763225Z return mod(*inputs) 2025-08-14T21:54:12.7763508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7763816Z x = self.forward_features(x) 2025-08-14T21:54:12.7764148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7764493Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7764802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7765121Z x = block(x) 2025-08-14T21:54:12.7765389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7765714Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7766031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-08-14T21:54:12.7766454Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-08-14T21:54:12.7766693Z 2025-08-14T21:54:12.7766781Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7767017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7767368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7767683Z return mod(*inputs) 2025-08-14T21:54:12.7767967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7768266Z x = self.forward_features(x) 2025-08-14T21:54:12.7768594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7768925Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7769231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7769568Z x = block(x) 2025-08-14T21:54:12.7769839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7770161Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7770473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7770779Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7770903Z 2025-08-14T21:54:12.7771011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7771347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7771671Z return mod(*inputs) 2025-08-14T21:54:12.7771962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7772265Z x = self.forward_features(x) 2025-08-14T21:54:12.7772599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7772946Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7773268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7773581Z x = block(x) 2025-08-14T21:54:12.7773852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:12.7774184Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7774509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:12.7774818Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:12.7774956Z 2025-08-14T21:54:12.7775034Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7775245Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7775446Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7775654Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7775883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7776296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7776623Z return mod(*inputs) 2025-08-14T21:54:12.7776917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7777236Z x = self.forward_features(x) 2025-08-14T21:54:12.7777594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7777969Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7778300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7778625Z x = block(x) 2025-08-14T21:54:12.7778906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:54:12.7779229Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:12.7779356Z 2025-08-14T21:54:12.7779473Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7779825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7780152Z return mod(*inputs) 2025-08-14T21:54:12.7780448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7780767Z x = self.forward_features(x) 2025-08-14T21:54:12.7781096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7781440Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7781764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7782081Z x = block(x) 2025-08-14T21:54:12.7782361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:54:12.7782705Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:12.7782831Z 2025-08-14T21:54:12.7782918Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7783119Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7783326Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7783561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7783911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7784227Z return mod(*inputs) 2025-08-14T21:54:12.7784517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7784839Z x = self.forward_features(x) 2025-08-14T21:54:12.7785175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7785514Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7785849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7786208Z x = block(x) 2025-08-14T21:54:12.7786487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7786823Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7787154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7787477Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7787625Z 2025-08-14T21:54:12.7787700Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7787898Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7788089Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7788284Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7788477Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7788662Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7788858Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7789052Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7789238Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7789459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7789799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7790104Z return mod(*inputs) 2025-08-14T21:54:12.7790371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7790671Z x = self.forward_features(x) 2025-08-14T21:54:12.7790988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7791304Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7791613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7791923Z x = block(x) 2025-08-14T21:54:12.7792185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7792498Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7792813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7793115Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7793238Z 2025-08-14T21:54:12.7793311Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7793511Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7793735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7794076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7794375Z return mod(*inputs) 2025-08-14T21:54:12.7794650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7794949Z x = self.forward_features(x) 2025-08-14T21:54:12.7795284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7795613Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7795938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7796250Z x = block(x) 2025-08-14T21:54:12.7796508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7796826Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7796965Z 2025-08-14T21:54:12.7797050Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7797261Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7797462Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7797657Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7797845Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7798039Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7798232Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7798487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7798822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7799125Z return mod(*inputs) 2025-08-14T21:54:12.7799407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7799697Z x = self.forward_features(x) 2025-08-14T21:54:12.7800017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7800342Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7800653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7800960Z x = block(x) 2025-08-14T21:54:12.7801222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7801543Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7801854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7802159Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7802282Z 2025-08-14T21:54:12.7802361Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7802556Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7802744Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7802938Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7803131Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7803315Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7803511Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7803705Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7803893Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7804114Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7804460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7804758Z return mod(*inputs) 2025-08-14T21:54:12.7805034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7805333Z x = self.forward_features(x) 2025-08-14T21:54:12.7805648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7805962Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7806267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7806576Z x = block(x) 2025-08-14T21:54:12.7806834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7807216Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7807560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7807929Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7808063Z 2025-08-14T21:54:12.7808139Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7808348Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7808579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7808928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7809244Z return mod(*inputs) 2025-08-14T21:54:12.7809573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7809909Z x = self.forward_features(x) 2025-08-14T21:54:12.7810228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7810568Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7810892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7811244Z x = block(x) 2025-08-14T21:54:12.7811525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7812109Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7812262Z 2025-08-14T21:54:12.7812349Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7812559Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7812774Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7812984Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7813188Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7813404Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7813615Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7813856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7814219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7814540Z