2025-08-14T21:24:07.6694435Z Current runner version: '2.328.0' 2025-08-14T21:24:07.6699657Z Runner name: 'i-0119168a8260cce03' 2025-08-14T21:24:07.6700610Z Runner group name: 'default' 2025-08-14T21:24:07.6701380Z Machine name: 'ip-10-0-41-45' 2025-08-14T21:24:07.6703703Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:24:07.6705966Z Contents: read 2025-08-14T21:24:07.6706400Z Metadata: read 2025-08-14T21:24:07.6706911Z ##[endgroup] 2025-08-14T21:24:07.6708817Z Secret source: Actions 2025-08-14T21:24:07.6709457Z Prepare workflow directory 2025-08-14T21:24:07.7135923Z Prepare all required actions 2025-08-14T21:24:07.7170713Z Getting action download info 2025-08-14T21:24:08.0473064Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:24:09.4977614Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:24:24.2082525Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:24:24.5018807Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:24:24.7070926Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:24:24.8651862Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:24:25.2089403Z Getting action download info 2025-08-14T21:24:25.3064813Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:24:25.5986043Z Getting action download info 2025-08-14T21:24:25.7163447Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:24:25.9018056Z Getting action download info 2025-08-14T21:24:26.0258129Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:24:26.2037249Z Getting action download info 2025-08-14T21:24:26.3397906Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:24:26.3401253Z ##[group] Inputs 2025-08-14T21:24:26.3401568Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:24:26.3403991Z test-matrix: {"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]} 2025-08-14T21:24:26.3406839Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:26.3407460Z sync-tag: 2025-08-14T21:24:26.3408131Z timeout-minutes: 240 2025-08-14T21:24:26.3408328Z use-gha: 2025-08-14T21:24:26.3408823Z dashboard-tag: 2025-08-14T21:24:26.3409107Z s3-bucket: gha-artifacts 2025-08-14T21:24:26.3409313Z aws-role-to-assume: 2025-08-14T21:24:26.3409709Z disable-monitor: false 2025-08-14T21:24:26.3409939Z monitor-log-interval: 5 2025-08-14T21:24:26.3410165Z monitor-data-collect-interval: 1 2025-08-14T21:24:26.3410385Z ##[endgroup] 2025-08-14T21:24:26.3410815Z Complete job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:24:26.3903243Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:24:26.3987918Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:24:26.3995052Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:26.3995605Z ##[endgroup] 2025-08-14T21:24:27.4826097Z Runner Type: linux.8xlarge.amx 2025-08-14T21:24:27.4826723Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:24:27.4827049Z AMI Name: unknown 2025-08-14T21:24:27.4850529Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:24:32.1904275Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:24:32.1904677Z with: 2025-08-14T21:24:32.1905371Z github-secret: *** 2025-08-14T21:24:32.1905949Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:24:32.1906540Z activate-with-label: false 2025-08-14T21:24:32.1906799Z label: with-ssh 2025-08-14T21:24:32.1907151Z remove-existing-keys: true 2025-08-14T21:24:32.1907433Z fail-silently: true 2025-08-14T21:24:32.1907665Z env: 2025-08-14T21:24:32.1907929Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:32.1908260Z ##[endgroup] 2025-08-14T21:24:32.2958538Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:24:32.2960647Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:24:32.3186643Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:24:32.3186997Z with: 2025-08-14T21:24:32.3187190Z no-sudo: true 2025-08-14T21:24:32.3187373Z submodules: recursive 2025-08-14T21:24:32.3187577Z fetch-depth: 0 2025-08-14T21:24:32.3187754Z env: 2025-08-14T21:24:32.3187914Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:32.3188113Z ##[endgroup] 2025-08-14T21:24:32.3257655Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:24:32.3258331Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:24:32.3267745Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:32.3268025Z env: 2025-08-14T21:24:32.3268234Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:32.3268471Z ##[endgroup] 2025-08-14T21:24:32.3369929Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:24:32.3370307Z # Use all available CPUs for fetching 2025-08-14T21:24:32.3370547Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:24:32.3370800Z git config --global fetch.parallel 0 2025-08-14T21:24:32.3371072Z git config --global submodule.fetchJobs 0 2025-08-14T21:24:32.3371310Z  2025-08-14T21:24:32.3371669Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:24:32.3372022Z # do it here as well just in case 2025-08-14T21:24:32.3372255Z if [[ -d .git ]]; then 2025-08-14T21:24:32.3372476Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:24:32.3372697Z  sudo git clean -ffdx 2025-08-14T21:24:32.3372906Z  else 2025-08-14T21:24:32.3373089Z  git clean -ffdx 2025-08-14T21:24:32.3373275Z  fi 2025-08-14T21:24:32.3373443Z fi 2025-08-14T21:24:32.3378484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:32.3378874Z env: 2025-08-14T21:24:32.3379049Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:32.3379245Z NO_SUDO: true 2025-08-14T21:24:32.3379413Z ##[endgroup] 2025-08-14T21:24:32.3493023Z ##[group]Run actions/checkout@v4 2025-08-14T21:24:32.3493315Z with: 2025-08-14T21:24:32.3493550Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:32.3493832Z fetch-depth: 0 2025-08-14T21:24:32.3494043Z submodules: recursive 2025-08-14T21:24:32.3494275Z show-progress: false 2025-08-14T21:24:32.3494512Z repository: pytorch/pytorch 2025-08-14T21:24:32.3494875Z token: *** 2025-08-14T21:24:32.3495068Z ssh-strict: true 2025-08-14T21:24:32.3495274Z ssh-user: git 2025-08-14T21:24:32.3495489Z persist-credentials: true 2025-08-14T21:24:32.3495715Z clean: true 2025-08-14T21:24:32.3495936Z sparse-checkout-cone-mode: true 2025-08-14T21:24:32.3496195Z fetch-tags: false 2025-08-14T21:24:32.3496391Z lfs: false 2025-08-14T21:24:32.3496596Z set-safe-directory: true 2025-08-14T21:24:32.3496844Z env: 2025-08-14T21:24:32.3497043Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:32.3497267Z ##[endgroup] 2025-08-14T21:24:32.4523360Z Syncing repository: pytorch/pytorch 2025-08-14T21:24:32.4525033Z ##[group]Getting Git version info 2025-08-14T21:24:32.4525600Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:24:32.4526378Z [command]/usr/bin/git version 2025-08-14T21:24:32.4526709Z git version 2.47.1 2025-08-14T21:24:32.4527808Z ##[endgroup] 2025-08-14T21:24:32.4532818Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/f25a0e8f-5e81-429e-98da-9e6f74daae73/.gitconfig' 2025-08-14T21:24:32.4548983Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f25a0e8f-5e81-429e-98da-9e6f74daae73' before making global git config changes 2025-08-14T21:24:32.4550374Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:24:32.4553147Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:24:32.4589824Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:24:32.4592865Z ##[group]Initializing the repository 2025-08-14T21:24:32.4597581Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:24:32.4625182Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:24:32.4625638Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:24:32.4626051Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:24:32.4626345Z hint: 2025-08-14T21:24:32.4626583Z hint: git config --global init.defaultBranch 2025-08-14T21:24:32.4626833Z hint: 2025-08-14T21:24:32.4627080Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:24:32.4627501Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:24:32.4627798Z hint: 2025-08-14T21:24:32.4627975Z hint: git branch -m 2025-08-14T21:24:32.4628363Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:24:32.4638663Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:24:32.4669789Z ##[endgroup] 2025-08-14T21:24:32.4670180Z ##[group]Disabling automatic garbage collection 2025-08-14T21:24:32.4672703Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:24:32.4700106Z ##[endgroup] 2025-08-14T21:24:32.4700520Z ##[group]Setting up auth 2025-08-14T21:24:32.4705651Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:24:32.4732833Z [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' || :" 2025-08-14T21:24:32.5050283Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:24:32.5079978Z [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' || :" 2025-08-14T21:24:32.5385892Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:24:32.5431998Z ##[endgroup] 2025-08-14T21:24:32.5432461Z ##[group]Fetching the repository 2025-08-14T21:24:32.5439360Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:25:18.5651247Z From https://github.com/pytorch/pytorch 2025-08-14T21:25:18.5651723Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:25:18.5652229Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:25:18.5652666Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:25:18.5653126Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:25:18.5653601Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:25:18.5654051Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:25:18.5654446Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:25:18.5654827Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:25:18.5655200Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:25:18.5655552Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:25:18.5656275Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:25:18.5656761Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:25:18.5657295Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:25:18.5657678Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:25:18.5658465Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:25:18.5660179Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:25:18.5660611Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:25:18.5665099Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:25:18.5665572Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:25:18.5666038Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:25:18.5666449Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:25:18.5666873Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:25:18.5667223Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:25:18.5667761Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:25:18.5668161Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:25:18.5668562Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:25:18.5671313Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:25:18.5671671Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:25:18.5672175Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:25:18.5672852Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:25:18.5673248Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:25:18.5673563Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:25:18.5674039Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:25:18.5674800Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:25:18.5675538Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:25:18.5676307Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:25:18.5676965Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:25:18.5677993Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:25:18.5678760Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:25:18.5679987Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:25:18.5680374Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:25:18.5681494Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:25:18.5681852Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:25:18.5682826Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:25:18.5683394Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:25:18.5684379Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:25:18.5684961Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:25:18.5685691Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:25:18.5686413Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:25:18.5688502Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:25:18.5689262Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:25:18.5689634Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-14T21:25:18.5690038Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 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2025-08-14T21:25:18.9477310Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-08-14T21:25:18.9477657Z * [new branch] zainr/uv-pip-fix -> origin/zainr/uv-pip-fix 2025-08-14T21:25:18.9477993Z * [new branch] zainr/vs-aarch64 -> origin/zainr/vs-aarch64 2025-08-14T21:25:18.9481032Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-08-14T21:25:18.9481368Z * [new branch] zb2p -> origin/zb2p 2025-08-14T21:25:18.9481957Z * [new branch] zdevito-patch-1 -> origin/zdevito-patch-1 2025-08-14T21:25:18.9482382Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-08-14T21:25:18.9482768Z * [new branch] zhxchen17/nativert/0 -> origin/zhxchen17/nativert/0 2025-08-14T21:25:18.9483133Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-14T21:25:18.9485461Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-14T21:25:18.9485826Z * [new branch] zxiiro/bazel -> origin/zxiiro/bazel 2025-08-14T21:25:18.9486322Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:25:18.9486664Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:25:18.9486991Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:25:18.9487503Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:25:18.9489544Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:25:18.9489864Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:25:18.9490184Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:25:18.9490511Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:25:18.9490849Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:25:18.9491160Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:25:18.9491485Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:25:18.9491809Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:25:18.9493698Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:25:18.9494012Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:25:18.9494335Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:25:18.9494648Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:25:18.9494974Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:25:18.9495284Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:25:18.9495709Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:25:18.9496104Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:25:18.9496481Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:25:18.9496856Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:25:18.9497217Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:25:18.9497568Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:25:18.9497907Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:25:18.9498254Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:25:18.9498608Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:25:18.9498980Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:25:18.9499330Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:25:18.9499670Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:25:18.9500183Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:25:18.9500521Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:25:18.9500850Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:25:18.9501185Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:25:18.9504048Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:25:18.9504500Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:25:18.9504956Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:25:18.9505253Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:25:18.9505707Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:25:18.9506274Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:25:18.9506845Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:25:18.9507353Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:25:18.9508958Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:25:18.9509919Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:25:18.9510486Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:25:18.9510847Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:25:18.9511189Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:25:18.9511523Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:25:18.9511842Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:25:18.9512141Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:25:18.9512480Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:25:18.9512789Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:25:18.9513267Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:25:18.9513565Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:25:18.9513883Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:25:18.9514193Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:25:18.9514501Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:25:18.9514801Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:25:18.9515106Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:25:18.9518275Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:25:18.9518628Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:25:18.9518975Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:25:18.9519286Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:25:18.9519598Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:25:18.9519909Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:25:18.9520216Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:25:18.9520343Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:25:18.9520462Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:25:18.9520581Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:25:18.9520712Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:25:18.9525382Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:25:18.9525529Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:25:18.9526204Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:25:18.9526364Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:25:18.9526490Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:25:18.9526619Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:25:18.9526739Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:25:18.9526869Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:25:18.9526991Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:25:18.9527153Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:25:18.9527306Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:25:18.9527423Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:25:18.9527551Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:25:18.9527679Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:25:18.9527802Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:25:18.9527932Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:25:18.9529544Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:25:18.9529861Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:25:18.9530219Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:25:18.9530488Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:25:18.9530604Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:25:18.9530730Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:25:18.9530851Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:25:18.9530978Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:25:18.9531097Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:25:18.9534827Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:25:18.9534999Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:25:18.9535137Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:25:18.9535282Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:25:18.9535497Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:25:18.9535622Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:25:18.9535765Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:25:18.9535891Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:25:18.9536023Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:25:18.9536144Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:25:18.9536267Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:25:18.9536467Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:25:18.9536605Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:25:18.9536739Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:25:18.9536882Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:25:18.9537013Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:25:18.9537315Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:25:18.9537858Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:25:18.9538813Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:25:18.9539016Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:25:18.9540562Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:25:18.9540791Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:25:18.9540912Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:25:18.9541057Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:25:18.9541193Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:25:18.9548241Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:25:18.9548416Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:25:18.9548547Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:25:18.9548685Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:25:18.9548811Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:25:18.9548963Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:25:18.9549254Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:25:18.9549380Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:25:18.9549515Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:25:18.9549641Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:25:18.9549768Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:25:18.9554616Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:25:18.9555061Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:25:18.9555200Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:25:18.9555395Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:25:18.9555558Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:25:18.9555701Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:25:18.9555828Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:25:18.9556050Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:25:18.9556238Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:25:18.9556396Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:25:18.9556518Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:25:18.9556744Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:25:18.9557106Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:25:18.9557371Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:25:18.9557568Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:25:18.9557752Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:25:18.9557901Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:25:18.9558021Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:25:18.9558149Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:25:18.9558753Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:25:18.9558911Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:25:18.9559101Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:25:18.9559264Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:25:18.9559988Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:25:18.9560148Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:25:18.9560278Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:25:18.9560410Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:25:18.9560727Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:25:18.9560856Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:25:18.9560995Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:25:18.9561121Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:25:18.9561292Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:25:18.9561420Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:25:18.9565166Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:25:18.9565598Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:25:18.9565744Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:25:18.9565877Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:25:18.9566000Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:25:18.9566124Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:25:18.9566285Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:25:18.9566432Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:25:18.9566561Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:25:18.9566679Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:25:18.9566797Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:25:18.9570363Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:25:18.9570503Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:25:18.9570643Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:25:18.9570780Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:25:18.9571052Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:25:18.9571297Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:25:18.9571507Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:25:18.9571635Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:25:18.9571755Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:25:18.9571879Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:25:18.9572124Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:25:18.9572304Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:25:18.9572429Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:25:18.9572548Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:25:18.9572688Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:25:18.9573007Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:25:18.9573691Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:25:18.9574395Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:25:18.9574617Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:25:18.9574965Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:25:18.9576108Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:25:18.9576320Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:25:18.9577286Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:25:18.9577540Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:25:18.9578059Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:25:18.9578409Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:25:18.9579016Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:25:18.9579423Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:25:18.9580822Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:25:18.9580968Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:25:18.9581115Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:25:18.9581602Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:25:18.9584027Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:25:18.9584196Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:25:18.9584334Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:25:18.9584457Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:25:18.9584903Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:25:18.9585032Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:25:18.9585250Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:25:18.9585383Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:25:18.9589557Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:25:18.9589959Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:25:18.9590251Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:25:18.9590424Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:25:18.9590548Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:25:18.9590811Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:25:18.9590957Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:25:18.9595660Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:25:18.9595824Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:25:18.9595970Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:25:18.9596112Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:25:18.9596254Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:25:18.9596378Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:25:18.9596500Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:25:18.9596626Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:25:18.9596744Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:25:18.9596868Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:25:18.9598530Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:25:18.9598679Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:25:18.9598825Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:25:18.9599085Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:25:18.9599215Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:25:18.9599336Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:25:18.9599456Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:25:18.9599583Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:25:18.9599702Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:25:18.9599831Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:25:18.9599954Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:25:18.9602116Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:25:18.9602263Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:25:18.9602383Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:25:18.9602511Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:25:18.9602633Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:25:18.9602756Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:25:18.9602886Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:25:18.9608640Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:25:18.9613176Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:25:18.9613701Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:25:18.9613933Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:25:18.9614076Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:25:18.9614203Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:25:18.9614342Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:25:18.9614491Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:25:18.9614616Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:25:18.9614763Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:25:18.9614908Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:25:18.9615041Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:25:18.9615187Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:25:18.9615320Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:25:18.9615451Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:25:18.9615580Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:25:18.9615694Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:25:18.9615809Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:25:18.9615916Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:25:18.9616047Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:25:18.9616177Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:25:18.9616327Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:25:18.9616571Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:25:18.9616740Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:25:18.9616919Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:25:18.9617066Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:25:18.9617193Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:25:18.9617327Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:25:18.9617466Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:25:18.9617606Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:25:18.9617741Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:25:18.9617879Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:25:18.9618013Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:25:18.9618163Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:25:18.9618492Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:25:18.9618640Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:25:18.9619801Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:25:18.9620870Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:25:18.9621410Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:25:18.9624881Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:25:18.9625402Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:25:18.9625857Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:25:18.9626564Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:25:18.9626962Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:25:18.9627157Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:25:18.9627353Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:25:18.9627883Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:25:18.9628179Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:25:18.9628357Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:25:18.9628602Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:25:18.9628759Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:25:18.9628894Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:25:18.9634084Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:25:18.9634408Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:25:18.9634599Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:25:18.9634945Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:25:18.9635078Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:25:18.9635205Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:25:18.9635321Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:25:18.9635590Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:25:18.9635775Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:25:18.9635913Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:25:18.9636047Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:25:18.9636168Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:25:18.9636685Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:25:18.9636832Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:25:18.9636958Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:25:18.9637071Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:25:18.9637191Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:25:18.9643933Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:25:18.9648878Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:25:18.9653556Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:25:18.9653917Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:25:18.9654060Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:25:18.9654185Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:25:18.9654325Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:25:18.9654440Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:25:18.9654569Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:25:18.9654696Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:25:18.9654825Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:25:18.9654951Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:25:18.9655078Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:25:18.9655406Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:25:18.9655535Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:25:18.9655658Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:25:18.9655782Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:25:18.9655906Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:25:18.9656024Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:25:18.9656362Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:25:18.9656488Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:25:18.9656667Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:25:18.9656810Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:25:18.9656938Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:25:18.9657061Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:25:18.9657180Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:25:18.9657303Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:25:18.9657423Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:25:18.9657538Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:25:18.9657662Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:25:18.9657787Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:25:18.9657917Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:25:18.9658035Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:25:18.9658154Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:25:18.9658286Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:25:18.9658406Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:25:18.9658527Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:25:18.9658647Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:25:18.9658784Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:25:18.9658971Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:25:18.9659101Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:25:18.9659221Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:25:18.9659353Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:25:18.9659498Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:25:18.9659628Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:25:18.9660282Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:25:18.9660430Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:25:18.9660556Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:25:18.9660698Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:25:18.9660831Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:25:18.9660964Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:25:18.9661273Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:25:18.9661759Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:25:18.9661899Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:25:18.9662028Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:25:18.9662178Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:25:18.9662446Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:25:18.9664958Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:25:18.9665532Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:25:18.9665811Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:25:18.9665930Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:25:18.9666060Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:25:18.9666177Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:25:18.9666292Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:25:18.9666676Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:25:18.9667156Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:25:18.9668535Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:25:18.9668885Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:25:18.9669023Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:25:18.9669141Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:25:18.9669713Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:25:18.9669928Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:25:18.9671777Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:25:18.9672085Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:25:18.9672398Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:25:18.9678521Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:25:18.9679035Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:25:18.9679345Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:25:18.9679482Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:25:18.9679609Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:25:18.9679730Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:25:18.9679855Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:25:18.9680007Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:25:18.9680130Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:25:18.9680248Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:25:18.9680367Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:25:18.9680491Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:25:18.9680628Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:25:18.9680747Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:25:18.9680867Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:25:18.9680984Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:25:18.9681103Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:25:18.9681227Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:25:18.9681346Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:25:18.9681460Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:25:18.9681791Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:25:18.9683065Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:25:18.9683224Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:25:18.9683419Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:25:18.9683893Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:25:18.9685282Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:25:18.9685487Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:25:18.9685613Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:25:18.9686149Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:25:18.9686682Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:25:18.9689138Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:25:18.9689310Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:25:18.9689433Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:25:18.9689573Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:25:18.9689696Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:25:18.9690749Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:25:18.9691017Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:25:18.9691459Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:25:18.9691900Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:25:18.9695889Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:25:18.9696088Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:25:18.9696232Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:25:18.9696361Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:25:18.9696496Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:25:18.9696623Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:25:18.9696750Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:25:18.9696898Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:25:18.9697032Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:25:18.9697174Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:25:18.9697683Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:25:18.9698814Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:25:18.9699226Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:25:18.9699673Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:25:18.9700513Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:25:18.9700635Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:25:18.9701128Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:25:18.9701651Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:25:18.9702078Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:25:18.9702553Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:25:18.9703970Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:25:18.9704273Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:25:18.9704406Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:25:18.9704629Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:25:18.9705660Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:25:18.9706282Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:25:18.9706434Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:25:18.9709521Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:25:18.9709918Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:25:18.9710050Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:25:18.9710169Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:25:18.9710281Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:25:18.9710397Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:25:18.9710507Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:25:18.9710616Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:25:18.9713737Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:25:18.9713861Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:25:18.9714079Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:25:18.9715155Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:25:18.9715464Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:25:18.9719808Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:25:18.9720122Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:25:18.9720236Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:25:18.9720336Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:25:18.9720452Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:25:18.9720545Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:25:18.9720640Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:25:18.9720757Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:25:18.9720867Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:25:18.9720973Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:25:18.9721078Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:25:18.9721173Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:25:18.9724059Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:25:18.9724410Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:25:18.9724618Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:25:18.9724733Z * [new tag] flight_5 -> flight_5 2025-08-14T21:25:18.9724850Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:25:18.9724950Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:25:18.9725059Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:25:18.9729211Z * [new tag] forpull1 -> forpull1 2025-08-14T21:25:18.9729412Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:25:18.9729604Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:25:18.9729720Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:25:18.9729853Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:25:18.9730115Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:25:18.9730265Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:25:18.9730560Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:25:18.9733869Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:25:18.9734148Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:25:18.9734387Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:25:18.9736957Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:25:18.9737226Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:25:18.9737480Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:25:18.9738051Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:25:18.9738602Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:25:18.9738910Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:25:18.9739174Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:25:18.9739450Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:25:18.9739708Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:25:18.9740264Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:25:18.9740534Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:25:18.9740789Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:25:18.9741045Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:25:18.9741298Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:25:18.9741773Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:25:18.9742059Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:25:18.9742594Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:25:18.9743185Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:25:18.9743904Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:25:18.9744427Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:25:18.9745048Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:25:18.9745616Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:25:18.9750607Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:25:18.9750881Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:25:18.9751173Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:25:18.9751426Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:25:18.9751673Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:25:18.9751920Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:25:18.9752180Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:25:18.9752437Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:25:18.9752677Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:25:18.9753085Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:25:18.9756789Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:25:18.9757208Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:25:18.9757486Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:25:18.9757872Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:25:18.9758146Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:25:18.9758742Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:25:18.9758987Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:25:18.9759214Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:18.9759475Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:25:18.9759758Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:25:18.9760004Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:25:18.9760231Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:25:18.9760463Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:25:18.9760879Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:25:18.9761104Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:25:18.9766871Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:25:18.9767183Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:25:18.9767451Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:25:18.9767856Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:25:18.9768189Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:25:18.9768891Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:25:18.9769313Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:25:18.9769691Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:25:18.9770067Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:25:18.9770791Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:25:18.9771373Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:25:18.9771726Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:25:18.9774404Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:25:18.9774680Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:25:18.9774929Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:25:18.9775177Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:25:18.9775441Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:25:18.9775720Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:25:18.9775977Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:25:18.9776218Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:25:18.9776460Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:25:18.9776689Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:25:18.9776923Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:25:18.9777175Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:25:18.9777567Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:25:18.9778018Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:25:18.9778265Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:25:18.9778511Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:25:18.9779108Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:25:18.9780119Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:25:18.9780468Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:25:18.9786273Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:25:18.9786764Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:25:18.9787186Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:25:18.9787586Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:25:18.9787857Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:25:18.9788349Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:25:18.9788623Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:25:18.9788906Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:25:18.9789157Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:25:18.9789425Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:25:18.9789678Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:25:18.9789919Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:25:18.9790169Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:25:18.9790413Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:25:18.9790674Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:25:18.9790909Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:25:18.9791186Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:25:18.9791434Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:25:18.9791752Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:25:18.9797209Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:25:18.9801087Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:25:18.9801526Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:25:18.9801819Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:25:18.9802231Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:25:18.9802873Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:25:18.9803169Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:25:18.9803527Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:25:18.9803865Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:25:18.9804179Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:25:18.9804536Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:25:18.9805176Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:25:18.9805473Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:25:18.9805879Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:25:18.9806160Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:25:18.9806414Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:25:18.9806658Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:25:18.9806890Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:25:18.9807125Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:25:18.9807369Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:25:18.9807608Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:25:18.9807843Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:25:18.9808076Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:25:18.9808306Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:25:18.9808557Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:25:18.9808795Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:25:18.9809241Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:25:18.9809545Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:25:18.9809852Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:25:18.9810104Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:25:18.9810339Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:25:18.9810586Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:25:18.9812444Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:25:18.9812787Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:25:18.9813072Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:25:18.9813355Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:25:18.9813608Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:25:18.9813926Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:25:18.9814181Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:25:18.9814602Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:25:18.9814879Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:25:18.9815146Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:25:18.9815409Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:25:18.9815659Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:25:18.9815936Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:25:18.9816195Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:25:18.9816451Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:25:18.9816978Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:25:18.9817239Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:25:18.9817916Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:25:18.9818644Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:25:18.9819206Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:25:18.9820250Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:25:18.9820882Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:25:18.9821376Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:25:18.9822011Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:25:18.9825795Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:25:18.9826229Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:25:18.9826532Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:25:18.9826801Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:25:18.9827181Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:25:18.9827429Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:25:18.9827761Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:25:18.9828014Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:25:18.9828378Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:25:18.9828647Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:25:18.9829047Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:25:18.9829301Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:25:18.9829613Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:25:18.9830404Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:25:18.9839274Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:25:18.9839723Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:25:18.9840012Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:25:18.9840288Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:25:18.9840987Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:25:18.9841305Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:25:18.9841665Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:25:18.9842013Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:25:18.9842295Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:25:18.9842705Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:25:18.9843329Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:25:18.9843602Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:25:18.9843952Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:25:18.9844272Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:25:18.9844833Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:25:18.9845526Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:25:18.9846212Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:25:18.9846748Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:25:18.9852984Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:25:18.9854968Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:25:18.9855235Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:25:18.9855491Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:25:18.9855956Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:25:18.9856221Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:25:18.9856480Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:25:18.9856735Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:25:18.9856995Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:25:18.9857243Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:25:18.9857501Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:25:18.9857759Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:25:18.9858009Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:25:18.9858264Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:25:18.9858524Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:25:18.9858761Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:25:18.9859011Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:25:18.9859262Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:25:18.9859588Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:25:18.9865055Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:25:18.9865347Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:25:18.9865586Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:25:18.9865841Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:25:18.9866130Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:25:18.9871963Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:25:18.9875485Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:25:18.9875931Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:25:18.9876327Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:25:18.9876723Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:25:18.9877097Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:25:18.9877942Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:25:18.9878258Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:25:18.9878516Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:25:18.9878758Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:25:18.9879000Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:25:18.9879240Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:25:18.9879494Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:25:18.9879747Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:25:18.9879994Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:25:18.9880227Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:25:18.9880483Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:25:18.9880730Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:25:18.9880988Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:25:18.9881233Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:25:18.9881488Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:25:18.9881806Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:25:18.9882055Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:25:18.9882311Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:25:18.9882566Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:25:18.9882828Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:25:18.9883083Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:25:18.9883331Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:25:18.9883573Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:25:18.9883825Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:25:18.9884080Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:25:18.9884332Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:25:18.9886024Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:25:18.9886370Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:25:18.9886632Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:25:18.9886889Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:25:18.9887142Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:25:18.9887398Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:25:18.9887633Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:25:18.9892815Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:25:18.9893155Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:25:18.9893414Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:25:18.9893675Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:25:18.9893932Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:25:18.9894185Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:25:18.9894434Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:25:18.9894685Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:25:18.9895098Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:25:18.9895368Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:25:18.9895632Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:25:18.9895872Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:25:18.9896137Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:25:18.9896399Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:25:18.9896652Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:25:18.9896904Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:25:18.9897146Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:25:18.9897447Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:25:18.9897711Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:25:18.9897949Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:25:18.9898594Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:25:18.9898852Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:25:18.9899613Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:25:18.9900596Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:25:18.9900985Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:25:18.9901526Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:25:18.9904846Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:25:18.9905318Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:25:18.9905715Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:25:18.9906014Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:25:18.9906694Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:25:18.9906997Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:25:18.9907256Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:25:18.9907663Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:25:18.9907938Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:25:18.9908479Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:25:18.9908754Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:25:18.9913009Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:25:18.9913498Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:25:18.9913896Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:25:18.9914269Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:25:18.9914535Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:25:18.9914801Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:25:18.9914921Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:25:18.9915030Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:25:18.9915134Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:25:18.9915501Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:25:18.9916636Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:25:18.9916773Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:25:18.9917283Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:25:18.9917652Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:25:18.9920368Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:25:18.9920654Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:25:18.9920877Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:25:18.9920983Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:25:18.9921075Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:25:18.9921297Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:25:18.9921476Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:25:18.9923459Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:25:18.9923737Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:25:18.9923977Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:25:18.9924118Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:25:18.9924357Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:25:18.9925806Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:25:18.9926069Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:25:18.9926232Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:25:18.9926447Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:25:18.9930882Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:25:18.9931078Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:25:18.9931203Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:25:18.9931329Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:25:18.9931638Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:25:18.9931742Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:25:18.9931982Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:25:18.9932166Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:25:18.9932314Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:25:18.9932425Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:25:18.9935824Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:25:18.9935966Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:25:18.9936071Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:25:18.9936176Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:25:18.9936292Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:25:18.9936401Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:25:18.9936874Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:25:18.9937337Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:25:18.9938300Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:25:18.9938500Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:25:18.9939662Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:25:18.9940215Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:25:18.9940669Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:25:18.9941098Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:25:18.9941664Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:25:18.9942097Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:25:18.9944935Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:25:18.9945071Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:25:18.9945180Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:25:18.9945279Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:25:18.9945382Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:25:18.9950628Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:25:18.9951174Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:25:18.9951308Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:25:18.9951431Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:25:18.9951548Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:25:18.9951646Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:25:18.9951749Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:25:18.9951854Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:25:18.9951958Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:25:18.9952072Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:25:18.9952210Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:25:18.9952636Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:25:18.9955877Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:25:18.9956030Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:25:18.9956316Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:25:18.9956426Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:25:18.9956536Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:25:18.9956634Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:25:18.9957586Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:25:18.9957792Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:25:18.9957897Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:25:18.9958362Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:25:18.9958725Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:25:18.9959705Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:25:18.9959834Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:25:18.9960333Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:25:18.9962937Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:25:18.9963075Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:25:18.9963190Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:25:18.9963290Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:25:18.9963405Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:25:18.9965614Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:25:18.9965749Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:25:18.9965863Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:25:18.9966163Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:25:18.9966354Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:25:18.9966977Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:25:18.9967441Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:25:18.9967927Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:25:18.9969048Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:25:18.9970205Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:25:18.9970419Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:25:18.9970587Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:25:18.9970696Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:25:18.9971780Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:25:18.9972039Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:25:18.9972551Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:25:18.9972884Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:25:18.9973407Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:25:18.9974326Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:25:18.9974463Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:25:18.9974967Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:25:18.9976153Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:25:18.9976650Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:25:18.9977083Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:25:18.9978089Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:25:18.9978340Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:25:18.9979358Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:25:18.9979584Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:25:18.9980309Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:25:18.9981292Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:25:18.9984246Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:25:18.9984439Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:25:18.9984558Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:25:18.9984657Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:25:18.9984774Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:25:18.9984886Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:25:18.9984983Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:25:18.9992658Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:25:18.9994735Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:25:18.9994894Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:25:18.9994999Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:25:18.9995095Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:25:18.9995333Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:25:18.9995487Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:25:18.9995606Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:25:18.9995887Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:25:18.9996119Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:25:18.9996238Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:25:18.9996366Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:25:18.9996483Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:25:18.9996608Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:25:18.9996719Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:25:18.9996861Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:25:18.9996963Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:25:18.9997092Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:25:18.9997199Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:25:18.9997355Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:25:18.9997454Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:25:18.9997555Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:25:18.9997665Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:25:18.9998252Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:25:18.9998690Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:25:19.0000050Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:25:19.0000276Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:25:19.0000388Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:25:19.0002693Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:25:19.0003171Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:25:19.0003308Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:25:19.0003407Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:25:19.0003656Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:25:19.0003787Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:25:19.0004215Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:25:19.0004916Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:25:19.0005405Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:25:19.0005730Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:25:19.0006344Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:25:19.0006710Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:25:19.0007082Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:25:19.0008339Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:25:19.0008445Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:25:19.0009009Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:25:19.0010273Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:25:19.0010393Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:25:19.0010719Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:25:19.0011614Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:25:19.0011891Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:25:19.0012970Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:25:19.0013081Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:25:19.0013555Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:25:19.0014412Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:25:19.0014636Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:25:19.0015164Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:25:19.0016030Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:25:19.0016256Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:25:19.0017252Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:25:19.0017607Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:25:19.0018603Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:25:19.0018869Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:25:19.0020145Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:25:19.0020370Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:25:19.0021499Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:25:19.0021801Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:25:19.0022787Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:25:19.0023749Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:25:19.0024166Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:25:19.0024660Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:25:19.0025701Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:25:19.0026052Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:25:19.0027132Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:25:19.0027347Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:25:19.0028219Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:25:19.0028351Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:25:19.0029489Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:25:19.0029702Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:25:19.0030593Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:25:19.0031309Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:25:19.0032513Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:25:19.0032716Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:25:19.0033029Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:25:19.0039895Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:25:19.0040033Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:25:19.0040151Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:25:19.0040250Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:25:19.0040354Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:25:19.0040465Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:25:19.0040566Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:25:19.0040668Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:25:19.0041003Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:25:19.0041466Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:25:19.0041567Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:25:19.0041661Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:25:19.0041755Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:25:19.0041858Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:25:19.0042056Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:25:19.0042191Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:25:19.0047973Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:25:19.0048108Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:25:19.0048382Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:25:19.0048500Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:25:19.0048605Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:25:19.0048713Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:25:19.0048822Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:25:19.0052946Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:25:19.0053090Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:25:19.0053503Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:25:19.0053627Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:25:19.0053739Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:25:19.0053853Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:25:19.0054188Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:25:19.0054300Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:25:19.0054410Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:25:19.0054520Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:25:19.0054619Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:25:19.0054727Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:25:19.0054824Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:25:19.0054920Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:25:19.0055713Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:25:19.0056219Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:25:19.0056384Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:25:19.0056523Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:25:19.0056951Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:25:19.0544399Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:25:19.0569861Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:19.0572889Z ##[endgroup] 2025-08-14T21:25:19.0573132Z ##[group]Determining the checkout info 2025-08-14T21:25:19.0573473Z ##[endgroup] 2025-08-14T21:25:19.0578633Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:25:19.0627685Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:25:19.0683910Z ##[group]Checking out the ref 2025-08-14T21:25:19.0689680Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:20.1130585Z Updating files: 98% (19086/19474) 2025-08-14T21:25:20.1259523Z Updating files: 99% (19280/19474) 2025-08-14T21:25:20.1260161Z Updating files: 100% (19474/19474) 2025-08-14T21:25:20.1260393Z Updating files: 100% (19474/19474), done. 2025-08-14T21:25:20.1499321Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:25:20.1499661Z 2025-08-14T21:25:20.1500250Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:25:20.1500698Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:25:20.1501079Z state without impacting any branches by switching back to a branch. 