return mod(*inputs) 2025-08-14T21:54:12.7814838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7815153Z x = self.forward_features(x) 2025-08-14T21:54:12.7815488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7815834Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7816153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7816535Z x = block(x) 2025-08-14T21:54:12.7816827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7817170Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7817513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7817834Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7817964Z 2025-08-14T21:54:12.7818052Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7818253Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7818463Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7818671Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7818881Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7819080Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7819287Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7819493Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7819693Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7819929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7820289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7820602Z return mod(*inputs) 2025-08-14T21:54:12.7820895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7821257Z x = self.forward_features(x) 2025-08-14T21:54:12.7821590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7821926Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7822249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7822571Z x = block(x) 2025-08-14T21:54:12.7822842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7823174Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7823537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7823862Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7823992Z 2025-08-14T21:54:12.7824069Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7824278Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7824573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7824925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7825247Z return mod(*inputs) 2025-08-14T21:54:12.7825537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7825900Z x = self.forward_features(x) 2025-08-14T21:54:12.7826228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7826574Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7826891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7827201Z x = block(x) 2025-08-14T21:54:12.7827477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7827802Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7827943Z 2025-08-14T21:54:12.7828024Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7828220Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7828421Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7828620Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7828811Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7829008Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7829205Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7829501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7829849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7830158Z return mod(*inputs) 2025-08-14T21:54:12.7830436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7830736Z x = self.forward_features(x) 2025-08-14T21:54:12.7831058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7831391Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7831694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7832010Z x = block(x) 2025-08-14T21:54:12.7832280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7832606Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7832927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7833238Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7833363Z 2025-08-14T21:54:12.7833446Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7833641Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7833865Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7834069Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7834260Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7834461Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7834660Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7834858Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7835050Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7835276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7835622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7835923Z return mod(*inputs) 2025-08-14T21:54:12.7836227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7836537Z x = self.forward_features(x) 2025-08-14T21:54:12.7836849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7837180Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7837537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7837863Z x = block(x) 2025-08-14T21:54:12.7838125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7838451Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7838780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7839080Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7839213Z 2025-08-14T21:54:12.7839287Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7839491Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7839714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7840052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7840365Z return mod(*inputs) 2025-08-14T21:54:12.7840652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7840951Z x = self.forward_features(x) 2025-08-14T21:54:12.7841275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7841612Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7841918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7842216Z x = block(x) 2025-08-14T21:54:12.7842486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7842818Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7842954Z 2025-08-14T21:54:12.7843027Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7843221Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7843420Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7843618Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7843804Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7843997Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7844189Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7844402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7844742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7845044Z return mod(*inputs) 2025-08-14T21:54:12.7845318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7845632Z x = self.forward_features(x) 2025-08-14T21:54:12.7845948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7846271Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7846590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7846903Z x = block(x) 2025-08-14T21:54:12.7847169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7847478Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7847798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7848115Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7848238Z 2025-08-14T21:54:12.7848319Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7848529Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7848735Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7848934Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7849127Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7849331Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7849531Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7849739Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7849953Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7850178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7850522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7850824Z return mod(*inputs) 2025-08-14T21:54:12.7851106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7851412Z x = self.forward_features(x) 2025-08-14T21:54:12.7851726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7852054Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7852374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7852702Z x = block(x) 2025-08-14T21:54:12.7852972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7853313Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7853632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7853930Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7854063Z 2025-08-14T21:54:12.7854136Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7854337Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7854567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7854918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7855232Z return mod(*inputs) 2025-08-14T21:54:12.7855518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7855822Z x = self.forward_features(x) 2025-08-14T21:54:12.7856151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7856564Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7856884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7857213Z x = block(x) 2025-08-14T21:54:12.7857493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7857827Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7857971Z 2025-08-14T21:54:12.7858049Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7858261Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7858472Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7858671Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7858883Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7859116Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7859328Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7859573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7859943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7860264Z return mod(*inputs) 2025-08-14T21:54:12.7860548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7860866Z x = self.forward_features(x) 2025-08-14T21:54:12.7861301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7861737Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7862295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7862683Z x = block(x) 2025-08-14T21:54:12.7863017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7874137Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7874633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7874964Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7875105Z 2025-08-14T21:54:12.7875188Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7875395Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7875587Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7875781Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7875975Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7876168Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7876363Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7876557Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7876750Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7876975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7877330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7877647Z return mod(*inputs) 2025-08-14T21:54:12.7877933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7878246Z x = self.forward_features(x) 2025-08-14T21:54:12.7878575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7878900Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7879217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7879529Z x = block(x) 2025-08-14T21:54:12.7879799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7880121Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7880449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7880761Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7880890Z 2025-08-14T21:54:12.7880965Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7881165Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7881390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7881736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7882039Z return mod(*inputs) 2025-08-14T21:54:12.7882320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7882623Z x = self.forward_features(x) 2025-08-14T21:54:12.7882937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7883264Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7883612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7883928Z x = block(x) 2025-08-14T21:54:12.7884195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7884529Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7884668Z 2025-08-14T21:54:12.7884749Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7884939Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7885136Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7885332Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7885558Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7885750Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7885944Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7886166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7886508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7886905Z return mod(*inputs) 2025-08-14T21:54:12.7887186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7887482Z x = self.forward_features(x) 2025-08-14T21:54:12.7887814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7888167Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7888482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7888789Z x = block(x) 2025-08-14T21:54:12.7889061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7889386Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7889705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7890021Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7890161Z 2025-08-14T21:54:12.7890237Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7890438Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7890632Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7890832Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7891032Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7891224Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7891424Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7891622Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7891815Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7892043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7892392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7892705Z return mod(*inputs) 2025-08-14T21:54:12.7892985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7893297Z x = self.forward_features(x) 2025-08-14T21:54:12.7893626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7893984Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7894305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7894630Z x = block(x) 2025-08-14T21:54:12.7894907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7895232Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7895563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:12.7895880Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:12.7896008Z 2025-08-14T21:54:12.7896117Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7896424Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7896661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7897018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7897333Z return mod(*inputs) 2025-08-14T21:54:12.7897637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7897950Z x = self.forward_features(x) 2025-08-14T21:54:12.7898269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:12.7898624Z x = self.forward_tokens(x) 2025-08-14T21:54:12.7898949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:12.7899259Z x = block(x) 2025-08-14T21:54:12.7899532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:12.7899872Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7900033Z 2025-08-14T21:54:12.7900116Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7900313Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7900516Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7900717Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7900906Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7901136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7901482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7901792Z return mod(*inputs) 2025-08-14T21:54:12.7902072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7902379Z x = self.forward_features(x) 2025-08-14T21:54:12.7902705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7903038Z x = self.forward_cls(x) 2025-08-14T21:54:12.7903345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-14T21:54:12.7903672Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-14T21:54:12.7903801Z 2025-08-14T21:54:12.7903884Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7904081Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7904308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7904656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7904960Z return mod(*inputs) 2025-08-14T21:54:12.7905247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7905555Z x = self.forward_features(x) 2025-08-14T21:54:12.7905872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7906204Z x = self.forward_cls(x) 2025-08-14T21:54:12.7906507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7906814Z x = block(x) 2025-08-14T21:54:12.7907082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:12.7907444Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7907799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:54:12.7908171Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:54:12.7908358Z 2025-08-14T21:54:12.7908433Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7908636Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7908864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7909245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7909560Z return mod(*inputs) 2025-08-14T21:54:12.7909844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7910150Z x = self.forward_features(x) 2025-08-14T21:54:12.7910467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7910798Z x = self.forward_cls(x) 2025-08-14T21:54:12.7911103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7911420Z x = block(x) 2025-08-14T21:54:12.7911880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:12.7912255Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7912674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:54:12.7913094Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:54:12.7913309Z 2025-08-14T21:54:12.7913387Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7913596Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7913804Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7914003Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7914202Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7914394Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7914621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7914975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7915286Z return mod(*inputs) 2025-08-14T21:54:12.7915576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7915882Z x = self.forward_features(x) 2025-08-14T21:54:12.7916204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7916518Z x = self.forward_cls(x) 2025-08-14T21:54:12.7916815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7917110Z x = block(x) 2025-08-14T21:54:12.7917372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:54:12.7917725Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:54:12.7917911Z 2025-08-14T21:54:12.7917986Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7918209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7918536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7918840Z return mod(*inputs) 2025-08-14T21:54:12.7919121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7919428Z x = self.forward_features(x) 2025-08-14T21:54:12.7919749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7920090Z x = self.forward_cls(x) 2025-08-14T21:54:12.7920384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7920675Z x = block(x) 2025-08-14T21:54:12.7920937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:54:12.7921260Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:54:12.7921400Z 2025-08-14T21:54:12.7921482Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7921676Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7921932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7922281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7922586Z return mod(*inputs) 2025-08-14T21:54:12.7922870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7923174Z x = self.forward_features(x) 2025-08-14T21:54:12.7923511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7923829Z