2025-08-14T21:25:20.1501309Z 2025-08-14T21:25:20.1501460Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:25:20.1501816Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:25:20.1502025Z 2025-08-14T21:25:20.1502116Z git switch -c 2025-08-14T21:25:20.1502265Z 2025-08-14T21:25:20.1502378Z Or undo this operation with: 2025-08-14T21:25:20.1502516Z 2025-08-14T21:25:20.1502594Z git switch - 2025-08-14T21:25:20.1502692Z 2025-08-14T21:25:20.1502868Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:25:20.1503129Z 2025-08-14T21:25:20.1503405Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:25:20.1553190Z ##[endgroup] 2025-08-14T21:25:20.1553559Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:25:20.1560262Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:25:20.1622724Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:25:20.1651856Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:25:20.1678364Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:25:20.1704514Z ##[endgroup] 2025-08-14T21:25:20.1705063Z ##[group]Fetching submodules 2025-08-14T21:25:20.1710387Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:25:20.2109329Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:25:20.2439019Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:25:20.2440277Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:25:20.2440901Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:25:20.2441489Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:25:20.2738444Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:25:20.2740178Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:20.2744623Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:25:20.2745134Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:25:20.2751383Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:25:20.2752136Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:25:20.2752959Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:25:20.2753925Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:25:20.2769464Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:25:20.2774602Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:25:20.2775237Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:25:20.2775890Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:25:20.2778738Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:25:20.2784901Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:25:20.2785561Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:20.2786175Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:25:20.2791984Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:25:20.2796133Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:25:20.2803875Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:25:20.2806329Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:25:20.2810034Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:25:20.2812404Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:25:20.2816090Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:25:20.2818465Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:25:20.2822108Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:25:20.2825264Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:25:20.2829332Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:25:20.2836505Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:25:20.2853319Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:25:20.2854410Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:25:20.2858979Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:25:20.2866252Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:25:20.2869461Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:25:20.2896910Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:25:20.5280095Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:25:20.5280853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:25:20.5281330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:25:20.5283497Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:25:20.7411363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:25:20.7412217Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:25:20.7412909Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:25:20.7413563Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:25:20.7414706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:25:20.7569037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:25:20.8399222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:25:20.8399777Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:25:20.8400239Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:25:20.8400700Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:25:20.9401519Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:25:20.9806012Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:25:20.9806560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:25:21.0024933Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:25:22.1721192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:25:22.1722062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:25:22.1722534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:25:22.1722995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:25:22.1723452Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:25:22.1723923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:25:22.1724376Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:25:22.1724818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:25:22.1877755Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:25:34.1985393Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:25:34.1985928Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:25:34.1986363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:25:34.1986796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:25:34.1987258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:25:34.1987699Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:25:34.1988117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:25:34.1988579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:25:34.1989344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:25:34.2124874Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:25:34.2246918Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:25:34.2339110Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:25:34.2563263Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:25:34.3290018Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:25:34.3734279Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:25:34.9485684Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:25:35.0814128Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:25:35.0829719Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:35.0859449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:25:38.4742122Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:25:38.4956509Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:25:38.7511034Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:25:38.7976984Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:25:38.8889055Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:25:38.9299641Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:25:39.4722250Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:25:39.5893524Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:25:39.5914215Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:39.5915174Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:39.5916143Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:39.5916809Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:39.5917469Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:39.5918208Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:39.5926605Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:25:39.5955306Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:25:40.8362804Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:25:40.8363420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:25:40.8364227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:25:40.8364808Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:25:40.9368606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:25:41.9585613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:25:46.0701229Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:25:46.2801779Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:25:46.3738264Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:25:46.9148895Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:25:46.9572218Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:25:46.9686831Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:25:47.0619003Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:25:47.1213661Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:25:47.1230387Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:47.1231137Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:47.1259607Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:25:50.3870094Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:25:50.5817454Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:25:51.0823343Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:25:51.1980826Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:25:51.2288844Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:25:51.2648112Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:25:51.2874707Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:25:51.3291301Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:25:51.3417538Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:25:51.3432814Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:51.3459078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:26:02.9116973Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:26:02.9310703Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:26:03.0215588Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:26:03.0237870Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:26:03.0239221Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:26:03.0240169Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:26:03.0271888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:26:03.7209786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:26:04.2958691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:26:04.3704355Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:26:04.3722367Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:26:04.3723119Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:26:04.3723823Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:26:04.3724872Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:26:04.3729804Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:26:04.3730797Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:26:04.3731627Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:26:04.3736242Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:26:04.3762658Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:26:05.6686518Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:26:05.6687298Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:26:05.6688008Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:26:05.6688729Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:26:05.6689465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:26:05.6769108Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:26:05.7771425Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:26:12.7513204Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:26:12.7679075Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:26:12.8022649Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:26:12.8158794Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:26:12.8172628Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:26:12.8198381Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:26:13.1206229Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:26:13.1392219Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:26:13.1781916Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:26:13.2667533Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:26:13.2818672Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:26:13.3138324Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:26:13.3696359Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:26:13.4096432Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:26:13.4459380Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:26:13.5481172Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:26:13.8551060Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:26:13.8586019Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:26:13.8616707Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:26:14.9163633Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:26:14.9734623Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:26:14.9755427Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:26:14.9761949Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:26:14.9762940Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:26:14.9763707Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:26:14.9764719Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:26:14.9765862Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:26:14.9767149Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:26:14.9767887Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:26:14.9794942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:26:15.4041093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:26:15.4041862Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:26:15.4042768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:26:15.4043444Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:26:15.5041855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:26:16.0369654Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:26:21.6201003Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:26:22.3139455Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:26:22.3523620Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:26:22.3692588Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:26:22.4676152Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:26:22.4810591Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:26:22.4957320Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:26:22.5103311Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:26:22.5120297Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:26:22.5122124Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:26:22.5153299Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:26:24.6006256Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:26:24.8403582Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:26:24.8824491Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:26:25.2764673Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:26:25.2877251Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:26:25.5274938Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:26:25.5297156Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:26:25.5298156Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:26:25.5325329Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:26:26.0226939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:26:26.4926796Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:26:26.5592749Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:26:26.5687236Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:26:26.5807237Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:26:26.6138751Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:26:26.6402234Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:26:26.6785677Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:26:26.7014138Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:26:26.7038427Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:26:26.7039162Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:26:26.7039850Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:26:26.7040831Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:26:26.7077579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:26:27.6908726Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:26:27.6909394Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:26:27.7910265Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:26:27.9540501Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:26:27.9685453Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:26:28.0351733Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:26:28.0617910Z 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 2025-08-14T21:26:29.6705815Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:26:29.6759225Z 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 2025-08-14T21:26:29.7874842Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-08-14T21:26:29.8200479Z Entering 'android/libs/fbjni' 2025-08-14T21:26:29.8245469Z Entering 'third_party/FP16' 2025-08-14T21:26:29.8281474Z Entering 'third_party/FXdiv' 2025-08-14T21:26:29.8321621Z Entering 'third_party/NNPACK' 2025-08-14T21:26:29.8366358Z Entering 'third_party/NVTX' 2025-08-14T21:26:29.8414129Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:26:29.8458731Z Entering 'third_party/XNNPACK' 2025-08-14T21:26:29.8510225Z Entering 'third_party/aiter' 2025-08-14T21:26:29.8556005Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:29.8603909Z Entering 'third_party/benchmark' 2025-08-14T21:26:29.8647219Z Entering 'third_party/composable_kernel' 2025-08-14T21:26:29.8697263Z Entering 'third_party/cpp-httplib' 2025-08-14T21:26:29.8738779Z Entering 'third_party/cpuinfo' 2025-08-14T21:26:29.8787744Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:26:29.8827219Z Entering 'third_party/cutlass' 2025-08-14T21:26:29.8880491Z Entering 'third_party/fbgemm' 2025-08-14T21:26:29.8921379Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:29.8964137Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:29.9004553Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:29.9049979Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:29.9096198Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:29.9138786Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:29.9177522Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:26:29.9218619Z Entering 'third_party/flash-attention' 2025-08-14T21:26:29.9264290Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:26:29.9310641Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:26:29.9368261Z Entering 'third_party/flatbuffers' 2025-08-14T21:26:29.9418269Z Entering 'third_party/fmt' 2025-08-14T21:26:29.9457871Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:29.9498261Z Entering 'third_party/gloo' 2025-08-14T21:26:29.9540572Z Entering 'third_party/googletest' 2025-08-14T21:26:29.9581090Z Entering 'third_party/ideep' 2025-08-14T21:26:29.9619964Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:26:29.9666603Z Entering 'third_party/ittapi' 2025-08-14T21:26:29.9706888Z Entering 'third_party/kineto' 2025-08-14T21:26:29.9758425Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:26:29.9790152Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:26:29.9829580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:26:29.9878223Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:26:29.9913872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:26:29.9951765Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:26:29.9995778Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:26:30.0044725Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:26:30.0087083Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:26:30.0127912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:26:30.0175918Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:26:30.0217237Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:26:30.0267188Z Entering 'third_party/kleidiai' 2025-08-14T21:26:30.0309915Z Entering 'third_party/mimalloc' 2025-08-14T21:26:30.0354334Z Entering 'third_party/nlohmann' 2025-08-14T21:26:30.0407328Z Entering 'third_party/onnx' 2025-08-14T21:26:30.0458368Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:26:30.0501586Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:26:30.0546413Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:26:30.0588166Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:26:30.0623936Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:26:30.0669538Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:26:30.0710870Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:26:30.0749744Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:26:30.0788283Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:26:30.0825820Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:26:30.0871371Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:26:30.0913656Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:26:30.0968382Z Entering 'third_party/pocketfft' 2025-08-14T21:26:30.1009515Z Entering 'third_party/protobuf' 2025-08-14T21:26:30.1056892Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:26:30.1093812Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:26:30.1139116Z Entering 'third_party/psimd' 2025-08-14T21:26:30.1181431Z Entering 'third_party/pthreadpool' 2025-08-14T21:26:30.1222539Z Entering 'third_party/pybind11' 2025-08-14T21:26:30.1261154Z Entering 'third_party/python-peachpy' 2025-08-14T21:26:30.1307338Z Entering 'third_party/sleef' 2025-08-14T21:26:30.1353088Z Entering 'third_party/tensorpipe' 2025-08-14T21:26:30.1396976Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:26:30.1436855Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:26:30.1482903Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:26:30.1520575Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:26:30.1563638Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:26:30.1625461Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:26:30.1941436Z Entering 'android/libs/fbjni' 2025-08-14T21:26:30.1983247Z Entering 'third_party/FP16' 2025-08-14T21:26:30.2027305Z Entering 'third_party/FXdiv' 2025-08-14T21:26:30.2071724Z Entering 'third_party/NNPACK' 2025-08-14T21:26:30.2112994Z Entering 'third_party/NVTX' 2025-08-14T21:26:30.2159648Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:26:30.2196465Z Entering 'third_party/XNNPACK' 2025-08-14T21:26:30.2250310Z Entering 'third_party/aiter' 2025-08-14T21:26:30.2294471Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:30.2346554Z Entering 'third_party/benchmark' 2025-08-14T21:26:30.2388631Z Entering 'third_party/composable_kernel' 2025-08-14T21:26:30.2440035Z Entering 'third_party/cpp-httplib' 2025-08-14T21:26:30.2479093Z Entering 'third_party/cpuinfo' 2025-08-14T21:26:30.2523170Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:26:30.2569972Z Entering 'third_party/cutlass' 2025-08-14T21:26:30.2615284Z Entering 'third_party/fbgemm' 2025-08-14T21:26:30.2687037Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:30.2726721Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:30.2774786Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:30.2815068Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:30.2866178Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:30.2905599Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:30.2945703Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:26:30.2996336Z Entering 'third_party/flash-attention' 2025-08-14T21:26:30.3034999Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:26:30.3079954Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:26:30.3129629Z Entering 'third_party/flatbuffers' 2025-08-14T21:26:30.3174769Z Entering 'third_party/fmt' 2025-08-14T21:26:30.3216243Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:30.3258819Z Entering 'third_party/gloo' 2025-08-14T21:26:30.3298477Z Entering 'third_party/googletest' 2025-08-14T21:26:30.3347249Z Entering 'third_party/ideep' 2025-08-14T21:26:30.3387656Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:26:30.3441149Z Entering 'third_party/ittapi' 2025-08-14T21:26:30.3481109Z Entering 'third_party/kineto' 2025-08-14T21:26:30.3524781Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:26:30.3568069Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:26:30.3606151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:26:30.3649744Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:26:30.3687839Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:26:30.3726039Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:26:30.3773602Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:26:30.3809960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:26:30.3851435Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:26:30.3893911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:26:30.3933948Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:26:30.3975893Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:26:30.4018982Z Entering 'third_party/kleidiai' 2025-08-14T21:26:30.4061589Z Entering 'third_party/mimalloc' 2025-08-14T21:26:30.4106606Z Entering 'third_party/nlohmann' 2025-08-14T21:26:30.4150079Z Entering 'third_party/onnx' 2025-08-14T21:26:30.4203717Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:26:30.4247802Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:26:30.4290125Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:26:30.4327973Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:26:30.4374074Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:26:30.4410144Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:26:30.4452007Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:26:30.4493213Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:26:30.4535909Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:26:30.4576263Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:26:30.4613377Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:26:30.4655377Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:26:30.4715164Z Entering 'third_party/pocketfft' 2025-08-14T21:26:30.4757142Z Entering 'third_party/protobuf' 2025-08-14T21:26:30.4799027Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:26:30.4842173Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:26:30.4883757Z Entering 'third_party/psimd' 2025-08-14T21:26:30.4926191Z Entering 'third_party/pthreadpool' 2025-08-14T21:26:30.4968920Z Entering 'third_party/pybind11' 2025-08-14T21:26:30.5010465Z Entering 'third_party/python-peachpy' 2025-08-14T21:26:30.5055509Z Entering 'third_party/sleef' 2025-08-14T21:26:30.5095395Z Entering 'third_party/tensorpipe' 2025-08-14T21:26:30.5135440Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:26:30.5176195Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:26:30.5214882Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:26:30.5254015Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:26:30.5296302Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:26:30.5361155Z ##[endgroup] 2025-08-14T21:26:30.5403349Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:26:30.5424576Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:30.5593271Z Prepare all required actions 2025-08-14T21:26:30.5593781Z Getting action download info 2025-08-14T21:26:30.6909141Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:26:30.6909397Z env: 2025-08-14T21:26:30.6909573Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.6909765Z ##[endgroup] 2025-08-14T21:26:30.6944344Z ##[group]Run set -euo pipefail 2025-08-14T21:26:30.6944607Z set -euo pipefail 2025-08-14T21:26:30.6944829Z function get_ec2_metadata() { 2025-08-14T21:26:30.6945085Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:26:30.6945501Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:26:30.6945870Z  category=$1 2025-08-14T21:26:30.6946126Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:26:30.6946410Z  runner_name_str=i-0119168a8260cce03 2025-08-14T21:26:30.6946700Z  if [[ -f /.inarc ]]; then 2025-08-14T21:26:30.6946931Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:26:30.6947189Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:26:30.6947494Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:26:30.6947762Z  else 2025-08-14T21:26:30.6948311Z  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}" 2025-08-14T21:26:30.6948862Z  fi 2025-08-14T21:26:30.6949032Z } 2025-08-14T21:26:30.6949210Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:26:30.6949491Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:26:30.6949798Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:26:30.6950056Z echo "system info $(uname -a)" 2025-08-14T21:26:30.6958904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:30.6959162Z env: 2025-08-14T21:26:30.6959328Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.6959507Z ##[endgroup] 2025-08-14T21:26:30.7140222Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:26:30.7247962Z instance-id: i-0119168a8260cce03 2025-08-14T21:26:30.7336043Z instance-type: m7i-flex.8xlarge 2025-08-14T21:26:30.7350919Z system info Linux ip-10-0-41-45.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:26:30.7371223Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:30.7371845Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:30.7376977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:30.7377241Z env: 2025-08-14T21:26:30.7377407Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.7377596Z ##[endgroup] 2025-08-14T21:26:30.7425620Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:26:30.7425937Z if systemctl is-active --quiet docker; then 2025-08-14T21:26:30.7426193Z  echo "Docker daemon is running..."; 2025-08-14T21:26:30.7426416Z else 2025-08-14T21:26:30.7426660Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:26:30.7426929Z fi 2025-08-14T21:26:30.7431382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:30.7431647Z env: 2025-08-14T21:26:30.7431817Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.7432002Z ##[endgroup] 2025-08-14T21:26:30.7510022Z Docker daemon is running... 2025-08-14T21:26:30.7540557Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:26:30.7540787Z with: 2025-08-14T21:26:30.7540956Z shell: bash 2025-08-14T21:26:30.7541273Z timeout_minutes: 5 2025-08-14T21:26:30.7541462Z max_attempts: 3 2025-08-14T21:26:30.7541642Z retry_wait_seconds: 30 2025-08-14T21:26:30.7543115Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:26:30.7544518Z polling_interval_seconds: 1 2025-08-14T21:26:30.7544732Z warning_on_retry: true 2025-08-14T21:26:30.7544922Z continue_on_error: false 2025-08-14T21:26:30.7545102Z env: 2025-08-14T21:26:30.7545268Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.7545459Z AWS_RETRY_MODE: standard 2025-08-14T21:26:30.7545637Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:26:30.7545823Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:26:30.7546017Z ##[endgroup] 2025-08-14T21:26:31.7746706Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:31.7747176Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:31.7747580Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:31.7747835Z 2025-08-14T21:26:31.7747911Z Login Succeeded 2025-08-14T21:26:31.8712719Z Command completed after 1 attempt(s). 2025-08-14T21:26:31.8757468Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:26:31.8757866Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:26:31.8758177Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:26:31.8764394Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:31.8764681Z env: 2025-08-14T21:26:31.8764850Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:31.8765044Z ##[endgroup] 2025-08-14T21:26:31.8836476Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:26:31.8836912Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:26:31.8837196Z # shellcheck disable=SC2046 2025-08-14T21:26:31.8837430Z docker stop $(docker ps -q) || true 2025-08-14T21:26:31.8837663Z # Prune all of the docker images 2025-08-14T21:26:31.8837892Z docker system prune -af 2025-08-14T21:26:31.8842418Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:31.8842661Z env: 2025-08-14T21:26:31.8842827Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:31.8843136Z ##[endgroup] 2025-08-14T21:26:31.9354629Z "docker stop" requires at least 1 argument. 2025-08-14T21:26:31.9355047Z See 'docker stop --help'. 2025-08-14T21:26:31.9355221Z 2025-08-14T21:26:31.9355353Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:26:31.9355534Z 2025-08-14T21:26:31.9355628Z Stop one or more running containers 2025-08-14T21:26:31.9575769Z Total reclaimed space: 0B 2025-08-14T21:26:31.9606226Z ##[group]Run set +e 2025-08-14T21:26:31.9606449Z set +e 2025-08-14T21:26:31.9606623Z set -x 2025-08-14T21:26:31.9606783Z  2025-08-14T21:26:31.9606958Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:26:31.9607350Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:26:31.9607818Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:26:31.9608148Z # one is returned at random 2025-08-14T21:26:31.9608431Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:26:31.9608680Z  2025-08-14T21:26:31.9608969Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:26:31.9609252Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:26:31.9609592Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:26:31.9609852Z  2025-08-14T21:26:31.9610027Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:26:31.9610281Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:26:31.9610523Z  exit 1 2025-08-14T21:26:31.9610692Z  fi 2025-08-14T21:26:31.9610840Z fi 2025-08-14T21:26:31.9610993Z  2025-08-14T21:26:31.9611176Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:26:31.9611412Z  # Clean up any old records first 2025-08-14T21:26:31.9611653Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:26:31.9611871Z fi 2025-08-14T21:26:31.9612016Z  2025-08-14T21:26:31.9612222Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:26:31.9612480Z cat /etc/hosts 2025-08-14T21:26:31.9617263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:31.9617534Z env: 2025-08-14T21:26:31.9617732Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:31.9617919Z ##[endgroup] 2025-08-14T21:26:31.9640171Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:26:31.9646218Z ++ tail -n1 2025-08-14T21:26:31.9646694Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:26:32.0255402Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:26:32.0256419Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:26:32.0256719Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:26:32.0276841Z + sudo tee -a /etc/hosts 2025-08-14T21:26:32.0282524Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:26:32.2820860Z 18.160.10.28 download.pytorch.org 2025-08-14T21:26:32.2841812Z + cat /etc/hosts 2025-08-14T21:26:32.2852996Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:26:32.2858580Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:26:32.2858868Z 18.160.10.28 download.pytorch.org 2025-08-14T21:26:32.2973438Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:26:32.2973767Z with: 2025-08-14T21:26:32.2974373Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.2975032Z use-custom-docker-registry: true 2025-08-14T21:26:32.2975298Z docker-build-dir: .ci/docker 2025-08-14T21:26:32.2975521Z docker-build-script: ./build.sh 2025-08-14T21:26:32.2975741Z working-directory: . 2025-08-14T21:26:32.2975999Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.2976294Z force-push: false 2025-08-14T21:26:32.2976588Z env: 2025-08-14T21:26:32.2976753Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.2976942Z ##[endgroup] 2025-08-14T21:26:32.2991977Z ##[group]Run set -ex 2025-08-14T21:26:32.2992228Z set -ex 2025-08-14T21:26:32.2992399Z  2025-08-14T21:26:32.2992739Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:26:32.2993174Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:26:32.2993552Z # job could then download the pre-built image as usual 2025-08-14T21:26:32.2994011Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:26:32.2994432Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.2994655Z else 2025-08-14T21:26:32.2994846Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.2995156Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.2995423Z  2025-08-14T21:26:32.2995782Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:26:32.2996180Z  exit 0 2025-08-14T21:26:32.2996344Z fi 2025-08-14T21:26:32.2996495Z  2025-08-14T21:26:32.2996735Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:26:32.2997130Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:26:32.2997482Z  # use it as it is, but first let's extract the tag 2025-08-14T21:26:32.2997800Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:26:32.2998138Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.2998462Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.2998738Z else 2025-08-14T21:26:32.2998928Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:26:32.2999196Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:26:32.2999469Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:26:32.2999692Z  fi 2025-08-14T21:26:32.2999996Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:26:32.3000393Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.3000806Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.3001247Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.3001534Z fi 2025-08-14T21:26:32.3009792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:32.3010072Z env: 2025-08-14T21:26:32.3010250Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.3010447Z REPO_NAME: pytorch 2025-08-14T21:26:32.3011166Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3011803Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:26:32.3012026Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:26:32.3012308Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.3012601Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:26:32.3012824Z CUSTOM_TAG_PREFIX: 2025-08-14T21:26:32.3013009Z ##[endgroup] 2025-08-14T21:26:32.3040045Z + [[ -d .ci/docker ]] 2025-08-14T21:26:32.3040296Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:26:32.3040510Z + [[ true == \t\r\u\e ]] 2025-08-14T21:26:32.3040696Z + echo skip=false 2025-08-14T21:26:32.3041421Z + [[ 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* ]] 2025-08-14T21:26:32.3048669Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3049296Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:26:32.3086788Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3087526Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3088445Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3107779Z ##[group]Run set +e 2025-08-14T21:26:32.3108045Z set +e 2025-08-14T21:26:32.3108225Z set -x 2025-08-14T21:26:32.3108394Z  2025-08-14T21:26:32.3108547Z login() { 2025-08-14T21:26:32.3108889Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:26:32.3109257Z } 2025-08-14T21:26:32.3109405Z  2025-08-14T21:26:32.3109561Z retry () { 2025-08-14T21:26:32.3109757Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:26:32.3109968Z } 2025-08-14T21:26:32.3110123Z  2025-08-14T21:26:32.3110293Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:26:32.3110503Z  2025-08-14T21:26:32.3110659Z START_TIME=$(date +%s) 2025-08-14T21:26:32.3110901Z # Wait up to 120 minutes 2025-08-14T21:26:32.3111159Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:26:32.3111477Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:26:32.3111804Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:26:32.3112048Z  exit 0 2025-08-14T21:26:32.3112211Z  fi 2025-08-14T21:26:32.3112370Z  2025-08-14T21:26:32.3112640Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:26:32.3113060Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:26:32.3113473Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:26:32.3113817Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:26:32.3114090Z  # It's a Docker build job, let's build the image 2025-08-14T21:26:32.3114322Z  break 2025-08-14T21:26:32.3114483Z  else 2025-08-14T21:26:32.3114719Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:26:32.3114993Z  sleep 300 2025-08-14T21:26:32.3115161Z  fi 2025-08-14T21:26:32.3115320Z done 2025-08-14T21:26:32.3115475Z  2025-08-14T21:26:32.3115706Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:26:32.3116180Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:26:32.3116513Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:26:32.3116816Z  # if we're on the base branch then use the parent commit 2025-08-14T21:26:32.3117079Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:26:32.3117299Z else 2025-08-14T21:26:32.3117525Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:26:32.3117832Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:26:32.3118073Z fi 2025-08-14T21:26:32.3118226Z  2025-08-14T21:26:32.3118463Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:26:32.3118700Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.3118930Z  2025-08-14T21:26:32.3119240Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:26:32.3119580Z  exit 0 2025-08-14T21:26:32.3119745Z fi 2025-08-14T21:26:32.3119896Z  2025-08-14T21:26:32.3120105Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:26:32.3120535Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:26:32.3120905Z  exit 1 2025-08-14T21:26:32.3121078Z fi 2025-08-14T21:26:32.3121215Z  2025-08-14T21:26:32.3121447Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:26:32.3121840Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:26:32.3122195Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:26:32.3122616Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:26:32.3123094Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:26:32.3123385Z fi 2025-08-14T21:26:32.3123531Z  2025-08-14T21:26:32.3123717Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.3128918Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:32.3129177Z env: 2025-08-14T21:26:32.3129340Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.3129545Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:26:32.3129792Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:32.3130666Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3131501Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.3131994Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.3132260Z DOCKER_PUSH: 2025-08-14T21:26:32.3132428Z ##[endgroup] 2025-08-14T21:26:32.3159817Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.3160234Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.3164202Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:26:32.3164617Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.8536917Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:32.8537381Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:32.8537832Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:32.8538109Z 2025-08-14T21:26:32.8538195Z Login Succeeded 2025-08-14T21:26:32.8558454Z ++ date +%s 2025-08-14T21:26:32.8573289Z + START_TIME=1755206792 2025-08-14T21:26:32.8573559Z ++ date +%s 2025-08-14T21:26:32.8587387Z + [[ 1755199592 -lt 1755206792 ]] 2025-08-14T21:26:32.8588242Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.0838941Z { 2025-08-14T21:26:33.0839449Z "schemaVersion": 2, 2025-08-14T21:26:33.0840387Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:26:33.0840833Z "config": { 2025-08-14T21:26:33.0841139Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:26:33.0841446Z "size": 30151, 2025-08-14T21:26:33.0841782Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:26:33.0933547Z }, 2025-08-14T21:26:33.0933681Z { 2025-08-14T21:26:33.0933892Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:26:33.0934154Z "size": 32, 2025-08-14T21:26:33.0934426Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:26:33.0934729Z } 2025-08-14T21:26:33.0934879Z ] 2025-08-14T21:26:33.0935019Z } 2025-08-14T21:26:33.0955857Z ##[group]Run set -eux 2025-08-14T21:26:33.0956087Z set -eux 2025-08-14T21:26:33.0956679Z 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 2025-08-14T21:26:33.0963186Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:33.0963439Z env: 2025-08-14T21:26:33.0963608Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.0963819Z ##[endgroup] 2025-08-14T21:26:33.0992441Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:26:33.0993010Z + jq --raw-output .SecretString 2025-08-14T21:26:33.0993273Z + jq -r .docker_hub_readonly_token 2025-08-14T21:26:33.0993701Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:26:33.5981296Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:33.5981733Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:33.5982127Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:33.5982376Z 2025-08-14T21:26:33.5982599Z Login Succeeded 2025-08-14T21:26:33.6055700Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:26:33.6055975Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:26:33.6056246Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:26:33.6061147Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:33.6061423Z env: 2025-08-14T21:26:33.6061581Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.6062161Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.6062741Z ##[endgroup] 2025-08-14T21:26:33.6086245Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.6121874Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:26:33.6122217Z with: 2025-08-14T21:26:33.6122865Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.6123602Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.6123903Z env: 2025-08-14T21:26:33.6124091Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.6124323Z ##[endgroup] 2025-08-14T21:26:33.6136241Z ##[group]Run set -x 2025-08-14T21:26:33.6136477Z set -x 2025-08-14T21:26:33.6136670Z set +e 2025-08-14T21:26:33.6136856Z  2025-08-14T21:26:33.6137028Z login() { 2025-08-14T21:26:33.6137405Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:26:33.6137803Z } 2025-08-14T21:26:33.6137974Z  2025-08-14T21:26:33.6138218Z retry () { 2025-08-14T21:26:33.6138445Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:26:33.6138706Z } 2025-08-14T21:26:33.6138884Z  2025-08-14T21:26:33.6139080Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:26:33.6139323Z  2025-08-14T21:26:33.6139709Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:26:33.6140332Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:26:33.6140747Z  2025-08-14T21:26:33.6140928Z set -e 2025-08-14T21:26:33.6141211Z # ignore output since only exit code is used for conditional 2025-08-14T21:26:33.6141599Z # only pull docker image if it's not available locally 2025-08-14T21:26:33.6142020Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:26:33.6142419Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:26:33.6142671Z fi 2025-08-14T21:26:33.6147609Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:33.6147908Z env: 2025-08-14T21:26:33.6148101Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.6148766Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.6149534Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.6149848Z ##[endgroup] 2025-08-14T21:26:33.6171511Z + set +e 2025-08-14T21:26:33.6172197Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.6172554Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.6176312Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.6176670Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:26:34.0574432Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:34.0574814Z Login Succeeded 2025-08-14T21:26:34.0575073Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:34.0575481Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:34.0575738Z 2025-08-14T21:26:34.0598102Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:34.0603158Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:26:34.2464247Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:26:34.2464553Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:26:34.2464813Z + set -e 2025-08-14T21:26:34.2465790Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:34.2466423Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:26:34.2595772Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:34.2596836Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:34.4816859Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:26:34.4817450Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:26:34.4817724Z c7b4a852a455: Pulling fs layer 2025-08-14T21:26:34.4818583Z e5a28988c893: Pulling fs layer 2025-08-14T21:26:34.4818958Z 76a69b57b683: Pulling fs layer 2025-08-14T21:26:34.4819177Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:26:34.4819459Z 836ab08052e8: Pulling fs layer 2025-08-14T21:26:34.4819703Z 53b11c77468c: Pulling fs layer 2025-08-14T21:26:34.4821310Z e97311a6a967: Pulling fs layer 2025-08-14T21:26:34.4821551Z 2c414689d31d: Pulling fs layer 2025-08-14T21:26:34.4821813Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:26:34.4822043Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:26:34.4822298Z fc6b37d40530: Pulling fs layer 2025-08-14T21:26:34.4822520Z 2e1657907860: Pulling fs layer 2025-08-14T21:26:34.4822710Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:26:34.4822936Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:26:34.4823450Z d6226eb61f82: Pulling fs layer 2025-08-14T21:26:34.4823667Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:26:34.4823937Z 60c725d21861: Pulling fs layer 2025-08-14T21:26:34.4824228Z a504e76e66a4: Pulling fs layer 2025-08-14T21:26:34.4824505Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:26:34.4824779Z 43273c22704f: Pulling fs layer 2025-08-14T21:26:34.4825045Z 89df389d042a: Pulling fs layer 2025-08-14T21:26:34.4825315Z 684349f50d94: Pulling fs layer 2025-08-14T21:26:34.4826189Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:26:34.4826504Z 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660ffc76f83b: Download complete 2025-08-14T21:26:34.8987161Z e97311a6a967: Verifying Checksum 2025-08-14T21:26:34.8987693Z e97311a6a967: Download complete 2025-08-14T21:26:34.9141690Z 53b11c77468c: Verifying Checksum 2025-08-14T21:26:34.9141987Z 53b11c77468c: Download complete 2025-08-14T21:26:34.9860471Z 6d89b5f065d5: Verifying Checksum 2025-08-14T21:26:34.9860812Z 6d89b5f065d5: Download complete 2025-08-14T21:26:35.0601020Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:26:35.0601354Z 5a5cc76ada43: Download complete 2025-08-14T21:26:35.1309634Z fc6b37d40530: Verifying Checksum 2025-08-14T21:26:35.1309999Z fc6b37d40530: Download complete 2025-08-14T21:26:35.2152765Z 2e1657907860: Download complete 2025-08-14T21:26:36.0454156Z 660ffc76f83b: Pull complete 2025-08-14T21:26:36.0577320Z 2c414689d31d: Verifying Checksum 2025-08-14T21:26:36.0577631Z 2c414689d31d: Download complete 2025-08-14T21:26:36.0599049Z c7b4a852a455: Pull complete 2025-08-14T21:26:36.0658357Z 4f4fb700ef54: Verifying 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28d482062637: Pull complete 2025-08-14T21:36:12.4733335Z 3245316ff51b: Pull complete 2025-08-14T21:36:13.0292030Z b53167d1a6df: Pull complete 2025-08-14T21:36:13.4240659Z 7f5277f69167: Pull complete 2025-08-14T21:36:14.2273027Z 23dff10cdaa5: Pull complete 2025-08-14T21:36:16.9964785Z 9fb73296da6a: Pull complete 2025-08-14T21:36:17.6988874Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:36:17.7901406Z 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 2025-08-14T21:36:17.8414563Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:36:17.8493819Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:36:17.8494501Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:36:17.8503692Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:17.8503962Z env: 2025-08-14T21:36:17.8504145Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:17.8504347Z ##[endgroup] 2025-08-14T21:36:17.8580959Z Prepare all required actions 2025-08-14T21:36:17.8611556Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:36:17.8611921Z with: 2025-08-14T21:36:17.8612574Z github-token: *** 2025-08-14T21:36:17.8612769Z env: 2025-08-14T21:36:17.8612966Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:17.8613194Z ##[endgroup] 2025-08-14T21:36:17.8791738Z ##[group]Run set -eux 2025-08-14T21:36:17.8792249Z set -eux 2025-08-14T21:36:17.8792564Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:36:17.8798450Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:17.8798731Z env: 2025-08-14T21:36:17.8798903Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:17.8799275Z GITHUB_TOKEN: *** 2025-08-14T21:36:17.8799444Z ##[endgroup] 2025-08-14T21:36:17.8825181Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0119168a8260cce03 2025-08-14T21:36:19.4455230Z Setting output job-id=48128301889 2025-08-14T21:36:19.4456135Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:19.4560459Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:36:19.4560920Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:36:19.4561489Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:36:19.4561983Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:36:19.4567281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:19.4567526Z env: 2025-08-14T21:36:19.4567688Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:19.4567863Z JOB_ID: 48128301889 2025-08-14T21:36:19.4568284Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:19.4568728Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:36:19.4568983Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:36:19.4569175Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:36:19.4569370Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:36:19.4569572Z ##[endgroup] 2025-08-14T21:36:19.9902788Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:36:20.2905832Z Collecting psutil==5.9.8 2025-08-14T21:36:20.3046253Z 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) 2025-08-14T21:36:20.4337103Z Collecting dataclasses_json==0.6.7 2025-08-14T21:36:20.4409267Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:36:20.4880958Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:36:20.4922231Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:36:20.6354870Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:36:20.6397901Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:36:20.7160405Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:36:20.7192231Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:36:20.8200232Z Collecting packaging>=17.0 2025-08-14T21:36:20.8232976Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:36:20.9572953Z Collecting typing-extensions>=3.7.4 2025-08-14T21:36:20.9626588Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:36:21.0661261Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:36:21.0697013Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:36:21.3151353Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:36:22.2864535Z 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 2025-08-14T21:36:22.5345287Z Prepare all required actions 2025-08-14T21:36:22.5345608Z Getting action download info 2025-08-14T21:36:22.6620344Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:36:23.0035680Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:36:25.3244612Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:36:25.3244876Z with: 2025-08-14T21:36:25.3245067Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:25.3245315Z s3-bucket: gha-artifacts 2025-08-14T21:36:25.3245513Z env: 2025-08-14T21:36:25.3245678Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:25.3245859Z ##[endgroup] 2025-08-14T21:36:25.3309593Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:36:25.3309859Z with: 2025-08-14T21:36:25.3310053Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:25.3310289Z s3-bucket: gha-artifacts 2025-08-14T21:36:25.3310547Z region: us-east-1 2025-08-14T21:36:25.3310713Z env: 2025-08-14T21:36:25.3310877Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:25.3311065Z ##[endgroup] 2025-08-14T21:36:25.9997926Z (node:48177) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:36:25.9998431Z 2025-08-14T21:36:25.9998801Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:36:25.9999342Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:36:26.0000505Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:36:27.1035560Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:36:27.1036233Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:36:32.9879732Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:36:32.9882365Z Artifact download has finished successfully 2025-08-14T21:36:33.0100767Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:36:33.0101046Z unzip -o artifacts.zip 2025-08-14T21:36:33.0106932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:33.0107289Z env: 2025-08-14T21:36:33.0107481Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:33.0107673Z 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##[group]Run rm artifacts.zip 2025-08-14T21:36:40.4458501Z rm artifacts.zip 2025-08-14T21:36:40.4464025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:40.4464282Z env: 2025-08-14T21:36:40.4464449Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:40.4464637Z ##[endgroup] 2025-08-14T21:36:40.4757136Z ##[group]Run df -H 2025-08-14T21:36:40.4757360Z df -H 2025-08-14T21:36:40.4762434Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:40.4762707Z env: 2025-08-14T21:36:40.4762894Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:40.4763084Z ##[endgroup] 2025-08-14T21:36:40.4808626Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:36:40.4811076Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:36:40.4811462Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:36:40.4812260Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:36:40.4812616Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:36:40.4812982Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:36:40.4813332Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:36:40.4837997Z Prepare all required actions 2025-08-14T21:36:40.4838962Z Getting action download info 2025-08-14T21:36:40.6137378Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:36:40.6137635Z with: 2025-08-14T21:36:40.6137792Z env: 2025-08-14T21:36:40.6137957Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:40.6138143Z ##[endgroup] 2025-08-14T21:36:40.6355205Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:36:40.6355458Z with: 2025-08-14T21:36:40.6355627Z name: td_results 2025-08-14T21:36:40.6355810Z s3-bucket: gha-artifacts 2025-08-14T21:36:40.6355996Z region: us-east-1 2025-08-14T21:36:40.6356165Z env: 2025-08-14T21:36:40.6356326Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:40.6356505Z ##[endgroup] 2025-08-14T21:36:41.0002274Z (node:48197) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:36:41.0002693Z 2025-08-14T21:36:41.0002954Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:36:41.0003423Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:36:41.0003848Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:36:41.0765494Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:36:41.0775330Z Artifact download has finished successfully 2025-08-14T21:36:41.5178609Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:36:41.5178913Z mkdir -p .additional_ci_files 2025-08-14T21:36:41.5179205Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:36:41.5185404Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:41.5185774Z env: 2025-08-14T21:36:41.5185951Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:41.5186146Z ##[endgroup] 2025-08-14T21:36:41.5243377Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:36:41.5352183Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:36:41.5352484Z .github/scripts/parse_ref.py 2025-08-14T21:36:41.5357345Z shell: /usr/bin/bash -e {0} 2025-08-14T21:36:41.5357529Z env: 2025-08-14T21:36:41.5357686Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:41.5357860Z ##[endgroup] 2025-08-14T21:36:41.5799870Z Setting output branch=main 2025-08-14T21:36:41.5894300Z Prepare all required actions 2025-08-14T21:36:41.5894664Z Getting action download info 2025-08-14T21:36:41.6976946Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:36:41.6977213Z with: 2025-08-14T21:36:41.6977587Z github-token: *** 2025-08-14T21:36:41.6980175Z test-matrix: {"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]} 2025-08-14T21:36:41.6983053Z job-name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:41.6983502Z env: 2025-08-14T21:36:41.6983665Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:41.6983870Z ##[endgroup] 2025-08-14T21:36:41.7015334Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:36:41.7015598Z with: 2025-08-14T21:36:41.7015788Z shell: bash 2025-08-14T21:36:41.7015988Z timeout_minutes: 10 2025-08-14T21:36:41.7016189Z max_attempts: 5 2025-08-14T21:36:41.7016414Z retry_wait_seconds: 30 2025-08-14T21:36:41.7017031Z 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 2025-08-14T21:36:41.7017650Z polling_interval_seconds: 1 2025-08-14T21:36:41.7017880Z warning_on_retry: true 2025-08-14T21:36:41.7018098Z continue_on_error: false 2025-08-14T21:36:41.7018315Z env: 2025-08-14T21:36:41.7018489Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:41.7018868Z GITHUB_TOKEN: *** 2025-08-14T21:36:41.7019072Z ##[endgroup] 2025-08-14T21:36:41.8249619Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:36:42.0166760Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:36:42.1351081Z Collecting requests==2.27.1 2025-08-14T21:36:42.1489294Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:36:42.3892746Z Collecting pyyaml==6.0.2 2025-08-14T21:36:42.3922445Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:36:42.4705725Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:36:42.4710483Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:36:42.7838419Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:36:42.7865911Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:36:42.9357979Z Collecting certifi>=2017.4.17 2025-08-14T21:36:42.9396072Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:36:43.0822534Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:36:43.5953567Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:36:43.7684180Z Command completed after 1 attempt(s). 2025-08-14T21:36:43.7741562Z ##[group]Run set -x 2025-08-14T21:36:43.7741784Z set -x 2025-08-14T21:36:43.7741944Z  2025-08-14T21:36:43.7742214Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:36:43.7742538Z # in runner workspace 2025-08-14T21:36:43.7742805Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:36:43.7748210Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:43.7748467Z env: 2025-08-14T21:36:43.7748634Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:43.7748812Z ##[endgroup] 2025-08-14T21:36:43.7774191Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:36:43.7924342Z Setting output branch=main 2025-08-14T21:36:43.7977065Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:36:43.7977374Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:36:43.7977636Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:36:43.7977837Z  2025-08-14T21:36:43.7978099Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:36:43.7978411Z # in runner workspace 2025-08-14T21:36:43.7978699Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:36:43.7979012Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:36:43.7979243Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:36:43.7981848Z  --test-matrix "{"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}" \ 2025-08-14T21:36:43.7984367Z  --selected-test-configs "" \ 2025-08-14T21:36:43.7984621Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:36:43.7984849Z  --tag "${TAG}" \ 2025-08-14T21:36:43.7985056Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:36:43.7985291Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:36:43.7985513Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:36:43.7990499Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:43.7990757Z env: 2025-08-14T21:36:43.7990934Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:43.7991479Z GITHUB_TOKEN: *** 2025-08-14T21:36:43.7991924Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:43.7992366Z PR_NUMBER: 2025-08-14T21:36:43.7992540Z TAG: 2025-08-14T21:36:43.7992706Z EVENT_NAME: schedule 2025-08-14T21:36:43.7992893Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:36:43.7993114Z HEAD_BRANCH: main 2025-08-14T21:36:43.7993307Z ##[endgroup] 2025-08-14T21:36:43.8017004Z Workflow: inductor-periodic 2025-08-14T21:36:43.8017534Z Job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:43.9737136Z Setting output keep-going=True 2025-08-14T21:36:43.9737502Z Setting output ci-verbose-test-logs=False 2025-08-14T21:36:43.9737768Z Setting output ci-test-showlocals=False 2025-08-14T21:36:43.9738005Z Setting output ci-no-test-timeout=False 2025-08-14T21:36:43.9738238Z Setting output ci-no-td=False 2025-08-14T21:36:43.9738468Z Setting output ci-td-distributed=False 2025-08-14T21:36:43.9738795Z Setting output is-unstable=False 2025-08-14T21:36:43.9739020Z Setting output reenabled-issues= 2025-08-14T21:36:43.9741681Z Setting output test-matrix={"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]} 2025-08-14T21:36:43.9744709Z Setting output is-test-matrix-empty=False 2025-08-14T21:36:43.9867231Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:36:43.9867506Z echo "Filtered matrix:" 2025-08-14T21:36:43.9869778Z echo "{"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}" 2025-08-14T21:36:43.9872336Z  2025-08-14T21:36:43.9872496Z echo 2025-08-14T21:36:43.9872699Z echo "Is the current job unstable? False" 2025-08-14T21:36:43.9872925Z  2025-08-14T21:36:43.9873076Z echo 2025-08-14T21:36:43.9873265Z echo "Is keep-going label set? True" 2025-08-14T21:36:43.9873482Z  2025-08-14T21:36:43.9873630Z echo 2025-08-14T21:36:43.9873804Z echo "Reenabled issues? " 2025-08-14T21:36:43.9878707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:43.9878973Z env: 2025-08-14T21:36:43.9879148Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:43.9879338Z ##[endgroup] 2025-08-14T21:36:43.9905648Z Filtered matrix: 2025-08-14T21:36:43.9908339Z {include: [{config: cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_avx2_huggingface, shard: 1, num_shards: 1, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_torchbench, shard: 1, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_torchbench, shard: 2, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_timm, shard: 1, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_timm, shard: 2, num_shards: 2, runner: linux.10xlarge.avx2}]} 2025-08-14T21:36:43.9910973Z 2025-08-14T21:36:43.9911070Z Is the current job unstable? False 2025-08-14T21:36:43.9911222Z 2025-08-14T21:36:43.9911329Z Is keep-going label set? True 2025-08-14T21:36:43.9911468Z 2025-08-14T21:36:43.9911544Z Reenabled issues? 2025-08-14T21:36:43.9957860Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:36:43.9958202Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:36:43.9962952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:43.9963198Z env: 2025-08-14T21:36:43.9963363Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:43.9963534Z JOB_TIMEOUT: 240 2025-08-14T21:36:43.9963703Z ##[endgroup] 2025-08-14T21:36:44.0001745Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:36:44.0002104Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:36:44.0002416Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:36:44.0006639Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:44.0006901Z env: 2025-08-14T21:36:44.0007070Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:44.0007252Z ##[endgroup] 2025-08-14T21:36:44.0092516Z ##[group]Run set -x 2025-08-14T21:36:44.0092785Z set -x 2025-08-14T21:36:44.0092948Z  2025-08-14T21:36:44.0093144Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:36:44.0093425Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:36:44.0093698Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:36:44.0093952Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:36:44.0094165Z else 2025-08-14T21:36:44.0094355Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:36:44.0094566Z fi 2025-08-14T21:36:44.0094719Z  2025-08-14T21:36:44.0094928Z # Leaving 1GB for the runner and other things 2025-08-14T21:36:44.0095322Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:36:44.0095919Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:36:44.0096702Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:36:44.0097057Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:36:44.0097757Z  2025-08-14T21:36:44.0097974Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:36:44.0098213Z  SHM_OPTS= 2025-08-14T21:36:44.0098400Z  JENKINS_USER= 2025-08-14T21:36:44.0098652Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:36:44.0098969Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:36:44.0099254Z  # when job is cancelled 2025-08-14T21:36:44.0099476Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:36:44.0099689Z else 2025-08-14T21:36:44.0099965Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:36:44.0100207Z  JENKINS_USER="--user jenkins" 2025-08-14T21:36:44.0100434Z  DOCKER_SHELL_CMD= 2025-08-14T21:36:44.0100800Z fi 2025-08-14T21:36:44.0100965Z  2025-08-14T21:36:44.0101209Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:36:44.0101561Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:36:44.0101968Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:36:44.0102328Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:36:44.0102570Z container_name=$(docker run \ 2025-08-14T21:36:44.0102785Z  ${GPU_FLAG:-} \ 2025-08-14T21:36:44.0103131Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:36:44.0103378Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:36:44.0103587Z  -e PR_NUMBER \ 2025-08-14T21:36:44.0103791Z  -e GITHUB_ACTIONS \ 2025-08-14T21:36:44.0104003Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:36:44.0104225Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:36:44.0104427Z  -e GITHUB_JOB \ 2025-08-14T21:36:44.0104623Z  -e GITHUB_RUN_ID \ 2025-08-14T21:36:44.0104820Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:36:44.0105019Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:36:44.0105226Z  -e JOB_ID \ 2025-08-14T21:36:44.0105416Z  -e JOB_NAME \ 2025-08-14T21:36:44.0105596Z  -e BASE_SHA \ 2025-08-14T21:36:44.0105780Z  -e BRANCH \ 2025-08-14T21:36:44.0105961Z  -e SHA1 \ 2025-08-14T21:36:44.0106138Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:36:44.0106345Z  -e IN_WHEEL_TEST \ 2025-08-14T21:36:44.0106544Z  -e SHARD_NUMBER \ 2025-08-14T21:36:44.0106740Z  -e TEST_CONFIG \ 2025-08-14T21:36:44.0106931Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:36:44.0107138Z  -e REENABLED_ISSUES \ 2025-08-14T21:36:44.0107350Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:36:44.0107640Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:36:44.0107849Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:36:44.0108072Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:36:44.0108295Z  -e NO_TD \ 2025-08-14T21:36:44.0108487Z  -e TD_DISTRIBUTED \ 2025-08-14T21:36:44.0108688Z  -e PR_LABELS \ 2025-08-14T21:36:44.0108904Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:36:44.0109137Z  -e SCCACHE_BUCKET \ 2025-08-14T21:36:44.0109336Z  -e SCCACHE_REGION \ 2025-08-14T21:36:44.0109559Z  -e XLA_CUDA \ 2025-08-14T21:36:44.0109766Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:36:44.0110014Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:36:44.0110272Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:36:44.0110534Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:36:44.0110758Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:36:44.0110986Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:36:44.0111204Z  -e DASHBOARD_TAG \ 2025-08-14T21:36:44.0111398Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:36:44.0111647Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:36:44.0111929Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:36:44.0112209Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:36:44.0112468Z  --security-opt seccomp=unconfined \ 2025-08-14T21:36:44.0112700Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:36:44.0112903Z  --ipc=host \ 2025-08-14T21:36:44.0113077Z  ${SHM_OPTS} \ 2025-08-14T21:36:44.0113259Z  --tty \ 2025-08-14T21:36:44.0113429Z  --detach \ 2025-08-14T21:36:44.0113618Z  --name="${container_name}" \ 2025-08-14T21:36:44.0113823Z  ${JENKINS_USER} \ 2025-08-14T21:36:44.0114057Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:36:44.0114321Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:36:44.0114529Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:36:44.0114721Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:36:44.0114902Z ) 2025-08-14T21:36:44.0115103Z # Propagate download.pytorch.org IP to container 2025-08-14T21:36:44.0115533Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:36:44.0115986Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:36:44.0116252Z  2025-08-14T21:36:44.0116434Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:36:44.0116869Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:36:44.0117199Z fi 2025-08-14T21:36:44.0117342Z  2025-08-14T21:36:44.0117671Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:36:44.0122257Z shell: /usr/bin/bash -e {0} 2025-08-14T21:36:44.0122469Z env: 2025-08-14T21:36:44.0122631Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:44.0122874Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:44.0123119Z PR_NUMBER: 2025-08-14T21:36:44.0123290Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:36:44.0123515Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:36:44.0123728Z GITHUB_JOB: test 2025-08-14T21:36:44.0123894Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:36:44.0124089Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:36:44.0124279Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:36:44.0124456Z JOB_ID: 48128301889 2025-08-14T21:36:44.0124875Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:44.0125318Z BRANCH: main 2025-08-14T21:36:44.0125512Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:44.0125834Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:44.0126087Z TEST_CONFIG: dynamic_cpu_inductor_timm 2025-08-14T21:36:44.0126306Z SHARD_NUMBER: 2 2025-08-14T21:36:44.0126470Z NUM_TEST_SHARDS: 2 2025-08-14T21:36:44.0126648Z REENABLED_ISSUES: 2025-08-14T21:36:44.0126830Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:36:44.0127026Z VERBOSE_TEST_LOGS: False 2025-08-14T21:36:44.0127221Z TEST_SHOWLOCALS: False 2025-08-14T21:36:44.0127407Z NO_TEST_TIMEOUT: False 2025-08-14T21:36:44.0127590Z NO_TD: False 2025-08-14T21:36:44.0127749Z TD_DISTRIBUTED: False 2025-08-14T21:36:44.0127975Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:36:44.0128230Z SCCACHE_REGION: us-east-1 2025-08-14T21:36:44.0128413Z SHM_SIZE: 1g 2025-08-14T21:36:44.0128964Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:36:44.0129554Z XLA_CUDA: 2025-08-14T21:36:44.0129810Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:36:44.0130353Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:36:44.0130587Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:36:44.0130800Z DASHBOARD_TAG: 2025-08-14T21:36:44.0131150Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:36:44.0131446Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:36:44.0131787Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T21:36:44.0132126Z ##[endgroup] 2025-08-14T21:36:44.0153417Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:36:44.0153801Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:36:44.0154065Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:36:44.0160402Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:36:44.0176179Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:36:44.0176552Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:36:44.0176845Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:36:44.0177115Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:36:44.0177323Z + JENKINS_USER='--user jenkins' 2025-08-14T21:36:44.0177530Z + DOCKER_SHELL_CMD= 2025-08-14T21:36:44.0186057Z +++ nproc --ignore=2 2025-08-14T21:36:44.0217869Z ++ 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 2025-08-14T21:36:54.8289887Z + container_name=34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T21:36:54.8293053Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:36:54.8293662Z + docker exec -i 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:36:54.9708391Z + echo DOCKER_CONTAINER_ID=34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T21:36:54.9710059Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:36:54.9717890Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:54.9718698Z + docker exec -t 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:36:55.3418350Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:36:55.5710742Z 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) 2025-08-14T21:36:55.5716053Z 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) 2025-08-14T21:36:55.5722717Z 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) 2025-08-14T21:36:55.5723669Z 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) 2025-08-14T21:36:55.5724498Z 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) 2025-08-14T21:36:55.5725240Z 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) 2025-08-14T21:36:55.5733885Z 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) 2025-08-14T21:36:55.6042412Z 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) 2025-08-14T21:36:55.6057255Z 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) 2025-08-14T21:36:55.6108190Z 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) 2025-08-14T21:36:56.4124789Z Installing collected packages: torch 2025-08-14T21:37:04.0292768Z 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. 2025-08-14T21:37:04.0294087Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:37:04.0294432Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:37:04.0295463Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:37:04.0296202Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:37:04.0297497Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:37:04.0298100Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:37:04.1293446Z + export TERM=vt100 2025-08-14T21:37:04.1293709Z + TERM=vt100 2025-08-14T21:37:04.1294137Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:37:04.1305024Z + source .ci/pytorch/common.sh 2025-08-14T21:37:04.1313695Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:37:04.1318182Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:37:04.1323386Z +++ declare -f -t trap_add 2025-08-14T21:37:04.1327774Z ++ set -ex -o pipefail 2025-08-14T21:37:04.1333409Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:37:04.1335495Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:37:04.1336084Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:37:04.1336365Z + source .ci/pytorch/common-build.sh 2025-08-14T21:37:04.1337051Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:37:04.1337339Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:37:04.1344506Z +++ cd .ci/pytorch 2025-08-14T21:37:04.1349276Z +++ pwd -P 2025-08-14T21:37:04.1354959Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:37:04.1360482Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:37:04.1366064Z ++ which sccache 2025-08-14T21:37:04.1378737Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:37:04.1379042Z ++ sccache --stop-server 2025-08-14T21:37:04.1407683Z ++ true 2025-08-14T21:37:04.1407939Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:37:04.1418714Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:37:04.1419367Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:37:04.1419619Z ++ shift 2025-08-14T21:37:04.1420041Z ++ for trap_add_name in "$@" 2025-08-14T21:37:04.1420263Z ++++ trap -p EXIT 2025-08-14T21:37:04.1420453Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:37:04.1420666Z ++++ extract_trap_cmd 2025-08-14T21:37:04.1420838Z ++++ printf '%s\n' '' 2025-08-14T21:37:04.1421025Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:37:04.1428936Z ++ trap -- ' 2025-08-14T21:37:04.1429244Z sccache_epilogue' EXIT 2025-08-14T21:37:04.1429629Z ++ [[ -n 1 ]] 2025-08-14T21:37:04.1429916Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:37:04.1430486Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:37:04.1430812Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:37:04.1431033Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:37:04.1431301Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:37:04.1431610Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:37:04.1431916Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:37:04.1432142Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:37:04.1432354Z ++ sccache --zero-stats 2025-08-14T21:37:04.3010873Z Statistics zeroed. 2025-08-14T21:37:04.3012342Z ++ which ccache 2025-08-14T21:37:04.3047160Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:37:04.3047484Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:37:04.3051732Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:37:04.3052030Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:37:04.3057480Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:37:04.3057966Z + trap_add cleanup_workspace EXIT 2025-08-14T21:37:04.3058240Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:37:04.3058452Z + shift 2025-08-14T21:37:04.3058619Z + for trap_add_name in "$@" 2025-08-14T21:37:04.3072730Z +++ trap -p EXIT 2025-08-14T21:37:04.3073498Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:37:04.3073774Z sccache_epilogue'\'' EXIT' 2025-08-14T21:37:04.3073979Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:37:04.3074178Z sccache_epilogue' EXIT 2025-08-14T21:37:04.3074359Z +++ printf '%s\n' ' 2025-08-14T21:37:04.3074523Z sccache_epilogue' 2025-08-14T21:37:04.3074718Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:37:04.3074925Z + trap -- ' 2025-08-14T21:37:04.3075078Z sccache_epilogue 2025-08-14T21:37:04.3075251Z cleanup_workspace' EXIT 2025-08-14T21:37:04.3075467Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:37:04.7656925Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:37:04.7683351Z + echo 'Environment variables:' 2025-08-14T21:37:04.7685068Z Environment variables: 2025-08-14T21:37:04.7685306Z + env 2025-08-14T21:37:04.7686260Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:37:04.7686749Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:37:04.7687053Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:37:04.7687310Z HOSTNAME=34ddddeacf46 2025-08-14T21:37:04.7687750Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.7688183Z GITHUB_ACTION=__run_2 2025-08-14T21:37:04.7688698Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:37:04.7688928Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:37:04.7689127Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:37:04.7689372Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:37:04.7689610Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:37:04.7689831Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:37:04.7690260Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:37:04.7690490Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:37:04.7690708Z GITHUB_REF_TYPE=branch 2025-08-14T21:37:04.7690895Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:37:04.7691123Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.7691365Z XLA_CUDA= 2025-08-14T21:37:04.7691539Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:37:04.7691826Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:37:04.7694255Z *** 2025-08-14T21:37:04.7694425Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:37:04.7694635Z GITHUB_ACTIONS=true 2025-08-14T21:37:04.7694862Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:37:04.7695147Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.7695401Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.7695800Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:37:04.7696165Z UCC_HOME=/usr 2025-08-14T21:37:04.7696332Z VERBOSE_TEST_LOGS=False 2025-08-14T21:37:04.7696526Z GITHUB_REF=refs/heads/main 2025-08-14T21:37:04.7696714Z SHARD_NUMBER=2 2025-08-14T21:37:04.7696881Z GITHUB_REF_PROTECTED=true 2025-08-14T21:37:04.7697075Z HOME=/var/lib/jenkins 2025-08-14T21:37:04.7697288Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:37:04.7697525Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:37:04.7697733Z UCX_COMMIT= 2025-08-14T21:37:04.7697894Z USE_SYSTEM_NCCL=1 2025-08-14T21:37:04.7698056Z NUM_TEST_SHARDS=2 2025-08-14T21:37:04.7698224Z UCX_HOME=/usr 2025-08-14T21:37:04.7698623Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.7699297Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:37:04.7700079Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.7700611Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:37:04.7700956Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:37:04.7701147Z DASHBOARD_TAG= 2025-08-14T21:37:04.7701320Z GITHUB_RUN_ID=16976338999 2025-08-14T21:37:04.7701513Z INSTALLED_OPENBLAS= 2025-08-14T21:37:04.7701931Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.7702535Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:37:04.7702736Z PR_NUMBER= 2025-08-14T21:37:04.7702895Z DESIRED_CUDA= 2025-08-14T21:37:04.7703056Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:37:04.7703248Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:37:04.7703489Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:37:04.7703731Z TERM=vt100 2025-08-14T21:37:04.7703896Z INSTALLED_VISION=yes 2025-08-14T21:37:04.7704073Z BRANCH=main 2025-08-14T21:37:04.7704235Z SCCACHE_REGION=us-east-1 2025-08-14T21:37:04.7704434Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:37:04.7704637Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:37:04.7704977Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:37:04.7705372Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:37:04.7705585Z UCC_COMMIT= 2025-08-14T21:37:04.7705741Z REENABLED_ISSUES= 2025-08-14T21:37:04.7705904Z DOCS=yes 2025-08-14T21:37:04.7706056Z SHLVL=1 2025-08-14T21:37:04.7706207Z MAX_JOBS=30 2025-08-14T21:37:04.7706363Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:37:04.7706602Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.7706865Z GITHUB_REF_NAME=main 2025-08-14T21:37:04.7707191Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:37:04.7707488Z GITHUB_JOB=test 2025-08-14T21:37:04.7707660Z NO_TEST_TIMEOUT=False 2025-08-14T21:37:04.7707834Z TD_DISTRIBUTED=False 2025-08-14T21:37:04.7708134Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:37:04.7708352Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:37:04.7708538Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:37:04.7708732Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:37:04.7709244Z 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 2025-08-14T21:37:04.7709759Z GITHUB_BASE_REF= 2025-08-14T21:37:04.7709924Z INSTALLED_ACL= 2025-08-14T21:37:04.7710219Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T21:37:04.7710539Z CI=true 2025-08-14T21:37:04.7710696Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:37:04.7710953Z RUST_LOG=sccache::server=error 2025-08-14T21:37:04.7711148Z JOB_ID=48128301889 2025-08-14T21:37:04.7711307Z GITHUB_HEAD_REF= 2025-08-14T21:37:04.7711470Z GITHUB_ACTION_REF= 2025-08-14T21:37:04.7711683Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:37:04.7711918Z TEST_SHOWLOCALS=False 2025-08-14T21:37:04.7712111Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:37:04.7712334Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:37:04.7712734Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.7713129Z NO_TD=False 2025-08-14T21:37:04.7713307Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:37:04.7713522Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:37:04.7713732Z _=/usr/bin/env 2025-08-14T21:37:04.7714015Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:37:04.7989191Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:37:04.7989823Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:37:04.7990878Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:37:04.7991364Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:37:04.7991669Z + BUILD_DIR=build 2025-08-14T21:37:04.7991851Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:37:04.7992057Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:37:04.7992237Z + SHARD_NUMBER=2 2025-08-14T21:37:04.7992397Z + NUM_TEST_SHARDS=2 2025-08-14T21:37:04.7994484Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:37:04.7994919Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:37:04.7995154Z + export VALGRIND=ON 2025-08-14T21:37:04.7995764Z + VALGRIND=ON 2025-08-14T21:37:04.7995996Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:37:04.7996272Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:37:04.7996636Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:37:04.7996941Z + [[ 0 == \1 ]] 2025-08-14T21:37:04.7997242Z + [[ True == \1 ]] 2025-08-14T21:37:04.7997540Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:37:04.7997841Z ++ realpath build/custom_test_artifacts 2025-08-14T21:37:04.8004660Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:37:04.8005003Z + [[ -n '' ]] 2025-08-14T21:37:04.8005181Z + echo 'Environment variables' 2025-08-14T21:37:04.8005388Z Environment variables 2025-08-14T21:37:04.8005585Z + env 2025-08-14T21:37:04.8025633Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:37:04.8025975Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:37:04.8026224Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:37:04.8026481Z HOSTNAME=34ddddeacf46 2025-08-14T21:37:04.8026865Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.8027264Z GITHUB_ACTION=__run_2 2025-08-14T21:37:04.8027454Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:37:04.8027859Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:37:04.8028054Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:37:04.8028280Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:37:04.8028510Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:37:04.8028724Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:37:04.8029143Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:37:04.8029361Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:37:04.8029578Z GITHUB_REF_TYPE=branch 2025-08-14T21:37:04.8029757Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:37:04.8030096Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.8030337Z XLA_CUDA= 2025-08-14T21:37:04.8030499Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:37:04.8030779Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:37:04.8031015Z *** 2025-08-14T21:37:04.8031173Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:37:04.8031356Z GITHUB_ACTIONS=true 2025-08-14T21:37:04.8031567Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:37:04.8031828Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.8032067Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.8032437Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:37:04.8032778Z UCC_HOME=/usr 2025-08-14T21:37:04.8032940Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:37:04.8033131Z VERBOSE_TEST_LOGS=False 2025-08-14T21:37:04.8033313Z GITHUB_REF=refs/heads/main 2025-08-14T21:37:04.8033487Z SHARD_NUMBER=2 2025-08-14T21:37:04.8033661Z GITHUB_REF_PROTECTED=true 2025-08-14T21:37:04.8033847Z HOME=/var/lib/jenkins 2025-08-14T21:37:04.8034039Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:37:04.8034273Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:37:04.8034481Z UCX_COMMIT= 2025-08-14T21:37:04.8034639Z USE_SYSTEM_NCCL=1 2025-08-14T21:37:04.8034799Z NUM_TEST_SHARDS=2 2025-08-14T21:37:04.8035393Z UCX_HOME=/usr 2025-08-14T21:37:04.8035801Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.8036428Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:37:04.8037121Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.8037624Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:37:04.8037995Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:37:04.8038188Z DASHBOARD_TAG= 2025-08-14T21:37:04.8038351Z GITHUB_RUN_ID=16976338999 2025-08-14T21:37:04.8038538Z INSTALLED_OPENBLAS= 2025-08-14T21:37:04.8039020Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.8039418Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:37:04.8039604Z PR_NUMBER= 2025-08-14T21:37:04.8039753Z DESIRED_CUDA= 2025-08-14T21:37:04.8039903Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:37:04.8040068Z VALGRIND=ON 2025-08-14T21:37:04.8040226Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:37:04.8040438Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:37:04.8040670Z TERM=vt100 2025-08-14T21:37:04.8040829Z INSTALLED_VISION=yes 2025-08-14T21:37:04.8040991Z BRANCH=main 2025-08-14T21:37:04.8041163Z SCCACHE_REGION=us-east-1 2025-08-14T21:37:04.8041345Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:37:04.8041533Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:37:04.8041854Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:37:04.8042221Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:37:04.8042432Z UCC_COMMIT= 2025-08-14T21:37:04.8042578Z REENABLED_ISSUES= 2025-08-14T21:37:04.8042741Z DOCS=yes 2025-08-14T21:37:04.8042883Z SHLVL=1 2025-08-14T21:37:04.8043019Z MAX_JOBS=30 2025-08-14T21:37:04.8043173Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:37:04.8043459Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:37:04.8043707Z GITHUB_REF_NAME=main 2025-08-14T21:37:04.8043969Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:37:04.8044251Z GITHUB_JOB=test 2025-08-14T21:37:04.8044410Z NO_TEST_TIMEOUT=False 2025-08-14T21:37:04.8044588Z TD_DISTRIBUTED=False 2025-08-14T21:37:04.8044776Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:37:04.8044981Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:37:04.8045175Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:37:04.8045366Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:37:04.8045897Z 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 2025-08-14T21:37:04.8046423Z GITHUB_BASE_REF= 2025-08-14T21:37:04.8046594Z INSTALLED_ACL= 2025-08-14T21:37:04.8046897Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T21:37:04.8047217Z CI=true 2025-08-14T21:37:04.8047384Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:37:04.8047647Z RUST_LOG=sccache::server=error 2025-08-14T21:37:04.8047833Z JOB_ID=48128301889 2025-08-14T21:37:04.8047999Z GITHUB_HEAD_REF= 2025-08-14T21:37:04.8048170Z GITHUB_ACTION_REF= 2025-08-14T21:37:04.8048375Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:37:04.8048617Z TEST_SHOWLOCALS=False 2025-08-14T21:37:04.8048810Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:37:04.8049022Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:37:04.8049445Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_a862856b-a08b-48e8-b22c-d72aef6fb371 2025-08-14T21:37:04.8049866Z NO_TD=False 2025-08-14T21:37:04.8050050Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:37:04.8050262Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:37:04.8050477Z _=/usr/bin/env 2025-08-14T21:37:04.8050646Z + echo 'Testing pytorch' 2025-08-14T21:37:04.8050821Z Testing pytorch 2025-08-14T21:37:04.8051016Z + export LANG=C.UTF-8 2025-08-14T21:37:04.8051193Z + LANG=C.UTF-8 2025-08-14T21:37:04.8051350Z + PR_NUMBER= 2025-08-14T21:37:04.8051547Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:37:04.8051825Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:37:04.8052083Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]] 2025-08-14T21:37:04.8052359Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:37:04.8052635Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:37:04.8052886Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:37:04.8053126Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:37:04.8053369Z + [[ dynamic_cpu_inductor_timm == *crossref* ]] 2025-08-14T21:37:04.8053661Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:37:04.8053900Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:37:04.8054153Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:37:04.8054403Z + pip_install ninja==1.10.2 2025-08-14T21:37:04.8054650Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:37:04.8054956Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:37:05.1602169Z Collecting ninja==1.10.2 2025-08-14T21:37:05.1697891Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:37:05.1796430Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:37:05.9671443Z Installing collected packages: ninja 2025-08-14T21:37:05.9671961Z Attempting uninstall: ninja 2025-08-14T21:37:05.9680924Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:37:05.9697714Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:37:05.9959359Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:37:06.1707464Z Successfully installed ninja-1.10.2 2025-08-14T21:37:06.2736164Z + 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 2025-08-14T21:37:06.2737252Z + 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 2025-08-14T21:37:06.2737910Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:37:06.2738204Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:37:06.2738481Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:37:06.2738756Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:37:06.2739146Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:37:06.2739618Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:37:06.2740240Z + cd test 2025-08-14T21:37:06.2740494Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:37:07.4907215Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:37:07.4907646Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:37:07.4907986Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:37:07.4908782Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:37:07.4909049Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-14T21:37:07.4909379Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]] 2025-08-14T21:37:07.4909680Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]] 2025-08-14T21:37:07.4909964Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]] 2025-08-14T21:37:07.4910276Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-14T21:37:07.4910618Z + [[ dynamic_cpu_inductor_timm == *inductor* ]] 2025-08-14T21:37:07.4910880Z + [[ dynamic_cpu_inductor_timm != *perf* ]] 2025-08-14T21:37:07.4911208Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:37:07.4911530Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]] 2025-08-14T21:37:07.4911946Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-08-14T21:37:07.4912255Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:37:07.4912540Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:37:07.5199519Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:37:07.5199850Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:37:07.5201402Z + cd test 2025-08-14T21:37:07.5201640Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:37:08.4905863Z PyTorch built with: 2025-08-14T21:37:08.4910124Z - GCC 11.4 2025-08-14T21:37:08.4910356Z - C++ Version: 201703 2025-08-14T21:37:08.4910772Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:37:08.4911629Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:37:08.4911948Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:37:08.4912205Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:37:08.4912443Z - NNPACK is enabled 2025-08-14T21:37:08.4912642Z - CPU capability usage: AVX512 2025-08-14T21:37:08.4915678Z - 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, 2025-08-14T21:37:08.4918800Z 2025-08-14T21:37:08.7242189Z + cd test 2025-08-14T21:37:08.7242545Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:37:09.7097643Z ATen/Parallel: 2025-08-14T21:37:09.7098071Z at::get_num_threads() : 16 2025-08-14T21:37:09.7098401Z at::get_num_interop_threads() : 16 2025-08-14T21:37:09.7098726Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:37:09.7099078Z omp_get_max_threads() : 16 2025-08-14T21:37:09.7099798Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:37:09.7100414Z mkl_get_max_threads() : 16 2025-08-14T21:37:09.7100832Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:37:09.7101301Z std::thread::hardware_concurrency() : 32 2025-08-14T21:37:09.7101635Z Environment variables: 2025-08-14T21:37:09.7101928Z OMP_NUM_THREADS : [not set] 2025-08-14T21:37:09.7102176Z MKL_NUM_THREADS : [not set] 2025-08-14T21:37:09.7102436Z ATen parallel backend: OpenMP 2025-08-14T21:37:09.7102607Z 2025-08-14T21:37:09.9284480Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]] 2025-08-14T21:37:09.9284917Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:37:09.9285203Z + [[ dynamic_cpu_inductor_timm == *backward* ]] 2025-08-14T21:37:09.9285451Z + [[ dynamic_cpu_inductor_timm == *xla* ]] 2025-08-14T21:37:09.9285732Z + [[ dynamic_cpu_inductor_timm == *executorch* ]] 2025-08-14T21:37:09.9286007Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:37:09.9286290Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:37:09.9286544Z + [[ dynamic_cpu_inductor_timm == distributed ]] 2025-08-14T21:37:09.9286828Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]] 2025-08-14T21:37:09.9287116Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]] 2025-08-14T21:37:09.9287403Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]] 2025-08-14T21:37:09.9287690Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-14T21:37:09.9288005Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:37:09.9288304Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]] 2025-08-14T21:37:09.9288544Z + [[ dynamic_cpu_inductor_timm == *timm* ]] 2025-08-14T21:37:09.9288770Z + install_torchvision 2025-08-14T21:37:09.9288959Z + local orig_preload 2025-08-14T21:37:09.9289505Z + local commit 2025-08-14T21:37:09.9289684Z ++ get_pinned_commit vision 2025-08-14T21:37:09.9289895Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:37:09.9580117Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:37:09.9580485Z + orig_preload= 2025-08-14T21:37:09.9580676Z + '[' -n '' ']' 2025-08-14T21:37:09.9580928Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:37:09.9581395Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:37:09.9581963Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:37:09.9582338Z + local wheel_dir=dist/vision 2025-08-14T21:37:09.9582534Z + local found_whl=0 2025-08-14T21:37:09.9582723Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:37:09.9583038Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:37:09.9583352Z + found_whl=1 2025-08-14T21:37:09.9583513Z + break 2025-08-14T21:37:09.9583658Z + '[' 1 == 0 ']' 2025-08-14T21:37:09.9583834Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:37:09.9584154Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:37:09.9584576Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:37:09.9585269Z + local args 2025-08-14T21:37:09.9585541Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:37:09.9585881Z + for path in "${args[@]}" 2025-08-14T21:37:09.9586193Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:37:09.9586637Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:37:09.9587092Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:37:10.2613870Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:37:10.2690667Z Installing collected packages: torchvision 2025-08-14T21:37:10.6658621Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:37:10.7085603Z + '[' -n '' ']' 2025-08-14T21:37:10.7085881Z + id=1 2025-08-14T21:37:10.7086072Z + test_dynamo_benchmark timm_models 1 2025-08-14T21:37:10.7086305Z ++ pwd 2025-08-14T21:37:10.7086570Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:37:10.7086860Z + local suite=timm_models 2025-08-14T21:37:10.7087037Z + shift 2025-08-14T21:37:10.7087190Z + local shard_id=1 2025-08-14T21:37:10.7087358Z + shift 2025-08-14T21:37:10.7087538Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:37:10.7087796Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:37:10.7088032Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:37:10.7088244Z + local dt=float32 2025-08-14T21:37:10.7088423Z + [[ dynamic_cpu_inductor_timm == *amp* ]] 2025-08-14T21:37:10.7088659Z + [[ dynamic_cpu_inductor_timm == *freezing* ]] 2025-08-14T21:37:10.7088988Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 2025-08-14T21:37:10.7093880Z ++ pwd 2025-08-14T21:37:10.7094361Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:37:10.7094732Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:37:10.7115957Z + local name=inference 2025-08-14T21:37:10.7116191Z + shift 2025-08-14T21:37:10.7116701Z + local suite=timm_models 2025-08-14T21:37:10.7116943Z + shift 2025-08-14T21:37:10.7117106Z + local shard_id=1 2025-08-14T21:37:10.7117276Z + shift 2025-08-14T21:37:10.7117427Z + partition_flags=() 2025-08-14T21:37:10.7117617Z + local partition_flags 2025-08-14T21:37:10.7117807Z + [[ -n 2 ]] 2025-08-14T21:37:10.7117957Z + [[ -n 1 ]] 2025-08-14T21:37:10.7118245Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:37:10.7118609Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:37:10.7118857Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:37:10.7119412Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]] 2025-08-14T21:37:10.7119711Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]] 2025-08-14T21:37:10.7120619Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:37:17.7856535Z 2025-08-14T21:37:17.9446504Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:37:17.9450814Z 2025-08-14T21:37:18.3178308Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-14T21:37:53.1964087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1964261Z 2025-08-14T21:37:53.1964347Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.1964601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1964977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1965313Z return mod(*inputs) 2025-08-14T21:37:53.1965652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1966037Z x = self.forward_features(x) 2025-08-14T21:37:53.1966427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1966813Z x = self.blocks(x) 2025-08-14T21:37:53.1967175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.1967555Z x = self.conv_pw(x) 2025-08-14T21:37:53.1967928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.1968326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1968728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.1969123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1969298Z 2025-08-14T21:37:53.1969382Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.1969608Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.1969856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1970233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1970588Z return mod(*inputs) 2025-08-14T21:37:53.1970954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1971314Z x = self.forward_features(x) 2025-08-14T21:37:53.1971689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1972077Z x = self.blocks(x) 2025-08-14T21:37:53.1972426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.1972797Z x = self.conv_pw(x) 2025-08-14T21:37:53.1973122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.1973480Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.1973605Z 2025-08-14T21:37:53.1973716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1974106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1974462Z return mod(*inputs) 2025-08-14T21:37:53.1974817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1975187Z x = self.forward_features(x) 2025-08-14T21:37:53.1975575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1975978Z x = self.blocks(x) 2025-08-14T21:37:53.1976338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.1976718Z x = self.bn1(x) 2025-08-14T21:37:53.1977039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.1977425Z x = self.act(x) 2025-08-14T21:37:53.1977523Z 2025-08-14T21:37:53.1977631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1978026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1978385Z return mod(*inputs) 2025-08-14T21:37:53.1978723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1979095Z x = self.forward_features(x) 2025-08-14T21:37:53.1979476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1980140Z x = self.blocks(x) 2025-08-14T21:37:53.1980495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.1980887Z x = self.conv_dw(x) 2025-08-14T21:37:53.1981233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.1981655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1982066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.1982535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1982706Z 2025-08-14T21:37:53.1982826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1983226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1983599Z return mod(*inputs) 2025-08-14T21:37:53.1983953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1984339Z x = self.forward_features(x) 2025-08-14T21:37:53.1984737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1985150Z x = self.blocks(x) 2025-08-14T21:37:53.1985517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.1985902Z x = self.conv_dw(x) 2025-08-14T21:37:53.1986251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.1986666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1987084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.1987500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1987682Z 2025-08-14T21:37:53.1987795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1988193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1988566Z return mod(*inputs) 2025-08-14T21:37:53.1988911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1989300Z x = self.forward_features(x) 2025-08-14T21:37:53.1989694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1990100Z x = self.blocks(x) 2025-08-14T21:37:53.1990463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.1990865Z x = self.conv_dw(x) 2025-08-14T21:37:53.1991207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.1991614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1992023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.1992428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.1992630Z 2025-08-14T21:37:53.1992715Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.1992942Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.1993166Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.1993411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1993781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1994130Z return mod(*inputs) 2025-08-14T21:37:53.1994470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1994826Z x = self.forward_features(x) 2025-08-14T21:37:53.1995200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1995579Z x = self.blocks(x) 2025-08-14T21:37:53.1995926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.1996293Z x = self.conv_dw(x) 2025-08-14T21:37:53.1996614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.1996971Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.1997088Z 2025-08-14T21:37:53.1997267Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.1997646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.1997979Z return mod(*inputs) 2025-08-14T21:37:53.1998309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.1998664Z x = self.forward_features(x) 2025-08-14T21:37:53.1999042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.1999424Z x = self.blocks(x) 2025-08-14T21:37:53.1999770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:53.2000145Z x = self.bn2(x) 2025-08-14T21:37:53.2000462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2000799Z x = self.act(x) 2025-08-14T21:37:53.2000900Z 2025-08-14T21:37:53.2001007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2001383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2001723Z return mod(*inputs) 2025-08-14T21:37:53.2002048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2002414Z x = self.forward_features(x) 2025-08-14T21:37:53.2002791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2003181Z x = self.blocks(x) 2025-08-14T21:37:53.2003530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2003919Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2004264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2004670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2005087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2005508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2005678Z 2025-08-14T21:37:53.2005793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2006161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2006500Z return mod(*inputs) 2025-08-14T21:37:53.2006837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2007235Z x = self.forward_features(x) 2025-08-14T21:37:53.2007606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2007985Z x = self.blocks(x) 2025-08-14T21:37:53.2008330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2008708Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2009045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2009459Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2009860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2010269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2010457Z 2025-08-14T21:37:53.2010548Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2010781Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2011026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2011495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2011846Z return mod(*inputs) 2025-08-14T21:37:53.2012177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2012559Z x = self.forward_features(x) 2025-08-14T21:37:53.2012939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2013337Z x = self.blocks(x) 2025-08-14T21:37:53.2013683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2014076Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2014424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2014792Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2014921Z 2025-08-14T21:37:53.2015031Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2015427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2015783Z return mod(*inputs) 2025-08-14T21:37:53.2016120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2016501Z x = self.forward_features(x) 2025-08-14T21:37:53.2016889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2017289Z x = self.blocks(x) 2025-08-14T21:37:53.2017635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:53.2018023Z x = self.bn3(x) 2025-08-14T21:37:53.2018341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2018691Z x = F.batch_norm( 2025-08-14T21:37:53.2018805Z 2025-08-14T21:37:53.2018915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2019325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2019816Z return mod(*inputs) 2025-08-14T21:37:53.2020216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2020601Z x = self.forward_features(x) 2025-08-14T21:37:53.2020986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2021377Z x = self.blocks(x) 2025-08-14T21:37:53.2021736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2022174Z x = self.conv_pw(x) 2025-08-14T21:37:53.2022517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2022924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2023342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2023759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2023928Z 2025-08-14T21:37:53.2024040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2024434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2024786Z return mod(*inputs) 2025-08-14T21:37:53.2025132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2025504Z x = self.forward_features(x) 2025-08-14T21:37:53.2025892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2026291Z x = self.blocks(x) 2025-08-14T21:37:53.2026682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2027067Z x = self.conv_pw(x) 2025-08-14T21:37:53.2027396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2027797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2028196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2028602Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2028772Z 2025-08-14T21:37:53.2028875Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2029112Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2029362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2029743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2030306Z return mod(*inputs) 2025-08-14T21:37:53.2030667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2031048Z x = self.forward_features(x) 2025-08-14T21:37:53.2031437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2031828Z x = self.blocks(x) 2025-08-14T21:37:53.2032198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2032598Z x = self.conv_pw(x) 2025-08-14T21:37:53.2032939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2033306Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2033435Z 2025-08-14T21:37:53.2033548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2033942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2034301Z return mod(*inputs) 2025-08-14T21:37:53.2034655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2035029Z x = self.forward_features(x) 2025-08-14T21:37:53.2035409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2035793Z x = self.blocks(x) 2025-08-14T21:37:53.2036149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2036525Z x = self.bn1(x) 2025-08-14T21:37:53.2036844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2037291Z x = self.act(x) 2025-08-14T21:37:53.2037397Z 2025-08-14T21:37:53.2037506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2037895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2038243Z return mod(*inputs) 2025-08-14T21:37:53.2038579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2038950Z x = self.forward_features(x) 2025-08-14T21:37:53.2039325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2039715Z x = self.blocks(x) 2025-08-14T21:37:53.2040069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2040452Z x = self.conv_dw(x) 2025-08-14T21:37:53.2040565Z 2025-08-14T21:37:53.2040672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2041052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2041398Z return mod(*inputs) 2025-08-14T21:37:53.2041815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2042196Z x = self.forward_features(x) 2025-08-14T21:37:53.2042583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2042970Z x = self.blocks(x) 2025-08-14T21:37:53.2043322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:53.2043699Z x = self.bn2(x) 2025-08-14T21:37:53.2044014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2044371Z x = self.act(x) 2025-08-14T21:37:53.2044470Z 2025-08-14T21:37:53.2044581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2044971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2045323Z return mod(*inputs) 2025-08-14T21:37:53.2045667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2046046Z x = self.forward_features(x) 2025-08-14T21:37:53.2046432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2046827Z x = self.blocks(x) 2025-08-14T21:37:53.2047179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2047568Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2047914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2048324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2048738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2049159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2049331Z 2025-08-14T21:37:53.2049450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2049831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2050189Z return mod(*inputs) 2025-08-14T21:37:53.2050533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2050961Z x = self.forward_features(x) 2025-08-14T21:37:53.2051346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2051796Z x = self.blocks(x) 2025-08-14T21:37:53.2052152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2052525Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2052878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2053359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2053768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2054175Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2054353Z 2025-08-14T21:37:53.2054442Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2054677Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2054927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2055318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2055679Z return mod(*inputs) 2025-08-14T21:37:53.2056017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2056415Z x = self.forward_features(x) 2025-08-14T21:37:53.2056838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2057777Z x = self.blocks(x) 2025-08-14T21:37:53.2058135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2058529Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2058880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2059262Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2059386Z 2025-08-14T21:37:53.2059501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2060046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2060411Z return mod(*inputs) 2025-08-14T21:37:53.2060749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2061140Z x = self.forward_features(x) 2025-08-14T21:37:53.2061530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2061921Z x = self.blocks(x) 2025-08-14T21:37:53.2062270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2062664Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2062805Z 2025-08-14T21:37:53.2062925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2063309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2063663Z return mod(*inputs) 2025-08-14T21:37:53.2064008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2064383Z x = self.forward_features(x) 2025-08-14T21:37:53.2064770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2065161Z x = self.blocks(x) 2025-08-14T21:37:53.2065523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2065900Z x = self.conv_pw(x) 2025-08-14T21:37:53.2066017Z 2025-08-14T21:37:53.2066129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2066514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2066860Z return mod(*inputs) 2025-08-14T21:37:53.2067194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2068516Z x = self.forward_features(x) 2025-08-14T21:37:53.2068902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2069291Z x = self.blocks(x) 2025-08-14T21:37:53.2069650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2070031Z x = self.bn1(x) 2025-08-14T21:37:53.2070351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2070702Z x = F.batch_norm( 2025-08-14T21:37:53.2070815Z 2025-08-14T21:37:53.2070922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2071307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2071683Z return mod(*inputs) 2025-08-14T21:37:53.2072020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2072401Z x = self.forward_features(x) 2025-08-14T21:37:53.2072783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2073214Z x = self.blocks(x) 2025-08-14T21:37:53.2073576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2073951Z x = self.bn1(x) 2025-08-14T21:37:53.2074258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2074599Z x = self.act(x) 2025-08-14T21:37:53.2074704Z 2025-08-14T21:37:53.2074790Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2075042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2075426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2075778Z return mod(*inputs) 2025-08-14T21:37:53.2076126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2076490Z x = self.forward_features(x) 2025-08-14T21:37:53.2076862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2077242Z x = self.blocks(x) 2025-08-14T21:37:53.2077597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2077979Z x = self.conv_dw(x) 2025-08-14T21:37:53.2078315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2078723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2079136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2079554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2079733Z 2025-08-14T21:37:53.2079819Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2080071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2080449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2080801Z return mod(*inputs) 2025-08-14T21:37:53.2081152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2081546Z x = self.forward_features(x) 2025-08-14T21:37:53.2081916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2082296Z x = self.blocks(x) 2025-08-14T21:37:53.2082651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2083058Z x = self.conv_dw(x) 2025-08-14T21:37:53.2083387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2083775Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2084175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2084562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2084732Z 2025-08-14T21:37:53.2084816Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2085069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2085429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2085769Z return mod(*inputs) 2025-08-14T21:37:53.2086102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2086469Z x = self.forward_features(x) 2025-08-14T21:37:53.2086849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2087237Z x = self.blocks(x) 2025-08-14T21:37:53.2087631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2088019Z x = self.conv_dw(x) 2025-08-14T21:37:53.2088344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2088749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2089158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2089562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2089738Z 2025-08-14T21:37:53.2089826Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2090083Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2090468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2090842Z return mod(*inputs) 2025-08-14T21:37:53.2091185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2091563Z x = self.forward_features(x) 2025-08-14T21:37:53.2091940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2092337Z x = self.blocks(x) 2025-08-14T21:37:53.2092693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2093080Z x = self.conv_dw(x) 2025-08-14T21:37:53.2093406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2093814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2094223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2094625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2094805Z 2025-08-14T21:37:53.2094891Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2095120Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2095345Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2095560Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2095814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2096200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2096562Z return mod(*inputs) 2025-08-14T21:37:53.2096901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2097322Z x = self.forward_features(x) 2025-08-14T21:37:53.2097697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2098094Z x = self.blocks(x) 2025-08-14T21:37:53.2098453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2098839Z x = self.conv_dw(x) 2025-08-14T21:37:53.2099162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2099525Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2099758Z 2025-08-14T21:37:53.2099966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2100362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2100717Z return mod(*inputs) 2025-08-14T21:37:53.2101060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2101441Z x = self.forward_features(x) 2025-08-14T21:37:53.2101819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2102257Z x = self.blocks(x) 2025-08-14T21:37:53.2102618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:53.2102987Z x = self.bn2(x) 2025-08-14T21:37:53.2103308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2103659Z x = F.batch_norm( 2025-08-14T21:37:53.2103762Z 2025-08-14T21:37:53.2103879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2104258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2104605Z return mod(*inputs) 2025-08-14T21:37:53.2104952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2105315Z x = self.forward_features(x) 2025-08-14T21:37:53.2105700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2106090Z x = self.blocks(x) 2025-08-14T21:37:53.2106436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:53.2106806Z x = self.bn2(x) 2025-08-14T21:37:53.2107121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2107468Z x = self.act(x) 2025-08-14T21:37:53.2107555Z 2025-08-14T21:37:53.2107653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2108008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2108327Z return mod(*inputs) 2025-08-14T21:37:53.2108641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2108976Z x = self.forward_features(x) 2025-08-14T21:37:53.2109345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2109721Z x = self.blocks(x) 2025-08-14T21:37:53.2110058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2110425Z x = self.se(x) 2025-08-14T21:37:53.2110761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2111138Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2111266Z 2025-08-14T21:37:53.2111372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2111754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2112147Z return mod(*inputs) 2025-08-14T21:37:53.2112471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2112830Z x = self.forward_features(x) 2025-08-14T21:37:53.2113210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2113590Z x = self.blocks(x) 2025-08-14T21:37:53.2113930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2114301Z x = self.se(x) 2025-08-14T21:37:53.2114643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2115023Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2115138Z 2025-08-14T21:37:53.2115244Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2115629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2115969Z return mod(*inputs) 2025-08-14T21:37:53.2116293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2116696Z x = self.forward_features(x) 2025-08-14T21:37:53.2117074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2117454Z x = self.blocks(x) 2025-08-14T21:37:53.2117781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2118136Z x = self.se(x) 2025-08-14T21:37:53.2118469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2118835Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2118974Z 2025-08-14T21:37:53.2119078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2119452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2119794Z return mod(*inputs) 2025-08-14T21:37:53.2120125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2120497Z x = self.forward_features(x) 2025-08-14T21:37:53.2120879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2121249Z x = self.blocks(x) 2025-08-14T21:37:53.2121589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2121956Z x = self.se(x) 2025-08-14T21:37:53.2122287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2122654Z return x * self.gate(x_se) 2025-08-14T21:37:53.2122780Z 2025-08-14T21:37:53.2122884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2123255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2123585Z return mod(*inputs) 2025-08-14T21:37:53.2123918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2124277Z x = self.forward_features(x) 2025-08-14T21:37:53.2124648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2125020Z x = self.blocks(x) 2025-08-14T21:37:53.2125363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2125730Z x = self.se(x) 2025-08-14T21:37:53.2126057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2126469Z return x * self.gate(x_se) 2025-08-14T21:37:53.2126596Z 2025-08-14T21:37:53.2126703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2127078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2127415Z return mod(*inputs) 2025-08-14T21:37:53.2127747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2128112Z x = self.forward_features(x) 2025-08-14T21:37:53.2128477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2128861Z x = self.blocks(x) 2025-08-14T21:37:53.2129207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2129581Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2129698Z 2025-08-14T21:37:53.2129804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2130355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2130712Z return mod(*inputs) 2025-08-14T21:37:53.2131130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2131497Z x = self.forward_features(x) 2025-08-14T21:37:53.2131865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2132246Z x = self.blocks(x) 2025-08-14T21:37:53.2132583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:53.2132954Z x = self.bn3(x) 2025-08-14T21:37:53.2133266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2133605Z x = F.batch_norm( 2025-08-14T21:37:53.2133720Z 2025-08-14T21:37:53.2133826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2134203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2134561Z return mod(*inputs) 2025-08-14T21:37:53.2134943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2135307Z x = self.forward_features(x) 2025-08-14T21:37:53.2135683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2136052Z x = self.blocks(x) 2025-08-14T21:37:53.2136396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2136769Z x = self.conv_pw(x) 2025-08-14T21:37:53.2137094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2137488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2137887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2138290Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2138463Z 2025-08-14T21:37:53.2138575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2138942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2139278Z return mod(*inputs) 2025-08-14T21:37:53.2139660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2140045Z x = self.forward_features(x) 2025-08-14T21:37:53.2140426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2140880Z x = self.blocks(x) 2025-08-14T21:37:53.2141245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2141613Z x = self.conv_pw(x) 2025-08-14T21:37:53.2141945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2142336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2142726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2143122Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2143294Z 2025-08-14T21:37:53.2143380Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2143609Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2143849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2144229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2144574Z return mod(*inputs) 2025-08-14T21:37:53.2144898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2145267Z x = self.forward_features(x) 2025-08-14T21:37:53.2145684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2146067Z x = self.blocks(x) 2025-08-14T21:37:53.2146406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2146778Z x = self.conv_pw(x) 2025-08-14T21:37:53.2147106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2147452Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2147576Z 2025-08-14T21:37:53.2147683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2148072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2148413Z return mod(*inputs) 2025-08-14T21:37:53.2148739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2149108Z x = self.forward_features(x) 2025-08-14T21:37:53.2149479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2149849Z x = self.blocks(x) 2025-08-14T21:37:53.2150189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2150538Z x = self.bn1(x) 2025-08-14T21:37:53.2150833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2151144Z x = F.batch_norm( 2025-08-14T21:37:53.2151249Z 2025-08-14T21:37:53.2151354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2151734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2152064Z return mod(*inputs) 2025-08-14T21:37:53.2152397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2152757Z x = self.forward_features(x) 2025-08-14T21:37:53.2153126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2153494Z x = self.blocks(x) 2025-08-14T21:37:53.2153835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2154205Z x = self.bn1(x) 2025-08-14T21:37:53.2154505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2154840Z x = self.act(x) 2025-08-14T21:37:53.2154985Z 2025-08-14T21:37:53.2155069Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2155320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2155684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2156024Z return mod(*inputs) 2025-08-14T21:37:53.2156364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2156700Z x = self.forward_features(x) 2025-08-14T21:37:53.2157049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2157405Z x = self.blocks(x) 2025-08-14T21:37:53.2157744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2158107Z x = self.conv_dw(x) 2025-08-14T21:37:53.2158430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2158825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2159219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2159681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2159849Z 2025-08-14T21:37:53.2159928Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2160252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2160604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2160932Z return mod(*inputs) 2025-08-14T21:37:53.2161251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2161608Z x = self.forward_features(x) 2025-08-14T21:37:53.2161987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2162382Z x = self.blocks(x) 2025-08-14T21:37:53.2162737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2163109Z x = self.conv_dw(x) 2025-08-14T21:37:53.2163446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2163849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2164242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2164704Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2164870Z 2025-08-14T21:37:53.2164948Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2165159Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2165387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2165747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2166083Z return mod(*inputs) 2025-08-14T21:37:53.2166414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2166789Z x = self.forward_features(x) 2025-08-14T21:37:53.2167193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2167579Z x = self.blocks(x) 2025-08-14T21:37:53.2167921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2168294Z x = self.conv_dw(x) 2025-08-14T21:37:53.2168622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2168977Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2169103Z 2025-08-14T21:37:53.2169232Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2169481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2169861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2170197Z return mod(*inputs) 2025-08-14T21:37:53.2170531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2170896Z x = self.forward_features(x) 2025-08-14T21:37:53.2171262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2171644Z x = self.blocks(x) 2025-08-14T21:37:53.2171989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2172359Z x = self.se(x) 2025-08-14T21:37:53.2172688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2173076Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2173215Z 2025-08-14T21:37:53.2173331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2173705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2174091Z return mod(*inputs) 2025-08-14T21:37:53.2174430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2174808Z x = self.forward_features(x) 2025-08-14T21:37:53.2175182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2175579Z x = self.blocks(x) 2025-08-14T21:37:53.2175924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2176285Z x = self.se(x) 2025-08-14T21:37:53.2176627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2177007Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2177138Z 2025-08-14T21:37:53.2177253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2177637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2177990Z return mod(*inputs) 2025-08-14T21:37:53.2178330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2178704Z x = self.forward_features(x) 2025-08-14T21:37:53.2179080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2179471Z x = self.blocks(x) 2025-08-14T21:37:53.2179895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2180284Z x = self.se(x) 2025-08-14T21:37:53.2180635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2181022Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2181140Z 2025-08-14T21:37:53.2181258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2181648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2182000Z return mod(*inputs) 2025-08-14T21:37:53.2182350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2182709Z x = self.forward_features(x) 2025-08-14T21:37:53.2183086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2183465Z x = self.blocks(x) 2025-08-14T21:37:53.2183807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2184218Z x = self.se(x) 2025-08-14T21:37:53.2184552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2184935Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2185067Z 2025-08-14T21:37:53.2185178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2185555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2185892Z return mod(*inputs) 2025-08-14T21:37:53.2186226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2186583Z x = self.forward_features(x) 2025-08-14T21:37:53.2186957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2187333Z x = self.blocks(x) 2025-08-14T21:37:53.2187674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2188040Z x = self.se(x) 2025-08-14T21:37:53.2188377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2188798Z return x * self.gate(x_se) 2025-08-14T21:37:53.2188922Z 2025-08-14T21:37:53.2189027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2189407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2189748Z return mod(*inputs) 2025-08-14T21:37:53.2190106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2190473Z x = self.forward_features(x) 2025-08-14T21:37:53.2190852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2191238Z x = self.blocks(x) 2025-08-14T21:37:53.2191580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2191955Z x = self.se(x) 2025-08-14T21:37:53.2192296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2192666Z return x * self.gate(x_se) 2025-08-14T21:37:53.2192797Z 2025-08-14T21:37:53.2192879Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2193130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2193508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2193844Z return mod(*inputs) 2025-08-14T21:37:53.2194177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2194544Z x = self.forward_features(x) 2025-08-14T21:37:53.2194916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2195298Z x = self.blocks(x) 2025-08-14T21:37:53.2195641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2196019Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2196348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2196745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2197147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2197541Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2197715Z 2025-08-14T21:37:53.2197797Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2198045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2198464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2198802Z return mod(*inputs) 2025-08-14T21:37:53.2199136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2199503Z x = self.forward_features(x) 2025-08-14T21:37:53.2199864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2200239Z x = self.blocks(x) 2025-08-14T21:37:53.2200585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2200958Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2201283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2201675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2202075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2202464Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2202636Z 2025-08-14T21:37:53.2202720Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2202979Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2203228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2203591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2203932Z return mod(*inputs) 2025-08-14T21:37:53.2204262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2204615Z x = self.forward_features(x) 2025-08-14T21:37:53.2204986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2205365Z x = self.blocks(x) 2025-08-14T21:37:53.2205710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2206081Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2206399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2206736Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2206848Z 2025-08-14T21:37:53.2206949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2207303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2207622Z return mod(*inputs) 2025-08-14T21:37:53.2207934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2208270Z x = self.forward_features(x) 2025-08-14T21:37:53.2208621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2208987Z x = self.blocks(x) 2025-08-14T21:37:53.2209321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2209704Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2209847Z 2025-08-14T21:37:53.2209955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2210327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2210662Z return mod(*inputs) 2025-08-14T21:37:53.2210995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2211356Z x = self.forward_features(x) 2025-08-14T21:37:53.2211727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2212097Z x = self.blocks(x) 2025-08-14T21:37:53.2212510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2212894Z x = self.conv_pw(x) 2025-08-14T21:37:53.2213194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2213569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2213952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2214353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2214517Z 2025-08-14T21:37:53.2214627Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2215006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2215350Z return mod(*inputs) 2025-08-14T21:37:53.2215673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2216037Z x = self.forward_features(x) 2025-08-14T21:37:53.2216407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2216787Z x = self.blocks(x) 2025-08-14T21:37:53.2217174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2217549Z x = self.conv_pw(x) 2025-08-14T21:37:53.2217873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2218256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2218659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2219061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2219229Z 2025-08-14T21:37:53.2219321Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2219536Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2219874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2220262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2220603Z return mod(*inputs) 2025-08-14T21:37:53.2220948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2221322Z x = self.forward_features(x) 2025-08-14T21:37:53.2221705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2222086Z x = self.blocks(x) 2025-08-14T21:37:53.2222437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2222821Z x = self.conv_pw(x) 2025-08-14T21:37:53.2223153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2223520Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2223646Z 2025-08-14T21:37:53.2223754Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2224137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2224474Z return mod(*inputs) 2025-08-14T21:37:53.2224813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2225181Z x = self.forward_features(x) 2025-08-14T21:37:53.2225556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2225943Z x = self.blocks(x) 2025-08-14T21:37:53.2226295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2226721Z x = self.bn1(x) 2025-08-14T21:37:53.2227030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2227382Z x = F.batch_norm( 2025-08-14T21:37:53.2227486Z 2025-08-14T21:37:53.2227600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2227972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2228317Z return mod(*inputs) 2025-08-14T21:37:53.2228651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2229021Z x = self.forward_features(x) 2025-08-14T21:37:53.2229391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2229771Z x = self.blocks(x) 2025-08-14T21:37:53.2230309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2230691Z x = self.bn1(x) 2025-08-14T21:37:53.2231006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2231346Z x = self.act(x) 2025-08-14T21:37:53.2231444Z 2025-08-14T21:37:53.2231629Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2231874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2232251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2232592Z return mod(*inputs) 2025-08-14T21:37:53.2232924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2233274Z x = self.forward_features(x) 2025-08-14T21:37:53.2233627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2233990Z x = self.blocks(x) 2025-08-14T21:37:53.2234332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2234703Z x = self.conv_dw(x) 2025-08-14T21:37:53.2235036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2235422Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2235819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2236217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2236384Z 2025-08-14T21:37:53.2236476Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2236714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2237086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2237426Z return mod(*inputs) 2025-08-14T21:37:53.2237749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2238107Z x = self.forward_features(x) 2025-08-14T21:37:53.2238462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2238820Z x = self.blocks(x) 2025-08-14T21:37:53.2239140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2239491Z x = self.conv_dw(x) 2025-08-14T21:37:53.2239799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2240167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2240537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2240988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2241144Z 2025-08-14T21:37:53.2241231Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2241442Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2241690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2242070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2242413Z return mod(*inputs) 2025-08-14T21:37:53.2242751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2243104Z x = self.forward_features(x) 2025-08-14T21:37:53.2243465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2243826Z x = self.blocks(x) 2025-08-14T21:37:53.2244160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2244523Z x = self.conv_dw(x) 2025-08-14T21:37:53.2244836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2245167Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2245285Z 2025-08-14T21:37:53.2245413Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2245646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2245993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2246315Z return mod(*inputs) 2025-08-14T21:37:53.2246629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2246971Z x = self.forward_features(x) 2025-08-14T21:37:53.2247313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2247668Z x = self.blocks(x) 2025-08-14T21:37:53.2247995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2248333Z x = self.se(x) 2025-08-14T21:37:53.2248651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2249015Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2249145Z 2025-08-14T21:37:53.2249253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2249600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2249921Z return mod(*inputs) 2025-08-14T21:37:53.2250232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2250566Z x = self.forward_features(x) 2025-08-14T21:37:53.2250914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2251274Z x = self.blocks(x) 2025-08-14T21:37:53.2251600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2251942Z x = self.se(x) 2025-08-14T21:37:53.2252260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2252615Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2252734Z 2025-08-14T21:37:53.2252835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2253186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2253506Z return mod(*inputs) 2025-08-14T21:37:53.2253815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2254149Z x = self.forward_features(x) 2025-08-14T21:37:53.2254496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2254897Z x = self.blocks(x) 2025-08-14T21:37:53.2255216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2255565Z x = self.se(x) 2025-08-14T21:37:53.2255890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2256242Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2256351Z 2025-08-14T21:37:53.2256452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2256812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2257154Z return mod(*inputs) 2025-08-14T21:37:53.2257482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2257849Z x = self.forward_features(x) 2025-08-14T21:37:53.2258227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2258608Z x = self.blocks(x) 2025-08-14T21:37:53.2258982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2259353Z x = self.se(x) 2025-08-14T21:37:53.2259755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2260133Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2260270Z 2025-08-14T21:37:53.2260377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2260757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2261102Z return mod(*inputs) 2025-08-14T21:37:53.2261439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2261810Z x = self.forward_features(x) 2025-08-14T21:37:53.2262181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2262555Z x = self.blocks(x) 2025-08-14T21:37:53.2262903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2263271Z x = self.se(x) 2025-08-14T21:37:53.2263603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2263973Z return x * self.gate(x_se) 2025-08-14T21:37:53.2264101Z 2025-08-14T21:37:53.2264209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2264586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2264923Z return mod(*inputs) 2025-08-14T21:37:53.2265252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2265619Z x = self.forward_features(x) 2025-08-14T21:37:53.2265986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2266357Z x = self.blocks(x) 2025-08-14T21:37:53.2266700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2267064Z x = self.se(x) 2025-08-14T21:37:53.2267388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2267760Z return x * self.gate(x_se) 2025-08-14T21:37:53.2267885Z 2025-08-14T21:37:53.2267968Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2268215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2268579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2268975Z return mod(*inputs) 2025-08-14T21:37:53.2269311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2269670Z x = self.forward_features(x) 2025-08-14T21:37:53.2270048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2270428Z x = self.blocks(x) 2025-08-14T21:37:53.2270769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2271134Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2271467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2271917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2272311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2272716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2272888Z 2025-08-14T21:37:53.2272974Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2273227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2273630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2273975Z return mod(*inputs) 2025-08-14T21:37:53.2274310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2274700Z x = self.forward_features(x) 2025-08-14T21:37:53.2275038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2275387Z x = self.blocks(x) 2025-08-14T21:37:53.2275702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2276043Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2276357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2276718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2277089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2277457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2277615Z 2025-08-14T21:37:53.2277693Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2277900Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2278117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2278462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2278776Z return mod(*inputs) 2025-08-14T21:37:53.2279091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2279432Z x = self.forward_features(x) 2025-08-14T21:37:53.2279805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2280188Z x = self.blocks(x) 2025-08-14T21:37:53.2280525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2280901Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2281235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2281592Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2281704Z 2025-08-14T21:37:53.2281804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2282160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2282480Z return mod(*inputs) 2025-08-14T21:37:53.2282847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2283211Z x = self.forward_features(x) 2025-08-14T21:37:53.2283582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2283959Z x = self.blocks(x) 2025-08-14T21:37:53.2284296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2284670Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2284803Z 2025-08-14T21:37:53.2284917Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2285282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2285623Z return mod(*inputs) 2025-08-14T21:37:53.2285963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2286304Z x = self.forward_features(x) 2025-08-14T21:37:53.2286648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2287006Z x = self.blocks(x) 2025-08-14T21:37:53.2287385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2287729Z x = self.conv_pw(x) 2025-08-14T21:37:53.2288035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2288402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2288779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2289147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2289309Z 2025-08-14T21:37:53.2289413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2289782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2290120Z return mod(*inputs) 2025-08-14T21:37:53.2290445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2290808Z x = self.forward_features(x) 2025-08-14T21:37:53.2291179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2291600Z x = self.blocks(x) 2025-08-14T21:37:53.2291946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2292314Z x = self.conv_pw(x) 2025-08-14T21:37:53.2292629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2293017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2293419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2293822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2293988Z 2025-08-14T21:37:53.2294076Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2294303Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2294556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2294942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2295275Z return mod(*inputs) 2025-08-14T21:37:53.2295606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2295969Z x = self.forward_features(x) 2025-08-14T21:37:53.2296332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2296758Z x = self.blocks(x) 2025-08-14T21:37:53.2297104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2297475Z x = self.conv_pw(x) 2025-08-14T21:37:53.2297795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2298148Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2298265Z 2025-08-14T21:37:53.2298379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2298745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2299087Z return mod(*inputs) 2025-08-14T21:37:53.2299418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2299865Z x = self.forward_features(x) 2025-08-14T21:37:53.2300244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2300644Z x = self.blocks(x) 2025-08-14T21:37:53.2301004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2301368Z x = self.bn1(x) 2025-08-14T21:37:53.2301622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2301692Z x = F.batch_norm( 2025-08-14T21:37:53.2301696Z 2025-08-14T21:37:53.2301811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2302004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2302069Z return mod(*inputs) 2025-08-14T21:37:53.2302286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2302354Z x = self.forward_features(x) 2025-08-14T21:37:53.2302602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2302674Z x = self.blocks(x) 2025-08-14T21:37:53.2302908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2302983Z x = self.bn1(x) 2025-08-14T21:37:53.2303194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2303257Z x = self.act(x) 2025-08-14T21:37:53.2303261Z 2025-08-14T21:37:53.2303351Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2303457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2303660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2303735Z return mod(*inputs) 2025-08-14T21:37:53.2303953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2304035Z x = self.forward_features(x) 2025-08-14T21:37:53.2304277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2304343Z x = self.blocks(x) 2025-08-14T21:37:53.2304587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2304655Z x = self.conv_dw(x) 2025-08-14T21:37:53.2304869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2304985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2305210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2305325Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2305329Z 2025-08-14T21:37:53.2305455Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2305560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2305775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2305844Z return mod(*inputs) 2025-08-14T21:37:53.2306065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2306145Z x = self.forward_features(x) 2025-08-14T21:37:53.2306393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2306460Z x = self.blocks(x) 2025-08-14T21:37:53.2306684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2306748Z x = self.conv_dw(x) 2025-08-14T21:37:53.2306959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2307064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2307284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2307418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2307422Z 2025-08-14T21:37:53.2307501Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2307587Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2307687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2307882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2307956Z return mod(*inputs) 2025-08-14T21:37:53.2308164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2308239Z x = self.forward_features(x) 2025-08-14T21:37:53.2308472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2308535Z x = self.blocks(x) 2025-08-14T21:37:53.2308763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2308833Z x = self.conv_dw(x) 2025-08-14T21:37:53.2309047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2309125Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2309129Z 2025-08-14T21:37:53.2309209Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2309320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2309524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2309591Z return mod(*inputs) 2025-08-14T21:37:53.2309819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2309893Z x = self.forward_features(x) 2025-08-14T21:37:53.2310144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2310214Z x = self.blocks(x) 2025-08-14T21:37:53.2310440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2310509Z x = self.se(x) 2025-08-14T21:37:53.2310732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2310806Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2310810Z 2025-08-14T21:37:53.2310917Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2311107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2311174Z return mod(*inputs) 2025-08-14T21:37:53.2311453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2311525Z x = self.forward_features(x) 2025-08-14T21:37:53.2311777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2311845Z x = self.blocks(x) 2025-08-14T21:37:53.2312079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2312150Z x = self.se(x) 2025-08-14T21:37:53.2312380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2312456Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2312468Z 2025-08-14T21:37:53.2312572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2312776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2312855Z return mod(*inputs) 2025-08-14T21:37:53.2313074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2313146Z x = self.forward_features(x) 2025-08-14T21:37:53.2313437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2313504Z x = self.blocks(x) 2025-08-14T21:37:53.2313749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2313812Z x = self.se(x) 2025-08-14T21:37:53.2314049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2314129Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2314133Z 2025-08-14T21:37:53.2314236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2314439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2314518Z return mod(*inputs) 2025-08-14T21:37:53.2314735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2314815Z x = self.forward_features(x) 2025-08-14T21:37:53.2315062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2315127Z x = self.blocks(x) 2025-08-14T21:37:53.2315369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2315431Z x = self.se(x) 2025-08-14T21:37:53.2315664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2315747Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2315751Z 2025-08-14T21:37:53.2315855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2316070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2316138Z return mod(*inputs) 2025-08-14T21:37:53.2316355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2316436Z x = self.forward_features(x) 2025-08-14T21:37:53.2316680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2316747Z x = self.blocks(x) 2025-08-14T21:37:53.2316988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2317052Z x = self.se(x) 2025-08-14T21:37:53.2317292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2317364Z return x * self.gate(x_se) 2025-08-14T21:37:53.2317407Z 2025-08-14T21:37:53.2317510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2317724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2317792Z return mod(*inputs) 2025-08-14T21:37:53.2318020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2318092Z x = self.forward_features(x) 2025-08-14T21:37:53.2318334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2318407Z x = self.blocks(x) 2025-08-14T21:37:53.2318639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2318701Z x = self.se(x) 2025-08-14T21:37:53.2318936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2319013Z return x * self.gate(x_se) 2025-08-14T21:37:53.2319017Z 2025-08-14T21:37:53.2319106Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2319210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2319412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2319523Z return mod(*inputs) 2025-08-14T21:37:53.2319744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2319816Z x = self.forward_features(x) 2025-08-14T21:37:53.2320066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2320132Z x = self.blocks(x) 2025-08-14T21:37:53.2320372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2320443Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2320659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2320775Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2321002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2321113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2321125Z 2025-08-14T21:37:53.2321206Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2321308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2321520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2321588Z return mod(*inputs) 2025-08-14T21:37:53.2321806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2321885Z x = self.forward_features(x) 2025-08-14T21:37:53.2322129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2322193Z x = self.blocks(x) 2025-08-14T21:37:53.2322432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2322503Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2322724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2322832Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2323053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2323167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2323170Z 2025-08-14T21:37:53.2323252Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2323341Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2323490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2323700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2323778Z return mod(*inputs) 2025-08-14T21:37:53.2324014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2324086Z x = self.forward_features(x) 2025-08-14T21:37:53.2324336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2324400Z x = self.blocks(x) 2025-08-14T21:37:53.2324646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2324716Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2324937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2325017Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2325021Z 2025-08-14T21:37:53.2325128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2325344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2325420Z return mod(*inputs) 2025-08-14T21:37:53.2325678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2325759Z x = self.forward_features(x) 2025-08-14T21:37:53.2326003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2326069Z x = self.blocks(x) 2025-08-14T21:37:53.2326314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2326390Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2326393Z 2025-08-14T21:37:53.2326497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2326714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2326782Z return mod(*inputs) 2025-08-14T21:37:53.2327009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2327083Z x = self.forward_features(x) 2025-08-14T21:37:53.2327325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2327397Z x = self.blocks(x) 2025-08-14T21:37:53.2327631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2327699Z x = self.conv_pw(x) 2025-08-14T21:37:53.2327709Z 2025-08-14T21:37:53.2327812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2328016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2328095Z return mod(*inputs) 2025-08-14T21:37:53.2328313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2328382Z x = self.forward_features(x) 2025-08-14T21:37:53.2328635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2328700Z x = self.blocks(x) 2025-08-14T21:37:53.2328943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2329005Z x = self.bn1(x) 2025-08-14T21:37:53.2329213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2329286Z x = F.batch_norm( 2025-08-14T21:37:53.2329289Z 2025-08-14T21:37:53.2329393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2329595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2329711Z return mod(*inputs) 2025-08-14T21:37:53.2329930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2330218Z x = self.forward_features(x) 2025-08-14T21:37:53.2330477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2330542Z x = self.blocks(x) 2025-08-14T21:37:53.2330785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2330850Z x = self.bn1(x) 2025-08-14T21:37:53.2331057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2331132Z x = self.act(x) 2025-08-14T21:37:53.2331136Z 2025-08-14T21:37:53.2331220Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2331337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2331540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2331610Z return mod(*inputs) 2025-08-14T21:37:53.2331941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2332016Z x = self.forward_features(x) 2025-08-14T21:37:53.2332264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2332338Z x = self.blocks(x) 2025-08-14T21:37:53.2332573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2332648Z x = self.conv_dw(x) 2025-08-14T21:37:53.2332866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2332976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2333215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2333323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2333326Z 2025-08-14T21:37:53.2333419Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2333524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2333732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2333810Z return mod(*inputs) 2025-08-14T21:37:53.2334042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2334114Z x = self.forward_features(x) 2025-08-14T21:37:53.2334404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2334469Z x = self.blocks(x) 2025-08-14T21:37:53.2334709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2334784Z x = self.conv_dw(x) 2025-08-14T21:37:53.2335005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2335123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2335351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2335456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2335460Z 2025-08-14T21:37:53.2335551Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2335664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2335879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2336009Z return mod(*inputs) 2025-08-14T21:37:53.2336229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2336307Z x = self.forward_features(x) 2025-08-14T21:37:53.2336555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2336620Z x = self.blocks(x) 2025-08-14T21:37:53.2336864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2336932Z x = self.conv_dw(x) 2025-08-14T21:37:53.2337153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2337259Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2337483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2337600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2337603Z 2025-08-14T21:37:53.2337685Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2337766Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2337851Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2337990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2338205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2338272Z return mod(*inputs) 2025-08-14T21:37:53.2338493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2338575Z x = self.forward_features(x) 2025-08-14T21:37:53.2338818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2338884Z x = self.blocks(x) 2025-08-14T21:37:53.2339127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2339195Z x = self.conv_dw(x) 2025-08-14T21:37:53.2339417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2339489Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2339496Z 2025-08-14T21:37:53.2339579Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2339748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2339971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2340042Z return mod(*inputs) 2025-08-14T21:37:53.2340275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2340349Z x = self.forward_features(x) 2025-08-14T21:37:53.2340609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2340679Z x = self.blocks(x) 2025-08-14T21:37:53.2340970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2341050Z x = self.se(x) 2025-08-14T21:37:53.2341274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2341347Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2341357Z 2025-08-14T21:37:53.2341457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2341650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2341721Z return mod(*inputs) 2025-08-14T21:37:53.2341928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2341997Z x = self.forward_features(x) 2025-08-14T21:37:53.2342234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2342343Z x = self.blocks(x) 2025-08-14T21:37:53.2342582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2342720Z x = self.se(x) 2025-08-14T21:37:53.2342978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2343115Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2343119Z 2025-08-14T21:37:53.2343257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2343477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2343839Z return mod(*inputs) 2025-08-14T21:37:53.2344089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2344180Z x = self.forward_features(x) 2025-08-14T21:37:53.2344477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2344565Z x = self.blocks(x) 2025-08-14T21:37:53.2344861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2345004Z x = self.se(x) 2025-08-14T21:37:53.2345270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2345406Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2345410Z 2025-08-14T21:37:53.2345538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2345767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2345878Z return mod(*inputs) 2025-08-14T21:37:53.2346155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2346293Z x = self.forward_features(x) 2025-08-14T21:37:53.2346543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2346628Z x = self.blocks(x) 2025-08-14T21:37:53.2346904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2346975Z x = self.se(x) 2025-08-14T21:37:53.2347234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2347382Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2347386Z 2025-08-14T21:37:53.2347507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2347751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2347841Z return mod(*inputs) 2025-08-14T21:37:53.2348060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2348215Z x = self.forward_features(x) 2025-08-14T21:37:53.2348465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2348583Z x = self.blocks(x) 2025-08-14T21:37:53.2348838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2348923Z x = self.se(x) 2025-08-14T21:37:53.2349234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2349347Z return x * self.gate(x_se) 2025-08-14T21:37:53.2349351Z 2025-08-14T21:37:53.2349499Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2349716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2349840Z return mod(*inputs) 2025-08-14T21:37:53.2350087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2350207Z x = self.forward_features(x) 2025-08-14T21:37:53.2350487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2350609Z x = self.blocks(x) 2025-08-14T21:37:53.2350876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2350993Z x = self.se(x) 2025-08-14T21:37:53.2351241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2351362Z return x * self.gate(x_se) 2025-08-14T21:37:53.2351367Z 2025-08-14T21:37:53.2351547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2351762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2351853Z return mod(*inputs) 2025-08-14T21:37:53.2352119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2352196Z x = self.forward_features(x) 2025-08-14T21:37:53.2352550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2352637Z x = self.blocks(x) 2025-08-14T21:37:53.2352894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2353034Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2353039Z 2025-08-14T21:37:53.2353168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2353429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2376340Z return mod(*inputs) 2025-08-14T21:37:53.2376815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2376906Z x = self.forward_features(x) 2025-08-14T21:37:53.2377194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2377279Z x = self.blocks(x) 2025-08-14T21:37:53.2377529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:53.2377604Z x = self.bn3(x) 2025-08-14T21:37:53.2377823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2377902Z x = F.batch_norm( 2025-08-14T21:37:53.2377911Z 2025-08-14T21:37:53.2378035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2378256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2378344Z return mod(*inputs) 2025-08-14T21:37:53.2378574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2378654Z x = self.forward_features(x) 2025-08-14T21:37:53.2378923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2378993Z x = self.blocks(x) 2025-08-14T21:37:53.2379242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2379314Z x = self.conv_pw(x) 2025-08-14T21:37:53.2379536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2379766Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2380007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2380269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2380282Z 2025-08-14T21:37:53.2380396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2380618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2380702Z return mod(*inputs) 2025-08-14T21:37:53.2380930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2381004Z x = self.forward_features(x) 2025-08-14T21:37:53.2381267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2381333Z x = self.blocks(x) 2025-08-14T21:37:53.2381584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2381653Z x = self.conv_pw(x) 2025-08-14T21:37:53.2381872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2381997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2382232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2382397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2382402Z 2025-08-14T21:37:53.2382503Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2382584Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2382700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2382911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2382983Z return mod(*inputs) 2025-08-14T21:37:53.2383214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2383287Z x = self.forward_features(x) 2025-08-14T21:37:53.2383535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2383608Z x = self.blocks(x) 2025-08-14T21:37:53.2383850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2383925Z x = self.conv_pw(x) 2025-08-14T21:37:53.2384139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2384213Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2384217Z 2025-08-14T21:37:53.2384337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2384548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2384619Z return mod(*inputs) 2025-08-14T21:37:53.2384850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2384926Z x = self.forward_features(x) 2025-08-14T21:37:53.2385180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2385247Z x = self.blocks(x) 2025-08-14T21:37:53.2385487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2385565Z x = self.bn1(x) 2025-08-14T21:37:53.2385778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2385845Z x = F.batch_norm( 2025-08-14T21:37:53.2385857Z 2025-08-14T21:37:53.2385963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2386170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2386247Z return mod(*inputs) 2025-08-14T21:37:53.2386468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2386605Z x = self.forward_features(x) 2025-08-14T21:37:53.2386861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2386926Z x = self.blocks(x) 2025-08-14T21:37:53.2387178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2387240Z x = self.bn1(x) 2025-08-14T21:37:53.2387438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2387505Z x = self.act(x) 2025-08-14T21:37:53.2387509Z 2025-08-14T21:37:53.2387589Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2387690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2387903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2387970Z return mod(*inputs) 2025-08-14T21:37:53.2388180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2388247Z x = self.forward_features(x) 2025-08-14T21:37:53.2388504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2388573Z x = self.blocks(x) 2025-08-14T21:37:53.2388791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2388854Z x = self.conv_dw(x) 2025-08-14T21:37:53.2389063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2389167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2389384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2389489Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2389493Z 2025-08-14T21:37:53.2389569Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2389677Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2389877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2389942Z return mod(*inputs) 2025-08-14T21:37:53.2390160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2390229Z x = self.forward_features(x) 2025-08-14T21:37:53.2390466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2390529Z x = self.blocks(x) 2025-08-14T21:37:53.2390750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2390821Z x = self.conv_dw(x) 2025-08-14T21:37:53.2391042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2391151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2391386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2391502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2391506Z 2025-08-14T21:37:53.2391591Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2391694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2391889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2391962Z return mod(*inputs) 2025-08-14T21:37:53.2392172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2392247Z x = self.forward_features(x) 2025-08-14T21:37:53.2392513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2392575Z x = self.blocks(x) 2025-08-14T21:37:53.2392817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2392883Z x = self.conv_dw(x) 2025-08-14T21:37:53.2393099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2393212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2393442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2393546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2393549Z 2025-08-14T21:37:53.2393629Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2393730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2393937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2394001Z return mod(*inputs) 2025-08-14T21:37:53.2394245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2394326Z x = self.forward_features(x) 2025-08-14T21:37:53.2394555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2394625Z x = self.blocks(x) 2025-08-14T21:37:53.2394847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2394910Z x = self.conv_dw(x) 2025-08-14T21:37:53.2395119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2395221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2395432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2395538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2395541Z 2025-08-14T21:37:53.2395625Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2395711Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2395786Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2395862Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2395972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2396164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2396231Z return mod(*inputs) 2025-08-14T21:37:53.2396446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2396513Z x = self.forward_features(x) 2025-08-14T21:37:53.2396753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2396815Z x = self.blocks(x) 2025-08-14T21:37:53.2397039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2397111Z x = self.conv_dw(x) 2025-08-14T21:37:53.2397314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2397383Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2397396Z 2025-08-14T21:37:53.2397471Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2397570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2397774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2397843Z return mod(*inputs) 2025-08-14T21:37:53.2398063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2398179Z x = self.forward_features(x) 2025-08-14T21:37:53.2398429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2398494Z x = self.blocks(x) 2025-08-14T21:37:53.2398744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2398809Z x = self.se(x) 2025-08-14T21:37:53.2399065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2399139Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2399143Z 2025-08-14T21:37:53.2399242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2399446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2399510Z return mod(*inputs) 2025-08-14T21:37:53.2399729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2399799Z x = self.forward_features(x) 2025-08-14T21:37:53.2400081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2400156Z x = self.blocks(x) 2025-08-14T21:37:53.2400381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2400441Z x = self.se(x) 2025-08-14T21:37:53.2400672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2400744Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2400748Z 2025-08-14T21:37:53.2400860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2401066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2401139Z return mod(*inputs) 2025-08-14T21:37:53.2401371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2401444Z x = self.forward_features(x) 2025-08-14T21:37:53.2401690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2401763Z x = self.blocks(x) 2025-08-14T21:37:53.2402000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2402067Z x = self.se(x) 2025-08-14T21:37:53.2402299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2402386Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2402390Z 2025-08-14T21:37:53.2402495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2402702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2402779Z return mod(*inputs) 2025-08-14T21:37:53.2403000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2403074Z x = self.forward_features(x) 2025-08-14T21:37:53.2403327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2403392Z x = self.blocks(x) 2025-08-14T21:37:53.2403634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2403698Z x = self.se(x) 2025-08-14T21:37:53.2403930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2404014Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2404018Z 2025-08-14T21:37:53.2404159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2404363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2404440Z return mod(*inputs) 2025-08-14T21:37:53.2404659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2404738Z x = self.forward_features(x) 2025-08-14T21:37:53.2404979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2405045Z x = self.blocks(x) 2025-08-14T21:37:53.2405287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2405349Z x = self.se(x) 2025-08-14T21:37:53.2405578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2405661Z return x * self.gate(x_se) 2025-08-14T21:37:53.2405667Z 2025-08-14T21:37:53.2405772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2405982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2406049Z return mod(*inputs) 2025-08-14T21:37:53.2406309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2406390Z x = self.forward_features(x) 2025-08-14T21:37:53.2406636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2406711Z x = self.blocks(x) 2025-08-14T21:37:53.2406946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2407008Z x = self.se(x) 2025-08-14T21:37:53.2407249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2407324Z return x * self.gate(x_se) 2025-08-14T21:37:53.2407328Z 2025-08-14T21:37:53.2407409Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2407522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2407733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2407807Z return mod(*inputs) 2025-08-14T21:37:53.2408027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2408098Z x = self.forward_features(x) 2025-08-14T21:37:53.2408348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2408414Z x = self.blocks(x) 