x = self.forward_cls(x) 2025-08-14T21:54:12.7924149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7924450Z x = block(x) 2025-08-14T21:54:12.7924703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:12.7925048Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7925405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:54:12.7925780Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:54:12.7925957Z 2025-08-14T21:54:12.7926033Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7926239Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7926465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7926803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7927108Z return mod(*inputs) 2025-08-14T21:54:12.7927388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7927691Z x = self.forward_features(x) 2025-08-14T21:54:12.7928003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7928331Z x = self.forward_cls(x) 2025-08-14T21:54:12.7928629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7928924Z x = block(x) 2025-08-14T21:54:12.7929189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:12.7929538Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:12.7929890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:54:12.7930266Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:54:12.7930473Z 2025-08-14T21:54:12.7930552Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7930758Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7930954Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7931155Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7931359Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7931561Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7931790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7932139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7932458Z return mod(*inputs) 2025-08-14T21:54:12.7932737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7933056Z x = self.forward_features(x) 2025-08-14T21:54:12.7933394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7933737Z x = self.forward_cls(x) 2025-08-14T21:54:12.7934045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7934371Z x = block(x) 2025-08-14T21:54:12.7934669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:54:12.7935061Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:54:12.7935261Z 2025-08-14T21:54:12.7935338Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7935569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7935929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7935994Z return mod(*inputs) 2025-08-14T21:54:12.7936178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:12.7936314Z x = self.forward_features(x) 2025-08-14T21:54:12.7936557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:12.7936627Z x = self.forward_cls(x) 2025-08-14T21:54:12.7936839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:12.7936901Z x = block(x) 2025-08-14T21:54:12.7937128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:54:12.7937222Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:54:12.7937227Z 2025-08-14T21:54:12.7937330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7937533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7937608Z return mod(*inputs) 2025-08-14T21:54:12.7937786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:54:12.7937864Z x = self.forward_head(x) 2025-08-14T21:54:12.7938060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:54:12.7938143Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:54:12.7938147Z 2025-08-14T21:54:12.7938226Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7938303Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7938417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7938609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7938673Z return mod(*inputs) 2025-08-14T21:54:12.7938860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:54:12.7938927Z x = self.forward_head(x) 2025-08-14T21:54:12.7939124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T21:54:12.7939195Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T21:54:12.7939199Z 2025-08-14T21:54:12.7939296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7939491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7939554Z return mod(*inputs) 2025-08-14T21:54:12.7939730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:54:12.7939805Z x = self.forward_head(x) 2025-08-14T21:54:12.7939997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-08-14T21:54:12.7940069Z out = self.head(out) 2025-08-14T21:54:12.7940073Z 2025-08-14T21:54:12.7940170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:12.7940357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:12.7940427Z return mod(*inputs) 2025-08-14T21:54:12.7940605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:54:12.7940672Z x = self.forward_head(x) 2025-08-14T21:54:12.7940870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T21:54:12.7940959Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T21:54:12.7940963Z 2025-08-14T21:54:12.7941045Z cudagraph partition due to non gpu ops 2025-08-14T21:54:12.7941119Z cudagraph partition due to non gpu ops 2025-08-14T21:54:23.6053598Z Compilation time (from dynamo_timed): 26.275364317 2025-08-14T21:54:23.6053894Z pass 2025-08-14T21:54:23.6057492Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:54:23.6061605Z TIMING: _recursive_pre_grad_passes:0.04602 _recursive_joint_graph_passes:0.47784 _recursive_post_grad_passes:0.16382 async_compile.wait:0.77274 code_gen:10.97651 inductor_compile:13.68491 backend_compile:23.15998 gc:0.00092 entire_frame_compile:26.27536 total_wall_time:26.27536 2025-08-14T21:54:23.6062709Z STATS: call_* op count: 507 | FakeTensorMode.__torch_dispatch__:51951 | FakeTensor.__torch_dispatch__:6407 | ProxyTorchDispatchMode.__torch_dispatch__:8703 2025-08-14T21:54:23.6067600Z Dynamo produced 1 graphs covering 507 ops with 0 graph breaks (0 unique) 2025-08-14T21:54:28.7545384Z 2025-08-14T21:54:30.3271197Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:54:30.3275992Z 2025-08-14T21:54:30.4287397Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-14T21:55:55.5565908Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:55:55.5573400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:55:55.5573689Z env: 2025-08-14T21:55:55.5573849Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:55:55.5574142Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:55:55.5574460Z ##[endgroup] 2025-08-14T21:55:55.5602861Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:55:55.7324989Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:55:56.4704895Z Collecting boto3==1.35.33 2025-08-14T21:55:56.4860720Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:55:56.7095956Z Collecting psutil==7.0.0 2025-08-14T21:55:56.7140450Z 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) 2025-08-14T21:55:56.7412960Z Collecting pynvml==12.0.0 2025-08-14T21:55:56.7454868Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:55:57.5396485Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:55:57.5436245Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:55:57.6766709Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:55:57.6803519Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:55:57.6853992Z 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) 2025-08-14T21:55:57.7169390Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:55:57.7202157Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:55:57.7276611Z 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) 2025-08-14T21:55:57.7280777Z 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) 2025-08-14T21:55:57.8318279Z 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) 2025-08-14T21:55:57.9351087Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:55:58.2766458Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:55:58.2770596Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:55:58.2776650Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:55:58.2912091Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:55:58.3424503Z Attempting uninstall: psutil 2025-08-14T21:55:58.3429734Z Found existing installation: psutil 5.9.8 2025-08-14T21:55:58.3468518Z Uninstalling psutil-5.9.8: 2025-08-14T21:55:58.3472272Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:55:58.4831773Z 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 2025-08-14T21:55:58.6002806Z + DEVICE_NAME= 2025-08-14T21:55:58.6003313Z + DEVICE_TYPE= 2025-08-14T21:55:58.6003575Z + command -v nvidia-smi 2025-08-14T21:55:58.6003992Z + command -v rocminfo 2025-08-14T21:55:58.6004190Z + echo DEVICE_NAME= 2025-08-14T21:55:58.6004471Z + echo DEVICE_TYPE= 2025-08-14T21:55:58.6023243Z ##[group]Run set -eux 2025-08-14T21:55:58.6023440Z set -eux 2025-08-14T21:55:58.6023598Z  2025-08-14T21:55:58.6023759Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:55:58.6023991Z  echo "Missing github-token input" 2025-08-14T21:55:58.6024196Z  exit 1 2025-08-14T21:55:58.6024353Z fi 2025-08-14T21:55:58.6030373Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:55:58.6030620Z env: 2025-08-14T21:55:58.6030766Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:55:58.6031071Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:55:58.6031387Z DEVICE_NAME: 2025-08-14T21:55:58.6031549Z DEVICE_TYPE: 2025-08-14T21:55:58.6031901Z GITHUB_TOKEN: *** 2025-08-14T21:55:58.6032062Z ##[endgroup] 2025-08-14T21:55:58.6052708Z + [[ -z *** ]] 2025-08-14T21:55:58.6082215Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:55:58.6082512Z with: 2025-08-14T21:55:58.6082830Z github-token: *** 2025-08-14T21:55:58.6083004Z env: 2025-08-14T21:55:58.6083158Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:55:58.6083482Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:55:58.6083829Z DEVICE_NAME: 2025-08-14T21:55:58.6083984Z DEVICE_TYPE: 2025-08-14T21:55:58.6084162Z ##[endgroup] 2025-08-14T21:55:58.6094390Z ##[group]Run set -eux 2025-08-14T21:55:58.6094615Z set -eux 2025-08-14T21:55:58.6094805Z  2025-08-14T21:55:58.6095169Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:55:58.6100129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:55:58.6100405Z env: 2025-08-14T21:55:58.6100624Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:55:58.6101006Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:55:58.6101391Z DEVICE_NAME: 2025-08-14T21:55:58.6101583Z DEVICE_TYPE: 2025-08-14T21:55:58.6101892Z GITHUB_TOKEN: *** 2025-08-14T21:55:58.6102072Z ##[endgroup] 2025-08-14T21:55:58.6123272Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0f9ea389e01bef015 2025-08-14T21:56:00.0031850Z setting job-id=48128261044 2025-08-14T21:56:00.0032389Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:00.0140127Z ##[group]Run set -eux 2025-08-14T21:56:00.0140353Z set -eux 2025-08-14T21:56:00.0140520Z  2025-08-14T21:56:00.0140815Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:56:00.0141160Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:56:00.0141423Z  --repo "${REPO}" \ 2025-08-14T21:56:00.0141648Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:56:00.0141874Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:56:00.0142109Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:56:00.0142356Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:56:00.0142577Z  --job-id "${JOB_ID}" \ 2025-08-14T21:56:00.0142790Z  --job-name "${JOB_NAME}" 2025-08-14T21:56:00.0147841Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:00.0148104Z env: 2025-08-14T21:56:00.0148278Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:00.0148603Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:00.0148947Z DEVICE_NAME: 2025-08-14T21:56:00.0149196Z DEVICE_TYPE: 2025-08-14T21:56:00.0149355Z SCHEMA_VERSION: v3 2025-08-14T21:56:00.0149524Z REPO: pytorch/pytorch 2025-08-14T21:56:00.0149711Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:56:00.0149933Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:56:00.0150156Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:56:00.0150342Z RUN_ATTEMPT: 1 2025-08-14T21:56:00.0150505Z JOB_ID: 48128261044 2025-08-14T21:56:00.0150842Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:00.0151203Z ##[endgroup] 2025-08-14T21:56:00.0178627Z + 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 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976338999 --run-attempt 1 --job-id 48128261044 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)' 2025-08-14T21:56:00.0444205Z ##[group]Run set -eux 2025-08-14T21:56:00.0444517Z set -eux 2025-08-14T21:56:00.0444662Z  2025-08-14T21:56:00.0444917Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:56:00.0449545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:00.0449772Z env: 2025-08-14T21:56:00.0449935Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:00.0450232Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:00.0450546Z DEVICE_NAME: 2025-08-14T21:56:00.0450702Z DEVICE_TYPE: 2025-08-14T21:56:00.0450852Z ##[endgroup] 2025-08-14T21:56:00.0475815Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:56:00.0791122Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:56:00.0877877Z ##[group]Run set -eux 2025-08-14T21:56:00.0878072Z set -eux 2025-08-14T21:56:00.0878230Z  2025-08-14T21:56:00.0878390Z # TODO (huydhn): Implement this part 2025-08-14T21:56:00.0878631Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:56:00.0882884Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:00.0883117Z env: 2025-08-14T21:56:00.0883273Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:00.0883584Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:00.0883890Z DEVICE_NAME: 2025-08-14T21:56:00.0885052Z DEVICE_TYPE: 2025-08-14T21:56:00.0885217Z ##[endgroup] 2025-08-14T21:56:00.0905003Z + echo 'dependencies={}' 2025-08-14T21:56:00.0921827Z ##[group]Run set -eux 2025-08-14T21:56:00.0922025Z set -eux 2025-08-14T21:56:00.0922181Z  2025-08-14T21:56:00.0922365Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:56:00.0922650Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:56:00.0922947Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:56:00.0923188Z  exit 0 2025-08-14T21:56:00.0923337Z fi 2025-08-14T21:56:00.0923472Z  2025-08-14T21:56:00.0923635Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:56:00.0923933Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:56:00.0924266Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:56:00.0924545Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:56:00.0924769Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:56:00.0924994Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:56:00.0925202Z  --dry-run 2025-08-14T21:56:00.0925368Z else 2025-08-14T21:56:00.0925613Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:56:00.0926004Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:56:00.0926267Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:56:00.0926488Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:56:00.0926703Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:56:00.0926893Z fi 2025-08-14T21:56:00.0930848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:00.0931079Z env: 2025-08-14T21:56:00.0931234Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:00.0931519Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:00.0931825Z DEVICE_NAME: 2025-08-14T21:56:00.0931980Z DEVICE_TYPE: 2025-08-14T21:56:00.0932157Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:56:00.0932354Z DRY_RUN: false 2025-08-14T21:56:00.0933167Z BENCHMARK_METADATA: {"timestamp": 1755208560, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128261044} 2025-08-14T21:56:00.0934231Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-9-95.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:56:00.0934627Z DEPENDENCIES: {} 2025-08-14T21:56:00.0934784Z ##[endgroup] 2025-08-14T21:56:00.0957111Z + [[ ! -d test/test-reports ]] 2025-08-14T21:56:00.0957496Z + [[ false == \t\r\u\e ]] 2025-08-14T21:56:00.0959178Z + 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": 1755208560, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128261044}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-9-95.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:56:00.2089180Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128261044/inference_timm_models.json 2025-08-14T21:56:00.2350965Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:56:00.4587778Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:56:00.4588052Z cat test/**/*_toprint.log || true 2025-08-14T21:56:00.4592708Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:00.4592974Z env: 2025-08-14T21:56:00.4593141Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:00.4593445Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:00.4593783Z DEVICE_NAME: 2025-08-14T21:56:00.4593952Z DEVICE_TYPE: 2025-08-14T21:56:00.4594102Z ##[endgroup] 2025-08-14T21:56:00.4669494Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:56:00.4690222Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:56:00.4690471Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:56:00.4694788Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:00.4695030Z env: 2025-08-14T21:56:00.4695188Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:00.4695480Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:00.4695804Z DEVICE_NAME: 2025-08-14T21:56:00.4695961Z DEVICE_TYPE: 2025-08-14T21:56:00.4696124Z MONITOR_SCRIPT_PID: 47849 2025-08-14T21:56:00.4696632Z ##[endgroup] 2025-08-14T21:56:00.4790619Z Prepare all required actions 2025-08-14T21:56:00.4790947Z Getting action download info 2025-08-14T21:56:00.6521259Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:56:00.8507717Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:56:01.2565862Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:56:01.2566156Z with: 2025-08-14T21:56:01.2566481Z file-suffix: test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:56:01.2566837Z s3-bucket: gha-artifacts 2025-08-14T21:56:01.2567037Z env: 2025-08-14T21:56:01.2567195Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.2567508Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.2567845Z DEVICE_NAME: 2025-08-14T21:56:01.2568013Z DEVICE_TYPE: 2025-08-14T21:56:01.2568167Z ##[endgroup] 2025-08-14T21:56:01.2585294Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:56:01.2585675Z # Remove any previous test jsons if they exist 2025-08-14T21:56:01.2585901Z rm -f test-jsons-*.zip 2025-08-14T21:56:01.2586172Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:56:01.2590655Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:01.2590890Z env: 2025-08-14T21:56:01.2591047Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.2591356Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.2591673Z DEVICE_NAME: 2025-08-14T21:56:01.2591838Z DEVICE_TYPE: 2025-08-14T21:56:01.2592106Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:56:01.2592400Z ##[endgroup] 2025-08-14T21:56:01.2787366Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:56:01.2807706Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:56:01.2808080Z # Remove any previous test reports if they exist 2025-08-14T21:56:01.2808338Z rm -f test-reports-*.zip 2025-08-14T21:56:01.2808648Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:56:01.2813452Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:01.2813711Z env: 2025-08-14T21:56:01.2813881Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.2814199Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.2814537Z DEVICE_NAME: 2025-08-14T21:56:01.2814706Z DEVICE_TYPE: 2025-08-14T21:56:01.2814981Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:56:01.2815294Z ##[endgroup] 2025-08-14T21:56:01.2893286Z adding: test/test-reports/inference_timm_models.csv (deflated 62%) 2025-08-14T21:56:01.2912095Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:56:01.2912422Z # Remove any previous usage logs if they exist 2025-08-14T21:56:01.2912675Z rm -f logs-*.zip 2025-08-14T21:56:01.2912903Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:56:01.2913228Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:56:01.2917317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:01.2917562Z env: 2025-08-14T21:56:01.2917714Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.2918023Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.2918353Z DEVICE_NAME: 2025-08-14T21:56:01.2918507Z DEVICE_TYPE: 2025-08-14T21:56:01.2918774Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:56:01.2919070Z ##[endgroup] 2025-08-14T21:56:01.2986546Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:56:01.2997624Z 2025-08-14T21:56:01.2998443Z zip error: Nothing to do! (logs-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip) 2025-08-14T21:56:01.3014176Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:56:01.3014543Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:56:01.3014822Z rm -f debug-*.zip 2025-08-14T21:56:01.3015024Z if [ -d 'test/debug' ]; then 2025-08-14T21:56:01.3015278Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:56:01.3015510Z fi 2025-08-14T21:56:01.3019671Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:01.3019911Z