2025-08-14T21:37:53.2408649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2408730Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2408949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2409065Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2409296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2409404Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2409408Z 2025-08-14T21:37:53.2409500Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2409606Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2409811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2409887Z return mod(*inputs) 2025-08-14T21:37:53.2410108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2410187Z x = self.forward_features(x) 2025-08-14T21:37:53.2410467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2410531Z x = self.blocks(x) 2025-08-14T21:37:53.2410778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2410849Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2411065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2411180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2411404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2411517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2411521Z 2025-08-14T21:37:53.2411602Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2411685Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2411802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2412008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2412082Z return mod(*inputs) 2025-08-14T21:37:53.2412334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2412408Z x = self.forward_features(x) 2025-08-14T21:37:53.2412661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2412725Z x = self.blocks(x) 2025-08-14T21:37:53.2412962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2413040Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2413257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2413336Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2413340Z 2025-08-14T21:37:53.2413444Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2413651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2413728Z return mod(*inputs) 2025-08-14T21:37:53.2413948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2414017Z x = self.forward_features(x) 2025-08-14T21:37:53.2414270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2414337Z x = self.blocks(x) 2025-08-14T21:37:53.2414585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2414664Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2414667Z 2025-08-14T21:37:53.2414780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2414998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2415068Z return mod(*inputs) 2025-08-14T21:37:53.2415305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2415384Z x = self.forward_features(x) 2025-08-14T21:37:53.2415641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2415716Z x = self.blocks(x) 2025-08-14T21:37:53.2415961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2416032Z x = self.conv_pw(x) 2025-08-14T21:37:53.2416262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2416375Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2416642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2416759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2416763Z 2025-08-14T21:37:53.2416874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2417092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2417162Z return mod(*inputs) 2025-08-14T21:37:53.2417396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2417478Z x = self.forward_features(x) 2025-08-14T21:37:53.2417745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2417820Z x = self.blocks(x) 2025-08-14T21:37:53.2418063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2418137Z x = self.conv_pw(x) 2025-08-14T21:37:53.2418368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2418515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2418744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2418860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2418864Z 2025-08-14T21:37:53.2418949Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2419042Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2419151Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2419368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2419450Z return mod(*inputs) 2025-08-14T21:37:53.2419781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2419864Z x = self.forward_features(x) 2025-08-14T21:37:53.2420130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2420200Z x = self.blocks(x) 2025-08-14T21:37:53.2420451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2420521Z x = self.conv_pw(x) 2025-08-14T21:37:53.2420754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2420834Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2420838Z 2025-08-14T21:37:53.2420945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2421155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2421238Z return mod(*inputs) 2025-08-14T21:37:53.2421475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2421560Z x = self.forward_features(x) 2025-08-14T21:37:53.2421814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2421883Z x = self.blocks(x) 2025-08-14T21:37:53.2422136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2422201Z x = self.bn1(x) 2025-08-14T21:37:53.2422424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2422493Z x = F.batch_norm( 2025-08-14T21:37:53.2422496Z 2025-08-14T21:37:53.2422605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2422828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2422944Z return mod(*inputs) 2025-08-14T21:37:53.2423171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2423254Z x = self.forward_features(x) 2025-08-14T21:37:53.2423508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2423581Z x = self.blocks(x) 2025-08-14T21:37:53.2423829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2423895Z x = self.bn1(x) 2025-08-14T21:37:53.2424122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2424189Z x = self.act(x) 2025-08-14T21:37:53.2424193Z 2025-08-14T21:37:53.2424278Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2424399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2424617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2424695Z return mod(*inputs) 2025-08-14T21:37:53.2424960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2425038Z x = self.forward_features(x) 2025-08-14T21:37:53.2425297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2425366Z x = self.blocks(x) 2025-08-14T21:37:53.2425609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2425688Z x = self.conv_dw(x) 2025-08-14T21:37:53.2425911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2426035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2426265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2426375Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2426378Z 2025-08-14T21:37:53.2426472Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2426579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2426790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2426866Z return mod(*inputs) 2025-08-14T21:37:53.2427092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2427173Z x = self.forward_features(x) 2025-08-14T21:37:53.2427423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2427493Z x = self.blocks(x) 2025-08-14T21:37:53.2427743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2427810Z x = self.conv_dw(x) 2025-08-14T21:37:53.2428031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2428147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2428377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2428490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2428494Z 2025-08-14T21:37:53.2428578Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2428684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2428902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2429012Z return mod(*inputs) 2025-08-14T21:37:53.2429246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2429321Z x = self.forward_features(x) 2025-08-14T21:37:53.2429574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2429647Z x = self.blocks(x) 2025-08-14T21:37:53.2429889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2429956Z x = self.conv_dw(x) 2025-08-14T21:37:53.2430383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2430499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2430738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2430849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2430853Z 2025-08-14T21:37:53.2430937Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2431053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2431384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2431458Z return mod(*inputs) 2025-08-14T21:37:53.2431694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2431767Z x = self.forward_features(x) 2025-08-14T21:37:53.2432026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2432094Z x = self.blocks(x) 2025-08-14T21:37:53.2432335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2432418Z x = self.conv_dw(x) 2025-08-14T21:37:53.2432639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2432740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2432967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2433067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2433071Z 2025-08-14T21:37:53.2433156Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2433236Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2433317Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2433405Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2433509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2433713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2433791Z return mod(*inputs) 2025-08-14T21:37:53.2434014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2434096Z x = self.forward_features(x) 2025-08-14T21:37:53.2434348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2434414Z x = self.blocks(x) 2025-08-14T21:37:53.2434656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2434725Z x = self.conv_dw(x) 2025-08-14T21:37:53.2434938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2435016Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2435020Z 2025-08-14T21:37:53.2435099Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2435211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2435490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2435558Z return mod(*inputs) 2025-08-14T21:37:53.2435787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2435861Z x = self.forward_features(x) 2025-08-14T21:37:53.2436116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2436182Z x = self.blocks(x) 2025-08-14T21:37:53.2436417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2436494Z x = self.se(x) 2025-08-14T21:37:53.2436716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2436789Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2436793Z 2025-08-14T21:37:53.2436904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2437096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2437168Z return mod(*inputs) 2025-08-14T21:37:53.2437414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2437483Z x = self.forward_features(x) 2025-08-14T21:37:53.2437735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2437800Z x = self.blocks(x) 2025-08-14T21:37:53.2438037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2438109Z x = self.se(x) 2025-08-14T21:37:53.2438343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2438425Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2438432Z 2025-08-14T21:37:53.2438536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2438745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2438821Z return mod(*inputs) 2025-08-14T21:37:53.2439051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2439117Z x = self.forward_features(x) 2025-08-14T21:37:53.2439355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2439416Z x = self.blocks(x) 2025-08-14T21:37:53.2439645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2439704Z x = self.se(x) 2025-08-14T21:37:53.2439923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2440003Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2440006Z 2025-08-14T21:37:53.2440106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2440322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2440392Z return mod(*inputs) 2025-08-14T21:37:53.2440611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2440691Z x = self.forward_features(x) 2025-08-14T21:37:53.2440936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2440997Z x = self.blocks(x) 2025-08-14T21:37:53.2441226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2441286Z x = self.se(x) 2025-08-14T21:37:53.2441512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2441617Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2441621Z 2025-08-14T21:37:53.2441720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2441920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2441983Z return mod(*inputs) 2025-08-14T21:37:53.2442189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2442263Z x = self.forward_features(x) 2025-08-14T21:37:53.2442489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2442556Z x = self.blocks(x) 2025-08-14T21:37:53.2442777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2442850Z x = self.se(x) 2025-08-14T21:37:53.2443069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2443137Z return x * self.gate(x_se) 2025-08-14T21:37:53.2443141Z 2025-08-14T21:37:53.2443248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2443483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2443561Z return mod(*inputs) 2025-08-14T21:37:53.2443780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2443852Z x = self.forward_features(x) 2025-08-14T21:37:53.2444101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2444166Z x = self.blocks(x) 2025-08-14T21:37:53.2444404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2444478Z x = self.se(x) 2025-08-14T21:37:53.2444712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2444791Z return x * self.gate(x_se) 2025-08-14T21:37:53.2444795Z 2025-08-14T21:37:53.2444878Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2444983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2445208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2445275Z return mod(*inputs) 2025-08-14T21:37:53.2445482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2445562Z x = self.forward_features(x) 2025-08-14T21:37:53.2445792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2445864Z x = self.blocks(x) 2025-08-14T21:37:53.2446088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2446154Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2446366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2446471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2446682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2446792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2446796Z 2025-08-14T21:37:53.2446874Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2446981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2447174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2447279Z return mod(*inputs) 2025-08-14T21:37:53.2447492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2447560Z x = self.forward_features(x) 2025-08-14T21:37:53.2447792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2447863Z x = self.blocks(x) 2025-08-14T21:37:53.2448086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2448160Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2448365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2448465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2448688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2448790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2448793Z 2025-08-14T21:37:53.2448877Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2448954Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2449054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2449291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2449359Z return mod(*inputs) 2025-08-14T21:37:53.2449566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2449643Z x = self.forward_features(x) 2025-08-14T21:37:53.2449874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2449944Z x = self.blocks(x) 2025-08-14T21:37:53.2450176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2450248Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2450467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2450539Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2450542Z 2025-08-14T21:37:53.2450649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2450858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2450926Z return mod(*inputs) 2025-08-14T21:37:53.2451151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2451222Z x = self.forward_features(x) 2025-08-14T21:37:53.2451466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2451538Z x = self.blocks(x) 2025-08-14T21:37:53.2451772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2451851Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2451855Z 2025-08-14T21:37:53.2451967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2452170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2452244Z return mod(*inputs) 2025-08-14T21:37:53.2452453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2452521Z x = self.forward_features(x) 2025-08-14T21:37:53.2452776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2452842Z x = self.blocks(x) 2025-08-14T21:37:53.2453076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2453195Z x = self.conv_pw(x) 2025-08-14T21:37:53.2453410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2453526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2453753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2453859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2453863Z 2025-08-14T21:37:53.2453976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2454182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2454255Z return mod(*inputs) 2025-08-14T21:37:53.2454474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2454545Z x = self.forward_features(x) 2025-08-14T21:37:53.2454797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2454861Z x = self.blocks(x) 2025-08-14T21:37:53.2455097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2455204Z x = self.conv_pw(x) 2025-08-14T21:37:53.2455419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2455532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2455757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2455861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2455864Z 2025-08-14T21:37:53.2455952Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2456031Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2456139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2456352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2456418Z return mod(*inputs) 2025-08-14T21:37:53.2456650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2456721Z x = self.forward_features(x) 2025-08-14T21:37:53.2456964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2457037Z x = self.blocks(x) 2025-08-14T21:37:53.2457271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2457338Z x = self.conv_pw(x) 2025-08-14T21:37:53.2457562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2457631Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2457638Z 2025-08-14T21:37:53.2457748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2457952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2458020Z return mod(*inputs) 2025-08-14T21:37:53.2458250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2458321Z x = self.forward_features(x) 2025-08-14T21:37:53.2458566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2458639Z x = self.blocks(x) 2025-08-14T21:37:53.2458877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2458949Z x = self.bn1(x) 2025-08-14T21:37:53.2459158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2459264Z x = F.batch_norm( 2025-08-14T21:37:53.2459268Z 2025-08-14T21:37:53.2459381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2459586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2459740Z return mod(*inputs) 2025-08-14T21:37:53.2459968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2460043Z x = self.forward_features(x) 2025-08-14T21:37:53.2460306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2460374Z x = self.blocks(x) 2025-08-14T21:37:53.2460618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2460692Z x = self.bn1(x) 2025-08-14T21:37:53.2460906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2460995Z x = self.act(x) 2025-08-14T21:37:53.2460999Z 2025-08-14T21:37:53.2461082Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2461186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2462051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2462129Z return mod(*inputs) 2025-08-14T21:37:53.2462358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2462438Z x = self.forward_features(x) 2025-08-14T21:37:53.2462690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2462761Z x = self.blocks(x) 2025-08-14T21:37:53.2463000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2463068Z x = self.conv_dw(x) 2025-08-14T21:37:53.2463296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2463404Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2463635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2463751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2463755Z 2025-08-14T21:37:53.2463836Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2463948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2464152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2464220Z return mod(*inputs) 2025-08-14T21:37:53.2464450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2464527Z x = self.forward_features(x) 2025-08-14T21:37:53.2464775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2464849Z x = self.blocks(x) 2025-08-14T21:37:53.2465091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2465164Z x = self.conv_dw(x) 2025-08-14T21:37:53.2465380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2465486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2465723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2465828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2465832Z 2025-08-14T21:37:53.2465922Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2466072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2466279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2466355Z return mod(*inputs) 2025-08-14T21:37:53.2466578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2466650Z x = self.forward_features(x) 2025-08-14T21:37:53.2466902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2466966Z x = self.blocks(x) 2025-08-14T21:37:53.2467209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2467274Z x = self.conv_dw(x) 2025-08-14T21:37:53.2467487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2467604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2467830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2467936Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2467948Z 2025-08-14T21:37:53.2468063Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2468173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2468383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2468451Z return mod(*inputs) 2025-08-14T21:37:53.2468670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2468749Z x = self.forward_features(x) 2025-08-14T21:37:53.2468991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2469058Z x = self.blocks(x) 2025-08-14T21:37:53.2469298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2469364Z x = self.conv_dw(x) 2025-08-14T21:37:53.2469609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2469713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2469937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2470048Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2470052Z 2025-08-14T21:37:53.2470132Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2470230Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2470306Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2470380Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2470488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2470684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2470748Z return mod(*inputs) 2025-08-14T21:37:53.2470964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2471034Z x = self.forward_features(x) 2025-08-14T21:37:53.2471275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2471347Z x = self.blocks(x) 2025-08-14T21:37:53.2471583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2471655Z x = self.conv_dw(x) 2025-08-14T21:37:53.2471869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2471955Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2471998Z 2025-08-14T21:37:53.2472086Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2472190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2472393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2472471Z return mod(*inputs) 2025-08-14T21:37:53.2472689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2472761Z x = self.forward_features(x) 2025-08-14T21:37:53.2473018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2473079Z x = self.blocks(x) 2025-08-14T21:37:53.2473309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2473370Z x = self.se(x) 2025-08-14T21:37:53.2473590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2473674Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2473677Z 2025-08-14T21:37:53.2473776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2474011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2474078Z return mod(*inputs) 2025-08-14T21:37:53.2474293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2474371Z x = self.forward_features(x) 2025-08-14T21:37:53.2474611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2474675Z x = self.blocks(x) 2025-08-14T21:37:53.2474913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2474979Z x = self.se(x) 2025-08-14T21:37:53.2475218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2475294Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2475298Z 2025-08-14T21:37:53.2475407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2475618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2475685Z return mod(*inputs) 2025-08-14T21:37:53.2475903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2475983Z x = self.forward_features(x) 2025-08-14T21:37:53.2476224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2476296Z x = self.blocks(x) 2025-08-14T21:37:53.2476531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2476595Z x = self.se(x) 2025-08-14T21:37:53.2476842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2476907Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2476911Z 2025-08-14T21:37:53.2477012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2477213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2477276Z return mod(*inputs) 2025-08-14T21:37:53.2477488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2477554Z x = self.forward_features(x) 2025-08-14T21:37:53.2477782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2477849Z x = self.blocks(x) 2025-08-14T21:37:53.2478121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2478179Z x = self.se(x) 2025-08-14T21:37:53.2478402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2478474Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2478478Z 2025-08-14T21:37:53.2478586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2478777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2478840Z return mod(*inputs) 2025-08-14T21:37:53.2479054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2479121Z x = self.forward_features(x) 2025-08-14T21:37:53.2479357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2479421Z x = self.blocks(x) 2025-08-14T21:37:53.2479642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2479708Z x = self.se(x) 2025-08-14T21:37:53.2479966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2480040Z return x * self.gate(x_se) 2025-08-14T21:37:53.2480044Z 2025-08-14T21:37:53.2480157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2480358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2480433Z return mod(*inputs) 2025-08-14T21:37:53.2480655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2480727Z x = self.forward_features(x) 2025-08-14T21:37:53.2480979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2481048Z x = self.blocks(x) 2025-08-14T21:37:53.2481284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2481354Z x = self.se(x) 2025-08-14T21:37:53.2481590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2481671Z return x * self.gate(x_se) 2025-08-14T21:37:53.2481674Z 2025-08-14T21:37:53.2481757Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2481874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2482074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2482138Z return mod(*inputs) 2025-08-14T21:37:53.2482348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2482429Z x = self.forward_features(x) 2025-08-14T21:37:53.2482664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2482732Z x = self.blocks(x) 2025-08-14T21:37:53.2482950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2483014Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2483219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2483322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2483529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2483638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2483641Z 2025-08-14T21:37:53.2483721Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2483865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2484059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2484122Z return mod(*inputs) 2025-08-14T21:37:53.2484338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2484405Z x = self.forward_features(x) 2025-08-14T21:37:53.2484640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2484703Z x = self.blocks(x) 2025-08-14T21:37:53.2484922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2484993Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2485195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2485298Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2485516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2485614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2485617Z 2025-08-14T21:37:53.2485739Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2485817Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2485918Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2486120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2486184Z return mod(*inputs) 2025-08-14T21:37:53.2486392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2486467Z x = self.forward_features(x) 2025-08-14T21:37:53.2486699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2486772Z x = self.blocks(x) 2025-08-14T21:37:53.2486997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2487062Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2487275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2487341Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2487345Z 2025-08-14T21:37:53.2487444Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2487645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2487709Z return mod(*inputs) 2025-08-14T21:37:53.2487922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2487989Z x = self.forward_features(x) 2025-08-14T21:37:53.2488221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2488292Z x = self.blocks(x) 2025-08-14T21:37:53.2488514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2488590Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2488602Z 2025-08-14T21:37:53.2488702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2488894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2488966Z return mod(*inputs) 2025-08-14T21:37:53.2489172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2489240Z x = self.forward_features(x) 2025-08-14T21:37:53.2489481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2489591Z x = self.blocks(x) 2025-08-14T21:37:53.2489822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2489886Z x = self.conv_pw(x) 2025-08-14T21:37:53.2489890Z 2025-08-14T21:37:53.2489993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2490190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2490253Z return mod(*inputs) 2025-08-14T21:37:53.2490468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2490546Z x = self.forward_features(x) 2025-08-14T21:37:53.2490787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2490857Z x = self.blocks(x) 2025-08-14T21:37:53.2491090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2491158Z x = self.conv_dw(x) 2025-08-14T21:37:53.2491162Z 2025-08-14T21:37:53.2491252Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2491356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2491587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2491663Z return mod(*inputs) 2025-08-14T21:37:53.2491883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2491956Z x = self.forward_features(x) 2025-08-14T21:37:53.2492187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2492248Z x = self.blocks(x) 2025-08-14T21:37:53.2492478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2492540Z x = self.se(x) 2025-08-14T21:37:53.2492760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2492843Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2492846Z 2025-08-14T21:37:53.2492948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2493147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2493209Z return mod(*inputs) 2025-08-14T21:37:53.2493418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2493493Z x = self.forward_features(x) 2025-08-14T21:37:53.2493740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2493806Z x = self.blocks(x) 2025-08-14T21:37:53.2494052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2494117Z x = self.se(x) 2025-08-14T21:37:53.2494361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2494435Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2494442Z 2025-08-14T21:37:53.2494546Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2494758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2494825Z return mod(*inputs) 2025-08-14T21:37:53.2495052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2495124Z x = self.forward_features(x) 2025-08-14T21:37:53.2495367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2495441Z x = self.blocks(x) 2025-08-14T21:37:53.2495714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2495777Z x = self.se(x) 2025-08-14T21:37:53.2496017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2496087Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2496091Z 2025-08-14T21:37:53.2496203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2496405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2496473Z return mod(*inputs) 2025-08-14T21:37:53.2496700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2496772Z x = self.forward_features(x) 2025-08-14T21:37:53.2497013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2497090Z x = self.blocks(x) 2025-08-14T21:37:53.2497324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2497392Z x = self.se(x) 2025-08-14T21:37:53.2497720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2497798Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2497802Z 2025-08-14T21:37:53.2497921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2498111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2498174Z return mod(*inputs) 2025-08-14T21:37:53.2498387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2498455Z x = self.forward_features(x) 2025-08-14T21:37:53.2498689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2498756Z x = self.blocks(x) 2025-08-14T21:37:53.2498975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2499042Z x = self.se(x) 2025-08-14T21:37:53.2499264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2499335Z return x * self.gate(x_se) 2025-08-14T21:37:53.2499348Z 2025-08-14T21:37:53.2499448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2499932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2500017Z return mod(*inputs) 2025-08-14T21:37:53.2500227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2500299Z x = self.forward_features(x) 2025-08-14T21:37:53.2500555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2500622Z x = self.blocks(x) 2025-08-14T21:37:53.2500868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2500932Z x = self.se(x) 2025-08-14T21:37:53.2501166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2501248Z return x * self.gate(x_se) 2025-08-14T21:37:53.2501252Z 2025-08-14T21:37:53.2501358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2501566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2501639Z return mod(*inputs) 2025-08-14T21:37:53.2501845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2501970Z x = self.forward_features(x) 2025-08-14T21:37:53.2502204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2502265Z x = self.blocks(x) 2025-08-14T21:37:53.2502505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2502570Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2502573Z 2025-08-14T21:37:53.2502673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2502874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2502937Z return mod(*inputs) 2025-08-14T21:37:53.2503156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2503224Z x = self.forward_features(x) 2025-08-14T21:37:53.2503463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2503535Z x = self.blocks(x) 2025-08-14T21:37:53.2503761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:53.2503860Z x = self.bn3(x) 2025-08-14T21:37:53.2504068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2504134Z x = F.batch_norm( 2025-08-14T21:37:53.2504138Z 2025-08-14T21:37:53.2504250Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2504450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2504517Z return mod(*inputs) 2025-08-14T21:37:53.2504743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2504814Z x = self.forward_features(x) 2025-08-14T21:37:53.2505066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2505130Z x = self.blocks(x) 2025-08-14T21:37:53.2505364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2505439Z x = self.conv_pw(x) 2025-08-14T21:37:53.2505652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2505762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2505992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2506101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2506104Z 2025-08-14T21:37:53.2506214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2506418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2506485Z return mod(*inputs) 2025-08-14T21:37:53.2506709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2506782Z x = self.forward_features(x) 2025-08-14T21:37:53.2507025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2507098Z x = self.blocks(x) 2025-08-14T21:37:53.2507329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2507403Z x = self.conv_pw(x) 2025-08-14T21:37:53.2507619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2507725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2507955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2508100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2508104Z 2025-08-14T21:37:53.2508193Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2508278Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2508383Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2508593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2508660Z return mod(*inputs) 2025-08-14T21:37:53.2508878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2508957Z x = self.forward_features(x) 2025-08-14T21:37:53.2509198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2509263Z x = self.blocks(x) 2025-08-14T21:37:53.2509510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2509584Z x = self.conv_pw(x) 2025-08-14T21:37:53.2509807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2509915Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2509920Z 2025-08-14T21:37:53.2510024Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2510236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2510304Z return mod(*inputs) 2025-08-14T21:37:53.2510530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2510602Z x = self.forward_features(x) 2025-08-14T21:37:53.2510845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2510922Z x = self.blocks(x) 2025-08-14T21:37:53.2511157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2511221Z x = self.bn1(x) 2025-08-14T21:37:53.2511440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2511505Z x = F.batch_norm( 2025-08-14T21:37:53.2511509Z 2025-08-14T21:37:53.2511629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2511819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2511884Z return mod(*inputs) 2025-08-14T21:37:53.2512098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2512165Z x = self.forward_features(x) 2025-08-14T21:37:53.2512393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2512466Z x = self.blocks(x) 2025-08-14T21:37:53.2512688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2512754Z x = self.bn1(x) 2025-08-14T21:37:53.2512950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2513010Z x = self.act(x) 2025-08-14T21:37:53.2513013Z 2025-08-14T21:37:53.2513099Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2513198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2513389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2513464Z return mod(*inputs) 2025-08-14T21:37:53.2513685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2513807Z x = self.forward_features(x) 2025-08-14T21:37:53.2514050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2514123Z x = self.blocks(x) 2025-08-14T21:37:53.2514357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2514420Z x = self.conv_dw(x) 2025-08-14T21:37:53.2514624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2514734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2514945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2515054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2515057Z 2025-08-14T21:37:53.2515136Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2515239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2515442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2515509Z return mod(*inputs) 2025-08-14T21:37:53.2515757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2515831Z x = self.forward_features(x) 2025-08-14T21:37:53.2516072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2516143Z x = self.blocks(x) 2025-08-14T21:37:53.2516377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2516444Z x = self.conv_dw(x) 2025-08-14T21:37:53.2516666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2516772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2517005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2517109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2517124Z 2025-08-14T21:37:53.2517205Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2517311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2517501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2517563Z return mod(*inputs) 2025-08-14T21:37:53.2517780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2517848Z x = self.forward_features(x) 2025-08-14T21:37:53.2518082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2518144Z x = self.blocks(x) 2025-08-14T21:37:53.2518372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2518445Z x = self.conv_dw(x) 2025-08-14T21:37:53.2518659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2518764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2518993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2519105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2519108Z 2025-08-14T21:37:53.2519193Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2519290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2519480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2519551Z return mod(*inputs) 2025-08-14T21:37:53.2519795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2519862Z x = self.forward_features(x) 2025-08-14T21:37:53.2520107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2520168Z x = self.blocks(x) 2025-08-14T21:37:53.2520400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2520461Z x = self.conv_dw(x) 2025-08-14T21:37:53.2520667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2520772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2520998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2521111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2521114Z 2025-08-14T21:37:53.2521197Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2521278Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2521364Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2521487Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2521595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2521810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2521878Z return mod(*inputs) 2025-08-14T21:37:53.2522108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2522178Z x = self.forward_features(x) 2025-08-14T21:37:53.2522424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2522498Z x = self.blocks(x) 2025-08-14T21:37:53.2522741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2522808Z x = self.conv_dw(x) 2025-08-14T21:37:53.2523030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2523104Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2523108Z 2025-08-14T21:37:53.2523196Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2523304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2523510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2523585Z return mod(*inputs) 2025-08-14T21:37:53.2523808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2523881Z x = self.forward_features(x) 2025-08-14T21:37:53.2524134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2524203Z x = self.blocks(x) 2025-08-14T21:37:53.2524449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2524513Z x = self.se(x) 2025-08-14T21:37:53.2524749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2524835Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2524838Z 2025-08-14T21:37:53.2524944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2525148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2525223Z return mod(*inputs) 2025-08-14T21:37:53.2525451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2525529Z x = self.forward_features(x) 2025-08-14T21:37:53.2525807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2525870Z x = self.blocks(x) 2025-08-14T21:37:53.2526117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2526180Z x = self.se(x) 2025-08-14T21:37:53.2526412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2526493Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2526497Z 2025-08-14T21:37:53.2526599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2526812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2526879Z return mod(*inputs) 2025-08-14T21:37:53.2527098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2527180Z x = self.forward_features(x) 2025-08-14T21:37:53.2527423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2527495Z x = self.blocks(x) 2025-08-14T21:37:53.2527764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2527828Z x = self.se(x) 2025-08-14T21:37:53.2528067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2528137Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2528140Z 2025-08-14T21:37:53.2528243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2528464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2528528Z return mod(*inputs) 2025-08-14T21:37:53.2528741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2528810Z x = self.forward_features(x) 2025-08-14T21:37:53.2529041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2529111Z x = self.blocks(x) 2025-08-14T21:37:53.2529333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2529392Z x = self.se(x) 2025-08-14T21:37:53.2529624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2529699Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2529702Z 2025-08-14T21:37:53.2529814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2530252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2530333Z return mod(*inputs) 2025-08-14T21:37:53.2530561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2530633Z x = self.forward_features(x) 2025-08-14T21:37:53.2530876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2530952Z x = self.blocks(x) 2025-08-14T21:37:53.2531188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2531262Z x = self.se(x) 2025-08-14T21:37:53.2531495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2531569Z return x * self.gate(x_se) 2025-08-14T21:37:53.2531573Z 2025-08-14T21:37:53.2531686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2531888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2532050Z return mod(*inputs) 2025-08-14T21:37:53.2532280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2532352Z x = self.forward_features(x) 2025-08-14T21:37:53.2532609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2532675Z x = self.blocks(x) 2025-08-14T21:37:53.2532914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2532986Z x = self.se(x) 2025-08-14T21:37:53.2533222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2533300Z return x * self.gate(x_se) 2025-08-14T21:37:53.2533304Z 2025-08-14T21:37:53.2533387Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2533496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2533711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2533779Z return mod(*inputs) 2025-08-14T21:37:53.2534047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2534128Z x = self.forward_features(x) 2025-08-14T21:37:53.2534369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2534441Z x = self.blocks(x) 2025-08-14T21:37:53.2534677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2534746Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2534968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2535079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2535304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2535420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2535423Z 2025-08-14T21:37:53.2535507Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2535621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2535825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2535892Z return mod(*inputs) 2025-08-14T21:37:53.2536119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2536191Z x = self.forward_features(x) 2025-08-14T21:37:53.2536432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2536506Z x = self.blocks(x) 2025-08-14T21:37:53.2536742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2536818Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2537034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2537141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2537371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2537477Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2537481Z 2025-08-14T21:37:53.2537571Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2537654Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2537759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2537970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2538075Z return mod(*inputs) 2025-08-14T21:37:53.2538298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2538377Z x = self.forward_features(x) 2025-08-14T21:37:53.2538629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2538701Z x = self.blocks(x) 2025-08-14T21:37:53.2538940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2539009Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2539232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2539303Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2539306Z 2025-08-14T21:37:53.2539411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2539682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2539758Z return mod(*inputs) 2025-08-14T21:37:53.2539984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2540096Z x = self.forward_features(x) 2025-08-14T21:37:53.2540337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2540409Z x = self.blocks(x) 2025-08-14T21:37:53.2540641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2540717Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2540721Z 2025-08-14T21:37:53.2540835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2541038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2541118Z return mod(*inputs) 2025-08-14T21:37:53.2541336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2541407Z x = self.forward_features(x) 2025-08-14T21:37:53.2541659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2541724Z x = self.blocks(x) 2025-08-14T21:37:53.2541957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2542034Z x = self.conv_pw(x) 2025-08-14T21:37:53.2542246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2542363Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2542585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2542695Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2542698Z 2025-08-14T21:37:53.2542812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2543015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2543093Z return mod(*inputs) 2025-08-14T21:37:53.2543309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2543380Z x = self.forward_features(x) 2025-08-14T21:37:53.2543629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2543694Z x = self.blocks(x) 2025-08-14T21:37:53.2543924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2543998Z x = self.conv_pw(x) 2025-08-14T21:37:53.2544210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2544370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2544600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2544701Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2544704Z 2025-08-14T21:37:53.2544790Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2544865Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2544963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2545163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2545237Z return mod(*inputs) 2025-08-14T21:37:53.2545442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2545508Z x = self.forward_features(x) 2025-08-14T21:37:53.2545732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2545797Z x = self.blocks(x) 2025-08-14T21:37:53.2546054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2546117Z x = self.conv_pw(x) 2025-08-14T21:37:53.2546329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2546396Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2546399Z 2025-08-14T21:37:53.2546504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2546696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2546759Z return mod(*inputs) 2025-08-14T21:37:53.2546970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2547040Z x = self.forward_features(x) 2025-08-14T21:37:53.2547268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2547336Z x = self.blocks(x) 2025-08-14T21:37:53.2547559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2547626Z x = self.bn1(x) 2025-08-14T21:37:53.2547822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2547894Z x = F.batch_norm( 2025-08-14T21:37:53.2547898Z 2025-08-14T21:37:53.2548000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2548187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2548256Z return mod(*inputs) 2025-08-14T21:37:53.2548456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2548526Z x = self.forward_features(x) 2025-08-14T21:37:53.2548754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2548815Z x = self.blocks(x) 2025-08-14T21:37:53.2549033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2549100Z x = self.bn1(x) 2025-08-14T21:37:53.2549288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2549353Z x = self.act(x) 2025-08-14T21:37:53.2549357Z 2025-08-14T21:37:53.2549433Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2549528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2549723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2549828Z return mod(*inputs) 2025-08-14T21:37:53.2550030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2550106Z x = self.forward_features(x) 2025-08-14T21:37:53.2550352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2550426Z x = self.blocks(x) 2025-08-14T21:37:53.2550661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2550728Z x = self.conv_dw(x) 2025-08-14T21:37:53.2550948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2551055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2551277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2551397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2551400Z 2025-08-14T21:37:53.2551483Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2551594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2551834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2551905Z return mod(*inputs) 2025-08-14T21:37:53.2552133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2552203Z x = self.forward_features(x) 2025-08-14T21:37:53.2552444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2552517Z x = self.blocks(x) 2025-08-14T21:37:53.2552763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2552836Z x = self.conv_dw(x) 2025-08-14T21:37:53.2553037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2553138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2553359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2553458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2553461Z 2025-08-14T21:37:53.2553545Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2553645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2553837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2553907Z return mod(*inputs) 2025-08-14T21:37:53.2554120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2554195Z x = self.forward_features(x) 2025-08-14T21:37:53.2554443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2554508Z x = self.blocks(x) 2025-08-14T21:37:53.2554751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2554817Z x = self.conv_dw(x) 2025-08-14T21:37:53.2555032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2555143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2555368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2555472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2555476Z 2025-08-14T21:37:53.2555565Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2555743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2555953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2556021Z return mod(*inputs) 2025-08-14T21:37:53.2556244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2556325Z x = self.forward_features(x) 2025-08-14T21:37:53.2556568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2556632Z x = self.blocks(x) 2025-08-14T21:37:53.2556873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2556938Z x = self.conv_dw(x) 2025-08-14T21:37:53.2557157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2557261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2557485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2557596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2557599Z 2025-08-14T21:37:53.2557714Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2557812Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2557887Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2557961Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2558067Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2558261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2558326Z return mod(*inputs) 2025-08-14T21:37:53.2558540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2558607Z x = self.forward_features(x) 2025-08-14T21:37:53.2558839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2558907Z x = self.blocks(x) 2025-08-14T21:37:53.2559138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2559211Z x = self.conv_dw(x) 2025-08-14T21:37:53.2559425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2559493Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2559496Z 2025-08-14T21:37:53.2559585Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2559690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2559893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2559969Z return mod(*inputs) 2025-08-14T21:37:53.2560188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2560269Z x = self.forward_features(x) 2025-08-14T21:37:53.2560513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2560580Z x = self.blocks(x) 2025-08-14T21:37:53.2560824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2560887Z x = self.se(x) 2025-08-14T21:37:53.2561126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2561198Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2561202Z 2025-08-14T21:37:53.2561301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2561499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2561596Z return mod(*inputs) 2025-08-14T21:37:53.2561810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2561885Z x = self.forward_features(x) 2025-08-14T21:37:53.2562121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2562194Z x = self.blocks(x) 2025-08-14T21:37:53.2562436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2562497Z x = self.se(x) 2025-08-14T21:37:53.2562736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2562810Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2562814Z 2025-08-14T21:37:53.2562919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2563131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2563201Z return mod(*inputs) 2025-08-14T21:37:53.2563427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2563498Z x = self.forward_features(x) 2025-08-14T21:37:53.2563772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2563849Z x = self.blocks(x) 2025-08-14T21:37:53.2564087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2564146Z x = self.se(x) 2025-08-14T21:37:53.2564375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2564442Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2564446Z 2025-08-14T21:37:53.2564552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2564747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2564812Z return mod(*inputs) 2025-08-14T21:37:53.2565027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2565097Z x = self.forward_features(x) 2025-08-14T21:37:53.2565331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2565406Z x = self.blocks(x) 2025-08-14T21:37:53.2565643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2565713Z x = self.se(x) 2025-08-14T21:37:53.2565945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2566020Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2566023Z 2025-08-14T21:37:53.2566141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2566345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2566418Z return mod(*inputs) 2025-08-14T21:37:53.2566639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2566711Z x = self.forward_features(x) 2025-08-14T21:37:53.2566963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2567027Z x = self.blocks(x) 2025-08-14T21:37:53.2567260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2567330Z x = self.se(x) 2025-08-14T21:37:53.2567561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2567640Z return x * self.gate(x_se) 2025-08-14T21:37:53.2567696Z 2025-08-14T21:37:53.2567798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2567990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2568060Z return mod(*inputs) 2025-08-14T21:37:53.2568270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2568338Z x = self.forward_features(x) 2025-08-14T21:37:53.2568578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2568640Z x = self.blocks(x) 2025-08-14T21:37:53.2568868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2568927Z x = self.se(x) 2025-08-14T21:37:53.2569159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2569242Z return x * self.gate(x_se) 2025-08-14T21:37:53.2569245Z 2025-08-14T21:37:53.2569326Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2569430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2569669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2569739Z return mod(*inputs) 2025-08-14T21:37:53.2569964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2570035Z x = self.forward_features(x) 2025-08-14T21:37:53.2570277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2570349Z x = self.blocks(x) 2025-08-14T21:37:53.2570580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2570651Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2570873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2570982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2571214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2571323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2571326Z 2025-08-14T21:37:53.2571406Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2571518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2571721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2571795Z return mod(*inputs) 2025-08-14T21:37:53.2572012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2572086Z x = self.forward_features(x) 2025-08-14T21:37:53.2572332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2572396Z x = self.blocks(x) 2025-08-14T21:37:53.2572632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2572708Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2572919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2573032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2573255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2573360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2573363Z 2025-08-14T21:37:53.2573449Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2573562Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2573668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2573876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2573944Z return mod(*inputs) 2025-08-14T21:37:53.2574173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2574247Z x = self.forward_features(x) 2025-08-14T21:37:53.2574488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2574560Z x = self.blocks(x) 2025-08-14T21:37:53.2574794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2574862Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2575084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2575156Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2575159Z 2025-08-14T21:37:53.2575271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2575478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2575579Z return mod(*inputs) 2025-08-14T21:37:53.2575807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2575878Z x = self.forward_features(x) 2025-08-14T21:37:53.2576122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2576194Z x = self.blocks(x) 2025-08-14T21:37:53.2576430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2576515Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2576519Z 2025-08-14T21:37:53.2576628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2576831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2576908Z return mod(*inputs) 2025-08-14T21:37:53.2577130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2577209Z x = self.forward_features(x) 2025-08-14T21:37:53.2577450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2577515Z x = self.blocks(x) 2025-08-14T21:37:53.2577757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2577825Z x = self.conv_pw(x) 2025-08-14T21:37:53.2578038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2578157Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2578379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2578494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2578498Z 2025-08-14T21:37:53.2578605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2578811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2578886Z return mod(*inputs) 2025-08-14T21:37:53.2579106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2579176Z x = self.forward_features(x) 2025-08-14T21:37:53.2579427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2579498Z x = self.blocks(x) 2025-08-14T21:37:53.2579865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2579941Z x = self.conv_pw(x) 2025-08-14T21:37:53.2580167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2580291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2580526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2580645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2580649Z 2025-08-14T21:37:53.2580745Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2580827Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2580940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2581144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2581216Z return mod(*inputs) 2025-08-14T21:37:53.2581445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2581518Z x = self.forward_features(x) 2025-08-14T21:37:53.2581806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2581874Z x = self.blocks(x) 2025-08-14T21:37:53.2582112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2582188Z x = self.conv_pw(x) 2025-08-14T21:37:53.2582403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2582473Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2582476Z 2025-08-14T21:37:53.2582590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2582795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2582872Z return mod(*inputs) 2025-08-14T21:37:53.2583090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2583161Z x = self.forward_features(x) 2025-08-14T21:37:53.2583413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2583477Z x = self.blocks(x) 2025-08-14T21:37:53.2583711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2583784Z x = self.bn1(x) 2025-08-14T21:37:53.2583995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2584067Z x = F.batch_norm( 2025-08-14T21:37:53.2584071Z 2025-08-14T21:37:53.2584176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2584382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2584456Z return mod(*inputs) 2025-08-14T21:37:53.2584676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2584751Z x = self.forward_features(x) 2025-08-14T21:37:53.2585002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2585068Z x = self.blocks(x) 2025-08-14T21:37:53.2585312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2585377Z x = self.bn1(x) 2025-08-14T21:37:53.2585585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2585654Z x = self.act(x) 2025-08-14T21:37:53.2585657Z 2025-08-14T21:37:53.2585739Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2585881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2586090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2586157Z return mod(*inputs) 2025-08-14T21:37:53.2586386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2586456Z x = self.forward_features(x) 2025-08-14T21:37:53.2586698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2586769Z x = self.blocks(x) 2025-08-14T21:37:53.2587001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2587069Z x = self.conv_dw(x) 2025-08-14T21:37:53.2587290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2587402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2587632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2587737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2587740Z 2025-08-14T21:37:53.2587870Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2587985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2588186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2588261Z return mod(*inputs) 2025-08-14T21:37:53.2588479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2588551Z x = self.forward_features(x) 2025-08-14T21:37:53.2588800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2588868Z x = self.blocks(x) 2025-08-14T21:37:53.2589102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2589176Z x = self.conv_dw(x) 2025-08-14T21:37:53.2589390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2589502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2589725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2589830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2589833Z 2025-08-14T21:37:53.2589926Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2590030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2590243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2590318Z return mod(*inputs) 2025-08-14T21:37:53.2590525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2590601Z x = self.forward_features(x) 2025-08-14T21:37:53.2590830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2590895Z x = self.blocks(x) 2025-08-14T21:37:53.2591138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2591206Z x = self.conv_dw(x) 2025-08-14T21:37:53.2591418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2591530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2591753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2591901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2591904Z 2025-08-14T21:37:53.2591987Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2592093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2592312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2592380Z return mod(*inputs) 2025-08-14T21:37:53.2592614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2592685Z x = self.forward_features(x) 2025-08-14T21:37:53.2592931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2593002Z x = self.blocks(x) 2025-08-14T21:37:53.2593244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2593311Z x = self.conv_dw(x) 2025-08-14T21:37:53.2593538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2593643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2593918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2594023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2594027Z 2025-08-14T21:37:53.2594109Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2594201Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2594281Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2594359Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2594472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2594677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2594756Z return mod(*inputs) 2025-08-14T21:37:53.2594976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2595047Z x = self.forward_features(x) 2025-08-14T21:37:53.2595303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2595368Z x = self.blocks(x) 2025-08-14T21:37:53.2595605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2595677Z x = self.conv_dw(x) 2025-08-14T21:37:53.2595892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2595969Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2595973Z 2025-08-14T21:37:53.2596052Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2596156Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2596372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2596440Z return mod(*inputs) 2025-08-14T21:37:53.2596662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2596754Z x = self.forward_features(x) 2025-08-14T21:37:53.2596988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2597056Z x = self.blocks(x) 2025-08-14T21:37:53.2597282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2597344Z x = self.se(x) 2025-08-14T21:37:53.2597586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2597660Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2597663Z 2025-08-14T21:37:53.2597803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2598020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2598083Z return mod(*inputs) 2025-08-14T21:37:53.2598300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2598368Z x = self.forward_features(x) 2025-08-14T21:37:53.2598599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2598667Z x = self.blocks(x) 2025-08-14T21:37:53.2598887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2598947Z x = self.se(x) 2025-08-14T21:37:53.2599174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2599255Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2599258Z 2025-08-14T21:37:53.2599359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2599547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2599608Z return mod(*inputs) 2025-08-14T21:37:53.2599848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2599917Z x = self.forward_features(x) 2025-08-14T21:37:53.2600147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2600208Z x = self.blocks(x) 2025-08-14T21:37:53.2600430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2600496Z x = self.se(x) 2025-08-14T21:37:53.2600717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2600787Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2600790Z 2025-08-14T21:37:53.2600898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2601093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2601166Z return mod(*inputs) 2025-08-14T21:37:53.2601379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2601446Z x = self.forward_features(x) 2025-08-14T21:37:53.2601684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2601745Z x = self.blocks(x) 2025-08-14T21:37:53.2601967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2602034Z x = self.se(x) 2025-08-14T21:37:53.2602254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2602339Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2602342Z 2025-08-14T21:37:53.2602448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2602654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2602729Z return mod(*inputs) 2025-08-14T21:37:53.2602953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2603026Z x = self.forward_features(x) 2025-08-14T21:37:53.2603281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2603347Z x = self.blocks(x) 2025-08-14T21:37:53.2603592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2603691Z x = self.se(x) 2025-08-14T21:37:53.2603930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2604014Z return x * self.gate(x_se) 2025-08-14T21:37:53.2604017Z 2025-08-14T21:37:53.2604124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2604340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2604419Z return mod(*inputs) 2025-08-14T21:37:53.2604633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2604708Z x = self.forward_features(x) 2025-08-14T21:37:53.2604946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2605008Z x = self.blocks(x) 2025-08-14T21:37:53.2605242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2605303Z x = self.se(x) 2025-08-14T21:37:53.2605532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2605604Z return x * self.gate(x_se) 2025-08-14T21:37:53.2605608Z 2025-08-14T21:37:53.2605721Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2605834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2606036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2606104Z return mod(*inputs) 2025-08-14T21:37:53.2606334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2606407Z x = self.forward_features(x) 2025-08-14T21:37:53.2606659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2606728Z x = self.blocks(x) 2025-08-14T21:37:53.2606960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2607036Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2607252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2607360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2607593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2607702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2607706Z 2025-08-14T21:37:53.2607796Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2607901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2608104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2608183Z return mod(*inputs) 2025-08-14T21:37:53.2608405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2608476Z x = self.forward_features(x) 2025-08-14T21:37:53.2608729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2608795Z x = self.blocks(x) 2025-08-14T21:37:53.2609038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2609106Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2609319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2609436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2609661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2609816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2609820Z 2025-08-14T21:37:53.2609902Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2609982Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2610093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2610306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2610373Z return mod(*inputs) 2025-08-14T21:37:53.2610601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2610670Z x = self.forward_features(x) 2025-08-14T21:37:53.2610926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2610991Z x = self.blocks(x) 2025-08-14T21:37:53.2611229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2611308Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2611524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2611592Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2611596Z 2025-08-14T21:37:53.2611747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2611950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2612024Z return mod(*inputs) 2025-08-14T21:37:53.2612240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2612311Z x = self.forward_features(x) 2025-08-14T21:37:53.2612556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2612619Z x = self.blocks(x) 2025-08-14T21:37:53.2612854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2612938Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2612942Z 2025-08-14T21:37:53.2613045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2613257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2613324Z return mod(*inputs) 2025-08-14T21:37:53.2613539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2613617Z x = self.forward_features(x) 2025-08-14T21:37:53.2613857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2613921Z x = self.blocks(x) 2025-08-14T21:37:53.2614158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2614227Z x = self.conv_pw(x) 2025-08-14T21:37:53.2614230Z 2025-08-14T21:37:53.2614339Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2614543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2614610Z return mod(*inputs) 2025-08-14T21:37:53.2614838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2614908Z x = self.forward_features(x) 2025-08-14T21:37:53.2615154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2615219Z x = self.blocks(x) 2025-08-14T21:37:53.2615450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2615519Z x = self.bn1(x) 2025-08-14T21:37:53.2615724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2615821Z x = F.batch_norm( 2025-08-14T21:37:53.2615825Z 2025-08-14T21:37:53.2615937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2616138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2616215Z return mod(*inputs) 2025-08-14T21:37:53.2616435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2616506Z x = self.forward_features(x) 2025-08-14T21:37:53.2616760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2616824Z x = self.blocks(x) 2025-08-14T21:37:53.2617059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2617131Z x = self.bn1(x) 2025-08-14T21:37:53.2617341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2617418Z x = self.act(x) 2025-08-14T21:37:53.2617422Z 2025-08-14T21:37:53.2617501Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2617600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2617830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2617897Z return mod(*inputs) 2025-08-14T21:37:53.2618104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2618179Z x = self.forward_features(x) 2025-08-14T21:37:53.2618407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2618477Z x = self.blocks(x) 2025-08-14T21:37:53.2618698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2618763Z x = self.conv_dw(x) 2025-08-14T21:37:53.2618972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2619075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2619296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2619409Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2619412Z 2025-08-14T21:37:53.2619494Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2619678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2619892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2619961Z return mod(*inputs) 2025-08-14T21:37:53.2620193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2620269Z x = self.forward_features(x) 2025-08-14T21:37:53.2620526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2620593Z x = self.blocks(x) 2025-08-14T21:37:53.2620833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2620910Z x = self.conv_dw(x) 2025-08-14T21:37:53.2621133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2621233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2621456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2621555Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2621558Z 2025-08-14T21:37:53.2621643Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2621787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2621979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2622052Z return mod(*inputs) 2025-08-14T21:37:53.2622260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2622327Z x = self.forward_features(x) 2025-08-14T21:37:53.2622562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2622623Z x = self.blocks(x) 2025-08-14T21:37:53.2622850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2622912Z x = self.conv_dw(x) 2025-08-14T21:37:53.2623111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2623218Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2623429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2623527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2623567Z 2025-08-14T21:37:53.2623647Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2623746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2623944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2624008Z return mod(*inputs) 2025-08-14T21:37:53.2624213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2624290Z x = self.forward_features(x) 2025-08-14T21:37:53.2624521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2624586Z x = self.blocks(x) 2025-08-14T21:37:53.2624816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2624880Z x = self.conv_dw(x) 2025-08-14T21:37:53.2625090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2625190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2625397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2625502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2625505Z 2025-08-14T21:37:53.2625581Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2625664Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2625740Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2625814Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2625921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2626113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2626175Z return mod(*inputs) 2025-08-14T21:37:53.2626394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2626464Z x = self.forward_features(x) 2025-08-14T21:37:53.2626698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2626759Z x = self.blocks(x) 2025-08-14T21:37:53.2626978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2627046Z x = self.conv_dw(x) 2025-08-14T21:37:53.2627246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2627345Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2627348Z 2025-08-14T21:37:53.2627432Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2627531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2627733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2627797Z return mod(*inputs) 2025-08-14T21:37:53.2628005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2628080Z x = self.forward_features(x) 2025-08-14T21:37:53.2628311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2628374Z x = self.blocks(x) 2025-08-14T21:37:53.2628606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2628663Z x = self.se(x) 2025-08-14T21:37:53.2628895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2628968Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2628972Z 2025-08-14T21:37:53.2629071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2629301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2629367Z return mod(*inputs) 2025-08-14T21:37:53.2629574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2629652Z x = self.forward_features(x) 2025-08-14T21:37:53.2629882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2629953Z x = self.blocks(x) 2025-08-14T21:37:53.2630410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2630484Z x = self.se(x) 2025-08-14T21:37:53.2630729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2630801Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2630804Z 2025-08-14T21:37:53.2630906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2631110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2631177Z return mod(*inputs) 2025-08-14T21:37:53.2631395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2631463Z x = self.forward_features(x) 2025-08-14T21:37:53.2631693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2631764Z x = self.blocks(x) 2025-08-14T21:37:53.2631989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2632054Z x = self.se(x) 2025-08-14T21:37:53.2632297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2632371Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2632377Z 2025-08-14T21:37:53.2632493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2632706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2632770Z return mod(*inputs) 2025-08-14T21:37:53.2632988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2633058Z x = self.forward_features(x) 2025-08-14T21:37:53.2633294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2633354Z x = self.blocks(x) 2025-08-14T21:37:53.2633654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2633719Z x = self.se(x) 2025-08-14T21:37:53.2633953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2634027Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2634030Z 2025-08-14T21:37:53.2634143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2634346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2634423Z return mod(*inputs) 2025-08-14T21:37:53.2634641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2634711Z x = self.forward_features(x) 2025-08-14T21:37:53.2634962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2635029Z x = self.blocks(x) 2025-08-14T21:37:53.2635264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2635334Z x = self.se(x) 2025-08-14T21:37:53.2635625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2635710Z return x * self.gate(x_se) 2025-08-14T21:37:53.2635714Z 2025-08-14T21:37:53.2635817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2636022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2636094Z return mod(*inputs) 2025-08-14T21:37:53.2636302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2636369Z x = self.forward_features(x) 2025-08-14T21:37:53.2636618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2636685Z x = self.blocks(x) 2025-08-14T21:37:53.2636925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2636987Z x = self.se(x) 2025-08-14T21:37:53.2637221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2637299Z return x * self.gate(x_se) 2025-08-14T21:37:53.2637303Z 2025-08-14T21:37:53.2637406Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2637614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2637682Z return mod(*inputs) 2025-08-14T21:37:53.2637900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2637976Z x = self.forward_features(x) 2025-08-14T21:37:53.2638217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2638281Z x = self.blocks(x) 2025-08-14T21:37:53.2638525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2638594Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2638598Z 2025-08-14T21:37:53.2638710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2638912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2638979Z