env: 2025-08-14T21:56:01.3020069Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.3020364Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.3020683Z DEVICE_NAME: 2025-08-14T21:56:01.3020840Z DEVICE_TYPE: 2025-08-14T21:56:01.3021107Z FILE_SUFFIX: test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044 2025-08-14T21:56:01.3021397Z ##[endgroup] 2025-08-14T21:56:01.3088311Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:01.3088559Z with: 2025-08-14T21:56:01.3088725Z s3-bucket: gha-artifacts 2025-08-14T21:56:01.3088954Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:01.3089189Z retention-days: 14 2025-08-14T21:56:01.3089363Z if-no-files-found: warn 2025-08-14T21:56:01.3089548Z path: test-jsons-*.zip 2025-08-14T21:56:01.3089716Z name: artifact 2025-08-14T21:56:01.3089878Z region: us-east-1 2025-08-14T21:56:01.3090038Z env: 2025-08-14T21:56:01.3090181Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.3090494Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.3090833Z DEVICE_NAME: 2025-08-14T21:56:01.3090993Z DEVICE_TYPE: 2025-08-14T21:56:01.3091142Z ##[endgroup] 2025-08-14T21:56:01.6039868Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:56:01.6040274Z With the provided path, there will be 1 file uploaded 2025-08-14T21:56:01.6040592Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:01.6071910Z Starting upload of test-jsons-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:01.7416723Z Finished upload of test-jsons-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:01.7558160Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:01.7558389Z with: 2025-08-14T21:56:01.7558556Z s3-bucket: gha-artifacts 2025-08-14T21:56:01.7558783Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:01.7559010Z retention-days: 14 2025-08-14T21:56:01.7559185Z if-no-files-found: error 2025-08-14T21:56:01.7559376Z path: test-reports-*.zip 2025-08-14T21:56:01.7559545Z name: artifact 2025-08-14T21:56:01.7559708Z region: us-east-1 2025-08-14T21:56:01.7559868Z env: 2025-08-14T21:56:01.7560014Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:01.7560350Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:01.7560698Z DEVICE_NAME: 2025-08-14T21:56:01.7560867Z DEVICE_TYPE: 2025-08-14T21:56:01.7561028Z ##[endgroup] 2025-08-14T21:56:02.0195411Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:56:02.0197598Z With the provided path, there will be 1 file uploaded 2025-08-14T21:56:02.0198094Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:02.0229585Z Starting upload of test-reports-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:02.1352443Z Finished upload of test-reports-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:02.1515454Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:02.1515690Z with: 2025-08-14T21:56:02.1515855Z s3-bucket: gha-artifacts 2025-08-14T21:56:02.1516083Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:02.1516490Z retention-days: 14 2025-08-14T21:56:02.1516683Z if-no-files-found: ignore 2025-08-14T21:56:02.1516895Z path: logs-*.zip 2025-08-14T21:56:02.1517062Z name: artifact 2025-08-14T21:56:02.1517236Z region: us-east-1 2025-08-14T21:56:02.1517410Z env: 2025-08-14T21:56:02.1517570Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:02.1517915Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:02.1518274Z DEVICE_NAME: 2025-08-14T21:56:02.1518461Z DEVICE_TYPE: 2025-08-14T21:56:02.1518619Z ##[endgroup] 2025-08-14T21:56:02.4105419Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:56:02.4110108Z With the provided path, there will be 1 file uploaded 2025-08-14T21:56:02.4115005Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:02.4132816Z Starting upload of logs-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:02.5070696Z Finished upload of logs-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:02.5255368Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:02.5255766Z with: 2025-08-14T21:56:02.5255954Z s3-bucket: gha-artifacts 2025-08-14T21:56:02.5256204Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:02.5256559Z retention-days: 14 2025-08-14T21:56:02.5256746Z if-no-files-found: ignore 2025-08-14T21:56:02.5256955Z path: debug-*.zip 2025-08-14T21:56:02.5257137Z name: artifact 2025-08-14T21:56:02.5257335Z region: us-east-1 2025-08-14T21:56:02.5257511Z env: 2025-08-14T21:56:02.5257679Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:02.5258048Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:02.5258400Z DEVICE_NAME: 2025-08-14T21:56:02.5258571Z DEVICE_TYPE: 2025-08-14T21:56:02.5258728Z ##[endgroup] 2025-08-14T21:56:02.7805291Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:56:02.7968082Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:56:02.7968355Z # shellcheck disable=SC2156 2025-08-14T21:56:02.7968743Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:56:02.7974503Z shell: /usr/bin/bash -e {0} 2025-08-14T21:56:02.7974724Z env: 2025-08-14T21:56:02.7974896Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:02.7975204Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:02.7975534Z DEVICE_NAME: 2025-08-14T21:56:02.7975692Z DEVICE_TYPE: 2025-08-14T21:56:02.7975840Z ##[endgroup] 2025-08-14T21:56:02.9751590Z Prepare all required actions 2025-08-14T21:56:02.9751915Z Getting action download info 2025-08-14T21:56:03.1024752Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:56:03.1025011Z with: 2025-08-14T21:56:03.1025181Z job_id: 48128261044 2025-08-14T21:56:03.1025555Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:03.1025980Z workflow_name: inductor-periodic 2025-08-14T21:56:03.1026205Z workflow_run_id: 16976338999 2025-08-14T21:56:03.1026406Z workflow_attempt: 1 2025-08-14T21:56:03.1026574Z env: 2025-08-14T21:56:03.1026739Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:03.1027071Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:03.1027407Z DEVICE_NAME: 2025-08-14T21:56:03.1027568Z DEVICE_TYPE: 2025-08-14T21:56:03.1027735Z ##[endgroup] 2025-08-14T21:56:03.1041142Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T21:56:03.1041431Z echo "workflow_id: 16976338999" 2025-08-14T21:56:03.1041652Z echo "workflow_attempt: 1" 2025-08-14T21:56:03.1041878Z echo "workflow_Name: inductor-periodic" 2025-08-14T21:56:03.1042107Z echo "job_id: 48128261044" 2025-08-14T21:56:03.1042503Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)" 2025-08-14T21:56:03.1042985Z echo "artifact_prefix: " 2025-08-14T21:56:03.1043228Z python3 --version 2025-08-14T21:56:03.1047948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:03.1048195Z env: 2025-08-14T21:56:03.1048346Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:03.1048654Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:03.1048977Z DEVICE_NAME: 2025-08-14T21:56:03.1049132Z DEVICE_TYPE: 2025-08-14T21:56:03.1049292Z ##[endgroup] 2025-08-14T21:56:03.1077455Z workflow_id: 16976338999 2025-08-14T21:56:03.1081391Z workflow_attempt: 1 2025-08-14T21:56:03.1087036Z workflow_Name: inductor-periodic 2025-08-14T21:56:03.1089542Z job_id: 48128261044 2025-08-14T21:56:03.1089960Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:03.1090393Z artifact_prefix: 2025-08-14T21:56:03.1090565Z Python 3.9.23 2025-08-14T21:56:03.1115127Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:56:03.1115428Z with: 2025-08-14T21:56:03.1115590Z shell: bash 2025-08-14T21:56:03.1115757Z timeout_minutes: 5 2025-08-14T21:56:03.1115937Z max_attempts: 5 2025-08-14T21:56:03.1116110Z retry_wait_seconds: 30 2025-08-14T21:56:03.1116493Z 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 2025-08-14T21:56:03.1116885Z polling_interval_seconds: 1 2025-08-14T21:56:03.1117084Z warning_on_retry: true 2025-08-14T21:56:03.1117280Z continue_on_error: false 2025-08-14T21:56:03.1117469Z env: 2025-08-14T21:56:03.1117622Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:03.1117949Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:03.1118285Z DEVICE_NAME: 2025-08-14T21:56:03.1118482Z DEVICE_TYPE: 2025-08-14T21:56:03.1118664Z ##[endgroup] 2025-08-14T21:56:03.3807537Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:56:03.4410523Z Collecting python-dateutil==2.8.2 2025-08-14T21:56:03.4566687Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:56:04.1462780Z Collecting boto3==1.35.42 2025-08-14T21:56:04.1507007Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:56:04.5326410Z Collecting pandas==2.1.3 2025-08-14T21:56:04.5374400Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:56:04.6274911Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:56:04.6286167Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:56:04.6328396Z 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) 2025-08-14T21:56:04.6329150Z 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) 2025-08-14T21:56:04.6332125Z 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) 2025-08-14T21:56:04.7037473Z Collecting tzdata>=2022.1 2025-08-14T21:56:04.7075880Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:56:04.7169227Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:56:05.3139785Z Collecting numpy<2,>=1.22.4 2025-08-14T21:56:05.3223594Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:56:05.4494366Z 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) 2025-08-14T21:56:05.4495475Z 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) 2025-08-14T21:56:05.4535540Z 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) 2025-08-14T21:56:05.4621931Z 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) 2025-08-14T21:56:05.4695826Z 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) (4.14.1) 2025-08-14T21:56:05.4698626Z 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) 2025-08-14T21:56:05.5874549Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T21:56:09.5026850Z Attempting uninstall: boto3 2025-08-14T21:56:09.5029179Z Found existing installation: boto3 1.35.33 2025-08-14T21:56:09.5092114Z Uninstalling boto3-1.35.33: 2025-08-14T21:56:09.5099017Z Successfully uninstalled boto3-1.35.33 2025-08-14T21:56:09.5543021Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T21:56:10.1857873Z Command completed after 1 attempt(s). 