return mod(*inputs) 2025-08-14T21:37:53.2639201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2639272Z x = self.forward_features(x) 2025-08-14T21:37:53.2639512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2639621Z x = self.blocks(x) 2025-08-14T21:37:53.2639853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:53.2639921Z x = self.bn3(x) 2025-08-14T21:37:53.2640133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2640199Z x = F.batch_norm( 2025-08-14T21:37:53.2640202Z 2025-08-14T21:37:53.2640312Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2640517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2640583Z return mod(*inputs) 2025-08-14T21:37:53.2640808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2640877Z x = self.forward_features(x) 2025-08-14T21:37:53.2641126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2641192Z x = self.blocks(x) 2025-08-14T21:37:53.2641425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2641499Z x = self.conv_pw(x) 2025-08-14T21:37:53.2641535Z 2025-08-14T21:37:53.2641817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2642025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2642090Z return mod(*inputs) 2025-08-14T21:37:53.2642306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2642385Z x = self.forward_features(x) 2025-08-14T21:37:53.2642626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2642689Z x = self.blocks(x) 2025-08-14T21:37:53.2642935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2642998Z x = self.bn1(x) 2025-08-14T21:37:53.2643213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2643282Z x = F.batch_norm( 2025-08-14T21:37:53.2643285Z 2025-08-14T21:37:53.2643388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2643600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2643668Z return mod(*inputs) 2025-08-14T21:37:53.2643886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2643968Z x = self.forward_features(x) 2025-08-14T21:37:53.2644211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2644286Z x = self.blocks(x) 2025-08-14T21:37:53.2644523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2644587Z x = self.bn1(x) 2025-08-14T21:37:53.2644803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2644866Z x = self.act(x) 2025-08-14T21:37:53.2644869Z 2025-08-14T21:37:53.2644953Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2645063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2645267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2645342Z return mod(*inputs) 2025-08-14T21:37:53.2645559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2645630Z x = self.forward_features(x) 2025-08-14T21:37:53.2645917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2645981Z x = self.blocks(x) 2025-08-14T21:37:53.2646210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2646285Z x = self.conv_dw(x) 2025-08-14T21:37:53.2646486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2646596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2646805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2646906Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2646909Z 2025-08-14T21:37:53.2646995Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2647092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2647294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2647358Z return mod(*inputs) 2025-08-14T21:37:53.2647564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2647692Z x = self.forward_features(x) 2025-08-14T21:37:53.2647925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2647985Z x = self.blocks(x) 2025-08-14T21:37:53.2648215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2648277Z x = self.conv_dw(x) 2025-08-14T21:37:53.2648486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2648588Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2648803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2648909Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2648912Z 2025-08-14T21:37:53.2648991Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2649092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2649294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2649359Z return mod(*inputs) 2025-08-14T21:37:53.2649573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2649644Z x = self.forward_features(x) 2025-08-14T21:37:53.2649873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2649943Z x = self.blocks(x) 2025-08-14T21:37:53.2650166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2650232Z x = self.conv_dw(x) 2025-08-14T21:37:53.2650449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2650558Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2650788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2650893Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2650896Z 2025-08-14T21:37:53.2650979Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2651093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2651299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2651372Z return mod(*inputs) 2025-08-14T21:37:53.2651625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2651696Z x = self.forward_features(x) 2025-08-14T21:37:53.2651945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2652013Z x = self.blocks(x) 2025-08-14T21:37:53.2652248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2652322Z x = self.conv_dw(x) 2025-08-14T21:37:53.2652539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2652644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2652855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2652952Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2652958Z 2025-08-14T21:37:53.2653042Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2653119Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2653193Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2653273Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2653400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2653602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2653665Z return mod(*inputs) 2025-08-14T21:37:53.2653870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2653944Z x = self.forward_features(x) 2025-08-14T21:37:53.2654174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2654236Z x = self.blocks(x) 2025-08-14T21:37:53.2654463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2654528Z x = self.conv_dw(x) 2025-08-14T21:37:53.2654737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2654802Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2654808Z 2025-08-14T21:37:53.2654884Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2654991Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2655188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2655251Z return mod(*inputs) 2025-08-14T21:37:53.2655470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2655538Z x = self.forward_features(x) 2025-08-14T21:37:53.2655774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2655839Z x = self.blocks(x) 2025-08-14T21:37:53.2656063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2656131Z x = self.se(x) 2025-08-14T21:37:53.2656354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2656427Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2656438Z 2025-08-14T21:37:53.2656539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2656737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2656811Z return mod(*inputs) 2025-08-14T21:37:53.2657030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2657101Z x = self.forward_features(x) 2025-08-14T21:37:53.2657353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2657460Z x = self.blocks(x) 2025-08-14T21:37:53.2657697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2657770Z x = self.se(x) 2025-08-14T21:37:53.2658004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2658086Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2658090Z 2025-08-14T21:37:53.2658196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2658403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2658479Z return mod(*inputs) 2025-08-14T21:37:53.2658699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2658780Z x = self.forward_features(x) 2025-08-14T21:37:53.2659025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2659089Z x = self.blocks(x) 2025-08-14T21:37:53.2659365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2659429Z x = self.se(x) 2025-08-14T21:37:53.2659740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2659830Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2659834Z 2025-08-14T21:37:53.2659945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2660165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2660236Z return mod(*inputs) 2025-08-14T21:37:53.2660462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2660551Z x = self.forward_features(x) 2025-08-14T21:37:53.2660801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2660869Z x = self.blocks(x) 2025-08-14T21:37:53.2661129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2661189Z x = self.se(x) 2025-08-14T21:37:53.2661417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2661488Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2661491Z 2025-08-14T21:37:53.2661592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2661810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2661879Z return mod(*inputs) 2025-08-14T21:37:53.2662106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2662187Z x = self.forward_features(x) 2025-08-14T21:37:53.2662435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2662512Z x = self.blocks(x) 2025-08-14T21:37:53.2662752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2662815Z x = self.se(x) 2025-08-14T21:37:53.2663059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2663131Z return x * self.gate(x_se) 2025-08-14T21:37:53.2663135Z 2025-08-14T21:37:53.2663249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2663456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2663563Z return mod(*inputs) 2025-08-14T21:37:53.2663796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2663869Z x = self.forward_features(x) 2025-08-14T21:37:53.2664119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2664194Z x = self.blocks(x) 2025-08-14T21:37:53.2664432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2664501Z x = self.se(x) 2025-08-14T21:37:53.2664739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2664813Z return x * self.gate(x_se) 2025-08-14T21:37:53.2664817Z 2025-08-14T21:37:53.2664909Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2665016Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2665226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2665303Z return mod(*inputs) 2025-08-14T21:37:53.2665527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2665636Z x = self.forward_features(x) 2025-08-14T21:37:53.2665884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2665950Z x = self.blocks(x) 2025-08-14T21:37:53.2666193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2666263Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2666482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2666603Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2666833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2666949Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2666953Z 2025-08-14T21:37:53.2667037Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2667145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2667361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2667430Z return mod(*inputs) 2025-08-14T21:37:53.2667654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2667734Z x = self.forward_features(x) 2025-08-14T21:37:53.2667981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2668052Z x = self.blocks(x) 2025-08-14T21:37:53.2668292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2668366Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2668592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2668705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2668939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2669046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2669050Z 2025-08-14T21:37:53.2669134Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2669224Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2669340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2669529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2669638Z return mod(*inputs) 2025-08-14T21:37:53.2669844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2669919Z x = self.forward_features(x) 2025-08-14T21:37:53.2670151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2670212Z x = self.blocks(x) 2025-08-14T21:37:53.2670444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2670510Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2670713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2670789Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2670792Z 2025-08-14T21:37:53.2670892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2671093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2671161Z return mod(*inputs) 2025-08-14T21:37:53.2671368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2671443Z x = self.forward_features(x) 2025-08-14T21:37:53.2671703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2671767Z x = self.blocks(x) 2025-08-14T21:37:53.2672002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2672072Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2672076Z 2025-08-14T21:37:53.2672180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2672374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2672439Z return mod(*inputs) 2025-08-14T21:37:53.2672658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2672725Z x = self.forward_features(x) 2025-08-14T21:37:53.2672955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2673027Z x = self.blocks(x) 2025-08-14T21:37:53.2673249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2673318Z x = self.conv_pw(x) 2025-08-14T21:37:53.2673321Z 2025-08-14T21:37:53.2673419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2673611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2673683Z return mod(*inputs) 2025-08-14T21:37:53.2673889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2673965Z x = self.forward_features(x) 2025-08-14T21:37:53.2674194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2674254Z x = self.blocks(x) 2025-08-14T21:37:53.2674485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2674546Z x = self.bn1(x) 2025-08-14T21:37:53.2674743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2674812Z x = F.batch_norm( 2025-08-14T21:37:53.2674816Z 2025-08-14T21:37:53.2674914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2675110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2675174Z return mod(*inputs) 2025-08-14T21:37:53.2675382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2675515Z x = self.forward_features(x) 2025-08-14T21:37:53.2675748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2675809Z x = self.blocks(x) 2025-08-14T21:37:53.2676045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2676104Z x = self.bn1(x) 2025-08-14T21:37:53.2676313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2676373Z x = self.act(x) 2025-08-14T21:37:53.2676377Z 2025-08-14T21:37:53.2676454Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2676562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2676756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2676824Z return mod(*inputs) 2025-08-14T21:37:53.2677044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2677109Z x = self.forward_features(x) 2025-08-14T21:37:53.2677391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2677454Z x = self.blocks(x) 2025-08-14T21:37:53.2677676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2677749Z x = self.conv_dw(x) 2025-08-14T21:37:53.2677950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2678051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2678272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2678376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2678379Z 2025-08-14T21:37:53.2678462Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2678560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2678754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2678826Z return mod(*inputs) 2025-08-14T21:37:53.2679036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2679101Z x = self.forward_features(x) 2025-08-14T21:37:53.2679340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2679405Z x = self.blocks(x) 2025-08-14T21:37:53.2679645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2679709Z x = self.conv_dw(x) 2025-08-14T21:37:53.2679925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2680037Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2680260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2680373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2680377Z 2025-08-14T21:37:53.2680457Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2680561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2680771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2680838Z return mod(*inputs) 2025-08-14T21:37:53.2681056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2681135Z x = self.forward_features(x) 2025-08-14T21:37:53.2681416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2681488Z x = self.blocks(x) 2025-08-14T21:37:53.2681729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2681794Z x = self.conv_dw(x) 2025-08-14T21:37:53.2682015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2682120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2682344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2682454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2682457Z 2025-08-14T21:37:53.2682538Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2682661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2682858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2682921Z return mod(*inputs) 2025-08-14T21:37:53.2683137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2683240Z x = self.forward_features(x) 2025-08-14T21:37:53.2683485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2683558Z x = self.blocks(x) 2025-08-14T21:37:53.2683795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2683869Z x = self.conv_dw(x) 2025-08-14T21:37:53.2684085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2684190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2684426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2684539Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2684542Z 2025-08-14T21:37:53.2684629Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2684707Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2684783Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2684866Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2684965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2685160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2685232Z return mod(*inputs) 2025-08-14T21:37:53.2685442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2685516Z x = self.forward_features(x) 2025-08-14T21:37:53.2685752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2685812Z x = self.blocks(x) 2025-08-14T21:37:53.2686042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2686106Z x = self.conv_dw(x) 2025-08-14T21:37:53.2686310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2686390Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2686393Z 2025-08-14T21:37:53.2686467Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2686572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2686767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2686833Z return mod(*inputs) 2025-08-14T21:37:53.2687063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2687168Z x = self.forward_features(x) 2025-08-14T21:37:53.2687411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2687483Z x = self.blocks(x) 2025-08-14T21:37:53.2687723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2687793Z x = self.se(x) 2025-08-14T21:37:53.2688026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2688101Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2688105Z 2025-08-14T21:37:53.2688219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2688425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2688494Z return mod(*inputs) 2025-08-14T21:37:53.2688726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2688799Z x = self.forward_features(x) 2025-08-14T21:37:53.2689093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2689160Z x = self.blocks(x) 2025-08-14T21:37:53.2689396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2689467Z x = self.se(x) 2025-08-14T21:37:53.2689701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2689776Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2689788Z 2025-08-14T21:37:53.2689893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2690098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2690175Z return mod(*inputs) 2025-08-14T21:37:53.2690398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2690468Z x = self.forward_features(x) 2025-08-14T21:37:53.2690723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2690787Z x = self.blocks(x) 2025-08-14T21:37:53.2691022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2691092Z x = self.se(x) 2025-08-14T21:37:53.2691323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2691401Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2691404Z 2025-08-14T21:37:53.2691509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2691722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2691800Z return mod(*inputs) 2025-08-14T21:37:53.2692021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2692099Z x = self.forward_features(x) 2025-08-14T21:37:53.2692345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2692411Z x = self.blocks(x) 2025-08-14T21:37:53.2692651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2692713Z x = self.se(x) 2025-08-14T21:37:53.2692945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2693026Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2693030Z 2025-08-14T21:37:53.2693133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2693379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2693447Z return mod(*inputs) 2025-08-14T21:37:53.2693670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2693749Z x = self.forward_features(x) 2025-08-14T21:37:53.2693991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2694056Z x = self.blocks(x) 2025-08-14T21:37:53.2694300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2694362Z x = self.se(x) 2025-08-14T21:37:53.2694603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2694675Z return x * self.gate(x_se) 2025-08-14T21:37:53.2694682Z 2025-08-14T21:37:53.2694785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2694998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2695064Z return mod(*inputs) 2025-08-14T21:37:53.2695569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2695650Z x = self.forward_features(x) 2025-08-14T21:37:53.2695893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2695967Z x = self.blocks(x) 2025-08-14T21:37:53.2696204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2696266Z x = self.se(x) 2025-08-14T21:37:53.2696508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2696584Z return x * self.gate(x_se) 2025-08-14T21:37:53.2696587Z 2025-08-14T21:37:53.2696677Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2696783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2696993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2697068Z return mod(*inputs) 2025-08-14T21:37:53.2697290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2697361Z x = self.forward_features(x) 2025-08-14T21:37:53.2697617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2697682Z x = self.blocks(x) 2025-08-14T21:37:53.2697927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2697996Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2698218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2698335Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2698564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2698673Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2698676Z 2025-08-14T21:37:53.2698767Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2698870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2699081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2699148Z return mod(*inputs) 2025-08-14T21:37:53.2699367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2699446Z x = self.forward_features(x) 2025-08-14T21:37:53.2699811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2699884Z x = self.blocks(x) 2025-08-14T21:37:53.2700136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2700205Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2700431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2700539Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2700766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2700881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2700885Z 2025-08-14T21:37:53.2700967Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2701058Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2701168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2701371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2701447Z return mod(*inputs) 2025-08-14T21:37:53.2701721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2701797Z x = self.forward_features(x) 2025-08-14T21:37:53.2702058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2702119Z x = self.blocks(x) 2025-08-14T21:37:53.2702343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2702416Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2702619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2702696Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2702699Z 2025-08-14T21:37:53.2702800Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2702993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2703064Z return mod(*inputs) 2025-08-14T21:37:53.2703276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2703351Z x = self.forward_features(x) 2025-08-14T21:37:53.2703582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2703643Z x = self.blocks(x) 2025-08-14T21:37:53.2703875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2703947Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2703950Z 2025-08-14T21:37:53.2704049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2704255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2704318Z return mod(*inputs) 2025-08-14T21:37:53.2704536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2704603Z x = self.forward_features(x) 2025-08-14T21:37:53.2704836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2704904Z x = self.blocks(x) 2025-08-14T21:37:53.2705126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:53.2705189Z x = self.conv_pw(x) 2025-08-14T21:37:53.2705200Z 2025-08-14T21:37:53.2705298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2705491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2705600Z return mod(*inputs) 2025-08-14T21:37:53.2705808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2705875Z x = self.forward_features(x) 2025-08-14T21:37:53.2706116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2706177Z x = self.blocks(x) 2025-08-14T21:37:53.2706400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2706470Z x = self.bn1(x) 2025-08-14T21:37:53.2706667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:53.2706735Z x = F.batch_norm( 2025-08-14T21:37:53.2706739Z 2025-08-14T21:37:53.2706837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2707030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2707103Z return mod(*inputs) 2025-08-14T21:37:53.2707312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2707386Z x = self.forward_features(x) 2025-08-14T21:37:53.2707648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2707711Z x = self.blocks(x) 2025-08-14T21:37:53.2707943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:53.2708003Z x = self.bn1(x) 2025-08-14T21:37:53.2708201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:53.2708269Z x = self.act(x) 2025-08-14T21:37:53.2708272Z 2025-08-14T21:37:53.2708349Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2708457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2708649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2708713Z return mod(*inputs) 2025-08-14T21:37:53.2708931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2708999Z x = self.forward_features(x) 2025-08-14T21:37:53.2709230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2709299Z x = self.blocks(x) 2025-08-14T21:37:53.2709521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2709591Z x = self.conv_dw(x) 2025-08-14T21:37:53.2709793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2709898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2710119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2710218Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2710221Z 2025-08-14T21:37:53.2710300Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2710407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2710601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2710672Z return mod(*inputs) 2025-08-14T21:37:53.2710881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2710948Z x = self.forward_features(x) 2025-08-14T21:37:53.2711185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2711280Z x = self.blocks(x) 2025-08-14T21:37:53.2711505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2711575Z x = self.conv_dw(x) 2025-08-14T21:37:53.2711781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2711888Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2712101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2712202Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2712205Z 2025-08-14T21:37:53.2712291Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2712390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2712591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2712658Z return mod(*inputs) 2025-08-14T21:37:53.2712865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2712941Z x = self.forward_features(x) 2025-08-14T21:37:53.2713203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2713267Z x = self.blocks(x) 2025-08-14T21:37:53.2713504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2713566Z x = self.conv_dw(x) 2025-08-14T21:37:53.2713781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2713881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2714096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2714204Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2714207Z 2025-08-14T21:37:53.2714285Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2714385Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2714593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2714659Z return mod(*inputs) 2025-08-14T21:37:53.2714879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2714947Z x = self.forward_features(x) 2025-08-14T21:37:53.2715183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2715252Z x = self.blocks(x) 2025-08-14T21:37:53.2715479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2715544Z x = self.conv_dw(x) 2025-08-14T21:37:53.2715760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2715859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2716086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2716186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2716189Z 2025-08-14T21:37:53.2716267Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2716352Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2716426Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2716501Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2716610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2716808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2716917Z return mod(*inputs) 2025-08-14T21:37:53.2717126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2717194Z x = self.forward_features(x) 2025-08-14T21:37:53.2717434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2717507Z x = self.blocks(x) 2025-08-14T21:37:53.2717724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:53.2717793Z x = self.conv_dw(x) 2025-08-14T21:37:53.2717991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2718062Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2718065Z 2025-08-14T21:37:53.2718138Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2718233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2718436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2718497Z return mod(*inputs) 2025-08-14T21:37:53.2718698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2718799Z x = self.forward_features(x) 2025-08-14T21:37:53.2719025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2719089Z x = self.blocks(x) 2025-08-14T21:37:53.2719307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2719364Z x = self.se(x) 2025-08-14T21:37:53.2719584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:53.2719655Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:53.2719658Z 2025-08-14T21:37:53.2719767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2719954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2720015Z return mod(*inputs) 2025-08-14T21:37:53.2720226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2720293Z x = self.forward_features(x) 2025-08-14T21:37:53.2720524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2720593Z x = self.blocks(x) 2025-08-14T21:37:53.2720816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2720882Z x = self.se(x) 2025-08-14T21:37:53.2721102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:53.2721173Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:53.2721179Z 2025-08-14T21:37:53.2721286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2721477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2721540Z return mod(*inputs) 2025-08-14T21:37:53.2721756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2721824Z x = self.forward_features(x) 2025-08-14T21:37:53.2722060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2722122Z x = self.blocks(x) 2025-08-14T21:37:53.2722344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2722411Z x = self.se(x) 2025-08-14T21:37:53.2722631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:53.2722745Z x_se = self.act1(x_se) 2025-08-14T21:37:53.2722756Z 2025-08-14T21:37:53.2722855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2723045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2723121Z return mod(*inputs) 2025-08-14T21:37:53.2723329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2723398Z x = self.forward_features(x) 2025-08-14T21:37:53.2723635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2723696Z x = self.blocks(x) 2025-08-14T21:37:53.2723917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2723984Z x = self.se(x) 2025-08-14T21:37:53.2724205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:53.2724287Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:53.2724291Z 2025-08-14T21:37:53.2724390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2724618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2724697Z return mod(*inputs) 2025-08-14T21:37:53.2724915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2724994Z x = self.forward_features(x) 2025-08-14T21:37:53.2725237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2725299Z x = self.blocks(x) 2025-08-14T21:37:53.2725526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2725588Z x = self.se(x) 2025-08-14T21:37:53.2725807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2725884Z return x * self.gate(x_se) 2025-08-14T21:37:53.2725887Z 2025-08-14T21:37:53.2725985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2726187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2726252Z return mod(*inputs) 2025-08-14T21:37:53.2726456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2726532Z x = self.forward_features(x) 2025-08-14T21:37:53.2726761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2726822Z x = self.blocks(x) 2025-08-14T21:37:53.2727051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:53.2727112Z x = self.se(x) 2025-08-14T21:37:53.2727337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:53.2727405Z return x * self.gate(x_se) 2025-08-14T21:37:53.2727408Z 2025-08-14T21:37:53.2727487Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2727593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2727788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2727854Z return mod(*inputs) 2025-08-14T21:37:53.2728078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2728148Z x = self.forward_features(x) 2025-08-14T21:37:53.2728408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2728506Z x = self.blocks(x) 2025-08-14T21:37:53.2728730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2728805Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2729013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2729117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2729337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2729439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2729442Z 2025-08-14T21:37:53.2729528Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2729629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2729831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2729912Z return mod(*inputs) 2025-08-14T21:37:53.2730338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2730426Z x = self.forward_features(x) 2025-08-14T21:37:53.2730743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2730811Z x = self.blocks(x) 2025-08-14T21:37:53.2731054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2731126Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2731343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:53.2731459Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2731686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:53.2731795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:53.2731799Z 2025-08-14T21:37:53.2731876Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2731951Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2732060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2732257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2732322Z return mod(*inputs) 2025-08-14T21:37:53.2732538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2732606Z x = self.forward_features(x) 2025-08-14T21:37:53.2732842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2732904Z x = self.blocks(x) 2025-08-14T21:37:53.2733127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:53.2733203Z x = self.conv_pwl(x) 2025-08-14T21:37:53.2733408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:53.2733474Z x = torch.cat(x_out, 1) 2025-08-14T21:37:53.2733486Z 2025-08-14T21:37:53.2733588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2733783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2733856Z return mod(*inputs) 2025-08-14T21:37:53.2734062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2734130Z x = self.forward_features(x) 2025-08-14T21:37:53.2734371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:53.2734432Z x = self.blocks(x) 2025-08-14T21:37:53.2734654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:53.2734786Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:53.2734789Z 2025-08-14T21:37:53.2734894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2735106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2735174Z return mod(*inputs) 2025-08-14T21:37:53.2735395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:53.2735476Z x = self.forward_features(x) 2025-08-14T21:37:53.2735724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-14T21:37:53.2735802Z x = self.conv_head(x) 2025-08-14T21:37:53.2735806Z 2025-08-14T21:37:53.2735886Z cudagraph partition due to non gpu ops 2025-08-14T21:37:53.2735990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2736204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2736271Z return mod(*inputs) 2025-08-14T21:37:53.2736491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:37:53.2736606Z x = self.forward_head(x) 2025-08-14T21:37:53.2736848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:37:53.2736930Z x = self.global_pool(x) 2025-08-14T21:37:53.2737183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:37:53.2737250Z x = self.pool(x) 2025-08-14T21:37:53.2737254Z 2025-08-14T21:37:53.2737372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:53.2737582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:53.2737655Z return mod(*inputs) 2025-08-14T21:37:53.2737888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:37:53.2737963Z x = self.forward_head(x) 2025-08-14T21:37:53.2738213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-14T21:37:53.2738322Z return x if pre_logits else self.classifier(x) 2025-08-14T21:37:53.2738326Z 2025-08-14T21:38:18.8089287Z Compilation time (from dynamo_timed): 56.390310157 2025-08-14T21:38:18.8089588Z pass 2025-08-14T21:38:18.8092419Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:38:18.8093454Z TIMING: _recursive_pre_grad_passes:0.01201 _recursive_joint_graph_passes:0.21164 _recursive_post_grad_passes:0.17075 async_compile.wait:0.94417 code_gen:23.91999 inductor_compile:30.17469 backend_compile:45.48765 gc:0.00098 entire_frame_compile:56.39031 total_wall_time:56.39031 2025-08-14T21:38:18.8094624Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:20148 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:9684 | ProxyTorchDispatchMode.__torch_dispatch__:7333 2025-08-14T21:38:18.8095282Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-08-14T21:38:26.2048609Z 2025-08-14T21:38:26.3098302Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:38:26.3098534Z 2025-08-14T21:38:26.3733150Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-14T22:00:52.3630949Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3631123Z 2025-08-14T22:00:52.3631214Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3631478Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3631923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3632269Z return mod(*inputs) 2025-08-14T22:00:52.3632615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3632999Z x = self.forward_features(x) 2025-08-14T22:00:52.3633393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3634027Z x = self.blocks(x) 2025-08-14T22:00:52.3634387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3634774Z x = self.conv_pw(x) 2025-08-14T22:00:52.3635107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3635517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3635942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3636360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3636530Z 2025-08-14T22:00:52.3636620Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3636849Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3637110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3637492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3641035Z return mod(*inputs) 2025-08-14T22:00:52.3641396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3641794Z x = self.forward_features(x) 2025-08-14T22:00:52.3642185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3642572Z x = self.blocks(x) 2025-08-14T22:00:52.3642927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3643309Z x = self.conv_pw(x) 2025-08-14T22:00:52.3643708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3644088Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3644208Z 2025-08-14T22:00:52.3644326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3644707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3645102Z return mod(*inputs) 2025-08-14T22:00:52.3645486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3645859Z x = self.forward_features(x) 2025-08-14T22:00:52.3646248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3646632Z x = self.blocks(x) 2025-08-14T22:00:52.3646996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3647382Z x = self.bn1(x) 2025-08-14T22:00:52.3647705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3648042Z x = self.act(x) 2025-08-14T22:00:52.3648149Z 2025-08-14T22:00:52.3648261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3648653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3648988Z return mod(*inputs) 2025-08-14T22:00:52.3649341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3649705Z x = self.forward_features(x) 2025-08-14T22:00:52.3650110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3650496Z x = self.blocks(x) 2025-08-14T22:00:52.3650848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3651239Z x = self.conv_dw(x) 2025-08-14T22:00:52.3651583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3652000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3652431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3652856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3653267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3653632Z return conv2d_same( 2025-08-14T22:00:52.3653987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3654412Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3654816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3655261Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3655697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3656094Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3656358Z 2025-08-14T22:00:52.3656472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3656860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3657208Z return mod(*inputs) 2025-08-14T22:00:52.3657552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3657920Z x = self.forward_features(x) 2025-08-14T22:00:52.3658328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3658735Z x = self.blocks(x) 2025-08-14T22:00:52.3659083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3659474Z x = self.conv_dw(x) 2025-08-14T22:00:52.3659811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3660343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3660759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3661180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3661604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3661970Z return conv2d_same( 2025-08-14T22:00:52.3662317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3662770Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3662978Z 2025-08-14T22:00:52.3663101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3663493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3663855Z return mod(*inputs) 2025-08-14T22:00:52.3664203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3664591Z x = self.forward_features(x) 2025-08-14T22:00:52.3664978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3665407Z x = self.blocks(x) 2025-08-14T22:00:52.3665769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3666151Z x = self.conv_dw(x) 2025-08-14T22:00:52.3666486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3666899Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3667319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3667731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3668131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3668495Z return conv2d_same( 2025-08-14T22:00:52.3668833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3669246Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3669636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3670072Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3670490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3670876Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3671085Z 2025-08-14T22:00:52.3671204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3671593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3671934Z return mod(*inputs) 2025-08-14T22:00:52.3672271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3672645Z x = self.forward_features(x) 2025-08-14T22:00:52.3673020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3673441Z x = self.blocks(x) 2025-08-14T22:00:52.3673796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3674180Z x = self.conv_dw(x) 2025-08-14T22:00:52.3674507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3674917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3675355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3675744Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3676126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3676476Z return conv2d_same( 2025-08-14T22:00:52.3676810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3677231Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3677430Z 2025-08-14T22:00:52.3677540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3677927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3678288Z return mod(*inputs) 2025-08-14T22:00:52.3678609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3678972Z x = self.forward_features(x) 2025-08-14T22:00:52.3679348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3679717Z x = self.blocks(x) 2025-08-14T22:00:52.3680081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3680456Z x = self.conv_dw(x) 2025-08-14T22:00:52.3680782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3681165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3681565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3681968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3682354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3682704Z return conv2d_same( 2025-08-14T22:00:52.3683037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3683442Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3683820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3684255Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3684662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3685024Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3685191Z 2025-08-14T22:00:52.3685300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3685708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3686052Z return mod(*inputs) 2025-08-14T22:00:52.3686374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3686740Z x = self.forward_features(x) 2025-08-14T22:00:52.3687116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3687493Z x = self.blocks(x) 2025-08-14T22:00:52.3687853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3688228Z x = self.conv_dw(x) 2025-08-14T22:00:52.3688573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3688988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3689398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3689826Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3690218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3690583Z return conv2d_same( 2025-08-14T22:00:52.3690926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3691363Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3691560Z 2025-08-14T22:00:52.3691652Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3691887Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3692110Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3692361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3692744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3693096Z return mod(*inputs) 2025-08-14T22:00:52.3693439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3693806Z x = self.forward_features(x) 2025-08-14T22:00:52.3694211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3694607Z x = self.blocks(x) 2025-08-14T22:00:52.3694967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3695349Z x = self.conv_dw(x) 2025-08-14T22:00:52.3695682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3696053Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3696174Z 2025-08-14T22:00:52.3696287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3696676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3697021Z return mod(*inputs) 2025-08-14T22:00:52.3697358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3697735Z x = self.forward_features(x) 2025-08-14T22:00:52.3698120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3698517Z x = self.blocks(x) 2025-08-14T22:00:52.3698863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T22:00:52.3699242Z x = self.bn2(x) 2025-08-14T22:00:52.3699564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3699909Z x = self.act(x) 2025-08-14T22:00:52.3700133Z 2025-08-14T22:00:52.3700248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3700642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3700999Z return mod(*inputs) 2025-08-14T22:00:52.3701333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3701713Z x = self.forward_features(x) 2025-08-14T22:00:52.3702101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3702518Z x = self.blocks(x) 2025-08-14T22:00:52.3702868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3703255Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3703600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3703999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3704432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3704852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3705023Z 2025-08-14T22:00:52.3705142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3705520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3705874Z return mod(*inputs) 2025-08-14T22:00:52.3706220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3706572Z x = self.forward_features(x) 2025-08-14T22:00:52.3706950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3707339Z x = self.blocks(x) 2025-08-14T22:00:52.3707700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3708079Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3708421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3708810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3709241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3709636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3709810Z 2025-08-14T22:00:52.3709895Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3710123Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3710363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3710740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3711084Z return mod(*inputs) 2025-08-14T22:00:52.3711420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3711772Z x = self.forward_features(x) 2025-08-14T22:00:52.3712156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3712565Z x = self.blocks(x) 2025-08-14T22:00:52.3712914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3713312Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3713676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3714042Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3714169Z 2025-08-14T22:00:52.3714279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3714666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3715084Z return mod(*inputs) 2025-08-14T22:00:52.3715421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3715787Z x = self.forward_features(x) 2025-08-14T22:00:52.3716160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3716537Z x = self.blocks(x) 2025-08-14T22:00:52.3716903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T22:00:52.3717286Z x = self.bn3(x) 2025-08-14T22:00:52.3717610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.3717976Z x = F.batch_norm( 2025-08-14T22:00:52.3718091Z 2025-08-14T22:00:52.3718199Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3718587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3718953Z return mod(*inputs) 2025-08-14T22:00:52.3719291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3719671Z x = self.forward_features(x) 2025-08-14T22:00:52.3720060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3720445Z x = self.blocks(x) 2025-08-14T22:00:52.3720803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3721192Z x = self.conv_pw(x) 2025-08-14T22:00:52.3721530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3721928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3722342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3722753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3722926Z 2025-08-14T22:00:52.3723047Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3723445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3723795Z return mod(*inputs) 2025-08-14T22:00:52.3724133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3724501Z x = self.forward_features(x) 2025-08-14T22:00:52.3724888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3725281Z x = self.blocks(x) 2025-08-14T22:00:52.3725637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3726014Z x = self.conv_pw(x) 2025-08-14T22:00:52.3726354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3726754Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3727159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3727572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3727751Z 2025-08-14T22:00:52.3727842Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3728079Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3728327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3728715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3729067Z return mod(*inputs) 2025-08-14T22:00:52.3729423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3729801Z x = self.forward_features(x) 2025-08-14T22:00:52.3730377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3730776Z x = self.blocks(x) 2025-08-14T22:00:52.3731131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3731515Z x = self.conv_pw(x) 2025-08-14T22:00:52.3731914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3732276Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3732408Z 2025-08-14T22:00:52.3732518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3732907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3733264Z return mod(*inputs) 2025-08-14T22:00:52.3733600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3734005Z x = self.forward_features(x) 2025-08-14T22:00:52.3734401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3734792Z x = self.blocks(x) 2025-08-14T22:00:52.3735151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3735535Z x = self.bn1(x) 2025-08-14T22:00:52.3735855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3736192Z x = self.act(x) 2025-08-14T22:00:52.3736296Z 2025-08-14T22:00:52.3736403Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3736786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3737128Z return mod(*inputs) 2025-08-14T22:00:52.3737470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3737852Z x = self.forward_features(x) 2025-08-14T22:00:52.3738261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3738645Z x = self.blocks(x) 2025-08-14T22:00:52.3739002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3739394Z x = self.conv_dw(x) 2025-08-14T22:00:52.3739502Z 2025-08-14T22:00:52.3739615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3740061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3740422Z return mod(*inputs) 2025-08-14T22:00:52.3740767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3741142Z x = self.forward_features(x) 2025-08-14T22:00:52.3741530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3741923Z x = self.blocks(x) 2025-08-14T22:00:52.3742277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T22:00:52.3742660Z x = self.bn2(x) 2025-08-14T22:00:52.3742995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3743338Z x = self.act(x) 2025-08-14T22:00:52.3743438Z 2025-08-14T22:00:52.3743545Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3743928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3744266Z return mod(*inputs) 2025-08-14T22:00:52.3744635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3745002Z x = self.forward_features(x) 2025-08-14T22:00:52.3745377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3745755Z x = self.blocks(x) 2025-08-14T22:00:52.3746095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3746471Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3746821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3747212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3747625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3748040Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3748212Z 2025-08-14T22:00:52.3748359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3748740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3749096Z return mod(*inputs) 2025-08-14T22:00:52.3749446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3749837Z x = self.forward_features(x) 2025-08-14T22:00:52.3750223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3750605Z x = self.blocks(x) 2025-08-14T22:00:52.3750961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3751377Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3751709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3752108Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3752517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3752920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3753092Z 2025-08-14T22:00:52.3753196Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3753420Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3753658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3754047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3754395Z return mod(*inputs) 2025-08-14T22:00:52.3754734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3755111Z x = self.forward_features(x) 2025-08-14T22:00:52.3755499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3755898Z x = self.blocks(x) 2025-08-14T22:00:52.3756239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3756613Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3756950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3757313Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3757434Z 2025-08-14T22:00:52.3757545Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3757932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3758282Z return mod(*inputs) 2025-08-14T22:00:52.3758628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3759021Z x = self.forward_features(x) 2025-08-14T22:00:52.3759397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3759794Z x = self.blocks(x) 2025-08-14T22:00:52.3760143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.3760538Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.3760674Z 2025-08-14T22:00:52.3760793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3761187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3761540Z return mod(*inputs) 2025-08-14T22:00:52.3761868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3762232Z x = self.forward_features(x) 2025-08-14T22:00:52.3762603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3763029Z x = self.blocks(x) 2025-08-14T22:00:52.3763381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3763751Z x = self.conv_pw(x) 2025-08-14T22:00:52.3763866Z 2025-08-14T22:00:52.3763977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3764357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3764703Z return mod(*inputs) 2025-08-14T22:00:52.3765035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3765408Z x = self.forward_features(x) 2025-08-14T22:00:52.3765789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3766175Z x = self.blocks(x) 2025-08-14T22:00:52.3766524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3766904Z x = self.bn1(x) 2025-08-14T22:00:52.3767221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.3767562Z x = F.batch_norm( 2025-08-14T22:00:52.3767672Z 2025-08-14T22:00:52.3767798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3768185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3768531Z return mod(*inputs) 2025-08-14T22:00:52.3768860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3769229Z x = self.forward_features(x) 2025-08-14T22:00:52.3769607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3769988Z x = self.blocks(x) 2025-08-14T22:00:52.3770342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3770718Z x = self.bn1(x) 2025-08-14T22:00:52.3771033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3771372Z x = self.act(x) 2025-08-14T22:00:52.3771476Z 2025-08-14T22:00:52.3771585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3771970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3772310Z return mod(*inputs) 2025-08-14T22:00:52.3772649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3773034Z x = self.forward_features(x) 2025-08-14T22:00:52.3773424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3773821Z x = self.blocks(x) 2025-08-14T22:00:52.3774171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3774546Z x = self.conv_dw(x) 2025-08-14T22:00:52.3774876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3775289Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3775725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3776142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3776541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3776904Z return conv2d_same( 2025-08-14T22:00:52.3777250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3777672Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3778062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3778519Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3778945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3779322Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3779498Z 2025-08-14T22:00:52.3779609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3780082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3780443Z return mod(*inputs) 2025-08-14T22:00:52.3780781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3781175Z x = self.forward_features(x) 2025-08-14T22:00:52.3781572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3781953Z x = self.blocks(x) 2025-08-14T22:00:52.3782328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3782701Z x = self.conv_dw(x) 2025-08-14T22:00:52.3783019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3783413Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3783811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3784209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3784584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3784935Z return conv2d_same( 2025-08-14T22:00:52.3785268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3785694Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3785885Z 2025-08-14T22:00:52.3785995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3786370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3786712Z return mod(*inputs) 2025-08-14T22:00:52.3787039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3787427Z x = self.forward_features(x) 2025-08-14T22:00:52.3787799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3788205Z x = self.blocks(x) 2025-08-14T22:00:52.3788555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3788930Z x = self.conv_dw(x) 2025-08-14T22:00:52.3789258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3789647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3790054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3790452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3790817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3791197Z return conv2d_same( 2025-08-14T22:00:52.3791529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3791925Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3792315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3792736Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3793149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3793519Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3793678Z 2025-08-14T22:00:52.3793788Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3794166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3794506Z return mod(*inputs) 2025-08-14T22:00:52.3794837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3795196Z x = self.forward_features(x) 2025-08-14T22:00:52.3795571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3795954Z x = self.blocks(x) 2025-08-14T22:00:52.3796296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3796686Z x = self.conv_dw(x) 2025-08-14T22:00:52.3797016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3797403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3797801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3798211Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3798605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3798953Z return conv2d_same( 2025-08-14T22:00:52.3799297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3799732Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3799926Z 2025-08-14T22:00:52.3800045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3800420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3800767Z return mod(*inputs) 2025-08-14T22:00:52.3801106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3801475Z x = self.forward_features(x) 2025-08-14T22:00:52.3801845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3802227Z x = self.blocks(x) 2025-08-14T22:00:52.3802597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3802963Z x = self.conv_dw(x) 2025-08-14T22:00:52.3803291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3803683Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3804086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3804481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3804881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3805229Z return conv2d_same( 2025-08-14T22:00:52.3805556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3805950Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3806350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3806772Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3807182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3807559Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3807723Z 2025-08-14T22:00:52.3807843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3808228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3808571Z return mod(*inputs) 2025-08-14T22:00:52.3808915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3809284Z x = self.forward_features(x) 2025-08-14T22:00:52.3809662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3810055Z x = self.blocks(x) 2025-08-14T22:00:52.3810419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3810805Z x = self.conv_dw(x) 2025-08-14T22:00:52.3811156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3811563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3811976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3812382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3812780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3813139Z return conv2d_same( 2025-08-14T22:00:52.3813480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3813911Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3814113Z 2025-08-14T22:00:52.3814223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3814613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3814955Z return mod(*inputs) 2025-08-14T22:00:52.3815299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3815689Z x = self.forward_features(x) 2025-08-14T22:00:52.3816076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3816476Z x = self.blocks(x) 2025-08-14T22:00:52.3816844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3817243Z x = self.conv_dw(x) 2025-08-14T22:00:52.3817565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3817964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3818377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3818787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3819201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3819573Z return conv2d_same( 2025-08-14T22:00:52.3819916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.3820415Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.3820806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.3821271Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.3821698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.3822081Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.3822258Z 2025-08-14T22:00:52.3822372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3822773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3823131Z return mod(*inputs) 2025-08-14T22:00:52.3823473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3823858Z x = self.forward_features(x) 2025-08-14T22:00:52.3824254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3824654Z x = self.blocks(x) 2025-08-14T22:00:52.3825022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3825423Z x = self.conv_dw(x) 2025-08-14T22:00:52.3825783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3826182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3826596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3827009Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3827497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.3827878Z return conv2d_same( 2025-08-14T22:00:52.3828231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.3828677Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.3828880Z 2025-08-14T22:00:52.3828971Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3829209Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3829443Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3829663Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3829921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3830513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3830872Z return mod(*inputs) 2025-08-14T22:00:52.3831218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3831606Z x = self.forward_features(x) 2025-08-14T22:00:52.3832004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3832468Z x = self.blocks(x) 2025-08-14T22:00:52.3832830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3833210Z x = self.conv_dw(x) 2025-08-14T22:00:52.3833547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3833905Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3834031Z 2025-08-14T22:00:52.3834140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3834556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3834887Z return mod(*inputs) 2025-08-14T22:00:52.3835219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3835585Z x = self.forward_features(x) 2025-08-14T22:00:52.3835959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3836362Z x = self.blocks(x) 2025-08-14T22:00:52.3836710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T22:00:52.3837081Z x = self.bn2(x) 2025-08-14T22:00:52.3837390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.3837737Z x = F.batch_norm( 2025-08-14T22:00:52.3837848Z 2025-08-14T22:00:52.3837957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3838329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3838663Z return mod(*inputs) 2025-08-14T22:00:52.3838995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3839362Z x = self.forward_features(x) 2025-08-14T22:00:52.3839732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3840114Z x = self.blocks(x) 2025-08-14T22:00:52.3840460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T22:00:52.3840862Z x = self.bn2(x) 2025-08-14T22:00:52.3841169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3841506Z x = self.act(x) 2025-08-14T22:00:52.3841603Z 2025-08-14T22:00:52.3841716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3842086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3842426Z return mod(*inputs) 2025-08-14T22:00:52.3842757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3843123Z x = self.forward_features(x) 2025-08-14T22:00:52.3843494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3843874Z x = self.blocks(x) 2025-08-14T22:00:52.3844224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3844589Z x = self.se(x) 2025-08-14T22:00:52.3844934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.3845316Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.3845445Z 2025-08-14T22:00:52.3845559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3845938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3846278Z return mod(*inputs) 2025-08-14T22:00:52.3846631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3846988Z x = self.forward_features(x) 2025-08-14T22:00:52.3847363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3847742Z x = self.blocks(x) 2025-08-14T22:00:52.3848087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3848448Z x = self.se(x) 2025-08-14T22:00:52.3848809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.3849184Z x_se = self.act1(x_se) 2025-08-14T22:00:52.3849299Z 2025-08-14T22:00:52.3849414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3849780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3850142Z return mod(*inputs) 2025-08-14T22:00:52.3850491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3850851Z x = self.forward_features(x) 2025-08-14T22:00:52.3851225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3851608Z x = self.blocks(x) 2025-08-14T22:00:52.3851943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3852308Z x = self.se(x) 2025-08-14T22:00:52.3852643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.3853019Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.3853157Z 2025-08-14T22:00:52.3853261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3853633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3853972Z return mod(*inputs) 2025-08-14T22:00:52.3854304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3854675Z x = self.forward_features(x) 2025-08-14T22:00:52.3855092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3855479Z x = self.blocks(x) 2025-08-14T22:00:52.3855829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3856208Z x = self.se(x) 2025-08-14T22:00:52.3856553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.3856938Z return x * self.gate(x_se) 2025-08-14T22:00:52.3857067Z 2025-08-14T22:00:52.3857176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3857567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3857917Z return mod(*inputs) 2025-08-14T22:00:52.3858250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3858625Z x = self.forward_features(x) 2025-08-14T22:00:52.3859012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3859402Z x = self.blocks(x) 2025-08-14T22:00:52.3859751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3860207Z x = self.se(x) 2025-08-14T22:00:52.3860557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.3860941Z return x * self.gate(x_se) 2025-08-14T22:00:52.3861114Z 2025-08-14T22:00:52.3861223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3861616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3861973Z return mod(*inputs) 2025-08-14T22:00:52.3862309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3862689Z x = self.forward_features(x) 2025-08-14T22:00:52.3863078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3863495Z x = self.blocks(x) 2025-08-14T22:00:52.3863851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3864240Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3864356Z 2025-08-14T22:00:52.3864475Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3864856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3865228Z return mod(*inputs) 2025-08-14T22:00:52.3865571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3865942Z x = self.forward_features(x) 2025-08-14T22:00:52.3866336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3866726Z x = self.blocks(x) 2025-08-14T22:00:52.3867089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T22:00:52.3867472Z x = self.bn3(x) 2025-08-14T22:00:52.3867793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.3868150Z x = F.batch_norm( 2025-08-14T22:00:52.3868254Z 2025-08-14T22:00:52.3868363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3868757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3869108Z return mod(*inputs) 2025-08-14T22:00:52.3869502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3869881Z x = self.forward_features(x) 2025-08-14T22:00:52.3870298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3870692Z x = self.blocks(x) 2025-08-14T22:00:52.3871031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3871403Z x = self.conv_pw(x) 2025-08-14T22:00:52.3871731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3872129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3872529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3872938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3873103Z 2025-08-14T22:00:52.3873224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3873615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3873963Z return mod(*inputs) 2025-08-14T22:00:52.3874315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3874700Z x = self.forward_features(x) 2025-08-14T22:00:52.3875067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3875450Z x = self.blocks(x) 2025-08-14T22:00:52.3875803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3876220Z x = self.conv_pw(x) 2025-08-14T22:00:52.3876541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3876933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3877342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3877741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3877915Z 2025-08-14T22:00:52.3878023Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3878252Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3878497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3878862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3879204Z return mod(*inputs) 2025-08-14T22:00:52.3879541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3879916Z x = self.forward_features(x) 2025-08-14T22:00:52.3880290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3880666Z x = self.blocks(x) 2025-08-14T22:00:52.3881012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3881374Z x = self.conv_pw(x) 2025-08-14T22:00:52.3881703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3882055Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3882171Z 2025-08-14T22:00:52.3882275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3882658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3883005Z return mod(*inputs) 2025-08-14T22:00:52.3883336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3883695Z x = self.forward_features(x) 2025-08-14T22:00:52.3884070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3884473Z x = self.blocks(x) 2025-08-14T22:00:52.3884815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3885186Z x = self.bn1(x) 2025-08-14T22:00:52.3885506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.3885846Z x = F.batch_norm( 2025-08-14T22:00:52.3885946Z 2025-08-14T22:00:52.3886050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3886425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3886764Z return mod(*inputs) 2025-08-14T22:00:52.3887088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3887496Z x = self.forward_features(x) 2025-08-14T22:00:52.3887872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3888252Z x = self.blocks(x) 2025-08-14T22:00:52.3888595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3888968Z x = self.bn1(x) 2025-08-14T22:00:52.3889283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3889633Z x = self.act(x) 2025-08-14T22:00:52.3889738Z 2025-08-14T22:00:52.3889823Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3890086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3890521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3890853Z return mod(*inputs) 2025-08-14T22:00:52.3891187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3891555Z x = self.forward_features(x) 2025-08-14T22:00:52.3891927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3892312Z x = self.blocks(x) 2025-08-14T22:00:52.3892680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3893079Z x = self.conv_dw(x) 2025-08-14T22:00:52.3893398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3893800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3894217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3894644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3894826Z 2025-08-14T22:00:52.3894917Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3895177Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3895571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3895918Z return mod(*inputs) 2025-08-14T22:00:52.3896272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3896663Z x = self.forward_features(x) 2025-08-14T22:00:52.3897047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3897448Z x = self.blocks(x) 2025-08-14T22:00:52.3897815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3898204Z x = self.conv_dw(x) 2025-08-14T22:00:52.3898537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3898956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3899395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3899802Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3900061Z 2025-08-14T22:00:52.3900155Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3900396Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3900652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3901039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3901395Z return mod(*inputs) 2025-08-14T22:00:52.3901743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3902121Z x = self.forward_features(x) 2025-08-14T22:00:52.3902511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3902915Z x = self.blocks(x) 2025-08-14T22:00:52.3903277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3903654Z x = self.conv_dw(x) 2025-08-14T22:00:52.3903992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3904370Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3904490Z 2025-08-14T22:00:52.3904576Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3904833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3905249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3905596Z return mod(*inputs) 2025-08-14T22:00:52.3905922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3906302Z x = self.forward_features(x) 2025-08-14T22:00:52.3906685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3907067Z x = self.blocks(x) 2025-08-14T22:00:52.3907440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3907824Z x = self.se(x) 2025-08-14T22:00:52.3908178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.3908567Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.3908718Z 2025-08-14T22:00:52.3908828Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3909240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3909580Z return mod(*inputs) 2025-08-14T22:00:52.3909929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3910306Z x = self.forward_features(x) 2025-08-14T22:00:52.3910693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3911076Z x = self.blocks(x) 2025-08-14T22:00:52.3911431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3911809Z x = self.se(x) 2025-08-14T22:00:52.3912156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.3912540Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.3912687Z 2025-08-14T22:00:52.3912793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3913166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3913498Z return mod(*inputs) 2025-08-14T22:00:52.3913866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3914234Z x = self.forward_features(x) 2025-08-14T22:00:52.3914604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3914986Z x = self.blocks(x) 2025-08-14T22:00:52.3915331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3915700Z x = self.se(x) 2025-08-14T22:00:52.3916034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.3916416Z x_se = self.act1(x_se) 2025-08-14T22:00:52.3916533Z 2025-08-14T22:00:52.3916649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3917022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3917365Z return mod(*inputs) 2025-08-14T22:00:52.3917701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3918068Z x = self.forward_features(x) 2025-08-14T22:00:52.3918439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3918818Z x = self.blocks(x) 2025-08-14T22:00:52.3919162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3919530Z x = self.se(x) 2025-08-14T22:00:52.3919884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.3920261Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.3920388Z 2025-08-14T22:00:52.3920502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3920869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3921209Z return mod(*inputs) 2025-08-14T22:00:52.3921543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3921924Z x = self.forward_features(x) 2025-08-14T22:00:52.3922301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3922687Z x = self.blocks(x) 2025-08-14T22:00:52.3923041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3923411Z x = self.se(x) 2025-08-14T22:00:52.3923766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.3924141Z return x * self.gate(x_se) 2025-08-14T22:00:52.3924264Z 2025-08-14T22:00:52.3924379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3924750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3925089Z return mod(*inputs) 2025-08-14T22:00:52.3925425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3925788Z x = self.forward_features(x) 2025-08-14T22:00:52.3926163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3926543Z x = self.blocks(x) 2025-08-14T22:00:52.3926889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3927252Z x = self.se(x) 2025-08-14T22:00:52.3927588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.3927961Z return x * self.gate(x_se) 2025-08-14T22:00:52.3928085Z 2025-08-14T22:00:52.3928170Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3928451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3928828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3929172Z return mod(*inputs) 2025-08-14T22:00:52.3929505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3929876Z x = self.forward_features(x) 2025-08-14T22:00:52.3930481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3930864Z x = self.blocks(x) 2025-08-14T22:00:52.3931217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3931593Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3931935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3932331Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3932739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3933149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3933317Z 2025-08-14T22:00:52.3933402Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3933657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3934034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3934448Z return mod(*inputs) 2025-08-14T22:00:52.3934783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3935161Z x = self.forward_features(x) 2025-08-14T22:00:52.3935546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3935927Z x = self.blocks(x) 2025-08-14T22:00:52.3936285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3936691Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3937041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3937434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3937850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3938272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3938469Z 2025-08-14T22:00:52.3938555Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3938783Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3939039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3939433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3939780Z return mod(*inputs) 2025-08-14T22:00:52.3940205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3940597Z x = self.forward_features(x) 2025-08-14T22:00:52.3940981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3941383Z x = self.blocks(x) 2025-08-14T22:00:52.3941741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3942104Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3942417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3942760Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3942874Z 2025-08-14T22:00:52.3942986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3943417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3943744Z return mod(*inputs) 2025-08-14T22:00:52.3944058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3944403Z x = self.forward_features(x) 2025-08-14T22:00:52.3944751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3945111Z x = self.blocks(x) 2025-08-14T22:00:52.3945441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.3945794Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.3945929Z 2025-08-14T22:00:52.3946030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3946397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3946720Z