2025-08-14T21:56:10.1909910Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:56:10.1910375Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:56:10.1910693Z  --workflow-run-id "16976338999" \ 2025-08-14T21:56:10.1910941Z  --workflow-name "inductor-periodic" \ 2025-08-14T21:56:10.1911189Z  --workflow-run-attempt "1" \ 2025-08-14T21:56:10.1911413Z  --job-id "48128261044" \ 2025-08-14T21:56:10.1912230Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)" \ 2025-08-14T21:56:10.1912669Z  --local-path "" \ 2025-08-14T21:56:10.1912874Z  --artifact-prefix "" 2025-08-14T21:56:10.1919011Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:10.1919265Z env: 2025-08-14T21:56:10.1919431Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:10.1919746Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:10.1920080Z DEVICE_NAME: 2025-08-14T21:56:10.1920241Z DEVICE_TYPE: 2025-08-14T21:56:10.1920394Z ##[endgroup] 2025-08-14T21:56:11.0086865Z repo: pytorch/pytorch 2025-08-14T21:56:11.0087293Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T21:56:11.0087756Z Downloading logs-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:11.0088314Z extracting usage_log.txt from zip file logs-test-cpu_inductor_amp_freezing_timm-2-2-linux.8xlarge.amx_48128261044.zip 2025-08-14T21:56:11.0088753Z Converted Log Model: UtilizationMetadata: 2025-08-14T21:56:11.0089739Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128261044', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207307, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T21:56:11.0090776Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T21:56:11.0091063Z [db model] Peek db timeseries 2025-08-14T21:56:11.0091273Z :{ 2025-08-14T21:56:11.0091439Z "created_at": 1755208570, 2025-08-14T21:56:11.0091643Z "type": "utilization", 2025-08-14T21:56:11.0091838Z "tags": [ 2025-08-14T21:56:11.0092007Z "record" 2025-08-14T21:56:11.0092166Z ], 2025-08-14T21:56:11.0092344Z "time_stamp": 1755207307, 2025-08-14T21:56:11.0092690Z "repo": "pytorch/pytorch", 2025-08-14T21:56:11.0092887Z "workflow_id": 16976338999, 2025-08-14T21:56:11.0093090Z "run_attempt": 1, 2025-08-14T21:56:11.0093272Z "job_id": 48128261044, 2025-08-14T21:56:11.0093469Z "workflow_name": "inductor-periodic", 2025-08-14T21:56:11.0093887Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_amp_freezing_timm, 2, 2, linux.8xlarge.amx)", 2025-08-14T21:56:11.0094286Z "json_data": "{}" 2025-08-14T21:56:11.0094464Z } 2025-08-14T21:56:11.0094807Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128261044/metadata 2025-08-14T21:56:11.0095430Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128261044/metadata 2025-08-14T21:56:11.0096089Z Writing 245 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128261044/time_series 2025-08-14T21:56:11.0096976Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128261044/time_series 2025-08-14T21:56:11.1114945Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T21:56:11.1115300Z with: 2025-08-14T21:56:11.1115486Z env: 2025-08-14T21:56:11.1115665Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:11.1116045Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:11.1116455Z DEVICE_NAME: 2025-08-14T21:56:11.1116647Z DEVICE_TYPE: 2025-08-14T21:56:11.1116834Z ##[endgroup] 2025-08-14T21:56:11.1128497Z ##[group]Run set -eou pipefail 2025-08-14T21:56:11.1128739Z set -eou pipefail 2025-08-14T21:56:11.1128929Z  2025-08-14T21:56:11.1129176Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T21:56:11.1129497Z for _ in $(seq 1440); do 2025-08-14T21:56:11.1129769Z  # Break if no ssh session exists anymore 2025-08-14T21:56:11.1130041Z  if [ "$(who)" = "" ]; then 2025-08-14T21:56:11.1130285Z  break 2025-08-14T21:56:11.1130515Z  fi 2025-08-14T21:56:11.1130706Z  echo "." 2025-08-14T21:56:11.1130903Z  sleep 5 2025-08-14T21:56:11.1131096Z done 2025-08-14T21:56:11.1136832Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:11.1137151Z env: 2025-08-14T21:56:11.1137350Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:11.1137750Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:11.1138129Z DEVICE_NAME: 2025-08-14T21:56:11.1138323Z DEVICE_TYPE: 2025-08-14T21:56:11.1138515Z ##[endgroup] 2025-08-14T21:56:11.1165578Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T21:56:11.1254499Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:56:11.1255033Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:56:11.1255335Z # shellcheck disable=SC2046 2025-08-14T21:56:11.1255590Z docker stop $(docker ps -q) || true 2025-08-14T21:56:11.1255828Z # Prune all of the docker images 2025-08-14T21:56:11.1256060Z docker system prune -af 2025-08-14T21:56:11.1260345Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:11.1260607Z env: 2025-08-14T21:56:11.1260771Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:11.1261101Z DOCKER_CONTAINER_ID: c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:11.1261441Z DEVICE_NAME: 2025-08-14T21:56:11.1261611Z DEVICE_TYPE: 2025-08-14T21:56:11.1261777Z ##[endgroup] 2025-08-14T21:56:22.0237992Z c7e825bafeb3 2025-08-14T21:56:22.5132072Z Deleted Containers: 2025-08-14T21:56:22.5132433Z c7e825bafeb39579c53642ece5f6ffad29cd72a294a47bd700c281b16d382c64 2025-08-14T21:56:22.5132675Z 2025-08-14T21:56:29.5114139Z Deleted Images: 2025-08-14T21:56:29.5117190Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 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2025-08-14T21:56:29.6049470Z git version 2.47.1 2025-08-14T21:56:29.6085171Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d5c9590e-895c-4828-897d-2e6b9596d9dd/.gitconfig' 2025-08-14T21:56:29.6094617Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d5c9590e-895c-4828-897d-2e6b9596d9dd' before making global git config changes 2025-08-14T21:56:29.6095474Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:56:29.6096512Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:56:29.6159359Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:56:29.6194157Z [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' || :" 2025-08-14T21:56:29.6514392Z Entering 'android/libs/fbjni' 2025-08-14T21:56:29.6573930Z Entering 'third_party/FP16' 2025-08-14T21:56:29.6624982Z Entering 'third_party/FXdiv' 2025-08-14T21:56:29.6687355Z Entering 'third_party/NNPACK' 2025-08-14T21:56:29.6745227Z Entering 'third_party/NVTX' 2025-08-14T21:56:29.6798909Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:56:29.6854709Z Entering 'third_party/XNNPACK' 2025-08-14T21:56:29.6923662Z Entering 'third_party/aiter' 2025-08-14T21:56:29.6976862Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:56:29.7042245Z Entering 'third_party/benchmark' 2025-08-14T21:56:29.7092658Z Entering 'third_party/composable_kernel' 2025-08-14T21:56:29.7161747Z Entering 'third_party/cpp-httplib' 2025-08-14T21:56:29.7214563Z Entering 'third_party/cpuinfo' 2025-08-14T21:56:29.7273303Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:56:29.7327165Z Entering 'third_party/cutlass' 2025-08-14T21:56:29.7395995Z Entering 'third_party/fbgemm' 2025-08-14T21:56:29.7456378Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:56:29.7511298Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:56:29.7574829Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:56:29.7627403Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:56:29.7685786Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:56:29.7738732Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:56:29.7796342Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:56:29.7857019Z Entering 'third_party/flash-attention' 2025-08-14T21:56:29.7912856Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:56:29.7972768Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:56:29.8038950Z Entering 'third_party/flatbuffers' 2025-08-14T21:56:29.8092923Z Entering 'third_party/fmt' 2025-08-14T21:56:29.8153928Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:56:29.8206839Z Entering 'third_party/gloo' 2025-08-14T21:56:29.8267797Z Entering 'third_party/googletest' 2025-08-14T21:56:29.8321984Z Entering 'third_party/ideep' 2025-08-14T21:56:29.8375837Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:56:29.8438722Z Entering 'third_party/ittapi' 2025-08-14T21:56:29.8493422Z Entering 'third_party/kineto' 2025-08-14T21:56:29.8549905Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:56:29.8605860Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:56:29.8668666Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:56:29.8720923Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:56:29.8774616Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:56:29.8831026Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:56:29.8888067Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:56:29.8946359Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:56:29.9006259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:56:29.9069727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:56:29.9122965Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:56:29.9180648Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:56:29.9234103Z Entering 'third_party/kleidiai' 2025-08-14T21:56:29.9288029Z Entering 'third_party/mimalloc' 2025-08-14T21:56:29.9351550Z Entering 'third_party/nlohmann' 2025-08-14T21:56:29.9406251Z Entering 'third_party/onnx' 2025-08-14T21:56:29.9478615Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:56:29.9537894Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:56:29.9593676Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:56:29.9650695Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:56:29.9705020Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:56:29.9760783Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:56:29.9812977Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:56:29.9874885Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:56:29.9930355Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:56:29.9982467Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:56:30.0036037Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:56:30.0091694Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:56:30.0166047Z Entering 'third_party/pocketfft' 2025-08-14T21:56:30.0225241Z Entering 'third_party/protobuf' 2025-08-14T21:56:30.0279517Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:56:30.0338741Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:56:30.0394072Z Entering 'third_party/psimd' 2025-08-14T21:56:30.0454301Z Entering 'third_party/pthreadpool' 2025-08-14T21:56:30.0509034Z Entering 'third_party/pybind11' 2025-08-14T21:56:30.0568339Z Entering 'third_party/python-peachpy' 2025-08-14T21:56:30.0624795Z Entering 'third_party/sleef' 2025-08-14T21:56:30.0689688Z Entering 'third_party/tensorpipe' 