return mod(*inputs) 2025-08-14T22:00:52.3947026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3947368Z x = self.forward_features(x) 2025-08-14T22:00:52.3947725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3948079Z x = self.blocks(x) 2025-08-14T22:00:52.3948408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3948802Z x = self.conv_pw(x) 2025-08-14T22:00:52.3949128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3949513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3949915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3950315Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3950480Z 2025-08-14T22:00:52.3950594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3950983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3951327Z return mod(*inputs) 2025-08-14T22:00:52.3951659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3952016Z x = self.forward_features(x) 2025-08-14T22:00:52.3952394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3952790Z x = self.blocks(x) 2025-08-14T22:00:52.3953133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3953495Z x = self.conv_pw(x) 2025-08-14T22:00:52.3953821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3954209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3954600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3955004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3955174Z 2025-08-14T22:00:52.3955257Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3955478Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3955718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3956092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3956436Z return mod(*inputs) 2025-08-14T22:00:52.3956759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3957142Z x = self.forward_features(x) 2025-08-14T22:00:52.3957526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3957919Z x = self.blocks(x) 2025-08-14T22:00:52.3958263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3958635Z x = self.conv_pw(x) 2025-08-14T22:00:52.3958966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3959321Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3959446Z 2025-08-14T22:00:52.3959555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3959931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3960269Z return mod(*inputs) 2025-08-14T22:00:52.3960597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3960960Z x = self.forward_features(x) 2025-08-14T22:00:52.3961340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3961715Z x = self.blocks(x) 2025-08-14T22:00:52.3962059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3962412Z x = self.bn1(x) 2025-08-14T22:00:52.3962709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.3963040Z x = F.batch_norm( 2025-08-14T22:00:52.3963148Z 2025-08-14T22:00:52.3963254Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3963632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3963961Z return mod(*inputs) 2025-08-14T22:00:52.3964295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3964658Z x = self.forward_features(x) 2025-08-14T22:00:52.3965053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3965419Z x = self.blocks(x) 2025-08-14T22:00:52.3965747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.3966100Z x = self.bn1(x) 2025-08-14T22:00:52.3966389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.3966731Z x = self.act(x) 2025-08-14T22:00:52.3966830Z 2025-08-14T22:00:52.3966910Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3967150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3967500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3967822Z return mod(*inputs) 2025-08-14T22:00:52.3968135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3968494Z x = self.forward_features(x) 2025-08-14T22:00:52.3968873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3969255Z x = self.blocks(x) 2025-08-14T22:00:52.3969603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3969969Z x = self.conv_dw(x) 2025-08-14T22:00:52.3970295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3970685Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3971097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3971506Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3971682Z 2025-08-14T22:00:52.3971768Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3972032Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3972381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3972456Z return mod(*inputs) 2025-08-14T22:00:52.3972672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3972747Z x = self.forward_features(x) 2025-08-14T22:00:52.3972992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3973056Z x = self.blocks(x) 2025-08-14T22:00:52.3973293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3973362Z x = self.conv_dw(x) 2025-08-14T22:00:52.3973581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3973699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3973928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3974035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3974047Z 2025-08-14T22:00:52.3974133Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3974236Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3974353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3974558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3974628Z return mod(*inputs) 2025-08-14T22:00:52.3974860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3974934Z x = self.forward_features(x) 2025-08-14T22:00:52.3975208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3975279Z x = self.blocks(x) 2025-08-14T22:00:52.3975524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.3975601Z x = self.conv_dw(x) 2025-08-14T22:00:52.3975831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3975934Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3975938Z 2025-08-14T22:00:52.3976028Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3976134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3976347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3976415Z return mod(*inputs) 2025-08-14T22:00:52.3976636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3976717Z x = self.forward_features(x) 2025-08-14T22:00:52.3976961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3977038Z x = self.blocks(x) 2025-08-14T22:00:52.3977285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3977350Z x = self.se(x) 2025-08-14T22:00:52.3977598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.3977677Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.3977681Z 2025-08-14T22:00:52.3977786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3978018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3978087Z return mod(*inputs) 2025-08-14T22:00:52.3978307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3978391Z x = self.forward_features(x) 2025-08-14T22:00:52.3978652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3978729Z x = self.blocks(x) 2025-08-14T22:00:52.3978974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3979042Z x = self.se(x) 2025-08-14T22:00:52.3979293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.3979370Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.3979374Z 2025-08-14T22:00:52.3979486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3979704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3979772Z return mod(*inputs) 2025-08-14T22:00:52.3980080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3980165Z x = self.forward_features(x) 2025-08-14T22:00:52.3980427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3980504Z x = self.blocks(x) 2025-08-14T22:00:52.3980779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3980847Z x = self.se(x) 2025-08-14T22:00:52.3981096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.3981170Z x_se = self.act1(x_se) 2025-08-14T22:00:52.3981176Z 2025-08-14T22:00:52.3981303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3981508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3981593Z return mod(*inputs) 2025-08-14T22:00:52.3981828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3981902Z x = self.forward_features(x) 2025-08-14T22:00:52.3982156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3982223Z x = self.blocks(x) 2025-08-14T22:00:52.3982475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3982546Z x = self.se(x) 2025-08-14T22:00:52.3982776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.3982853Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.3982857Z 2025-08-14T22:00:52.3982971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3983178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3983253Z return mod(*inputs) 2025-08-14T22:00:52.3983471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3983543Z x = self.forward_features(x) 2025-08-14T22:00:52.3983791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3983860Z x = self.blocks(x) 2025-08-14T22:00:52.3984093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3984161Z x = self.se(x) 2025-08-14T22:00:52.3984405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.3984487Z return x * self.gate(x_se) 2025-08-14T22:00:52.3984491Z 2025-08-14T22:00:52.3984597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3984801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3984875Z return mod(*inputs) 2025-08-14T22:00:52.3985098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3985169Z x = self.forward_features(x) 2025-08-14T22:00:52.3985422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3985488Z x = self.blocks(x) 2025-08-14T22:00:52.3985731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.3985794Z x = self.se(x) 2025-08-14T22:00:52.3986029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.3986110Z return x * self.gate(x_se) 2025-08-14T22:00:52.3986114Z 2025-08-14T22:00:52.3986199Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3986313Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3986519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3986586Z return mod(*inputs) 2025-08-14T22:00:52.3986816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3986909Z x = self.forward_features(x) 2025-08-14T22:00:52.3987152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3987226Z x = self.blocks(x) 2025-08-14T22:00:52.3987465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3987542Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3987778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3987892Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3988128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3988239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3988244Z 2025-08-14T22:00:52.3988327Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3988462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3988668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3988745Z return mod(*inputs) 2025-08-14T22:00:52.3988968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3989044Z x = self.forward_features(x) 2025-08-14T22:00:52.3989301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3989366Z x = self.blocks(x) 2025-08-14T22:00:52.3989602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3989682Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3989897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3990016Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3990243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3990350Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3990374Z 2025-08-14T22:00:52.3990468Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3990549Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3990655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3990869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3990937Z return mod(*inputs) 2025-08-14T22:00:52.3991167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3991239Z x = self.forward_features(x) 2025-08-14T22:00:52.3991487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3991561Z x = self.blocks(x) 2025-08-14T22:00:52.3991799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.3991871Z x = self.conv_pwl(x) 2025-08-14T22:00:52.3992093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3992163Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3992167Z 2025-08-14T22:00:52.3992282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3992491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3992558Z return mod(*inputs) 2025-08-14T22:00:52.3992787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3992882Z x = self.forward_features(x) 2025-08-14T22:00:52.3993140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3993206Z x = self.blocks(x) 2025-08-14T22:00:52.3993448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.3993534Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.3993538Z 2025-08-14T22:00:52.3993644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3993865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3993943Z return mod(*inputs) 2025-08-14T22:00:52.3994166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3994247Z x = self.forward_features(x) 2025-08-14T22:00:52.3994495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3994580Z x = self.blocks(x) 2025-08-14T22:00:52.3994832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3994901Z x = self.conv_pw(x) 2025-08-14T22:00:52.3995121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3995240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3995471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3995585Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3995588Z 2025-08-14T22:00:52.3995696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3995903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3995982Z return mod(*inputs) 2025-08-14T22:00:52.3996203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3996282Z x = self.forward_features(x) 2025-08-14T22:00:52.3996543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3996610Z x = self.blocks(x) 2025-08-14T22:00:52.3996855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3996923Z x = self.conv_pw(x) 2025-08-14T22:00:52.3997143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.3997257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3997483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.3997598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.3997601Z 2025-08-14T22:00:52.3997685Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3997768Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.3997882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3998092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3998159Z return mod(*inputs) 2025-08-14T22:00:52.3998388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.3998461Z x = self.forward_features(x) 2025-08-14T22:00:52.3998713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.3998779Z x = self.blocks(x) 2025-08-14T22:00:52.3999019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.3999115Z x = self.conv_pw(x) 2025-08-14T22:00:52.3999330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.3999398Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.3999402Z 2025-08-14T22:00:52.3999517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.3999723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.3999797Z return mod(*inputs) 2025-08-14T22:00:52.4000042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4000119Z x = self.forward_features(x) 2025-08-14T22:00:52.4000371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4000436Z x = self.blocks(x) 2025-08-14T22:00:52.4000676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4000769Z x = self.bn1(x) 2025-08-14T22:00:52.4000979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4001053Z x = F.batch_norm( 2025-08-14T22:00:52.4001057Z 2025-08-14T22:00:52.4001164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4001371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4001450Z return mod(*inputs) 2025-08-14T22:00:52.4001674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4001747Z x = self.forward_features(x) 2025-08-14T22:00:52.4002006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4002074Z x = self.blocks(x) 2025-08-14T22:00:52.4002322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4002387Z x = self.bn1(x) 2025-08-14T22:00:52.4002600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4002695Z x = self.act(x) 2025-08-14T22:00:52.4002700Z 2025-08-14T22:00:52.4002782Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4002896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4003101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4003170Z return mod(*inputs) 2025-08-14T22:00:52.4003395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4003470Z x = self.forward_features(x) 2025-08-14T22:00:52.4003715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4003791Z x = self.blocks(x) 2025-08-14T22:00:52.4004024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4004100Z x = self.conv_dw(x) 2025-08-14T22:00:52.4004314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4004422Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4004653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4004760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4004763Z 2025-08-14T22:00:52.4004846Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4004962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4005185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4005262Z return mod(*inputs) 2025-08-14T22:00:52.4005481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4005554Z x = self.forward_features(x) 2025-08-14T22:00:52.4005806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4005871Z x = self.blocks(x) 2025-08-14T22:00:52.4006124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4006202Z x = self.conv_dw(x) 2025-08-14T22:00:52.4006417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4006532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4006765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4006888Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4006892Z 2025-08-14T22:00:52.4006982Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4007064Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4007173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4007388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4007455Z return mod(*inputs) 2025-08-14T22:00:52.4007685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4007759Z x = self.forward_features(x) 2025-08-14T22:00:52.4008003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4008080Z x = self.blocks(x) 2025-08-14T22:00:52.4008317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4008392Z x = self.conv_dw(x) 2025-08-14T22:00:52.4008606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4008675Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4008696Z 2025-08-14T22:00:52.4008785Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4008890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4009095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4009170Z return mod(*inputs) 2025-08-14T22:00:52.4009389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4009470Z x = self.forward_features(x) 2025-08-14T22:00:52.4009715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4009785Z x = self.blocks(x) 2025-08-14T22:00:52.4010036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4010101Z x = self.se(x) 2025-08-14T22:00:52.4010343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4010432Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4010436Z 2025-08-14T22:00:52.4010546Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4010763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4010831Z return mod(*inputs) 2025-08-14T22:00:52.4011065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4011169Z x = self.forward_features(x) 2025-08-14T22:00:52.4011414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4011480Z x = self.blocks(x) 2025-08-14T22:00:52.4011725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4011789Z x = self.se(x) 2025-08-14T22:00:52.4012030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4012106Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4012130Z 2025-08-14T22:00:52.4012236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4012448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4012516Z return mod(*inputs) 2025-08-14T22:00:52.4012736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4012847Z x = self.forward_features(x) 2025-08-14T22:00:52.4013094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4013169Z x = self.blocks(x) 2025-08-14T22:00:52.4013406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4013468Z x = self.se(x) 2025-08-14T22:00:52.4013719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4013796Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4013801Z 2025-08-14T22:00:52.4013916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4014140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4014208Z return mod(*inputs) 2025-08-14T22:00:52.4014437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4014512Z x = self.forward_features(x) 2025-08-14T22:00:52.4014757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4014830Z x = self.blocks(x) 2025-08-14T22:00:52.4015089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4015162Z x = self.se(x) 2025-08-14T22:00:52.4015397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4015475Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4015479Z 2025-08-14T22:00:52.4015597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4015816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4015889Z return mod(*inputs) 2025-08-14T22:00:52.4016128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4016202Z x = self.forward_features(x) 2025-08-14T22:00:52.4016467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4016537Z x = self.blocks(x) 2025-08-14T22:00:52.4016781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4016852Z x = self.se(x) 2025-08-14T22:00:52.4017092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4017167Z return x * self.gate(x_se) 2025-08-14T22:00:52.4017171Z 2025-08-14T22:00:52.4017841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4018058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4018163Z return mod(*inputs) 2025-08-14T22:00:52.4018396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4018470Z x = self.forward_features(x) 2025-08-14T22:00:52.4018754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4018823Z x = self.blocks(x) 2025-08-14T22:00:52.4019119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4019185Z x = self.se(x) 2025-08-14T22:00:52.4019436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4019519Z return x * self.gate(x_se) 2025-08-14T22:00:52.4019523Z 2025-08-14T22:00:52.4019607Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4019718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4020036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4020117Z return mod(*inputs) 2025-08-14T22:00:52.4020357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4020434Z x = self.forward_features(x) 2025-08-14T22:00:52.4020689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4020766Z x = self.blocks(x) 2025-08-14T22:00:52.4021012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4021085Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4021317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4021432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4021687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4021796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4021800Z 2025-08-14T22:00:52.4021882Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4022022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4022230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4022300Z return mod(*inputs) 2025-08-14T22:00:52.4022528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4022600Z x = self.forward_features(x) 2025-08-14T22:00:52.4022853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4022922Z x = self.blocks(x) 2025-08-14T22:00:52.4023159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4023240Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4023453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4023562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4023794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4023901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4023905Z 2025-08-14T22:00:52.4023992Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4024074Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4024179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4024393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4024491Z return mod(*inputs) 2025-08-14T22:00:52.4024722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4024797Z x = self.forward_features(x) 2025-08-14T22:00:52.4025049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4025124Z x = self.blocks(x) 2025-08-14T22:00:52.4025384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4025458Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4025686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4025757Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4025762Z 2025-08-14T22:00:52.4025874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4026095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4026180Z return mod(*inputs) 2025-08-14T22:00:52.4026404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4026476Z x = self.forward_features(x) 2025-08-14T22:00:52.4026721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4026794Z x = self.blocks(x) 2025-08-14T22:00:52.4027032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4027116Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4027120Z 2025-08-14T22:00:52.4027226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4027434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4027513Z return mod(*inputs) 2025-08-14T22:00:52.4027741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4027814Z x = self.forward_features(x) 2025-08-14T22:00:52.4028076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4028161Z x = self.blocks(x) 2025-08-14T22:00:52.4028403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4028473Z x = self.conv_pw(x) 2025-08-14T22:00:52.4028477Z 2025-08-14T22:00:52.4028581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4028795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4028863Z return mod(*inputs) 2025-08-14T22:00:52.4029088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4029164Z x = self.forward_features(x) 2025-08-14T22:00:52.4029404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4029479Z x = self.blocks(x) 2025-08-14T22:00:52.4029716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4029780Z x = self.bn1(x) 2025-08-14T22:00:52.4030231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4030308Z x = F.batch_norm( 2025-08-14T22:00:52.4030312Z 2025-08-14T22:00:52.4030427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4030632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4030700Z return mod(*inputs) 2025-08-14T22:00:52.4030983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4031058Z x = self.forward_features(x) 2025-08-14T22:00:52.4031302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4031378Z x = self.blocks(x) 2025-08-14T22:00:52.4031616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4031687Z x = self.bn1(x) 2025-08-14T22:00:52.4031922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4031990Z x = self.act(x) 2025-08-14T22:00:52.4031994Z 2025-08-14T22:00:52.4032107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4032312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4032383Z return mod(*inputs) 2025-08-14T22:00:52.4032615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4032724Z x = self.forward_features(x) 2025-08-14T22:00:52.4032975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4033043Z x = self.blocks(x) 2025-08-14T22:00:52.4033277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4033350Z x = self.conv_dw(x) 2025-08-14T22:00:52.4033566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4033675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4033906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4034015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4034239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4034307Z return conv2d_same( 2025-08-14T22:00:52.4034534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4034686Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4034897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4035064Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4035265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4035370Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4035374Z 2025-08-14T22:00:52.4035491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4035696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4035763Z return mod(*inputs) 2025-08-14T22:00:52.4036001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4036075Z x = self.forward_features(x) 2025-08-14T22:00:52.4036331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4036396Z x = self.blocks(x) 2025-08-14T22:00:52.4036633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4036709Z x = self.conv_dw(x) 2025-08-14T22:00:52.4036923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4037029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4037291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4037398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4037620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4037689Z return conv2d_same( 2025-08-14T22:00:52.4037910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4038076Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4038080Z 2025-08-14T22:00:52.4038188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4038403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4038469Z return mod(*inputs) 2025-08-14T22:00:52.4038695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4038793Z x = self.forward_features(x) 2025-08-14T22:00:52.4039040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4039104Z x = self.blocks(x) 2025-08-14T22:00:52.4039352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4039420Z x = self.conv_dw(x) 2025-08-14T22:00:52.4039650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4039759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4039991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4040105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4040328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4040397Z return conv2d_same( 2025-08-14T22:00:52.4040634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4040762Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4040987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4041145Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4041362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4041476Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4041480Z 2025-08-14T22:00:52.4041586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4041801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4041871Z return mod(*inputs) 2025-08-14T22:00:52.4042101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4042183Z x = self.forward_features(x) 2025-08-14T22:00:52.4042440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4042506Z x = self.blocks(x) 2025-08-14T22:00:52.4042761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4042829Z x = self.conv_dw(x) 2025-08-14T22:00:52.4043059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4043170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4043424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4043542Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4043763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4043833Z return conv2d_same( 2025-08-14T22:00:52.4044075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4044216Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4044236Z 2025-08-14T22:00:52.4044358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4044570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4044641Z return mod(*inputs) 2025-08-14T22:00:52.4044878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4044973Z x = self.forward_features(x) 2025-08-14T22:00:52.4045236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4045303Z x = self.blocks(x) 2025-08-14T22:00:52.4045549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4045625Z x = self.conv_dw(x) 2025-08-14T22:00:52.4045845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4045956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4046194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4046304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4046533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4046607Z return conv2d_same( 2025-08-14T22:00:52.4046837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4046955Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4047199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4047350Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4047562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4047669Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4047673Z 2025-08-14T22:00:52.4047787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4047999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4048069Z return mod(*inputs) 2025-08-14T22:00:52.4048303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4048377Z x = self.forward_features(x) 2025-08-14T22:00:52.4048640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4048706Z x = self.blocks(x) 2025-08-14T22:00:52.4048950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4049024Z x = self.conv_dw(x) 2025-08-14T22:00:52.4049245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4049353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4049592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4049723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4049948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4050018Z return conv2d_same( 2025-08-14T22:00:52.4050248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4050395Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4050399Z 2025-08-14T22:00:52.4050505Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4050590Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4050681Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4050791Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4051008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4051080Z return mod(*inputs) 2025-08-14T22:00:52.4051330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4051411Z x = self.forward_features(x) 2025-08-14T22:00:52.4051670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4051740Z x = self.blocks(x) 2025-08-14T22:00:52.4051993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4052063Z x = self.conv_dw(x) 2025-08-14T22:00:52.4052295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4052366Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4052370Z 2025-08-14T22:00:52.4052455Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4052569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4052784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4052855Z return mod(*inputs) 2025-08-14T22:00:52.4053093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4053166Z x = self.forward_features(x) 2025-08-14T22:00:52.4053445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4053513Z x = self.blocks(x) 2025-08-14T22:00:52.4053757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4053829Z x = self.se(x) 2025-08-14T22:00:52.4054071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4054153Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4054165Z 2025-08-14T22:00:52.4054272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4054483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4054558Z return mod(*inputs) 2025-08-14T22:00:52.4054782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4054857Z x = self.forward_features(x) 2025-08-14T22:00:52.4055117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4055184Z x = self.blocks(x) 2025-08-14T22:00:52.4055431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4055496Z x = self.se(x) 2025-08-14T22:00:52.4055734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4055840Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4055845Z 2025-08-14T22:00:52.4055954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4056163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4056241Z return mod(*inputs) 2025-08-14T22:00:52.4056472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4056553Z x = self.forward_features(x) 2025-08-14T22:00:52.4056832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4056901Z x = self.blocks(x) 2025-08-14T22:00:52.4057151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4057217Z x = self.se(x) 2025-08-14T22:00:52.4057455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4057587Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4057591Z 2025-08-14T22:00:52.4057699Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4057919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4057989Z return mod(*inputs) 2025-08-14T22:00:52.4058217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4058303Z x = self.forward_features(x) 2025-08-14T22:00:52.4058554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4058622Z x = self.blocks(x) 2025-08-14T22:00:52.4058870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4058934Z x = self.se(x) 2025-08-14T22:00:52.4059181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4059260Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4059264Z 2025-08-14T22:00:52.4059372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4059609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4059682Z return mod(*inputs) 2025-08-14T22:00:52.4059909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4060067Z x = self.forward_features(x) 2025-08-14T22:00:52.4060327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4060406Z x = self.blocks(x) 2025-08-14T22:00:52.4060648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4060716Z x = self.se(x) 2025-08-14T22:00:52.4060969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4061045Z return x * self.gate(x_se) 2025-08-14T22:00:52.4061049Z 2025-08-14T22:00:52.4061166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4061379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4061448Z return mod(*inputs) 2025-08-14T22:00:52.4061697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4061771Z x = self.forward_features(x) 2025-08-14T22:00:52.4062018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4062096Z x = self.blocks(x) 2025-08-14T22:00:52.4062329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4062428Z x = self.se(x) 2025-08-14T22:00:52.4062661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4062736Z return x * self.gate(x_se) 2025-08-14T22:00:52.4062739Z 2025-08-14T22:00:52.4062854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4063056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4063123Z return mod(*inputs) 2025-08-14T22:00:52.4063368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4063442Z x = self.forward_features(x) 2025-08-14T22:00:52.4063699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4063764Z x = self.blocks(x) 2025-08-14T22:00:52.4064002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4064096Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4064100Z 2025-08-14T22:00:52.4064204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4064408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4064483Z return mod(*inputs) 2025-08-14T22:00:52.4064701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4064782Z x = self.forward_features(x) 2025-08-14T22:00:52.4065024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4065090Z x = self.blocks(x) 2025-08-14T22:00:52.4065330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T22:00:52.4065398Z x = self.bn3(x) 2025-08-14T22:00:52.4065609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4065688Z x = F.batch_norm( 2025-08-14T22:00:52.4065692Z 2025-08-14T22:00:52.4065795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4066861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4066937Z return mod(*inputs) 2025-08-14T22:00:52.4067160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4067240Z x = self.forward_features(x) 2025-08-14T22:00:52.4067484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4067557Z x = self.blocks(x) 2025-08-14T22:00:52.4067792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4067862Z x = self.conv_pw(x) 2025-08-14T22:00:52.4068083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4068192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4068417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4068533Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4068537Z 2025-08-14T22:00:52.4068643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4068854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4068921Z return mod(*inputs) 2025-08-14T22:00:52.4069141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4069246Z x = self.forward_features(x) 2025-08-14T22:00:52.4069504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4069572Z x = self.blocks(x) 2025-08-14T22:00:52.4069828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4069898Z x = self.conv_pw(x) 2025-08-14T22:00:52.4070130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4070259Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4070492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4070607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4070611Z 2025-08-14T22:00:52.4070696Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4070788Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4070926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4071144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4071217Z return mod(*inputs) 2025-08-14T22:00:52.4071438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4071512Z x = self.forward_features(x) 2025-08-14T22:00:52.4071765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4071830Z x = self.blocks(x) 2025-08-14T22:00:52.4072070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4072138Z x = self.conv_pw(x) 2025-08-14T22:00:52.4072354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4072439Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4072443Z 2025-08-14T22:00:52.4072551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4072759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4072837Z return mod(*inputs) 2025-08-14T22:00:52.4073078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4073162Z x = self.forward_features(x) 2025-08-14T22:00:52.4073414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4073480Z x = self.blocks(x) 2025-08-14T22:00:52.4073729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4073795Z x = self.bn1(x) 2025-08-14T22:00:52.4074013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4074092Z x = F.batch_norm( 2025-08-14T22:00:52.4074096Z 2025-08-14T22:00:52.4074205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4074426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4074496Z return mod(*inputs) 2025-08-14T22:00:52.4074724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4074808Z x = self.forward_features(x) 2025-08-14T22:00:52.4075063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4075129Z x = self.blocks(x) 2025-08-14T22:00:52.4075380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4075463Z x = self.bn1(x) 2025-08-14T22:00:52.4075687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4075755Z x = self.act(x) 2025-08-14T22:00:52.4075758Z 2025-08-14T22:00:52.4075843Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4075959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4076170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4076239Z return mod(*inputs) 2025-08-14T22:00:52.4076489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4076564Z x = self.forward_features(x) 2025-08-14T22:00:52.4076827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4076898Z x = self.blocks(x) 2025-08-14T22:00:52.4077140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4077237Z x = self.conv_dw(x) 2025-08-14T22:00:52.4077461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4077574Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4077819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4077931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4077934Z 2025-08-14T22:00:52.4078030Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4078141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4078355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4078433Z return mod(*inputs) 2025-08-14T22:00:52.4078665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4078751Z x = self.forward_features(x) 2025-08-14T22:00:52.4079010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4079078Z x = self.blocks(x) 2025-08-14T22:00:52.4079354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4079424Z x = self.conv_dw(x) 2025-08-14T22:00:52.4079648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4079765Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4079996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4080111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4080116Z 2025-08-14T22:00:52.4080200Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4080312Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4080531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4080600Z return mod(*inputs) 2025-08-14T22:00:52.4080829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4080910Z x = self.forward_features(x) 2025-08-14T22:00:52.4081164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4081238Z x = self.blocks(x) 2025-08-14T22:00:52.4081481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4081550Z x = self.conv_dw(x) 2025-08-14T22:00:52.4081775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4081903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4082134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4082249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4082253Z 2025-08-14T22:00:52.4082339Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4082455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4082684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4082754Z return mod(*inputs) 2025-08-14T22:00:52.4082985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4083059Z x = self.forward_features(x) 2025-08-14T22:00:52.4083313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4083399Z x = self.blocks(x) 2025-08-14T22:00:52.4083643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4083716Z x = self.conv_dw(x) 2025-08-14T22:00:52.4083940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4084048Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4084287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4084394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4084397Z 2025-08-14T22:00:52.4084488Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4084570Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4084653Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4084743Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4084853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4085062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4085138Z return mod(*inputs) 2025-08-14T22:00:52.4085380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4085463Z x = self.forward_features(x) 2025-08-14T22:00:52.4085718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4085786Z x = self.blocks(x) 2025-08-14T22:00:52.4086143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4086220Z x = self.conv_dw(x) 2025-08-14T22:00:52.4086446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4086533Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4086537Z 2025-08-14T22:00:52.4086621Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4086739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4086953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4087024Z return mod(*inputs) 2025-08-14T22:00:52.4087261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4087338Z x = self.forward_features(x) 2025-08-14T22:00:52.4087592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4087671Z x = self.blocks(x) 2025-08-14T22:00:52.4087915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4088014Z x = self.se(x) 2025-08-14T22:00:52.4088257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4088343Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4088347Z 2025-08-14T22:00:52.4088465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4088688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4088757Z return mod(*inputs) 2025-08-14T22:00:52.4089001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4089075Z x = self.forward_features(x) 2025-08-14T22:00:52.4089327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4089393Z x = self.blocks(x) 2025-08-14T22:00:52.4089630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4089724Z x = self.se(x) 2025-08-14T22:00:52.4089971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4090050Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4090062Z 2025-08-14T22:00:52.4090173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4090385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4090462Z return mod(*inputs) 2025-08-14T22:00:52.4090689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4090777Z x = self.forward_features(x) 2025-08-14T22:00:52.4091037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4091105Z x = self.blocks(x) 2025-08-14T22:00:52.4091354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4091421Z x = self.se(x) 2025-08-14T22:00:52.4091659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4091749Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4091753Z 2025-08-14T22:00:52.4091879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4092082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4092158Z return mod(*inputs) 2025-08-14T22:00:52.4092377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4092458Z x = self.forward_features(x) 2025-08-14T22:00:52.4092703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4092769Z x = self.blocks(x) 2025-08-14T22:00:52.4093016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4093080Z x = self.se(x) 2025-08-14T22:00:52.4093319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4093406Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4093409Z 2025-08-14T22:00:52.4093519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4093736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4093805Z return mod(*inputs) 2025-08-14T22:00:52.4094032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4094114Z x = self.forward_features(x) 2025-08-14T22:00:52.4094364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4094452Z x = self.blocks(x) 2025-08-14T22:00:52.4094703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4094768Z x = self.se(x) 2025-08-14T22:00:52.4095019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4095095Z return x * self.gate(x_se) 2025-08-14T22:00:52.4095099Z 2025-08-14T22:00:52.4095207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4095453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4095526Z return mod(*inputs) 2025-08-14T22:00:52.4095766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4095841Z x = self.forward_features(x) 2025-08-14T22:00:52.4096099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4096191Z x = self.blocks(x) 2025-08-14T22:00:52.4096437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4096502Z x = self.se(x) 2025-08-14T22:00:52.4096752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4096826Z return x * self.gate(x_se) 2025-08-14T22:00:52.4096829Z 2025-08-14T22:00:52.4096922Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4097029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4097241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4097316Z return mod(*inputs) 2025-08-14T22:00:52.4097546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4097622Z x = self.forward_features(x) 2025-08-14T22:00:52.4097891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4097960Z x = self.blocks(x) 2025-08-14T22:00:52.4098228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4098301Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4098526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4098646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4098882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4098992Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4099005Z 2025-08-14T22:00:52.4099090Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4099200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4099420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4099488Z return mod(*inputs) 2025-08-14T22:00:52.4099716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4099798Z x = self.forward_features(x) 2025-08-14T22:00:52.4100224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4100312Z x = self.blocks(x) 2025-08-14T22:00:52.4100561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4100633Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4100863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4101006Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4101236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4101353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4101358Z 2025-08-14T22:00:52.4101445Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4101537Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4101647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4101878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4101969Z return mod(*inputs) 2025-08-14T22:00:52.4102189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4102265Z x = self.forward_features(x) 2025-08-14T22:00:52.4102521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4102606Z x = self.blocks(x) 2025-08-14T22:00:52.4102853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4102924Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4103144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4103226Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4103230Z 2025-08-14T22:00:52.4103338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4103548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4103624Z return mod(*inputs) 2025-08-14T22:00:52.4103847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4103930Z x = self.forward_features(x) 2025-08-14T22:00:52.4104178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4104245Z x = self.blocks(x) 2025-08-14T22:00:52.4104491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4104584Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4104588Z 2025-08-14T22:00:52.4104695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4104909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4104977Z return mod(*inputs) 2025-08-14T22:00:52.4105205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4105278Z x = self.forward_features(x) 2025-08-14T22:00:52.4105520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4105595Z x = self.blocks(x) 2025-08-14T22:00:52.4105828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4105895Z x = self.conv_pw(x) 2025-08-14T22:00:52.4106117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4106224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4106454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4106560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4106563Z 2025-08-14T22:00:52.4106669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4106884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4106971Z return mod(*inputs) 2025-08-14T22:00:52.4107198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4107272Z x = self.forward_features(x) 2025-08-14T22:00:52.4107518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4107591Z x = self.blocks(x) 2025-08-14T22:00:52.4107824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4107907Z x = self.conv_pw(x) 2025-08-14T22:00:52.4108133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4108237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4108473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4108580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4108600Z 2025-08-14T22:00:52.4108685Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4108773Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4108880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4109087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4109162Z return mod(*inputs) 2025-08-14T22:00:52.4109384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4109461Z x = self.forward_features(x) 2025-08-14T22:00:52.4109705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4109771Z x = self.blocks(x) 2025-08-14T22:00:52.4110012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4110082Z x = self.conv_pw(x) 2025-08-14T22:00:52.4110294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4110372Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4110376Z 2025-08-14T22:00:52.4110495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4110709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4110775Z return mod(*inputs) 2025-08-14T22:00:52.4110994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4111073Z x = self.forward_features(x) 2025-08-14T22:00:52.4111315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4111388Z x = self.blocks(x) 2025-08-14T22:00:52.4111624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4111688Z x = self.bn1(x) 2025-08-14T22:00:52.4111902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4111968Z x = F.batch_norm( 2025-08-14T22:00:52.4111971Z 2025-08-14T22:00:52.4112077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4112287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4112355Z return mod(*inputs) 2025-08-14T22:00:52.4112582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4112654Z x = self.forward_features(x) 2025-08-14T22:00:52.4112896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4112984Z x = self.blocks(x) 2025-08-14T22:00:52.4113222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4113287Z x = self.bn1(x) 2025-08-14T22:00:52.4113507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4113571Z x = self.act(x) 2025-08-14T22:00:52.4113576Z 2025-08-14T22:00:52.4113665Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4113771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4114000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4114078Z return mod(*inputs) 2025-08-14T22:00:52.4114295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4114369Z x = self.forward_features(x) 2025-08-14T22:00:52.4114622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4114705Z x = self.blocks(x) 2025-08-14T22:00:52.4114956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4115024Z x = self.conv_dw(x) 2025-08-14T22:00:52.4115247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4115361Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4115595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4115701Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4115713Z 2025-08-14T22:00:52.4115795Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4115902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4116120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4116189Z return mod(*inputs) 2025-08-14T22:00:52.4116418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4116499Z x = self.forward_features(x) 2025-08-14T22:00:52.4116769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4116839Z x = self.blocks(x) 2025-08-14T22:00:52.4117087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4117154Z x = self.conv_dw(x) 2025-08-14T22:00:52.4117379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4117485Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4117710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4117825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4117829Z 2025-08-14T22:00:52.4117911Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4118023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4118232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4118298Z return mod(*inputs) 2025-08-14T22:00:52.4118535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4118607Z x = self.forward_features(x) 2025-08-14T22:00:52.4118852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4118926Z x = self.blocks(x) 2025-08-14T22:00:52.4119162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4119267Z x = self.conv_dw(x) 2025-08-14T22:00:52.4119517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4119622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4119865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4119969Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4119973Z 2025-08-14T22:00:52.4120069Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4120184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4120389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4120465Z return mod(*inputs) 2025-08-14T22:00:52.4120717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4120807Z x = self.forward_features(x) 2025-08-14T22:00:52.4121064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4121130Z x = self.blocks(x) 2025-08-14T22:00:52.4121378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4121453Z x = self.conv_dw(x) 2025-08-14T22:00:52.4121681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4121798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4122033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4122141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4122146Z 2025-08-14T22:00:52.4122239Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4122323Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4122412Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4122493Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4122603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4122851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4122920Z return mod(*inputs) 2025-08-14T22:00:52.4123145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4123225Z x = self.forward_features(x) 2025-08-14T22:00:52.4123474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4123539Z x = self.blocks(x) 2025-08-14T22:00:52.4123787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4123857Z x = self.conv_dw(x) 2025-08-14T22:00:52.4124089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4124161Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4124165Z 2025-08-14T22:00:52.4124247Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4124365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4124578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4124655Z return mod(*inputs) 2025-08-14T22:00:52.4124892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4124966Z x = self.forward_features(x) 2025-08-14T22:00:52.4125227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4125314Z x = self.blocks(x) 2025-08-14T22:00:52.4125562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4125635Z x = self.se(x) 2025-08-14T22:00:52.4125880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4125969Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4125973Z 2025-08-14T22:00:52.4126081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4126310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4126387Z return mod(*inputs) 2025-08-14T22:00:52.4126616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4126690Z x = self.forward_features(x) 2025-08-14T22:00:52.4126960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4127045Z x = self.blocks(x) 2025-08-14T22:00:52.4127295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4127361Z x = self.se(x) 2025-08-14T22:00:52.4127602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4127687Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4127691Z 2025-08-14T22:00:52.4127802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4128010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4128088Z return mod(*inputs) 2025-08-14T22:00:52.4128313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4128395Z x = self.forward_features(x) 2025-08-14T22:00:52.4128648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4128718Z x = self.blocks(x) 2025-08-14T22:00:52.4128967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4129033Z x = self.se(x) 2025-08-14T22:00:52.4129290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4129375Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4129379Z 2025-08-14T22:00:52.4129487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4129706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4129776Z return mod(*inputs) 2025-08-14T22:00:52.4130147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4130246Z x = self.forward_features(x) 2025-08-14T22:00:52.4130500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4130579Z x = self.blocks(x) 2025-08-14T22:00:52.4130822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4130887Z x = self.se(x) 2025-08-14T22:00:52.4131136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4131215Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4131220Z 2025-08-14T22:00:52.4131328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4131550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4131619Z return mod(*inputs) 2025-08-14T22:00:52.4131856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4131986Z x = self.forward_features(x) 2025-08-14T22:00:52.4132235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4132311Z x = self.blocks(x) 2025-08-14T22:00:52.4132552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4132617Z x = self.se(x) 2025-08-14T22:00:52.4132893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4132968Z return x * self.gate(x_se) 2025-08-14T22:00:52.4132972Z 2025-08-14T22:00:52.4133092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4133304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4133375Z return mod(*inputs) 2025-08-14T22:00:52.4133610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4133726Z x = self.forward_features(x) 2025-08-14T22:00:52.4133976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4134052Z x = self.blocks(x) 2025-08-14T22:00:52.4134294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4134364Z x = self.se(x) 2025-08-14T22:00:52.4134608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4134682Z return x * self.gate(x_se) 2025-08-14T22:00:52.4134686Z 2025-08-14T22:00:52.4134779Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4134887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4135100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4135179Z return mod(*inputs) 2025-08-14T22:00:52.4135407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4135489Z x = self.forward_features(x) 2025-08-14T22:00:52.4135761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4135832Z x = self.blocks(x) 2025-08-14T22:00:52.4136087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4136159Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4136382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4136505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4136742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4136862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4136866Z 2025-08-14T22:00:52.4136951Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4137060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4137280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4137350Z return mod(*inputs) 2025-08-14T22:00:52.4137593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4137665Z x = self.forward_features(x) 2025-08-14T22:00:52.4137909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4137983Z x = self.blocks(x) 2025-08-14T22:00:52.4138227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4138329Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4138564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4138672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4138913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4139022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4139026Z 2025-08-14T22:00:52.4139126Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4139217Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4139325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4139535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4139614Z return mod(*inputs) 2025-08-14T22:00:52.4139851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4139950Z x = self.forward_features(x) 2025-08-14T22:00:52.4140281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4140349Z x = self.blocks(x) 2025-08-14T22:00:52.4140602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4140672Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4140897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4140979Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4140983Z 2025-08-14T22:00:52.4141090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4141311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4141381Z return mod(*inputs) 2025-08-14T22:00:52.4141611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4141693Z x = self.forward_features(x) 2025-08-14T22:00:52.4142035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4142124Z x = self.blocks(x) 2025-08-14T22:00:52.4142365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4142446Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4142450Z 2025-08-14T22:00:52.4142567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4142776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4142842Z return mod(*inputs) 2025-08-14T22:00:52.4143073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4143149Z x = self.forward_features(x) 2025-08-14T22:00:52.4143400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4143465Z x = self.blocks(x) 2025-08-14T22:00:52.4143704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4143777Z x = self.conv_pw(x) 2025-08-14T22:00:52.4143996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4144105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4144339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4144447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4144471Z 2025-08-14T22:00:52.4144585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4144792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4144859Z return mod(*inputs) 2025-08-14T22:00:52.4145093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4145165Z x = self.forward_features(x) 2025-08-14T22:00:52.4145412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4145504Z x = self.blocks(x) 2025-08-14T22:00:52.4145743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4145817Z x = self.conv_pw(x) 2025-08-14T22:00:52.4146034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4146143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4146394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4146497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4146500Z 2025-08-14T22:00:52.4146593Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4146674Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4146778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4146994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4147062Z return mod(*inputs) 2025-08-14T22:00:52.4147295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4147374Z x = self.forward_features(x) 2025-08-14T22:00:52.4147620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4147694Z x = self.blocks(x) 2025-08-14T22:00:52.4147931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4148000Z x = self.conv_pw(x) 2025-08-14T22:00:52.4148238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4148311Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4148314Z 2025-08-14T22:00:52.4148421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4148638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4148705Z return mod(*inputs) 2025-08-14T22:00:52.4148935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4149008Z x = self.forward_features(x) 2025-08-14T22:00:52.4149255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4149333Z x = self.blocks(x) 2025-08-14T22:00:52.4149570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4149633Z x = self.bn1(x) 2025-08-14T22:00:52.4149852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4149918Z x = F.batch_norm( 2025-08-14T22:00:52.4149922Z 2025-08-14T22:00:52.4150036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4150243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4150311Z return mod(*inputs) 2025-08-14T22:00:52.4150540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4150631Z x = self.forward_features(x) 2025-08-14T22:00:52.4150889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4150959Z x = self.blocks(x) 2025-08-14T22:00:52.4151188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4151259Z x = self.bn1(x) 2025-08-14T22:00:52.4151465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4151529Z x = self.act(x) 2025-08-14T22:00:52.4151550Z 2025-08-14T22:00:52.4151645Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4151751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4151965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4152035Z return mod(*inputs) 2025-08-14T22:00:52.4152256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4152354Z x = self.forward_features(x) 2025-08-14T22:00:52.4152599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4152663Z x = self.blocks(x) 2025-08-14T22:00:52.4152906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4152971Z x = self.conv_dw(x) 2025-08-14T22:00:52.4153193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4153302Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4153527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4153640Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4153645Z 2025-08-14T22:00:52.4153729Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4153834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4154046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4154112Z return mod(*inputs) 2025-08-14T22:00:52.4154354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4154427Z x = self.forward_features(x) 2025-08-14T22:00:52.4154687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4154753Z x = self.blocks(x) 2025-08-14T22:00:52.4154979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4155042Z x = self.conv_dw(x) 2025-08-14T22:00:52.4155256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4155359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4155580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4155681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4155684Z 2025-08-14T22:00:52.4155761Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4155871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4156081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4156148Z return mod(*inputs) 2025-08-14T22:00:52.4156377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4156449Z x = self.forward_features(x) 2025-08-14T22:00:52.4156716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4156783Z x = self.blocks(x) 2025-08-14T22:00:52.4157019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4157093Z x = self.conv_dw(x) 2025-08-14T22:00:52.4157313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4157420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4157685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4157787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4157790Z 2025-08-14T22:00:52.4157875Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4157974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4158170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4158262Z return mod(*inputs) 2025-08-14T22:00:52.4158472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4158550Z x = self.forward_features(x) 2025-08-14T22:00:52.4158783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4158844Z x = self.blocks(x) 2025-08-14T22:00:52.4159075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4159139Z x = self.conv_dw(x) 2025-08-14T22:00:52.4159340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4159449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4159669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4159782Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4159786Z 2025-08-14T22:00:52.4159866Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4159947Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4160054Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4160133Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4160238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4160452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4160521Z return mod(*inputs) 2025-08-14T22:00:52.4160750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4160822Z x = self.forward_features(x) 2025-08-14T22:00:52.4161066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4161142Z x = self.blocks(x) 2025-08-14T22:00:52.4161378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4161443Z x = self.conv_dw(x) 2025-08-14T22:00:52.4161667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4161736Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4161740Z 2025-08-14T22:00:52.4161826Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4161932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4162138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4162226Z return mod(*inputs) 2025-08-14T22:00:52.4162434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4162521Z x = self.forward_features(x) 2025-08-14T22:00:52.4162767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4162829Z x = self.blocks(x) 2025-08-14T22:00:52.4163067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4163128Z x = self.se(x) 2025-08-14T22:00:52.4163355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4163453Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4163457Z 2025-08-14T22:00:52.4163559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4163758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4163822Z return mod(*inputs) 2025-08-14T22:00:52.4164029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4164132Z x = self.forward_features(x) 2025-08-14T22:00:52.4164365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4164426Z x = self.blocks(x) 2025-08-14T22:00:52.4164661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4164722Z x = self.se(x) 2025-08-14T22:00:52.4164950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4165022Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4165025Z 2025-08-14T22:00:52.4165125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4165329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4165398Z return mod(*inputs) 2025-08-14T22:00:52.4165621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4165702Z x = self.forward_features(x) 2025-08-14T22:00:52.4165948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4166038Z x = self.blocks(x) 2025-08-14T22:00:52.4166273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4166336Z x = self.se(x) 2025-08-14T22:00:52.4166575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4166645Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4166648Z 2025-08-14T22:00:52.4166752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4166962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4167032Z return mod(*inputs) 2025-08-14T22:00:52.4167256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4167328Z x = self.forward_features(x) 2025-08-14T22:00:52.4167573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4167648Z x = self.blocks(x) 2025-08-14T22:00:52.4167882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4167947Z x = self.se(x) 2025-08-14T22:00:52.4168187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4168262Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4168266Z 2025-08-14T22:00:52.4168377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4168599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4168669Z return mod(*inputs) 2025-08-14T22:00:52.4168893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4168965Z x = self.forward_features(x) 2025-08-14T22:00:52.4169214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4169279Z x = self.blocks(x) 2025-08-14T22:00:52.4169531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4169603Z x = self.se(x) 2025-08-14T22:00:52.4169843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4169917Z return x * self.gate(x_se) 2025-08-14T22:00:52.4169920Z 2025-08-14T22:00:52.4170035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4170260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4170336Z return mod(*inputs) 2025-08-14T22:00:52.4170556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4170629Z x = self.forward_features(x) 2025-08-14T22:00:52.4170880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4170946Z x = self.blocks(x) 2025-08-14T22:00:52.4171182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4171254Z x = self.se(x) 2025-08-14T22:00:52.4171485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4171566Z return x * self.gate(x_se) 2025-08-14T22:00:52.4171572Z 2025-08-14T22:00:52.4171654Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4171759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4171972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4172039Z return mod(*inputs) 2025-08-14T22:00:52.4172274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4172359Z x = self.forward_features(x) 2025-08-14T22:00:52.4172604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4172679Z x = self.blocks(x) 2025-08-14T22:00:52.4172915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4172984Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4173207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4173323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4173554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4173674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4173678Z 2025-08-14T22:00:52.4173763Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4173889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4174095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4174162Z return mod(*inputs) 2025-08-14T22:00:52.4174386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4174458Z x = self.forward_features(x) 2025-08-14T22:00:52.4174727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4174795Z x = self.blocks(x) 2025-08-14T22:00:52.4175030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4175106Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4175333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4175443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4175697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4175809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4175813Z 2025-08-14T22:00:52.4175905Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4175987Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4176096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4176334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4176403Z return mod(*inputs) 2025-08-14T22:00:52.4176630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4176716Z x = self.forward_features(x) 2025-08-14T22:00:52.4176968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4177043Z x = self.blocks(x) 2025-08-14T22:00:52.4177287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4177360Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4177588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4177661Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4177666Z 2025-08-14T22:00:52.4177774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4178001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4178071Z return mod(*inputs) 2025-08-14T22:00:52.4178325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4178401Z x = self.forward_features(x) 2025-08-14T22:00:52.4178651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4178729Z x = self.blocks(x) 2025-08-14T22:00:52.4178973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4179051Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4179064Z 2025-08-14T22:00:52.4179171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4179383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4179461Z return mod(*inputs) 2025-08-14T22:00:52.4179685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4179758Z x = self.forward_features(x) 2025-08-14T22:00:52.4180336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4180411Z x = self.blocks(x) 2025-08-14T22:00:52.4180665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4180738Z x = self.conv_pw(x) 2025-08-14T22:00:52.4180742Z 2025-08-14T22:00:52.4180850Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4181069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4181165Z return mod(*inputs) 2025-08-14T22:00:52.4181404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4181486Z x = self.forward_features(x) 2025-08-14T22:00:52.4181728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4181805Z x = self.blocks(x) 2025-08-14T22:00:52.4182041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4182107Z x = self.conv_dw(x) 2025-08-14T22:00:52.4182128Z 2025-08-14T22:00:52.4182221Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4182327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4182530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4182610Z return mod(*inputs) 2025-08-14T22:00:52.4182820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4182915Z x = self.forward_features(x) 2025-08-14T22:00:52.4183147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4183210Z x = self.blocks(x) 2025-08-14T22:00:52.4183454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4183519Z x = self.se(x) 2025-08-14T22:00:52.4183757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4183843Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4183846Z 2025-08-14T22:00:52.4183951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4184164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4184234Z return mod(*inputs) 2025-08-14T22:00:52.4184458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4184536Z x = self.forward_features(x) 2025-08-14T22:00:52.4184783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4184872Z x = self.blocks(x) 2025-08-14T22:00:52.4185118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4185184Z x = self.se(x) 2025-08-14T22:00:52.4185427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4185504Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4185507Z 2025-08-14T22:00:52.4185612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4185825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4185900Z return mod(*inputs) 2025-08-14T22:00:52.4186129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4186202Z x = self.forward_features(x) 2025-08-14T22:00:52.4186448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4186521Z x = self.blocks(x) 2025-08-14T22:00:52.4186759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4186819Z x = self.se(x) 2025-08-14T22:00:52.4187047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4187116Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4187119Z 2025-08-14T22:00:52.4187227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4187442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4187507Z return mod(*inputs) 2025-08-14T22:00:52.4187720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4187789Z x = self.forward_features(x) 2025-08-14T22:00:52.4188016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4188088Z x = self.blocks(x) 2025-08-14T22:00:52.4188342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4188415Z x = self.se(x) 2025-08-14T22:00:52.4188650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4188727Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4188733Z 2025-08-14T22:00:52.4188845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4189068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4189135Z return mod(*inputs) 2025-08-14T22:00:52.4189362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4189436Z x = self.forward_features(x) 2025-08-14T22:00:52.4189689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4189755Z x = self.blocks(x) 2025-08-14T22:00:52.4189990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4190062Z x = self.se(x) 2025-08-14T22:00:52.4190297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4190371Z return x * self.gate(x_se) 2025-08-14T22:00:52.4190383Z 2025-08-14T22:00:52.4190487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4190694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4190769Z return mod(*inputs) 2025-08-14T22:00:52.4191010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4191084Z x = self.forward_features(x) 2025-08-14T22:00:52.4191340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4191406Z x = self.blocks(x) 2025-08-14T22:00:52.4191653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4191717Z x = self.se(x) 2025-08-14T22:00:52.4191950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4192032Z return x * self.gate(x_se) 2025-08-14T22:00:52.4192036Z 2025-08-14T22:00:52.4192142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4192347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4192424Z return mod(*inputs) 2025-08-14T22:00:52.4192644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4192723Z x = self.forward_features(x) 2025-08-14T22:00:52.4192974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4193042Z x = self.blocks(x) 2025-08-14T22:00:52.4193290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4193362Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4193385Z 2025-08-14T22:00:52.4193494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4193708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4193776Z return mod(*inputs) 2025-08-14T22:00:52.4194011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4194085Z x = self.forward_features(x) 2025-08-14T22:00:52.4194340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4194427Z x = self.blocks(x) 2025-08-14T22:00:52.4194663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T22:00:52.4194727Z x = self.bn3(x) 2025-08-14T22:00:52.4194943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4195011Z x = F.batch_norm( 2025-08-14T22:00:52.4195033Z 2025-08-14T22:00:52.4195144Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4195347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4195413Z return mod(*inputs) 2025-08-14T22:00:52.4195648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4195720Z x = self.forward_features(x) 2025-08-14T22:00:52.4195978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4196047Z x = self.blocks(x) 2025-08-14T22:00:52.4196291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4196366Z x = self.conv_pw(x) 2025-08-14T22:00:52.4196587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4196702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4196944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4197055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4197059Z 2025-08-14T22:00:52.4197191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4197403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4197480Z return mod(*inputs) 2025-08-14T22:00:52.4197705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4197778Z x = self.forward_features(x) 2025-08-14T22:00:52.4198025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4198100Z x = self.blocks(x) 2025-08-14T22:00:52.4198334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4198408Z x = self.conv_pw(x) 2025-08-14T22:00:52.4198621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4198730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4198961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4199069Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4199072Z 2025-08-14T22:00:52.4199163Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4199245Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4199351Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4199566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4199656Z return mod(*inputs) 2025-08-14T22:00:52.4199878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4199959Z x = self.forward_features(x) 2025-08-14T22:00:52.4200209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4200274Z x = self.blocks(x) 2025-08-14T22:00:52.4200539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4200608Z x = self.conv_pw(x) 2025-08-14T22:00:52.4200831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4200902Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4200905Z 