2025-08-14T21:56:30.0742763Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:56:30.0798714Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:56:30.0852526Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:56:30.0907575Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:56:30.0957810Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:56:30.1042191Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:56:30.1067858Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1075955Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T21:56:30.1104837Z [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' || :" 2025-08-14T21:56:30.1412849Z Entering 'android/libs/fbjni' 2025-08-14T21:56:30.1450222Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1486451Z Entering 'third_party/FP16' 2025-08-14T21:56:30.1523813Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1557867Z Entering 'third_party/FXdiv' 2025-08-14T21:56:30.1594142Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1628147Z Entering 'third_party/NNPACK' 2025-08-14T21:56:30.1667586Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1698098Z Entering 'third_party/NVTX' 2025-08-14T21:56:30.1737249Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1771803Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:56:30.1802303Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1843699Z Entering 'third_party/XNNPACK' 2025-08-14T21:56:30.1877901Z http.https://github.com/.extraheader 2025-08-14T21:56:30.1929117Z Entering 'third_party/aiter' 2025-08-14T21:56:30.1969520Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2000284Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:56:30.2035480Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2081179Z Entering 'third_party/benchmark' 2025-08-14T21:56:30.2115473Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2153582Z Entering 'third_party/composable_kernel' 2025-08-14T21:56:30.2186651Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2230683Z Entering 'third_party/cpp-httplib' 2025-08-14T21:56:30.2268555Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2303512Z Entering 'third_party/cpuinfo' 2025-08-14T21:56:30.2337080Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2374071Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:56:30.2409497Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2448944Z Entering 'third_party/cutlass' 2025-08-14T21:56:30.2483643Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2530921Z Entering 'third_party/fbgemm' 2025-08-14T21:56:30.2567658Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2602744Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:56:30.2635921Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2675346Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:56:30.2707276Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2747853Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:56:30.2785783Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2813732Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:56:30.2846518Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2887141Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:56:30.2925962Z http.https://github.com/.extraheader 2025-08-14T21:56:30.2967298Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:56:30.2999667Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3032433Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:56:30.3068501Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3105119Z Entering 'third_party/flash-attention' 2025-08-14T21:56:30.3143870Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3182385Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:56:30.3215722Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3255612Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:56:30.3292621Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3335419Z Entering 'third_party/flatbuffers' 2025-08-14T21:56:30.3370743Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3409854Z Entering 'third_party/fmt' 2025-08-14T21:56:30.3445948Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3483113Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:56:30.3509118Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3548955Z Entering 'third_party/gloo' 2025-08-14T21:56:30.3581403Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3622279Z Entering 'third_party/googletest' 2025-08-14T21:56:30.3651392Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3695385Z Entering 'third_party/ideep' 2025-08-14T21:56:30.3727513Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3763584Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:56:30.3796062Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3836905Z Entering 'third_party/ittapi' 2025-08-14T21:56:30.3872060Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3902856Z Entering 'third_party/kineto' 2025-08-14T21:56:30.3935979Z http.https://github.com/.extraheader 2025-08-14T21:56:30.3971572Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:56:30.4009483Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4050601Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:56:30.4082321Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4124886Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:56:30.4159880Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4202847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:56:30.4237892Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4272656Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:56:30.4305866Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4337763Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:56:30.4372910Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4413207Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:56:30.4451860Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4489019Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:56:30.4525168Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4564394Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:56:30.4600094Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4636286Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:56:30.4669624Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4702834Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:56:30.4738542Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4771101Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:56:30.4805463Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4846802Z Entering 'third_party/kleidiai' 2025-08-14T21:56:30.4881173Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4920621Z Entering 'third_party/mimalloc' 2025-08-14T21:56:30.4958239Z http.https://github.com/.extraheader 2025-08-14T21:56:30.4992543Z Entering 'third_party/nlohmann' 2025-08-14T21:56:30.5026680Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5069442Z Entering 'third_party/onnx' 2025-08-14T21:56:30.5099858Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5155409Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:56:30.5188445Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5231072Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:56:30.5264657Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5297554Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:56:30.5335358Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5368928Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:56:30.5399577Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5437835Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:56:30.5474861Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5507444Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:56:30.5550184Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5586169Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:56:30.5617013Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5656832Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:56:30.5690745Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5728390Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:56:30.5760604Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5797266Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:56:30.5836739Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5877168Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:56:30.5908577Z http.https://github.com/.extraheader 2025-08-14T21:56:30.5945335Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:56:30.5977537Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6030370Z Entering 'third_party/pocketfft' 2025-08-14T21:56:30.6068191Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6101652Z Entering 'third_party/protobuf' 2025-08-14T21:56:30.6137843Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6174600Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:56:30.6202116Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6245701Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:56:30.6278061Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6322100Z Entering 'third_party/psimd' 2025-08-14T21:56:30.6350760Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6389524Z Entering 'third_party/pthreadpool' 2025-08-14T21:56:30.6426971Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6462847Z Entering 'third_party/pybind11' 2025-08-14T21:56:30.6494470Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6528672Z Entering 'third_party/python-peachpy' 2025-08-14T21:56:30.6566737Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6599504Z Entering 'third_party/sleef' 2025-08-14T21:56:30.6638508Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6676357Z Entering 'third_party/tensorpipe' 2025-08-14T21:56:30.6707382Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6748536Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:56:30.6777384Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6809961Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:56:30.6847711Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6886462Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:56:30.6916249Z http.https://github.com/.extraheader 2025-08-14T21:56:30.6953504Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:56:30.6992066Z http.https://github.com/.extraheader 2025-08-14T21:56:30.7026241Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:56:30.7054440Z http.https://github.com/.extraheader 2025-08-14T21:56:30.7208402Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T21:56:30.7219965Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T21:56:30.7223265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:30.7223521Z ##[endgroup] 2025-08-14T21:56:30.7306254Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T21:56:39.5854173Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T21:56:54.2119423Z Cleaning up orphan processes