2025-08-14T22:00:52.4201011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4201228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4201315Z return mod(*inputs) 2025-08-14T22:00:52.4201542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4201615Z x = self.forward_features(x) 2025-08-14T22:00:52.4201862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4201935Z x = self.blocks(x) 2025-08-14T22:00:52.4202171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4202245Z x = self.bn1(x) 2025-08-14T22:00:52.4202465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4202530Z x = F.batch_norm( 2025-08-14T22:00:52.4202534Z 2025-08-14T22:00:52.4202646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4202855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4202923Z return mod(*inputs) 2025-08-14T22:00:52.4203153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4203240Z x = self.forward_features(x) 2025-08-14T22:00:52.4203487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4203561Z x = self.blocks(x) 2025-08-14T22:00:52.4203802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4203873Z x = self.bn1(x) 2025-08-14T22:00:52.4204079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4204144Z x = self.act(x) 2025-08-14T22:00:52.4204149Z 2025-08-14T22:00:52.4204239Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4204347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4204556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4204633Z return mod(*inputs) 2025-08-14T22:00:52.4204861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4204941Z x = self.forward_features(x) 2025-08-14T22:00:52.4205193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4205261Z x = self.blocks(x) 2025-08-14T22:00:52.4205511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4205580Z x = self.conv_dw(x) 2025-08-14T22:00:52.4205800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4205938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4206167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4206284Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4206289Z 2025-08-14T22:00:52.4206374Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4206491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4206722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4206793Z return mod(*inputs) 2025-08-14T22:00:52.4207022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4207094Z x = self.forward_features(x) 2025-08-14T22:00:52.4207339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4207439Z x = self.blocks(x) 2025-08-14T22:00:52.4207675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4207741Z x = self.conv_dw(x) 2025-08-14T22:00:52.4207962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4208069Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4208301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4208409Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4208413Z 2025-08-14T22:00:52.4208496Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4208611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4208821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4208892Z return mod(*inputs) 2025-08-14T22:00:52.4209125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4209198Z x = self.forward_features(x) 2025-08-14T22:00:52.4209475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4209544Z x = self.blocks(x) 2025-08-14T22:00:52.4209793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4209869Z x = self.conv_dw(x) 2025-08-14T22:00:52.4210093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4210211Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4210446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4210553Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4210556Z 2025-08-14T22:00:52.4210643Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4210751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4210958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4211036Z return mod(*inputs) 2025-08-14T22:00:52.4211260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4211339Z x = self.forward_features(x) 2025-08-14T22:00:52.4211589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4211653Z x = self.blocks(x) 2025-08-14T22:00:52.4211899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4212000Z x = self.conv_dw(x) 2025-08-14T22:00:52.4212214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4212328Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4212558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4212669Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4212673Z 2025-08-14T22:00:52.4212780Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4212865Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4212950Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4213028Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4213136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4213350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4213440Z return mod(*inputs) 2025-08-14T22:00:52.4213681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4213756Z x = self.forward_features(x) 2025-08-14T22:00:52.4214013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4214086Z x = self.blocks(x) 2025-08-14T22:00:52.4214335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4233888Z x = self.conv_dw(x) 2025-08-14T22:00:52.4234336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4234422Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4234430Z 2025-08-14T22:00:52.4234537Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4234678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4234913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4234997Z return mod(*inputs) 2025-08-14T22:00:52.4235246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4235481Z x = self.forward_features(x) 2025-08-14T22:00:52.4235744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4235820Z x = self.blocks(x) 2025-08-14T22:00:52.4236075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4236141Z x = self.se(x) 2025-08-14T22:00:52.4236381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4236478Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4236484Z 2025-08-14T22:00:52.4236598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4236821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4236892Z return mod(*inputs) 2025-08-14T22:00:52.4237123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4237208Z x = self.forward_features(x) 2025-08-14T22:00:52.4237460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4237527Z x = self.blocks(x) 2025-08-14T22:00:52.4237776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4237841Z x = self.se(x) 2025-08-14T22:00:52.4238084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4238215Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4238220Z 2025-08-14T22:00:52.4238333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4238555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4238625Z return mod(*inputs) 2025-08-14T22:00:52.4238850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4238935Z x = self.forward_features(x) 2025-08-14T22:00:52.4239231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4239312Z x = self.blocks(x) 2025-08-14T22:00:52.4239556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4239624Z x = self.se(x) 2025-08-14T22:00:52.4239871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4239991Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4239995Z 2025-08-14T22:00:52.4240110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4240325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4240394Z return mod(*inputs) 2025-08-14T22:00:52.4240631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4240709Z x = self.forward_features(x) 2025-08-14T22:00:52.4240968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4241046Z x = self.blocks(x) 2025-08-14T22:00:52.4241285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4241356Z x = self.se(x) 2025-08-14T22:00:52.4241595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4241671Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4241676Z 2025-08-14T22:00:52.4241792Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4242037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4242107Z return mod(*inputs) 2025-08-14T22:00:52.4242339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4242414Z x = self.forward_features(x) 2025-08-14T22:00:52.4242675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4242743Z x = self.blocks(x) 2025-08-14T22:00:52.4242983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4243059Z x = self.se(x) 2025-08-14T22:00:52.4243298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4243376Z return x * self.gate(x_se) 2025-08-14T22:00:52.4243380Z 2025-08-14T22:00:52.4243501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4243712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4243789Z return mod(*inputs) 2025-08-14T22:00:52.4244018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4244093Z x = self.forward_features(x) 2025-08-14T22:00:52.4244353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4244420Z x = self.blocks(x) 2025-08-14T22:00:52.4244681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4244757Z x = self.se(x) 2025-08-14T22:00:52.4244996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4245080Z return x * self.gate(x_se) 2025-08-14T22:00:52.4245085Z 2025-08-14T22:00:52.4245174Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4245286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4245524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4245597Z return mod(*inputs) 2025-08-14T22:00:52.4245841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4245922Z x = self.forward_features(x) 2025-08-14T22:00:52.4246170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4246264Z x = self.blocks(x) 2025-08-14T22:00:52.4246504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4246576Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4246813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4246928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4247162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4247274Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4247277Z 2025-08-14T22:00:52.4247358Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4247470Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4247668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4247736Z return mod(*inputs) 2025-08-14T22:00:52.4247960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4248031Z x = self.forward_features(x) 2025-08-14T22:00:52.4248297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4248364Z x = self.blocks(x) 2025-08-14T22:00:52.4248603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4248686Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4248904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4249014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4249251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4249362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4249366Z 2025-08-14T22:00:52.4249458Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4249541Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4249650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4249869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4249937Z return mod(*inputs) 2025-08-14T22:00:52.4250161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4250242Z x = self.forward_features(x) 2025-08-14T22:00:52.4250490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4250566Z x = self.blocks(x) 2025-08-14T22:00:52.4250823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4250895Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4251120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4251191Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4251195Z 2025-08-14T22:00:52.4251309Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4251518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4251600Z return mod(*inputs) 2025-08-14T22:00:52.4251831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4251904Z x = self.forward_features(x) 2025-08-14T22:00:52.4252150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4252229Z x = self.blocks(x) 2025-08-14T22:00:52.4252500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4252589Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4252593Z 2025-08-14T22:00:52.4252702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4252912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4252987Z return mod(*inputs) 2025-08-14T22:00:52.4253212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4253285Z x = self.forward_features(x) 2025-08-14T22:00:52.4253542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4253607Z x = self.blocks(x) 2025-08-14T22:00:52.4253851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4253923Z x = self.conv_pw(x) 2025-08-14T22:00:52.4254141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4254261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4254508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4254617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4254629Z 2025-08-14T22:00:52.4254739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4254953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4255030Z return mod(*inputs) 2025-08-14T22:00:52.4255255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4255331Z x = self.forward_features(x) 2025-08-14T22:00:52.4255595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4255662Z x = self.blocks(x) 2025-08-14T22:00:52.4255912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4255984Z x = self.conv_pw(x) 2025-08-14T22:00:52.4256207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4256327Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4256562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4256670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4256674Z 2025-08-14T22:00:52.4256769Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4256934Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4257050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4257255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4257322Z return mod(*inputs) 2025-08-14T22:00:52.4257553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4257627Z x = self.forward_features(x) 2025-08-14T22:00:52.4257890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4257967Z x = self.blocks(x) 2025-08-14T22:00:52.4258207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4258283Z x = self.conv_pw(x) 2025-08-14T22:00:52.4258502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4258592Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4258596Z 2025-08-14T22:00:52.4258710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4258917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4258985Z return mod(*inputs) 2025-08-14T22:00:52.4259215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4259287Z x = self.forward_features(x) 2025-08-14T22:00:52.4259544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4259612Z x = self.blocks(x) 2025-08-14T22:00:52.4259849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4259929Z x = self.bn1(x) 2025-08-14T22:00:52.4260243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4260321Z x = F.batch_norm( 2025-08-14T22:00:52.4260336Z 2025-08-14T22:00:52.4260445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4260656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4260758Z return mod(*inputs) 2025-08-14T22:00:52.4260985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4261061Z x = self.forward_features(x) 2025-08-14T22:00:52.4261328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4261405Z x = self.blocks(x) 2025-08-14T22:00:52.4261641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4261719Z x = self.bn1(x) 2025-08-14T22:00:52.4261934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4261997Z x = self.act(x) 2025-08-14T22:00:52.4262001Z 2025-08-14T22:00:52.4262087Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4262185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4262384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4262460Z return mod(*inputs) 2025-08-14T22:00:52.4262682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4262760Z x = self.forward_features(x) 2025-08-14T22:00:52.4263005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4263069Z x = self.blocks(x) 2025-08-14T22:00:52.4263313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4263444Z x = self.conv_dw(x) 2025-08-14T22:00:52.4263661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4263779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4264006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4264121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4264125Z 2025-08-14T22:00:52.4264224Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4264330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4264544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4264612Z return mod(*inputs) 2025-08-14T22:00:52.4264831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4264948Z x = self.forward_features(x) 2025-08-14T22:00:52.4265197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4265272Z x = self.blocks(x) 2025-08-14T22:00:52.4265512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4265579Z x = self.conv_dw(x) 2025-08-14T22:00:52.4265806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4265914Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4266151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4266258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4266264Z 2025-08-14T22:00:52.4266346Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4266461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4266667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4266734Z return mod(*inputs) 2025-08-14T22:00:52.4266982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4267055Z x = self.forward_features(x) 2025-08-14T22:00:52.4267312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4267377Z x = self.blocks(x) 2025-08-14T22:00:52.4267613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4267689Z x = self.conv_dw(x) 2025-08-14T22:00:52.4267905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4268014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4268249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4268355Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4268361Z 2025-08-14T22:00:52.4268450Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4268555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4268764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4268839Z return mod(*inputs) 2025-08-14T22:00:52.4269059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4269130Z x = self.forward_features(x) 2025-08-14T22:00:52.4269383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4269469Z x = self.blocks(x) 2025-08-14T22:00:52.4269720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4269786Z x = self.conv_dw(x) 2025-08-14T22:00:52.4270007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4270121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4270365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4270478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4270482Z 2025-08-14T22:00:52.4270565Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4270646Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4270733Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4270813Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4270936Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4271149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4271217Z return mod(*inputs) 2025-08-14T22:00:52.4271440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4271521Z x = self.forward_features(x) 2025-08-14T22:00:52.4271768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4271842Z x = self.blocks(x) 2025-08-14T22:00:52.4272078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4272145Z x = self.conv_dw(x) 2025-08-14T22:00:52.4272369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4272442Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4272446Z 2025-08-14T22:00:52.4272533Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4272636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4272858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4272935Z return mod(*inputs) 2025-08-14T22:00:52.4273156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4273229Z x = self.forward_features(x) 2025-08-14T22:00:52.4273485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4273549Z x = self.blocks(x) 2025-08-14T22:00:52.4273794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4273858Z x = self.se(x) 2025-08-14T22:00:52.4274099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4274185Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4274188Z 2025-08-14T22:00:52.4274293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4274501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4274576Z return mod(*inputs) 2025-08-14T22:00:52.4274799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4274876Z x = self.forward_features(x) 2025-08-14T22:00:52.4275121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4275187Z x = self.blocks(x) 2025-08-14T22:00:52.4275431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4275516Z x = self.se(x) 2025-08-14T22:00:52.4275752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4275835Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4275839Z 2025-08-14T22:00:52.4275945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4276158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4276226Z return mod(*inputs) 2025-08-14T22:00:52.4276467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4276553Z x = self.forward_features(x) 2025-08-14T22:00:52.4276801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4276872Z x = self.blocks(x) 2025-08-14T22:00:52.4277119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4277200Z x = self.se(x) 2025-08-14T22:00:52.4277442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4277514Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4277519Z 2025-08-14T22:00:52.4277624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4277841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4277911Z return mod(*inputs) 2025-08-14T22:00:52.4278139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4278213Z x = self.forward_features(x) 2025-08-14T22:00:52.4278459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4278535Z x = self.blocks(x) 2025-08-14T22:00:52.4278772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4278835Z x = self.se(x) 2025-08-14T22:00:52.4279076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4279171Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4279175Z 2025-08-14T22:00:52.4279290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4279494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4279563Z return mod(*inputs) 2025-08-14T22:00:52.4279793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4279866Z x = self.forward_features(x) 2025-08-14T22:00:52.4280112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4280189Z x = self.blocks(x) 2025-08-14T22:00:52.4280425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4280498Z x = self.se(x) 2025-08-14T22:00:52.4280734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4280808Z return x * self.gate(x_se) 2025-08-14T22:00:52.4280811Z 2025-08-14T22:00:52.4280927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4281137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4281207Z return mod(*inputs) 2025-08-14T22:00:52.4281444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4281519Z x = self.forward_features(x) 2025-08-14T22:00:52.4281802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4281870Z x = self.blocks(x) 2025-08-14T22:00:52.4282106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4282177Z x = self.se(x) 2025-08-14T22:00:52.4282413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4282485Z return x * self.gate(x_se) 2025-08-14T22:00:52.4282496Z 2025-08-14T22:00:52.4282594Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4282703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4282914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4282982Z return mod(*inputs) 2025-08-14T22:00:52.4283200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4283300Z x = self.forward_features(x) 2025-08-14T22:00:52.4283548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4283622Z x = self.blocks(x) 2025-08-14T22:00:52.4283863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4283932Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4284159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4284270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4284501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4284619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4284624Z 2025-08-14T22:00:52.4284706Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4284820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4285023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4285090Z return mod(*inputs) 2025-08-14T22:00:52.4285342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4285416Z x = self.forward_features(x) 2025-08-14T22:00:52.4285674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4285749Z x = self.blocks(x) 2025-08-14T22:00:52.4285988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4286066Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4286283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4286395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4286631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4286737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4286742Z 2025-08-14T22:00:52.4286829Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4286911Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4287015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4287230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4287298Z return mod(*inputs) 2025-08-14T22:00:52.4287518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4287597Z x = self.forward_features(x) 2025-08-14T22:00:52.4287865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4287932Z x = self.blocks(x) 2025-08-14T22:00:52.4288180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4288247Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4288470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4288539Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4288543Z 2025-08-14T22:00:52.4288676Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4288894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4288961Z return mod(*inputs) 2025-08-14T22:00:52.4289186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4289261Z x = self.forward_features(x) 2025-08-14T22:00:52.4289523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4289598Z x = self.blocks(x) 2025-08-14T22:00:52.4289840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4289922Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4289926Z 2025-08-14T22:00:52.4290043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4290252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4290328Z return mod(*inputs) 2025-08-14T22:00:52.4290553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4290629Z x = self.forward_features(x) 2025-08-14T22:00:52.4290886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4290959Z x = self.blocks(x) 2025-08-14T22:00:52.4291199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4291277Z x = self.conv_pw(x) 2025-08-14T22:00:52.4291518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4291635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4291867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4291976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4291980Z 2025-08-14T22:00:52.4292096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4292304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4292394Z return mod(*inputs) 2025-08-14T22:00:52.4292616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4292689Z x = self.forward_features(x) 2025-08-14T22:00:52.4292944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4293010Z x = self.blocks(x) 2025-08-14T22:00:52.4293246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4293324Z x = self.conv_pw(x) 2025-08-14T22:00:52.4293539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4293652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4293880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4294008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4294012Z 2025-08-14T22:00:52.4294104Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4294185Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4294290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4294508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4294575Z return mod(*inputs) 2025-08-14T22:00:52.4294826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4294903Z x = self.forward_features(x) 2025-08-14T22:00:52.4295155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4295230Z x = self.blocks(x) 2025-08-14T22:00:52.4295475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4295567Z x = self.conv_pw(x) 2025-08-14T22:00:52.4295796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4295870Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4295874Z 2025-08-14T22:00:52.4295989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4296203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4296271Z return mod(*inputs) 2025-08-14T22:00:52.4296505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4296579Z x = self.forward_features(x) 2025-08-14T22:00:52.4296830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4296905Z x = self.blocks(x) 2025-08-14T22:00:52.4297148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4297222Z x = self.bn1(x) 2025-08-14T22:00:52.4297439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4297507Z x = F.batch_norm( 2025-08-14T22:00:52.4297511Z 2025-08-14T22:00:52.4297646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4297856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4297926Z return mod(*inputs) 2025-08-14T22:00:52.4298160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4298234Z x = self.forward_features(x) 2025-08-14T22:00:52.4298493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4298563Z x = self.blocks(x) 2025-08-14T22:00:52.4298808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4298884Z x = self.bn1(x) 2025-08-14T22:00:52.4299099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4299167Z x = self.act(x) 2025-08-14T22:00:52.4299179Z 2025-08-14T22:00:52.4299264Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4299373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4299595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4299664Z return mod(*inputs) 2025-08-14T22:00:52.4299891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4300066Z x = self.forward_features(x) 2025-08-14T22:00:52.4300356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4300438Z x = self.blocks(x) 2025-08-14T22:00:52.4300685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4300753Z x = self.conv_dw(x) 2025-08-14T22:00:52.4300988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4301102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4301355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4301478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4301482Z 2025-08-14T22:00:52.4301566Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4301683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4301896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4301988Z return mod(*inputs) 2025-08-14T22:00:52.4302223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4302298Z x = self.forward_features(x) 2025-08-14T22:00:52.4302553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4302632Z x = self.blocks(x) 2025-08-14T22:00:52.4302877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4302954Z x = self.conv_dw(x) 2025-08-14T22:00:52.4303175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4303285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4303529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4303641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4303644Z 2025-08-14T22:00:52.4303733Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4303840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4304068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4304149Z return mod(*inputs) 2025-08-14T22:00:52.4304375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4304448Z x = self.forward_features(x) 2025-08-14T22:00:52.4304709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4304776Z x = self.blocks(x) 2025-08-14T22:00:52.4305025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4305100Z x = self.conv_dw(x) 2025-08-14T22:00:52.4305319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4305438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4305672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4305778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4305782Z 2025-08-14T22:00:52.4305877Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4305986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4306206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4306278Z return mod(*inputs) 2025-08-14T22:00:52.4306519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4306623Z x = self.forward_features(x) 2025-08-14T22:00:52.4306895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4306960Z x = self.blocks(x) 2025-08-14T22:00:52.4307213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4307281Z x = self.conv_dw(x) 2025-08-14T22:00:52.4307527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4307648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4307878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4307996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4308001Z 2025-08-14T22:00:52.4308087Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4308189Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4308279Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4308359Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4308468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4308690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4308760Z return mod(*inputs) 2025-08-14T22:00:52.4309000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4309075Z x = self.forward_features(x) 2025-08-14T22:00:52.4309336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4309414Z x = self.blocks(x) 2025-08-14T22:00:52.4309666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4309735Z x = self.conv_dw(x) 2025-08-14T22:00:52.4309957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4310027Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4310030Z 2025-08-14T22:00:52.4310134Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4310243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4310450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4310527Z return mod(*inputs) 2025-08-14T22:00:52.4310746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4310819Z x = self.forward_features(x) 2025-08-14T22:00:52.4311074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4311140Z x = self.blocks(x) 2025-08-14T22:00:52.4311383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4311448Z x = self.se(x) 2025-08-14T22:00:52.4311681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4311770Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4311774Z 2025-08-14T22:00:52.4311878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4312096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4312165Z return mod(*inputs) 2025-08-14T22:00:52.4312383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4312462Z x = self.forward_features(x) 2025-08-14T22:00:52.4312706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4312803Z x = self.blocks(x) 2025-08-14T22:00:52.4313049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4313112Z x = self.se(x) 2025-08-14T22:00:52.4313359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4313433Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4313437Z 2025-08-14T22:00:52.4313558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4313770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4313838Z return mod(*inputs) 2025-08-14T22:00:52.4314055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4314135Z x = self.forward_features(x) 2025-08-14T22:00:52.4314378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4314471Z x = self.blocks(x) 2025-08-14T22:00:52.4314716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4314779Z x = self.se(x) 2025-08-14T22:00:52.4315024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4315094Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4315098Z 2025-08-14T22:00:52.4315205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4315419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4315485Z return mod(*inputs) 2025-08-14T22:00:52.4315715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4315788Z x = self.forward_features(x) 2025-08-14T22:00:52.4316034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4316107Z x = self.blocks(x) 2025-08-14T22:00:52.4316357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4316420Z x = self.se(x) 2025-08-14T22:00:52.4316662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4316738Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4316742Z 2025-08-14T22:00:52.4316855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4317062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4317128Z return mod(*inputs) 2025-08-14T22:00:52.4317361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4317434Z x = self.forward_features(x) 2025-08-14T22:00:52.4317689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4317755Z x = self.blocks(x) 2025-08-14T22:00:52.4317994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4318064Z x = self.se(x) 2025-08-14T22:00:52.4318302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4318374Z return x * self.gate(x_se) 2025-08-14T22:00:52.4318378Z 2025-08-14T22:00:52.4318493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4318705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4318799Z return mod(*inputs) 2025-08-14T22:00:52.4319027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4319103Z x = self.forward_features(x) 2025-08-14T22:00:52.4319363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4319431Z x = self.blocks(x) 2025-08-14T22:00:52.4319676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4319748Z x = self.se(x) 2025-08-14T22:00:52.4320029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4320111Z return x * self.gate(x_se) 2025-08-14T22:00:52.4320114Z 2025-08-14T22:00:52.4320195Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4320300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4320514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4320602Z return mod(*inputs) 2025-08-14T22:00:52.4320826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4320907Z x = self.forward_features(x) 2025-08-14T22:00:52.4321156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4321229Z x = self.blocks(x) 2025-08-14T22:00:52.4321466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4321537Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4321761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4321873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4322103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4322224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4322228Z 2025-08-14T22:00:52.4322309Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4322423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4322649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4322718Z return mod(*inputs) 2025-08-14T22:00:52.4322950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4323023Z x = self.forward_features(x) 2025-08-14T22:00:52.4323279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4323346Z x = self.blocks(x) 2025-08-14T22:00:52.4323584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4323666Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4323884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4323991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4324227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4324333Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4324336Z 2025-08-14T22:00:52.4324430Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4324513Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4324618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4324833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4324922Z return mod(*inputs) 2025-08-14T22:00:52.4325143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4325228Z x = self.forward_features(x) 2025-08-14T22:00:52.4325477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4325552Z x = self.blocks(x) 2025-08-14T22:00:52.4325788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4325858Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4326098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4326171Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4326174Z 2025-08-14T22:00:52.4326283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4326500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4326894Z return mod(*inputs) 2025-08-14T22:00:52.4327127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4327200Z x = self.forward_features(x) 2025-08-14T22:00:52.4327449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4327522Z x = self.blocks(x) 2025-08-14T22:00:52.4327759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4327837Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4327848Z 2025-08-14T22:00:52.4327954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4328161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4328237Z return mod(*inputs) 2025-08-14T22:00:52.4328466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4328543Z x = self.forward_features(x) 2025-08-14T22:00:52.4328815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4328881Z x = self.blocks(x) 2025-08-14T22:00:52.4329143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4329213Z x = self.conv_pw(x) 2025-08-14T22:00:52.4329216Z 2025-08-14T22:00:52.4329326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4329538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4329605Z return mod(*inputs) 2025-08-14T22:00:52.4329824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4329908Z x = self.forward_features(x) 2025-08-14T22:00:52.4330395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4330477Z x = self.blocks(x) 2025-08-14T22:00:52.4330714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4330783Z x = self.bn1(x) 2025-08-14T22:00:52.4331006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4331075Z x = F.batch_norm( 2025-08-14T22:00:52.4331081Z 2025-08-14T22:00:52.4331188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4331424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4331493Z return mod(*inputs) 2025-08-14T22:00:52.4331725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4331857Z x = self.forward_features(x) 2025-08-14T22:00:52.4332127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4332200Z x = self.blocks(x) 2025-08-14T22:00:52.4332445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4332509Z x = self.bn1(x) 2025-08-14T22:00:52.4332729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4332820Z x = self.act(x) 2025-08-14T22:00:52.4332825Z 2025-08-14T22:00:52.4332941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4333144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4333213Z return mod(*inputs) 2025-08-14T22:00:52.4333475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4333582Z x = self.forward_features(x) 2025-08-14T22:00:52.4333846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4333924Z x = self.blocks(x) 2025-08-14T22:00:52.4334172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4334248Z x = self.conv_dw(x) 2025-08-14T22:00:52.4334481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4334592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4334830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4334942Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4335176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4335246Z return conv2d_same( 2025-08-14T22:00:52.4335479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4335603Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4335871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4336044Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4336264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4336374Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4336378Z 2025-08-14T22:00:52.4336490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4336722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4336793Z return mod(*inputs) 2025-08-14T22:00:52.4337032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4337107Z x = self.forward_features(x) 2025-08-14T22:00:52.4337363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4337440Z x = self.blocks(x) 2025-08-14T22:00:52.4337685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4337753Z x = self.conv_dw(x) 2025-08-14T22:00:52.4337982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4338092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4338332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4338463Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4338682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4338760Z return conv2d_same( 2025-08-14T22:00:52.4338992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4339137Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4339149Z 2025-08-14T22:00:52.4339278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4339493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4339569Z return mod(*inputs) 2025-08-14T22:00:52.4339798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4339873Z x = self.forward_features(x) 2025-08-14T22:00:52.4340219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4340294Z x = self.blocks(x) 2025-08-14T22:00:52.4340544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4340619Z x = self.conv_dw(x) 2025-08-14T22:00:52.4340841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4340960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4341190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4341296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4341522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4341598Z return conv2d_same( 2025-08-14T22:00:52.4341833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4341945Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4342185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4342351Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4342562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4342672Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4342685Z 2025-08-14T22:00:52.4342797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4343009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4343090Z return mod(*inputs) 2025-08-14T22:00:52.4343318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4343394Z x = self.forward_features(x) 2025-08-14T22:00:52.4343656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4343723Z x = self.blocks(x) 2025-08-14T22:00:52.4343974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4344043Z x = self.conv_dw(x) 2025-08-14T22:00:52.4344266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4344380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4344610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4344741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4344968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4345036Z return conv2d_same( 2025-08-14T22:00:52.4345277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4345419Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4345423Z 2025-08-14T22:00:52.4345558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4345770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4345838Z return mod(*inputs) 2025-08-14T22:00:52.4346057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4346139Z x = self.forward_features(x) 2025-08-14T22:00:52.4346393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4346487Z x = self.blocks(x) 2025-08-14T22:00:52.4346728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4346794Z x = self.conv_dw(x) 2025-08-14T22:00:52.4347023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4347129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4347361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4347463Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4347675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4347753Z return conv2d_same( 2025-08-14T22:00:52.4347976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4348083Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4348317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4348466Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4348671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4348774Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4348778Z 2025-08-14T22:00:52.4348884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4349101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4349171Z return mod(*inputs) 2025-08-14T22:00:52.4349390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4349474Z x = self.forward_features(x) 2025-08-14T22:00:52.4349725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4349802Z x = self.blocks(x) 2025-08-14T22:00:52.4350046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4350114Z x = self.conv_dw(x) 2025-08-14T22:00:52.4350344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4350453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4350688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4350818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4351036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4351113Z return conv2d_same( 2025-08-14T22:00:52.4351342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4351482Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4351486Z 2025-08-14T22:00:52.4351606Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4351833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4351912Z return mod(*inputs) 2025-08-14T22:00:52.4352142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4352216Z x = self.forward_features(x) 2025-08-14T22:00:52.4352479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4352569Z x = self.blocks(x) 2025-08-14T22:00:52.4352817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4352896Z x = self.conv_dw(x) 2025-08-14T22:00:52.4353122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4353237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4353475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4353582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4353811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4353880Z return conv2d_same( 2025-08-14T22:00:52.4354123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T22:00:52.4354234Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T22:00:52.4354451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T22:00:52.4354624Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T22:00:52.4354829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T22:00:52.4354935Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T22:00:52.4354939Z 2025-08-14T22:00:52.4355056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4355268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4355345Z return mod(*inputs) 2025-08-14T22:00:52.4355573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4355651Z x = self.forward_features(x) 2025-08-14T22:00:52.4355913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4355982Z x = self.blocks(x) 2025-08-14T22:00:52.4356225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4356303Z x = self.conv_dw(x) 2025-08-14T22:00:52.4356522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4356638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4356868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4356976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4357237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T22:00:52.4357308Z return conv2d_same( 2025-08-14T22:00:52.4357542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T22:00:52.4357683Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T22:00:52.4357687Z 2025-08-14T22:00:52.4357774Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4357862Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4357961Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4358041Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4358156Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4358369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4358439Z return mod(*inputs) 2025-08-14T22:00:52.4358675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4358780Z x = self.forward_features(x) 2025-08-14T22:00:52.4359039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4359107Z x = self.blocks(x) 2025-08-14T22:00:52.4359357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4359433Z x = self.conv_dw(x) 2025-08-14T22:00:52.4359654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4359732Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4359736Z 2025-08-14T22:00:52.4359818Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4359926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4360153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4360221Z return mod(*inputs) 2025-08-14T22:00:52.4360440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4360518Z x = self.forward_features(x) 2025-08-14T22:00:52.4360812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4360887Z x = self.blocks(x) 2025-08-14T22:00:52.4361124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4361189Z x = self.se(x) 2025-08-14T22:00:52.4361433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4361513Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4361516Z 2025-08-14T22:00:52.4361621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4361838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4361907Z return mod(*inputs) 2025-08-14T22:00:52.4362132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4362205Z x = self.forward_features(x) 2025-08-14T22:00:52.4362450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4362524Z x = self.blocks(x) 2025-08-14T22:00:52.4362763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4362827Z x = self.se(x) 2025-08-14T22:00:52.4363068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4363146Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4363169Z 2025-08-14T22:00:52.4363284Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4363493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4363564Z return mod(*inputs) 2025-08-14T22:00:52.4363799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4363872Z x = self.forward_features(x) 2025-08-14T22:00:52.4364119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4364208Z x = self.blocks(x) 2025-08-14T22:00:52.4364445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4364516Z x = self.se(x) 2025-08-14T22:00:52.4364752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4364825Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4364846Z 2025-08-14T22:00:52.4364961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4365164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4365240Z return mod(*inputs) 2025-08-14T22:00:52.4365462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4365535Z x = self.forward_features(x) 2025-08-14T22:00:52.4365790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4365855Z x = self.blocks(x) 2025-08-14T22:00:52.4366090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4366162Z x = self.se(x) 2025-08-14T22:00:52.4366396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4366484Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4366488Z 2025-08-14T22:00:52.4366593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4366798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4366871Z return mod(*inputs) 2025-08-14T22:00:52.4367228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4367302Z x = self.forward_features(x) 2025-08-14T22:00:52.4367563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4367630Z x = self.blocks(x) 2025-08-14T22:00:52.4367875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4367940Z x = self.se(x) 2025-08-14T22:00:52.4368177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4368261Z return x * self.gate(x_se) 2025-08-14T22:00:52.4368265Z 2025-08-14T22:00:52.4368370Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4368577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4368654Z return mod(*inputs) 2025-08-14T22:00:52.4368875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4368961Z x = self.forward_features(x) 2025-08-14T22:00:52.4369210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4369277Z x = self.blocks(x) 2025-08-14T22:00:52.4369521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4369605Z x = self.se(x) 2025-08-14T22:00:52.4369842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4369925Z return x * self.gate(x_se) 2025-08-14T22:00:52.4369929Z 2025-08-14T22:00:52.4370037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4370252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4370318Z return mod(*inputs) 2025-08-14T22:00:52.4370553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4370635Z x = self.forward_features(x) 2025-08-14T22:00:52.4370917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4370990Z x = self.blocks(x) 2025-08-14T22:00:52.4371227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4371314Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4371318Z 2025-08-14T22:00:52.4371428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4371631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4371698Z return mod(*inputs) 2025-08-14T22:00:52.4371923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4371994Z x = self.forward_features(x) 2025-08-14T22:00:52.4372248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4372313Z x = self.blocks(x) 2025-08-14T22:00:52.4372548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T22:00:52.4372619Z x = self.bn3(x) 2025-08-14T22:00:52.4372829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4372897Z x = F.batch_norm( 2025-08-14T22:00:52.4372900Z 2025-08-14T22:00:52.4373012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4373215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4373304Z return mod(*inputs) 2025-08-14T22:00:52.4373527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4373600Z x = self.forward_features(x) 2025-08-14T22:00:52.4373892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4373961Z x = self.blocks(x) 2025-08-14T22:00:52.4374200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4374280Z x = self.conv_pw(x) 2025-08-14T22:00:52.4374285Z 2025-08-14T22:00:52.4374392Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4374610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4374680Z return mod(*inputs) 2025-08-14T22:00:52.4374905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4374989Z x = self.forward_features(x) 2025-08-14T22:00:52.4375240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4375312Z x = self.blocks(x) 2025-08-14T22:00:52.4375565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4375634Z x = self.bn1(x) 2025-08-14T22:00:52.4375859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4375950Z x = F.batch_norm( 2025-08-14T22:00:52.4375954Z 2025-08-14T22:00:52.4376061Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4376286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4376357Z return mod(*inputs) 2025-08-14T22:00:52.4376597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4376673Z x = self.forward_features(x) 2025-08-14T22:00:52.4376958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4377037Z x = self.blocks(x) 2025-08-14T22:00:52.4377289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4377352Z x = self.bn1(x) 2025-08-14T22:00:52.4377570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4377655Z x = self.act(x) 2025-08-14T22:00:52.4377659Z 2025-08-14T22:00:52.4377748Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4377854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4378062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4378137Z return mod(*inputs) 2025-08-14T22:00:52.4378363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4378441Z x = self.forward_features(x) 2025-08-14T22:00:52.4378704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4378772Z x = self.blocks(x) 2025-08-14T22:00:52.4379025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4379097Z x = self.conv_dw(x) 2025-08-14T22:00:52.4379325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4379446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4379700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4379814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4379826Z 2025-08-14T22:00:52.4379910Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4380110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4380336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4380406Z return mod(*inputs) 2025-08-14T22:00:52.4380637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4380722Z x = self.forward_features(x) 2025-08-14T22:00:52.4380980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4381050Z x = self.blocks(x) 2025-08-14T22:00:52.4381308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4381377Z x = self.conv_dw(x) 2025-08-14T22:00:52.4381608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4381720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4381954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4382072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4382076Z 2025-08-14T22:00:52.4382179Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4382289Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4382491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4382560Z return mod(*inputs) 2025-08-14T22:00:52.4382782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4382854Z x = self.forward_features(x) 2025-08-14T22:00:52.4383091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4383189Z x = self.blocks(x) 2025-08-14T22:00:52.4383413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4383484Z x = self.conv_dw(x) 2025-08-14T22:00:52.4383684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4383784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4384029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4384134Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4384137Z 2025-08-14T22:00:52.4384222Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4384336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4384542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4384616Z return mod(*inputs) 2025-08-14T22:00:52.4384835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4384906Z x = self.forward_features(x) 2025-08-14T22:00:52.4385156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4385225Z x = self.blocks(x) 2025-08-14T22:00:52.4385460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4385536Z x = self.conv_dw(x) 2025-08-14T22:00:52.4385748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4385874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4386102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4386208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4386211Z 2025-08-14T22:00:52.4386300Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4386381Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4386466Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4386543Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4386650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4386866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4386933Z return mod(*inputs) 2025-08-14T22:00:52.4387157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4387237Z x = self.forward_features(x) 2025-08-14T22:00:52.4387485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4387553Z x = self.blocks(x) 2025-08-14T22:00:52.4387797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4387862Z x = self.conv_dw(x) 2025-08-14T22:00:52.4388084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4388177Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4388182Z 2025-08-14T22:00:52.4388262Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4388376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4388581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4388654Z return mod(*inputs) 2025-08-14T22:00:52.4388875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4388948Z x = self.forward_features(x) 2025-08-14T22:00:52.4389214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4389282Z x = self.blocks(x) 2025-08-14T22:00:52.4389526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4389596Z x = self.se(x) 2025-08-14T22:00:52.4389820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4389923Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4389927Z 2025-08-14T22:00:52.4390033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4390244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4390321Z return mod(*inputs) 2025-08-14T22:00:52.4390543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4390621Z x = self.forward_features(x) 2025-08-14T22:00:52.4390878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4390948Z x = self.blocks(x) 2025-08-14T22:00:52.4391194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4391264Z x = self.se(x) 2025-08-14T22:00:52.4391503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4391592Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4391596Z 2025-08-14T22:00:52.4391707Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4391931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4392009Z return mod(*inputs) 2025-08-14T22:00:52.4392228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4392309Z x = self.forward_features(x) 2025-08-14T22:00:52.4392563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4392629Z x = self.blocks(x) 2025-08-14T22:00:52.4392879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4392948Z x = self.se(x) 2025-08-14T22:00:52.4393184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4393266Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4393270Z 2025-08-14T22:00:52.4393380Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4393614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4393681Z return mod(*inputs) 2025-08-14T22:00:52.4393902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4393984Z x = self.forward_features(x) 2025-08-14T22:00:52.4394227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4394301Z x = self.blocks(x) 2025-08-14T22:00:52.4394561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4394627Z x = self.se(x) 2025-08-14T22:00:52.4394868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4394943Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4394949Z 2025-08-14T22:00:52.4395054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4395266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4395351Z return mod(*inputs) 2025-08-14T22:00:52.4395579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4395651Z x = self.forward_features(x) 2025-08-14T22:00:52.4395895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4395971Z x = self.blocks(x) 2025-08-14T22:00:52.4396218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4396282Z x = self.se(x) 2025-08-14T22:00:52.4396521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4396593Z return x * self.gate(x_se) 2025-08-14T22:00:52.4396596Z 2025-08-14T22:00:52.4396707Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4396911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4396979Z return mod(*inputs) 2025-08-14T22:00:52.4397204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4397277Z x = self.forward_features(x) 2025-08-14T22:00:52.4397521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4397597Z x = self.blocks(x) 2025-08-14T22:00:52.4397831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4397900Z x = self.se(x) 2025-08-14T22:00:52.4398149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4398222Z return x * self.gate(x_se) 2025-08-14T22:00:52.4398226Z 2025-08-14T22:00:52.4398315Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4398422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4398627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4398702Z return mod(*inputs) 2025-08-14T22:00:52.4398922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4399002Z x = self.forward_features(x) 2025-08-14T22:00:52.4399248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4399313Z x = self.blocks(x) 2025-08-14T22:00:52.4399558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4399628Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4399841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4399961Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4400185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4400299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4400303Z 2025-08-14T22:00:52.4400404Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4400508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4400720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4400787Z return mod(*inputs) 2025-08-14T22:00:52.4401019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4401090Z x = self.forward_features(x) 2025-08-14T22:00:52.4401331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4401420Z x = self.blocks(x) 2025-08-14T22:00:52.4401658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4401726Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4401948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4402058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4402307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4402412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4402416Z 2025-08-14T22:00:52.4402499Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4402587Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4402691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4402897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4402972Z return mod(*inputs) 2025-08-14T22:00:52.4403190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4403272Z x = self.forward_features(x) 2025-08-14T22:00:52.4403514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4403583Z x = self.blocks(x) 2025-08-14T22:00:52.4403823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4403892Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4404122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4404203Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4404206Z 2025-08-14T22:00:52.4404317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4404533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4404603Z return mod(*inputs) 2025-08-14T22:00:52.4404823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4404908Z x = self.forward_features(x) 2025-08-14T22:00:52.4405156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4405236Z x = self.blocks(x) 2025-08-14T22:00:52.4405474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4405556Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4405560Z 2025-08-14T22:00:52.4405674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4405881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4405949Z return mod(*inputs) 2025-08-14T22:00:52.4406179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4406254Z x = self.forward_features(x) 2025-08-14T22:00:52.4406509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4406607Z x = self.blocks(x) 2025-08-14T22:00:52.4406842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4406918Z x = self.conv_pw(x) 2025-08-14T22:00:52.4406921Z 2025-08-14T22:00:52.4407026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4407231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4407306Z return mod(*inputs) 2025-08-14T22:00:52.4407541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4407622Z x = self.forward_features(x) 2025-08-14T22:00:52.4407864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4407929Z x = self.blocks(x) 2025-08-14T22:00:52.4408173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4408255Z x = self.bn1(x) 2025-08-14T22:00:52.4408464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4408539Z x = F.batch_norm( 2025-08-14T22:00:52.4408543Z 2025-08-14T22:00:52.4408650Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4408863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4408931Z return mod(*inputs) 2025-08-14T22:00:52.4409153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4409235Z x = self.forward_features(x) 2025-08-14T22:00:52.4409482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4409550Z x = self.blocks(x) 2025-08-14T22:00:52.4409795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4409860Z x = self.bn1(x) 2025-08-14T22:00:52.4410076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4410139Z x = self.act(x) 2025-08-14T22:00:52.4410160Z 2025-08-14T22:00:52.4410245Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4410359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4410563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4410636Z return mod(*inputs) 2025-08-14T22:00:52.4410855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4410928Z x = self.forward_features(x) 2025-08-14T22:00:52.4411183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4411251Z x = self.blocks(x) 2025-08-14T22:00:52.4411487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4411561Z x = self.conv_dw(x) 2025-08-14T22:00:52.4411775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4411889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4412117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4412222Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4412226Z 2025-08-14T22:00:52.4412315Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4412419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4412620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4412715Z return mod(*inputs) 2025-08-14T22:00:52.4412939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4413017Z x = self.forward_features(x) 2025-08-14T22:00:52.4413263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4413327Z x = self.blocks(x) 2025-08-14T22:00:52.4413585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4413652Z x = self.conv_dw(x) 2025-08-14T22:00:52.4413867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4413980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4414206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4414338Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4414342Z 2025-08-14T22:00:52.4414424Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4414527Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4414741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4414807Z return mod(*inputs) 2025-08-14T22:00:52.4415033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4415111Z x = self.forward_features(x) 2025-08-14T22:00:52.4415355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4415428Z x = self.blocks(x) 2025-08-14T22:00:52.4415663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4415733Z x = self.conv_dw(x) 2025-08-14T22:00:52.4415953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4416059Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4416306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4416412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4416416Z 2025-08-14T22:00:52.4416500Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4416613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4416817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4416885Z return mod(*inputs) 2025-08-14T22:00:52.4417114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4417190Z x = self.forward_features(x) 2025-08-14T22:00:52.4417443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4417509Z x = self.blocks(x) 2025-08-14T22:00:52.4417746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4417820Z x = self.conv_dw(x) 2025-08-14T22:00:52.4418037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4418142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4418373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4418479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4418502Z 2025-08-14T22:00:52.4418595Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4418681Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4418763Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4418850Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4418957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4419168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4419245Z return mod(*inputs) 2025-08-14T22:00:52.4419505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4419588Z x = self.forward_features(x) 2025-08-14T22:00:52.4419856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4419925Z x = self.blocks(x) 2025-08-14T22:00:52.4420264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4420367Z x = self.conv_dw(x) 2025-08-14T22:00:52.4420597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4420679Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4420683Z 2025-08-14T22:00:52.4420767Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4420887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4421104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4421176Z return mod(*inputs) 2025-08-14T22:00:52.4421417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4421492Z x = self.forward_features(x) 2025-08-14T22:00:52.4421752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4421837Z x = self.blocks(x) 2025-08-14T22:00:52.4422089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4422164Z x = self.se(x) 2025-08-14T22:00:52.4422410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4422510Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4422514Z 2025-08-14T22:00:52.4422632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4422844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4422921Z return mod(*inputs) 2025-08-14T22:00:52.4423148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4423224Z x = self.forward_features(x) 2025-08-14T22:00:52.4423485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4423556Z x = self.blocks(x) 2025-08-14T22:00:52.4423799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4423875Z x = self.se(x) 2025-08-14T22:00:52.4424117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4424199Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4424203Z 2025-08-14T22:00:52.4424311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4424523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4424598Z return mod(*inputs) 2025-08-14T22:00:52.4424823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4424898Z x = self.forward_features(x) 2025-08-14T22:00:52.4425183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4425252Z x = self.blocks(x) 2025-08-14T22:00:52.4425500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4425565Z x = self.se(x) 2025-08-14T22:00:52.4425803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4425883Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4425887Z 2025-08-14T22:00:52.4426011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4426222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4426299Z return mod(*inputs) 2025-08-14T22:00:52.4426527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4426607Z x = self.forward_features(x) 2025-08-14T22:00:52.4426879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4426946Z x = self.blocks(x) 2025-08-14T22:00:52.4427194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4427260Z x = self.se(x) 2025-08-14T22:00:52.4427500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4427584Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4427588Z 2025-08-14T22:00:52.4427695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4427910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4427981Z return mod(*inputs) 2025-08-14T22:00:52.4428207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4428290Z x = self.forward_features(x) 2025-08-14T22:00:52.4428543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4428617Z x = self.blocks(x) 2025-08-14T22:00:52.4428897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4428965Z x = self.se(x) 2025-08-14T22:00:52.4429212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4429286Z return x * self.gate(x_se) 2025-08-14T22:00:52.4429290Z 2025-08-14T22:00:52.4429396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4429611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4429680Z return mod(*inputs) 2025-08-14T22:00:52.4429913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4430229Z x = self.forward_features(x) 2025-08-14T22:00:52.4430493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4430570Z x = self.blocks(x) 2025-08-14T22:00:52.4430814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4430880Z x = self.se(x) 2025-08-14T22:00:52.4431132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4431206Z return x * self.gate(x_se) 2025-08-14T22:00:52.4431210Z 2025-08-14T22:00:52.4431302Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4431413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4431626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4431758Z return mod(*inputs) 2025-08-14T22:00:52.4431986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4432061Z x = self.forward_features(x) 2025-08-14T22:00:52.4432326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4432393Z x = self.blocks(x) 2025-08-14T22:00:52.4432672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4432745Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4432966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4433088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4433320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4433461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4433473Z 2025-08-14T22:00:52.4433559Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4433667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4433897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4433965Z return mod(*inputs) 2025-08-14T22:00:52.4434187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4434269Z x = self.forward_features(x) 2025-08-14T22:00:52.4434514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4434587Z x = self.blocks(x) 2025-08-14T22:00:52.4434825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4434898Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4435124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4435228Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4435478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4435593Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4435596Z 2025-08-14T22:00:52.4435679Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4435765Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4435868Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4436075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4436148Z return mod(*inputs) 2025-08-14T22:00:52.4436369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4436444Z x = self.forward_features(x) 2025-08-14T22:00:52.4436696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4436763Z x = self.blocks(x) 2025-08-14T22:00:52.4437007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4437077Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4437293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4437372Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4437376Z 2025-08-14T22:00:52.4437482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4437686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4437780Z return mod(*inputs) 2025-08-14T22:00:52.4438004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4438083Z x = self.forward_features(x) 2025-08-14T22:00:52.4438331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4438397Z x = self.blocks(x) 2025-08-14T22:00:52.4438644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4438750Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4438754Z 2025-08-14T22:00:52.4438868Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4439075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4439143Z return mod(*inputs) 2025-08-14T22:00:52.4439375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4439467Z x = self.forward_features(x) 2025-08-14T22:00:52.4439711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4439784Z x = self.blocks(x) 2025-08-14T22:00:52.4440021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T22:00:52.4440095Z x = self.conv_pw(x) 2025-08-14T22:00:52.4440099Z 2025-08-14T22:00:52.4440205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4440411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4440488Z return mod(*inputs) 2025-08-14T22:00:52.4440707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4440780Z x = self.forward_features(x) 2025-08-14T22:00:52.4441034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4441103Z x = self.blocks(x) 2025-08-14T22:00:52.4441345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4441409Z x = self.bn1(x) 2025-08-14T22:00:52.4441636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T22:00:52.4441712Z x = F.batch_norm( 2025-08-14T22:00:52.4441715Z 2025-08-14T22:00:52.4441822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4442025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4442097Z return mod(*inputs) 2025-08-14T22:00:52.4442318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4442396Z x = self.forward_features(x) 2025-08-14T22:00:52.4442646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4442709Z x = self.blocks(x) 2025-08-14T22:00:52.4442953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T22:00:52.4443021Z x = self.bn1(x) 2025-08-14T22:00:52.4443232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T22:00:52.4443303Z x = self.act(x) 2025-08-14T22:00:52.4443308Z 2025-08-14T22:00:52.4443388Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4443498Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4443703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4443770Z return mod(*inputs) 2025-08-14T22:00:52.4444018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4444093Z x = self.forward_features(x) 2025-08-14T22:00:52.4444336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4444408Z x = self.blocks(x) 2025-08-14T22:00:52.4444644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4444715Z x = self.conv_dw(x) 2025-08-14T22:00:52.4444947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4445058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4445290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4445397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4445402Z 2025-08-14T22:00:52.4445508Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4445614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4445822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4445897Z return mod(*inputs) 2025-08-14T22:00:52.4446125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4446198Z x = self.forward_features(x) 2025-08-14T22:00:52.4446451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4446518Z x = self.blocks(x) 2025-08-14T22:00:52.4446761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4446829Z x = self.conv_dw(x) 2025-08-14T22:00:52.4447044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4447163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4447388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4447493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4447518Z 2025-08-14T22:00:52.4447610Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4447715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4447926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4447994Z return mod(*inputs) 2025-08-14T22:00:52.4448216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4448301Z x = self.forward_features(x) 2025-08-14T22:00:52.4448550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4448619Z x = self.blocks(x) 2025-08-14T22:00:52.4448875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4448942Z x = self.conv_dw(x) 2025-08-14T22:00:52.4449170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4449275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4449497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4449610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4449613Z 2025-08-14T22:00:52.4449695Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4449807Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4450034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4450105Z return mod(*inputs) 2025-08-14T22:00:52.4450339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4450413Z x = self.forward_features(x) 2025-08-14T22:00:52.4450669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4450744Z x = self.blocks(x) 2025-08-14T22:00:52.4451009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4451086Z x = self.conv_dw(x) 2025-08-14T22:00:52.4451310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4451429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4451667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4451804Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4451807Z 2025-08-14T22:00:52.4451890Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4451978Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4452060Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4452145Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4452251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4452456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4452533Z return mod(*inputs) 2025-08-14T22:00:52.4452753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4452825Z x = self.forward_features(x) 2025-08-14T22:00:52.4453125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4453193Z x = self.blocks(x) 2025-08-14T22:00:52.4453435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T22:00:52.4453501Z x = self.conv_dw(x) 2025-08-14T22:00:52.4453781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4453858Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4453862Z 2025-08-14T22:00:52.4453940Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4454046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4454259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4454326Z return mod(*inputs) 2025-08-14T22:00:52.4454553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4454628Z x = self.forward_features(x) 2025-08-14T22:00:52.4454880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4454955Z x = self.blocks(x) 2025-08-14T22:00:52.4455197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4455265Z x = self.se(x) 2025-08-14T22:00:52.4455513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T22:00:52.4455594Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T22:00:52.4455598Z 2025-08-14T22:00:52.4455712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4455928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4455994Z return mod(*inputs) 2025-08-14T22:00:52.4456217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4456318Z x = self.forward_features(x) 2025-08-14T22:00:52.4456569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4456641Z x = self.blocks(x) 2025-08-14T22:00:52.4456886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4456954Z x = self.se(x) 2025-08-14T22:00:52.4457215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T22:00:52.4457292Z x_se = self.conv_reduce(x_se) 2025-08-14T22:00:52.4457296Z 2025-08-14T22:00:52.4457410Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4457614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4457690Z return mod(*inputs) 2025-08-14T22:00:52.4457911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4458034Z x = self.forward_features(x) 2025-08-14T22:00:52.4458293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4458363Z x = self.blocks(x) 2025-08-14T22:00:52.4458608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4458683Z x = self.se(x) 2025-08-14T22:00:52.4458939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T22:00:52.4459019Z x_se = self.act1(x_se) 2025-08-14T22:00:52.4459023Z 2025-08-14T22:00:52.4459132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4459354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4459436Z return mod(*inputs) 2025-08-14T22:00:52.4459667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4459743Z x = self.forward_features(x) 2025-08-14T22:00:52.4460109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4460187Z x = self.blocks(x) 2025-08-14T22:00:52.4460440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4460508Z x = self.se(x) 2025-08-14T22:00:52.4460756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T22:00:52.4460844Z x_se = self.conv_expand(x_se) 2025-08-14T22:00:52.4460849Z 2025-08-14T22:00:52.4460959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4461175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4461255Z return mod(*inputs) 2025-08-14T22:00:52.4461484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4461567Z x = self.forward_features(x) 2025-08-14T22:00:52.4461823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4461892Z x = self.blocks(x) 2025-08-14T22:00:52.4462148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4462214Z x = self.se(x) 2025-08-14T22:00:52.4462455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4462539Z return x * self.gate(x_se) 2025-08-14T22:00:52.4462542Z 2025-08-14T22:00:52.4462671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4462891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4462963Z return mod(*inputs) 2025-08-14T22:00:52.4463189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4463274Z x = self.forward_features(x) 2025-08-14T22:00:52.4463522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4463597Z x = self.blocks(x) 2025-08-14T22:00:52.4463853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T22:00:52.4463921Z x = self.se(x) 2025-08-14T22:00:52.4464167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T22:00:52.4464243Z return x * self.gate(x_se) 2025-08-14T22:00:52.4464249Z 2025-08-14T22:00:52.4464350Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4464467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4464676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4464754Z return mod(*inputs) 2025-08-14T22:00:52.4464984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4465058Z x = self.forward_features(x) 2025-08-14T22:00:52.4465319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4465386Z x = self.blocks(x) 2025-08-14T22:00:52.4465629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4465710Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4465934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4466058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4466291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4466400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4466423Z 2025-08-14T22:00:52.4466516Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4466625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4466835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4466912Z return mod(*inputs) 2025-08-14T22:00:52.4467137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4467219Z x = self.forward_features(x) 2025-08-14T22:00:52.4467469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4467540Z x = self.blocks(x) 2025-08-14T22:00:52.4467790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4467860Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4468081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T22:00:52.4468197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4468430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T22:00:52.4468546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T22:00:52.4468549Z 2025-08-14T22:00:52.4468630Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4468713Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4468849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4469061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4469138Z return mod(*inputs) 2025-08-14T22:00:52.4469364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4469440Z x = self.forward_features(x) 2025-08-14T22:00:52.4469696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4469764Z x = self.blocks(x) 2025-08-14T22:00:52.4470022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T22:00:52.4470104Z x = self.conv_pwl(x) 2025-08-14T22:00:52.4470326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T22:00:52.4470406Z x = torch.cat(x_out, 1) 2025-08-14T22:00:52.4470412Z 2025-08-14T22:00:52.4470520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4470754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4470839Z return mod(*inputs) 2025-08-14T22:00:52.4471060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4471132Z x = self.forward_features(x) 2025-08-14T22:00:52.4471384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T22:00:52.4471450Z x = self.blocks(x) 2025-08-14T22:00:52.4471703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T22:00:52.4471774Z x = self.drop_path(x) + shortcut 2025-08-14T22:00:52.4471778Z 2025-08-14T22:00:52.4471876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4472079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4472146Z return mod(*inputs) 2025-08-14T22:00:52.4472352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T22:00:52.4472429Z x = self.forward_features(x) 2025-08-14T22:00:52.4472676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-14T22:00:52.4472753Z x = self.conv_head(x) 2025-08-14T22:00:52.4472757Z 2025-08-14T22:00:52.4472839Z cudagraph partition due to non gpu ops 2025-08-14T22:00:52.4472943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4473159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4473226Z return mod(*inputs) 2025-08-14T22:00:52.4473448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T22:00:52.4473533Z x = self.forward_head(x) 2025-08-14T22:00:52.4473771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T22:00:52.4473852Z x = self.global_pool(x) 2025-08-14T22:00:52.4474096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T22:00:52.4474164Z x = self.pool(x) 2025-08-14T22:00:52.4474168Z 2025-08-14T22:00:52.4474282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:00:52.4474489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:00:52.4474563Z return mod(*inputs) 2025-08-14T22:00:52.4474781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T22:00:52.4474856Z x = self.forward_head(x) 2025-08-14T22:00:52.4475124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-14T22:00:52.4475228Z return x if pre_logits else self.classifier(x) 2025-08-14T22:00:52.4475232Z 2025-08-14T22:01:11.5241887Z Compilation time (from dynamo_timed): 50.917941691 2025-08-14T22:01:11.5242590Z pass 2025-08-14T22:01:11.5242936Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:01:11.5244132Z TIMING: _recursive_pre_grad_passes:0.01219 _recursive_joint_graph_passes:0.22782 _recursive_post_grad_passes:0.18285 async_compile.wait:0.8568 code_gen:17.46781 inductor_compile:24.79346 backend_compile:40.62013 gc:0.00068 entire_frame_compile:50.91794 total_wall_time:50.91794 2025-08-14T22:01:11.5245352Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:20359 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:9729 | ProxyTorchDispatchMode.__torch_dispatch__:7408 2025-08-14T22:01:11.5245991Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-08-14T22:01:19.7552420Z 2025-08-14T22:01:19.8885854Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:01:19.8888727Z 2025-08-14T22:01:19.9675638Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-14T22:07:30.4487042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T22:07:30.4487373Z x = self.conv(x) 2025-08-14T22:07:30.4487480Z 2025-08-14T22:07:30.4487591Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4487969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4488319Z return mod(*inputs) 2025-08-14T22:07:30.4488635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4488986Z x = self.forward_features(x) 2025-08-14T22:07:30.4489343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T22:07:30.4489760Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T22:07:30.4490151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T22:07:30.4490480Z x = self.conv(x) 2025-08-14T22:07:30.4490590Z 2025-08-14T22:07:30.4490696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4491074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4491402Z return mod(*inputs) 2025-08-14T22:07:30.4491712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4492049Z x = self.forward_features(x) 2025-08-14T22:07:30.4492392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T22:07:30.4492801Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T22:07:30.4493169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T22:07:30.4493492Z x = self.conv(x) 2025-08-14T22:07:30.4493614Z 2025-08-14T22:07:30.4493720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4494093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4494428Z return mod(*inputs) 2025-08-14T22:07:30.4494730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4495048Z x = self.forward_features(x) 2025-08-14T22:07:30.4495398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T22:07:30.4495803Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T22:07:30.4496163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T22:07:30.4496487Z x = self.conv(x) 2025-08-14T22:07:30.4496589Z 2025-08-14T22:07:30.4496702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4497074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4497407Z return mod(*inputs) 2025-08-14T22:07:30.4497710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4498068Z x = self.forward_features(x) 2025-08-14T22:07:30.4498424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T22:07:30.4498842Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T22:07:30.4499221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T22:07:30.4499549Z x = self.conv(x) 2025-08-14T22:07:30.4499652Z 2025-08-14T22:07:30.4499782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4500265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4500717Z return mod(*inputs) 2025-08-14T22:07:30.4501031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4501381Z x = self.forward_features(x) 2025-08-14T22:07:30.4501753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T22:07:30.4502181Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T22:07:30.4502557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T22:07:30.4502894Z x = self.conv(x) 2025-08-14T22:07:30.4503001Z 2025-08-14T22:07:30.4503119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4503512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4503902Z return mod(*inputs) 2025-08-14T22:07:30.4504214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4504554Z x = self.forward_features(x) 2025-08-14T22:07:30.4504906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T22:07:30.4505323Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T22:07:30.4505704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T22:07:30.4506064Z x = self.proj(x) # B, C, H, W 2025-08-14T22:07:30.4506208Z 2025-08-14T22:07:30.4506738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4507145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4507511Z return mod(*inputs) 2025-08-14T22:07:30.4507817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4508216Z x = self.forward_features(x) 2025-08-14T22:07:30.4508601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4508998Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4509370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4509729Z x = block(x) 2025-08-14T22:07:30.4510052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4510432Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4510795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T22:07:30.4511209Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T22:07:30.4511395Z 2025-08-14T22:07:30.4511487Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4511742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4512121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4512460Z return mod(*inputs) 2025-08-14T22:07:30.4512761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4513120Z x = self.forward_features(x) 2025-08-14T22:07:30.4513475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4513836Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4514174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4514517Z x = block(x) 2025-08-14T22:07:30.4514826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4515174Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4515526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T22:07:30.4515869Z attn = self.attn(attn).reshape( 2025-08-14T22:07:30.4516002Z 2025-08-14T22:07:30.4516115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4516480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4516820Z return mod(*inputs) 2025-08-14T22:07:30.4517124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4517458Z x = self.forward_features(x) 2025-08-14T22:07:30.4517818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4518199Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4518553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4518930Z x = block(x) 2025-08-14T22:07:30.4519227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4519582Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4519923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T22:07:30.4520276Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T22:07:30.4520425Z 2025-08-14T22:07:30.4520538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4520913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4521247Z return mod(*inputs) 2025-08-14T22:07:30.4521551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4521888Z x = self.forward_features(x) 2025-08-14T22:07:30.4522237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4522621Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4522957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4523306Z x = block(x) 2025-08-14T22:07:30.4523592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4523955Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4524310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4524733Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4524967Z 2025-08-14T22:07:30.4525073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4525451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4525791Z return mod(*inputs) 2025-08-14T22:07:30.4526088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4526421Z x = self.forward_features(x) 2025-08-14T22:07:30.4526771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4527145Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4527489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4527842Z x = block(x) 2025-08-14T22:07:30.4528137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4528495Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4528868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4529294Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4529526Z 2025-08-14T22:07:30.4529639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4530265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4530622Z return mod(*inputs) 2025-08-14T22:07:30.4530934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4531264Z x = self.forward_features(x) 2025-08-14T22:07:30.4531619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4531987Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4532335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4532678Z x = block(x) 2025-08-14T22:07:30.4532971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4533402Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4533742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4534158Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4534383Z 2025-08-14T22:07:30.4534469Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4534697Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4534940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4535319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4535680Z return mod(*inputs) 2025-08-14T22:07:30.4535980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4536323Z x = self.forward_features(x) 2025-08-14T22:07:30.4536677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4537072Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4537413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4537760Z x = block(x) 2025-08-14T22:07:30.4538051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4538399Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4538752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4539101Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4539247Z 2025-08-14T22:07:30.4539366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4539753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4540181Z return mod(*inputs) 2025-08-14T22:07:30.4540514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4540852Z x = self.forward_features(x) 2025-08-14T22:07:30.4541250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4541641Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4541987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4542336Z x = block(x) 2025-08-14T22:07:30.4542636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4542998Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4543373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4543735Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4543881Z 2025-08-14T22:07:30.4544000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4544385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4544727Z return mod(*inputs) 2025-08-14T22:07:30.4545040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4545386Z x = self.forward_features(x) 2025-08-14T22:07:30.4545741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4546112Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4546465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4546819Z x = block(x) 2025-08-14T22:07:30.4547116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4547510Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4547872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4548201Z x = self.fc1(x) 2025-08-14T22:07:30.4548311Z 2025-08-14T22:07:30.4548421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4548808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4549155Z return mod(*inputs) 2025-08-14T22:07:30.4549474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4549826Z x = self.forward_features(x) 2025-08-14T22:07:30.4562460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4563037Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4563417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4563872Z x = block(x) 2025-08-14T22:07:30.4564186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4564560Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4564930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4565264Z x = self.act(x) 2025-08-14T22:07:30.4565371Z 2025-08-14T22:07:30.4565498Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4565888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4566243Z return mod(*inputs) 2025-08-14T22:07:30.4566564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4566912Z x = self.forward_features(x) 2025-08-14T22:07:30.4567270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4567648Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4567999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4568340Z x = block(x) 2025-08-14T22:07:30.4568698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4569061Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4569415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4569732Z x = self.fc2(x) 2025-08-14T22:07:30.4569842Z 2025-08-14T22:07:30.4569953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4570359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4570700Z return mod(*inputs) 2025-08-14T22:07:30.4571018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4571366Z x = self.forward_features(x) 2025-08-14T22:07:30.4571732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4572101Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4572453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4572803Z x = block(x) 2025-08-14T22:07:30.4573098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4573447Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4573790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T22:07:30.4574160Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T22:07:30.4574376Z 2025-08-14T22:07:30.4574461Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4574704Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4575083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4575421Z return mod(*inputs) 2025-08-14T22:07:30.4575735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4576080Z x = self.forward_features(x) 2025-08-14T22:07:30.4576447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4576818Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4577175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4577532Z x = block(x) 2025-08-14T22:07:30.4577828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4578220Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4578581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T22:07:30.4578925Z attn = self.attn(attn).reshape( 2025-08-14T22:07:30.4579064Z 2025-08-14T22:07:30.4579178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4579565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4579919Z return mod(*inputs) 2025-08-14T22:07:30.4580328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4580675Z x = self.forward_features(x) 2025-08-14T22:07:30.4581046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4581434Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4581745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4582067Z x = block(x) 2025-08-14T22:07:30.4582342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4582666Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4583024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T22:07:30.4583357Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T22:07:30.4583501Z 2025-08-14T22:07:30.4583615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4583967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4584294Z return mod(*inputs) 2025-08-14T22:07:30.4584602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4584917Z x = self.forward_features(x) 2025-08-14T22:07:30.4585257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4585604Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4585938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4586279Z x = block(x) 2025-08-14T22:07:30.4586573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4586927Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4587268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4587693Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4587929Z 2025-08-14T22:07:30.4588033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4588408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4588729Z return mod(*inputs) 2025-08-14T22:07:30.4589013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4589347Z x = self.forward_features(x) 2025-08-14T22:07:30.4589703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4590060Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4590402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4590748Z x = block(x) 2025-08-14T22:07:30.4591036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4591396Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4591733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4592147Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4592350Z 2025-08-14T22:07:30.4592457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4592838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4593181Z return mod(*inputs) 2025-08-14T22:07:30.4593487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4593820Z x = self.forward_features(x) 2025-08-14T22:07:30.4594172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4594526Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4594874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4595217Z x = block(x) 2025-08-14T22:07:30.4595502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4595856Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4596203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4596629Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4596846Z 2025-08-14T22:07:30.4596935Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4597165Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4597413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4597784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4598148Z return mod(*inputs) 2025-08-14T22:07:30.4598456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4598792Z x = self.forward_features(x) 2025-08-14T22:07:30.4599135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4599500Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4599841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4600174Z x = block(x) 2025-08-14T22:07:30.4600466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4600815Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4601159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4601487Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4601635Z 2025-08-14T22:07:30.4601741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4602131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4602463Z return mod(*inputs) 2025-08-14T22:07:30.4602765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4603096Z x = self.forward_features(x) 2025-08-14T22:07:30.4603444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4603793Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4604132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4604553Z x = block(x) 2025-08-14T22:07:30.4604835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4605187Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4605534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4605931Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4606075Z 2025-08-14T22:07:30.4606183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4606572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4606915Z return mod(*inputs) 2025-08-14T22:07:30.4607224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4607581Z x = self.forward_features(x) 2025-08-14T22:07:30.4607944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4608323Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4608659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4609006Z x = block(x) 2025-08-14T22:07:30.4609295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4609690Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4610040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4610364Z x = self.fc1(x) 2025-08-14T22:07:30.4610482Z 2025-08-14T22:07:30.4610596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4610962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4611299Z return mod(*inputs) 2025-08-14T22:07:30.4611601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4611928Z x = self.forward_features(x) 2025-08-14T22:07:30.4612297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4612660Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4613001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4613333Z x = block(x) 2025-08-14T22:07:30.4613623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4613979Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4614327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4614658Z x = self.act(x) 2025-08-14T22:07:30.4614763Z 2025-08-14T22:07:30.4614872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4615260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4615601Z return mod(*inputs) 2025-08-14T22:07:30.4615923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4616293Z x = self.forward_features(x) 2025-08-14T22:07:30.4616632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4616989Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4617332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4617695Z x = block(x) 2025-08-14T22:07:30.4617989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4618353Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4618704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4619024Z x = self.fc2(x) 2025-08-14T22:07:30.4619131Z 2025-08-14T22:07:30.4619242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4619629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4620005Z return mod(*inputs) 2025-08-14T22:07:30.4620671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4621029Z x = self.forward_features(x) 2025-08-14T22:07:30.4621396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4621770Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4622116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4622457Z x = block(x) 2025-08-14T22:07:30.4622735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4623064Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4623408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T22:07:30.4623794Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T22:07:30.4623970Z 2025-08-14T22:07:30.4624055Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4624308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4624707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4625054Z return mod(*inputs) 2025-08-14T22:07:30.4625359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4625699Z x = self.forward_features(x) 2025-08-14T22:07:30.4626057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4626423Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4626796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4627143Z x = block(x) 2025-08-14T22:07:30.4627440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4627788Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4628142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T22:07:30.4628480Z attn = self.attn(attn).reshape( 2025-08-14T22:07:30.4628616Z 2025-08-14T22:07:30.4628724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4629100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4629443Z return mod(*inputs) 2025-08-14T22:07:30.4629746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4630290Z x = self.forward_features(x) 2025-08-14T22:07:30.4630649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4631101Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4631437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4631782Z x = block(x) 2025-08-14T22:07:30.4632080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4632435Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4632776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T22:07:30.4633132Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T22:07:30.4633287Z 2025-08-14T22:07:30.4633404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4633775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4634118Z return mod(*inputs) 2025-08-14T22:07:30.4634428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4634797Z x = self.forward_features(x) 2025-08-14T22:07:30.4635141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4635503Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4635843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4636181Z x = block(x) 2025-08-14T22:07:30.4636477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4636833Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4637181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4637594Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4637822Z 2025-08-14T22:07:30.4637932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4638310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4638649Z return mod(*inputs) 2025-08-14T22:07:30.4638972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4639314Z x = self.forward_features(x) 2025-08-14T22:07:30.4639667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4640023Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4640367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4640718Z x = block(x) 2025-08-14T22:07:30.4641026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4641382Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4641734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4642149Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4642365Z 2025-08-14T22:07:30.4642476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4642865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4643206Z return mod(*inputs) 2025-08-14T22:07:30.4643510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4643838Z x = self.forward_features(x) 2025-08-14T22:07:30.4644187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4644554Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4644915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4645262Z x = block(x) 2025-08-14T22:07:30.4645556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4645910Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4646255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4646669Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4646882Z 2025-08-14T22:07:30.4646978Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4647194Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4647442Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4647817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4648157Z return mod(*inputs) 2025-08-14T22:07:30.4648480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4648811Z x = self.forward_features(x) 2025-08-14T22:07:30.4649156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4649509Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4649877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4650226Z x = block(x) 2025-08-14T22:07:30.4650515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4650859Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4651210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4651556Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4651698Z 2025-08-14T22:07:30.4651811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4652180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4652516Z return mod(*inputs) 2025-08-14T22:07:30.4652844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4653182Z x = self.forward_features(x) 2025-08-14T22:07:30.4653526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4653888Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4654229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4654569Z x = block(x) 2025-08-14T22:07:30.4654881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4655232Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4655575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4655914Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4656058Z 2025-08-14T22:07:30.4656167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4656552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4656893Z return mod(*inputs) 2025-08-14T22:07:30.4657209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4657564Z x = self.forward_features(x) 2025-08-14T22:07:30.4657918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4658290Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4658675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4659035Z x = block(x) 2025-08-14T22:07:30.4659328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4659703Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4660144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4660489Z x = self.fc1(x) 2025-08-14T22:07:30.4660606Z 2025-08-14T22:07:30.4660721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4661110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4661462Z return mod(*inputs) 2025-08-14T22:07:30.4661773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4662137Z x = self.forward_features(x) 2025-08-14T22:07:30.4662506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4662911Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4663252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4663601Z x = block(x) 2025-08-14T22:07:30.4663899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4664255Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4664611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4664944Z x = self.act(x) 2025-08-14T22:07:30.4665044Z 2025-08-14T22:07:30.4665159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4665539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4665885Z return mod(*inputs) 2025-08-14T22:07:30.4666200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4666536Z x = self.forward_features(x) 2025-08-14T22:07:30.4666898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4667295Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4667635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4667989Z x = block(x) 2025-08-14T22:07:30.4668288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4668654Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4669024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4669360Z x = self.fc2(x) 2025-08-14T22:07:30.4669456Z 2025-08-14T22:07:30.4669572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4669940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4670279Z return mod(*inputs) 2025-08-14T22:07:30.4670581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4670911Z x = self.forward_features(x) 2025-08-14T22:07:30.4671240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4671581Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4671904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4672247Z x = block(x) 2025-08-14T22:07:30.4672539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4672897Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4673287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T22:07:30.4673674Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T22:07:30.4673853Z 2025-08-14T22:07:30.4673937Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4674179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4674528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4674853Z return mod(*inputs) 2025-08-14T22:07:30.4675148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4675469Z x = self.forward_features(x) 2025-08-14T22:07:30.4675814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4676185Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4676529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4676872Z x = block(x) 2025-08-14T22:07:30.4677151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4677491Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4677840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T22:07:30.4678171Z attn = self.attn(attn).reshape( 2025-08-14T22:07:30.4678313Z 2025-08-14T22:07:30.4678419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4678792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4679124Z return mod(*inputs) 2025-08-14T22:07:30.4679429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4679770Z x = self.forward_features(x) 2025-08-14T22:07:30.4680107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4680465Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4680809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4681172Z x = block(x) 2025-08-14T22:07:30.4681457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4681814Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4682166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T22:07:30.4682499Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T22:07:30.4682641Z 2025-08-14T22:07:30.4682768Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4683137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4683461Z return mod(*inputs) 2025-08-14T22:07:30.4683742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4684075Z x = self.forward_features(x) 2025-08-14T22:07:30.4684431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4684788Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4685133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4685480Z x = block(x) 2025-08-14T22:07:30.4685777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4686103Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4686447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4686881Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4687096Z 2025-08-14T22:07:30.4687207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4687573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4687911Z return mod(*inputs) 2025-08-14T22:07:30.4688214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4688542Z x = self.forward_features(x) 2025-08-14T22:07:30.4688892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4689259Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4689599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4689933Z x = block(x) 2025-08-14T22:07:30.4690226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4690599Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4690939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4691355Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4691578Z 2025-08-14T22:07:30.4691684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4692061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4692396Z return mod(*inputs) 2025-08-14T22:07:30.4692700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4693040Z x = self.forward_features(x) 2025-08-14T22:07:30.4693386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4693756Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4694099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4694448Z x = block(x) 2025-08-14T22:07:30.4694762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4695131Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4695492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T22:07:30.4695912Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T22:07:30.4696144Z 2025-08-14T22:07:30.4696230Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4696487Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4696742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4697121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4697478Z return mod(*inputs) 2025-08-14T22:07:30.4697793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4698129Z x = self.forward_features(x) 2025-08-14T22:07:30.4698493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4698863Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4699213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4699559Z x = block(x) 2025-08-14T22:07:30.4699856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4700326Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4700719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4701073Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4701227Z 2025-08-14T22:07:30.4701338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4701733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4702067Z return mod(*inputs) 2025-08-14T22:07:30.4702378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4702710Z x = self.forward_features(x) 2025-08-14T22:07:30.4703064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4703439Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4703792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4704146Z x = block(x) 2025-08-14T22:07:30.4704436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T22:07:30.4704832Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4705196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T22:07:30.4705542Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T22:07:30.4705695Z 2025-08-14T22:07:30.4705803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4706193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4706547Z return mod(*inputs) 2025-08-14T22:07:30.4706852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4707199Z x = self.forward_features(x) 2025-08-14T22:07:30.4707564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4707936Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4708293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4708651Z x = block(x) 2025-08-14T22:07:30.4708949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4709332Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4709691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4710023Z x = self.fc1(x) 2025-08-14T22:07:30.4710123Z 2025-08-14T22:07:30.4710231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4710618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4710963Z return mod(*inputs) 2025-08-14T22:07:30.4711338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4711678Z x = self.forward_features(x) 2025-08-14T22:07:30.4712042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4712403Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4712737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4713078Z x = block(x) 2025-08-14T22:07:30.4713368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4713727Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4714069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4714391Z x = self.act(x) 2025-08-14T22:07:30.4714489Z 2025-08-14T22:07:30.4714608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4714999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4715341Z return mod(*inputs) 2025-08-14T22:07:30.4715638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4715982Z x = self.forward_features(x) 2025-08-14T22:07:30.4716324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4716685Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4717023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4717359Z x = block(x) 2025-08-14T22:07:30.4717647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4717997Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4718353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4718694Z x = self.fc2(x) 2025-08-14T22:07:30.4718801Z 2025-08-14T22:07:30.4718911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4719297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4719641Z return mod(*inputs) 2025-08-14T22:07:30.4719943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4720277Z x = self.forward_features(x) 2025-08-14T22:07:30.4720626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4720978Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4721318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4721665Z x = block(x) 2025-08-14T22:07:30.4721944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T22:07:30.4722296Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4722450Z 2025-08-14T22:07:30.4722556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4722927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4723272Z return mod(*inputs) 2025-08-14T22:07:30.4723579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4723913Z x = self.forward_features(x) 2025-08-14T22:07:30.4724255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4724623Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4724975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4725309Z x = block(x) 2025-08-14T22:07:30.4725590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T22:07:30.4725926Z x = self.proj(x) # B, C, H, W 2025-08-14T22:07:30.4726054Z 2025-08-14T22:07:30.4726168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4726534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4726874Z return mod(*inputs) 2025-08-14T22:07:30.4727181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4727511Z x = self.forward_features(x) 2025-08-14T22:07:30.4727851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4728214Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4728557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4728912Z x = block(x) 2025-08-14T22:07:30.4729204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4729562Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4729910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4730550Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4730798Z 2025-08-14T22:07:30.4730899Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4731155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4731534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4731881Z return mod(*inputs) 2025-08-14T22:07:30.4732201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4732526Z x = self.forward_features(x) 2025-08-14T22:07:30.4732921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4733271Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4733621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4733968Z x = block(x) 2025-08-14T22:07:30.4734265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4734625Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4734982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4735325Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4735480Z 2025-08-14T22:07:30.4735593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4735977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4736323Z return mod(*inputs) 2025-08-14T22:07:30.4736631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4736972Z x = self.forward_features(x) 2025-08-14T22:07:30.4737358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4737715Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4738081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4738469Z x = block(x) 2025-08-14T22:07:30.4738753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4739106Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4739478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4739802Z x = self.proj(x) 2025-08-14T22:07:30.4739907Z 2025-08-14T22:07:30.4740013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4740450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4740789Z return mod(*inputs) 2025-08-14T22:07:30.4741089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4741424Z x = self.forward_features(x) 2025-08-14T22:07:30.4741774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4742115Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4742452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4742795Z x = block(x) 2025-08-14T22:07:30.4743089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4743470Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4743818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4744139Z x = self.fc1(x) 2025-08-14T22:07:30.4744238Z 2025-08-14T22:07:30.4744351Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4744721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4745058Z return mod(*inputs) 2025-08-14T22:07:30.4745361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4745682Z x = self.forward_features(x) 2025-08-14T22:07:30.4746038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4746401Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4746741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4747101Z x = block(x) 2025-08-14T22:07:30.4747389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4747743Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4748080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4748403Z x = self.act(x) 2025-08-14T22:07:30.4748505Z 2025-08-14T22:07:30.4748611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4748989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4749320Z return mod(*inputs) 2025-08-14T22:07:30.4749624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4749955Z x = self.forward_features(x) 2025-08-14T22:07:30.4750300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4750661Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4751002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4751346Z x = block(x) 2025-08-14T22:07:30.4751648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4752004Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4752350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4752666Z x = self.fc2(x) 2025-08-14T22:07:30.4752770Z 2025-08-14T22:07:30.4752877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4753278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4753614Z return mod(*inputs) 2025-08-14T22:07:30.4753911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4754226Z x = self.forward_features(x) 2025-08-14T22:07:30.4754569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4754924Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4755264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4755605Z x = block(x) 2025-08-14T22:07:30.4755894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4756238Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4756589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4756992Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4757223Z 2025-08-14T22:07:30.4757310Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4757542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4757918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4758266Z return mod(*inputs) 2025-08-14T22:07:30.4758564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4758899Z x = self.forward_features(x) 2025-08-14T22:07:30.4759253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4759607Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4759949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4760289Z x = block(x) 2025-08-14T22:07:30.4760580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4760961Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4761293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4761615Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4761749Z 2025-08-14T22:07:30.4761859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4762210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4762531Z return mod(*inputs) 2025-08-14T22:07:30.4762818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4763141Z x = self.forward_features(x) 2025-08-14T22:07:30.4763493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4763858Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4764192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4764534Z x = block(x) 2025-08-14T22:07:30.4764823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4765193Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4765531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4765854Z x = self.proj(x) 2025-08-14T22:07:30.4765958Z 2025-08-14T22:07:30.4766072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4766443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4766773Z return mod(*inputs) 2025-08-14T22:07:30.4767096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4767433Z x = self.forward_features(x) 2025-08-14T22:07:30.4767775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4768134Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4768474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4768805Z x = block(x) 2025-08-14T22:07:30.4769095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4769442Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4769593Z 2025-08-14T22:07:30.4769704Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4770063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4770401Z return mod(*inputs) 2025-08-14T22:07:30.4770720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4771055Z x = self.forward_features(x) 2025-08-14T22:07:30.4771398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4771762Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4772104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4772437Z x = block(x) 2025-08-14T22:07:30.4772724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4773077Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4773415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4773735Z x = self.fc1(x) 2025-08-14T22:07:30.4773839Z 2025-08-14T22:07:30.4773945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4774319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4774668Z return mod(*inputs) 2025-08-14T22:07:30.4774972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4775308Z x = self.forward_features(x) 2025-08-14T22:07:30.4775650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4776017Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4776371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4776735Z x = block(x) 2025-08-14T22:07:30.4777036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4777418Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4777776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4778096Z x = self.act(x) 2025-08-14T22:07:30.4778204Z 2025-08-14T22:07:30.4778313Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4778706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4779088Z return mod(*inputs) 2025-08-14T22:07:30.4779387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4779722Z x = self.forward_features(x) 2025-08-14T22:07:30.4780159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4780548Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4780929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4781293Z x = block(x) 2025-08-14T22:07:30.4781607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4781958Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4782307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4782635Z x = self.fc2(x) 2025-08-14T22:07:30.4782732Z 2025-08-14T22:07:30.4782841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4783222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4783564Z return mod(*inputs) 2025-08-14T22:07:30.4783866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4784195Z x = self.forward_features(x) 2025-08-14T22:07:30.4784548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4784930Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4785260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4785600Z x = block(x) 2025-08-14T22:07:30.4785887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4786237Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4786579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4787002Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4787226Z 2025-08-14T22:07:30.4787318Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4787567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4787934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4788275Z return mod(*inputs) 2025-08-14T22:07:30.4788601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4788937Z x = self.forward_features(x) 2025-08-14T22:07:30.4789295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4789665Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4790014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4790361Z x = block(x) 2025-08-14T22:07:30.4790657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4790758Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4790960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4791045Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4791051Z 2025-08-14T22:07:30.4791164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4791379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4791452Z return mod(*inputs) 2025-08-14T22:07:30.4791672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4791747Z x = self.forward_features(x) 2025-08-14T22:07:30.4791969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4792049Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4792264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4792325Z x = block(x) 2025-08-14T22:07:30.4792540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4792637Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4792832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4792899Z x = self.proj(x) 2025-08-14T22:07:30.4792903Z 2025-08-14T22:07:30.4793007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4793222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4793290Z return mod(*inputs) 2025-08-14T22:07:30.4793482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4793563Z x = self.forward_features(x) 2025-08-14T22:07:30.4793785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4793863Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4794078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4794159Z x = block(x) 2025-08-14T22:07:30.4794359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4794454Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4794645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4794716Z x = self.fc1(x) 2025-08-14T22:07:30.4794720Z 2025-08-14T22:07:30.4794826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4795042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4795108Z return mod(*inputs) 2025-08-14T22:07:30.4795296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4795380Z x = self.forward_features(x) 2025-08-14T22:07:30.4795602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4795699Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4795916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4795978Z x = block(x) 2025-08-14T22:07:30.4796175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4796279Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4796456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4796526Z x = self.act(x) 2025-08-14T22:07:30.4796529Z 2025-08-14T22:07:30.4796628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4796833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4796896Z return mod(*inputs) 2025-08-14T22:07:30.4797078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4797156Z x = self.forward_features(x) 2025-08-14T22:07:30.4797363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4797429Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4797665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4797727Z x = block(x) 2025-08-14T22:07:30.4797928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4798020Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4798211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4798306Z x = self.fc2(x) 2025-08-14T22:07:30.4798310Z 2025-08-14T22:07:30.4798418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4798626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4798701Z return mod(*inputs) 2025-08-14T22:07:30.4798890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4798969Z x = self.forward_features(x) 2025-08-14T22:07:30.4799191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4799263Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4799483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4799544Z x = block(x) 2025-08-14T22:07:30.4799735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4799839Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4800057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4800221Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4800224Z 2025-08-14T22:07:30.4800304Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4800403Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4800608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4800670Z return mod(*inputs) 2025-08-14T22:07:30.4800861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4800941Z x = self.forward_features(x) 2025-08-14T22:07:30.4801163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4801242Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4801460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4801537Z x = block(x) 2025-08-14T22:07:30.4801736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4801827Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4802022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4802112Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4802115Z 2025-08-14T22:07:30.4802219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4802436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4802503Z return mod(*inputs) 2025-08-14T22:07:30.4802695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4802776Z x = self.forward_features(x) 2025-08-14T22:07:30.4802999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4803079Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4803296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4803407Z x = block(x) 2025-08-14T22:07:30.4803606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4803696Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4803887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4803963Z x = self.proj(x) 2025-08-14T22:07:30.4803967Z 2025-08-14T22:07:30.4804070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4804304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4804374Z return mod(*inputs) 2025-08-14T22:07:30.4804566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4804647Z x = self.forward_features(x) 2025-08-14T22:07:30.4804878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4804951Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4805190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4805251Z x = block(x) 2025-08-14T22:07:30.4805463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4805556Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4805559Z 2025-08-14T22:07:30.4805665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4805899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4805971Z return mod(*inputs) 2025-08-14T22:07:30.4806177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4806269Z x = self.forward_features(x) 2025-08-14T22:07:30.4806497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4806578Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4806806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4806867Z x = block(x) 2025-08-14T22:07:30.4807070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4807166Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4807364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4807467Z x = self.fc1(x) 2025-08-14T22:07:30.4807471Z 2025-08-14T22:07:30.4807579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4807799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4807868Z return mod(*inputs) 2025-08-14T22:07:30.4808063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4808147Z x = self.forward_features(x) 2025-08-14T22:07:30.4808374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4808446Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4808673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4808738Z x = block(x) 2025-08-14T22:07:30.4808946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4809041Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4809229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4809301Z x = self.act(x) 2025-08-14T22:07:30.4809305Z 2025-08-14T22:07:30.4809429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4809642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4809709Z return mod(*inputs) 2025-08-14T22:07:30.4809899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4809977Z x = self.forward_features(x) 2025-08-14T22:07:30.4810197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4810286Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4810508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4810571Z x = block(x) 2025-08-14T22:07:30.4810767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4810857Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4811046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4811118Z x = self.fc2(x) 2025-08-14T22:07:30.4811121Z 2025-08-14T22:07:30.4811224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4811430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4811505Z return mod(*inputs) 2025-08-14T22:07:30.4811694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4811794Z x = self.forward_features(x) 2025-08-14T22:07:30.4812014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4812086Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4812304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4812365Z x = block(x) 2025-08-14T22:07:30.4812554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4812658Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4812846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4813017Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4813021Z 2025-08-14T22:07:30.4813107Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4813214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4813442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4813509Z return mod(*inputs) 2025-08-14T22:07:30.4813698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4813776Z x = self.forward_features(x) 2025-08-14T22:07:30.4813998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4814078Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4814293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4814353Z x = block(x) 2025-08-14T22:07:30.4814554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4814651Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4814846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4814939Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4814943Z 2025-08-14T22:07:30.4815050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4815286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4815358Z return mod(*inputs) 2025-08-14T22:07:30.4815554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4815638Z x = self.forward_features(x) 2025-08-14T22:07:30.4815863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4815945Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4816183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4816250Z x = block(x) 2025-08-14T22:07:30.4816451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4816548Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4816743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4816822Z x = self.proj(x) 2025-08-14T22:07:30.4816825Z 2025-08-14T22:07:30.4816935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4817155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4817225Z return mod(*inputs) 2025-08-14T22:07:30.4817420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4817501Z x = self.forward_features(x) 2025-08-14T22:07:30.4817728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4817823Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4818055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4818118Z x = block(x) 2025-08-14T22:07:30.4818332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4818428Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4818623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4818696Z x = self.fc1(x) 2025-08-14T22:07:30.4818700Z 2025-08-14T22:07:30.4818806Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4819024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4819104Z return mod(*inputs) 2025-08-14T22:07:30.4819301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4819402Z x = self.forward_features(x) 2025-08-14T22:07:30.4819634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4819708Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4819943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4820006Z x = block(x) 2025-08-14T22:07:30.4820290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4820406Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4820602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4820677Z x = self.act(x) 2025-08-14T22:07:30.4820681Z 2025-08-14T22:07:30.4820792Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4821005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4821084Z return mod(*inputs) 2025-08-14T22:07:30.4821288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4821361Z x = self.forward_features(x) 2025-08-14T22:07:30.4821613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4821687Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4821911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4821973Z x = block(x) 2025-08-14T22:07:30.4822168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4822285Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4822478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4822548Z x = self.fc2(x) 2025-08-14T22:07:30.4822562Z 2025-08-14T22:07:30.4822666Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4822873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4822947Z return mod(*inputs) 2025-08-14T22:07:30.4823139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4823211Z x = self.forward_features(x) 2025-08-14T22:07:30.4823441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4823512Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4823725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4823796Z x = block(x) 2025-08-14T22:07:30.4823986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4824108Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4824300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4824464Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4824468Z 2025-08-14T22:07:30.4824559Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4824663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4824878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4824945Z return mod(*inputs) 2025-08-14T22:07:30.4825135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4825215Z x = self.forward_features(x) 2025-08-14T22:07:30.4825436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4825530Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4825756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4825818Z x = block(x) 2025-08-14T22:07:30.4826015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4826107Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4826297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4826384Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4826388Z 2025-08-14T22:07:30.4826491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4826697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4826771Z return mod(*inputs) 2025-08-14T22:07:30.4826962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4827042Z x = self.forward_features(x) 2025-08-14T22:07:30.4827262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4827348Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4827569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4827630Z x = block(x) 2025-08-14T22:07:30.4827820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4827920Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4828108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4828196Z x = self.proj(x) 2025-08-14T22:07:30.4828201Z 2025-08-14T22:07:30.4828307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4828513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4828588Z return mod(*inputs) 2025-08-14T22:07:30.4828778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4828852Z x = self.forward_features(x) 2025-08-14T22:07:30.4829079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4829152Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4829372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4829433Z x = block(x) 2025-08-14T22:07:30.4829623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4829723Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4829752Z 2025-08-14T22:07:30.4829859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4830241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4830315Z return mod(*inputs) 2025-08-14T22:07:30.4830512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4830594Z x = self.forward_features(x) 2025-08-14T22:07:30.4830815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4830889Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4831111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4831174Z x = block(x) 2025-08-14T22:07:30.4831377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4831472Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4831714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4831787Z x = self.fc1(x) 2025-08-14T22:07:30.4831791Z 2025-08-14T22:07:30.4831894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4832099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4832174Z return mod(*inputs) 2025-08-14T22:07:30.4832363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4832443Z x = self.forward_features(x) 2025-08-14T22:07:30.4832663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4832736Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4832957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4833021Z x = block(x) 2025-08-14T22:07:30.4833211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4833312Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4833529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4833605Z x = self.act(x) 2025-08-14T22:07:30.4833609Z 2025-08-14T22:07:30.4833716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4833922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4833996Z return mod(*inputs) 2025-08-14T22:07:30.4834190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4834289Z x = self.forward_features(x) 2025-08-14T22:07:30.4834520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4834594Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4834815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4834876Z x = block(x) 2025-08-14T22:07:30.4835065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4835164Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4835349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4835413Z x = self.fc2(x) 2025-08-14T22:07:30.4835417Z 2025-08-14T22:07:30.4835529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4835734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4835844Z return mod(*inputs) 2025-08-14T22:07:30.4836036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4836109Z x = self.forward_features(x) 2025-08-14T22:07:30.4836338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4836409Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4836627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4836698Z x = block(x) 2025-08-14T22:07:30.4836888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4836988Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4837178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4837343Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4837371Z 2025-08-14T22:07:30.4837464Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4837568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4837783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4837853Z return mod(*inputs) 2025-08-14T22:07:30.4838052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4838134Z x = self.forward_features(x) 2025-08-14T22:07:30.4838361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4838435Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4838665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4838729Z x = block(x) 2025-08-14T22:07:30.4838943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4839039Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4839230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4839318Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4839322Z 2025-08-14T22:07:30.4839445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4839651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4839725Z return mod(*inputs) 2025-08-14T22:07:30.4839916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4839993Z x = self.forward_features(x) 2025-08-14T22:07:30.4840243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4840320Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4840548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4840613Z x = block(x) 2025-08-14T22:07:30.4840809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4840913Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4841107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4841184Z x = self.proj(x) 2025-08-14T22:07:30.4841188Z 2025-08-14T22:07:30.4841295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4841517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4841594Z return mod(*inputs) 2025-08-14T22:07:30.4841802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4841898Z x = self.forward_features(x) 2025-08-14T22:07:30.4842141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4842215Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4842443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4842507Z x = block(x) 2025-08-14T22:07:30.4842704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4842806Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4843002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4843069Z x = self.fc1(x) 2025-08-14T22:07:30.4843072Z 2025-08-14T22:07:30.4843189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4843401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4843497Z return mod(*inputs) 2025-08-14T22:07:30.4843705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4843780Z x = self.forward_features(x) 2025-08-14T22:07:30.4844015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4844089Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4844321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4844394Z x = block(x) 2025-08-14T22:07:30.4844597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4844698Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4844893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4844961Z x = self.act(x) 2025-08-14T22:07:30.4844966Z 2025-08-14T22:07:30.4845084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4845299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4845369Z return mod(*inputs) 2025-08-14T22:07:30.4845599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4845675Z x = self.forward_features(x) 2025-08-14T22:07:30.4845912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4845985Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4846219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4846290Z x = block(x) 2025-08-14T22:07:30.4846511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4846609Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4846814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4846879Z x = self.fc2(x) 2025-08-14T22:07:30.4846882Z 2025-08-14T22:07:30.4846996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4847211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4847281Z return mod(*inputs) 2025-08-14T22:07:30.4847485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4847560Z x = self.forward_features(x) 2025-08-14T22:07:30.4847792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4847867Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4848086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4848177Z x = block(x) 2025-08-14T22:07:30.4848421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4848519Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4848724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4848889Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4848893Z 2025-08-14T22:07:30.4848987Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4849095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4849310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4849390Z return mod(*inputs) 2025-08-14T22:07:30.4849587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4849683Z x = self.forward_features(x) 2025-08-14T22:07:30.4849920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4849994Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4850223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4850286Z x = block(x) 2025-08-14T22:07:30.4850480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4850583Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4850788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4850868Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4850881Z 2025-08-14T22:07:30.4850987Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4851193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4851270Z return mod(*inputs) 2025-08-14T22:07:30.4851460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4851530Z x = self.forward_features(x) 2025-08-14T22:07:30.4851809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4851882Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4852095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4852162Z x = block(x) 2025-08-14T22:07:30.4852350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4852475Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4852665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4852732Z x = self.proj(x) 2025-08-14T22:07:30.4852736Z 2025-08-14T22:07:30.4852845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4853050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4853124Z return mod(*inputs) 2025-08-14T22:07:30.4853311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4853381Z x = self.forward_features(x) 2025-08-14T22:07:30.4853604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4853674Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4853890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4853958Z x = block(x) 2025-08-14T22:07:30.4854166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4854268Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4854272Z 2025-08-14T22:07:30.4854375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4854582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4854656Z return mod(*inputs) 2025-08-14T22:07:30.4854846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4854917Z x = self.forward_features(x) 2025-08-14T22:07:30.4855146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4855219Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4855451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4855516Z x = block(x) 2025-08-14T22:07:30.4855732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4855834Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4856029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4856097Z x = self.fc1(x) 2025-08-14T22:07:30.4856101Z 2025-08-14T22:07:30.4856219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4856430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4856507Z return mod(*inputs) 2025-08-14T22:07:30.4856704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4856777Z x = self.forward_features(x) 2025-08-14T22:07:30.4857012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4857090Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4857317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4857388Z x = block(x) 2025-08-14T22:07:30.4857597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4857701Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4857892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4857957Z x = self.act(x) 2025-08-14T22:07:30.4857961Z 2025-08-14T22:07:30.4858074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4858282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4858365Z return mod(*inputs) 2025-08-14T22:07:30.4858569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4858646Z x = self.forward_features(x) 2025-08-14T22:07:30.4858882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4858955Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4859177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4859247Z x = block(x) 2025-08-14T22:07:30.4859444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4859539Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4859747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4859811Z x = self.fc2(x) 2025-08-14T22:07:30.4859817Z 2025-08-14T22:07:30.4859932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4861156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4861242Z return mod(*inputs) 2025-08-14T22:07:30.4861447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4861523Z x = self.forward_features(x) 2025-08-14T22:07:30.4861754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4861827Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4862044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4862114Z x = block(x) 2025-08-14T22:07:30.4862307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4862406Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4862609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4862794Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4862798Z 2025-08-14T22:07:30.4862888Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4862993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4863201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4863276Z return mod(*inputs) 2025-08-14T22:07:30.4863466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4863538Z x = self.forward_features(x) 2025-08-14T22:07:30.4863764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4863838Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4864058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4864120Z x = block(x) 2025-08-14T22:07:30.4864307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4864406Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4864609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4864692Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4864703Z 2025-08-14T22:07:30.4864809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4865015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4865088Z return mod(*inputs) 2025-08-14T22:07:30.4865297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4865370Z x = self.forward_features(x) 2025-08-14T22:07:30.4865600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4865672Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4865888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4865956Z x = block(x) 2025-08-14T22:07:30.4866154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4866252Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4866445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4866509Z x = self.proj(x) 2025-08-14T22:07:30.4866513Z 2025-08-14T22:07:30.4866624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4866831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4866922Z return mod(*inputs) 2025-08-14T22:07:30.4867113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4867184Z x = self.forward_features(x) 2025-08-14T22:07:30.4867408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4867479Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4867690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4867758Z x = block(x) 2025-08-14T22:07:30.4867948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4868047Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4868236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4868299Z x = self.fc1(x) 2025-08-14T22:07:30.4868304Z 2025-08-14T22:07:30.4868416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4868641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4868707Z return mod(*inputs) 2025-08-14T22:07:30.4868910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4868981Z x = self.forward_features(x) 2025-08-14T22:07:30.4869209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4869279Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4869493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4869561Z x = block(x) 2025-08-14T22:07:30.4869756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4869849Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4870050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4870114Z x = self.act(x) 2025-08-14T22:07:30.4870117Z 2025-08-14T22:07:30.4870230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4870452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4870520Z return mod(*inputs) 2025-08-14T22:07:30.4870715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4870788Z x = self.forward_features(x) 2025-08-14T22:07:30.4871007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4871085Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4871313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4871386Z x = block(x) 2025-08-14T22:07:30.4871578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4871671Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4871869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4871932Z x = self.fc2(x) 2025-08-14T22:07:30.4871936Z 2025-08-14T22:07:30.4872041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4872257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4872323Z return mod(*inputs) 2025-08-14T22:07:30.4872523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4872596Z x = self.forward_features(x) 2025-08-14T22:07:30.4872819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4872921Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4873145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4873208Z x = block(x) 2025-08-14T22:07:30.4873414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4873510Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4873725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4873887Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4873891Z 2025-08-14T22:07:30.4873973Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4874087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4874293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4874391Z return mod(*inputs) 2025-08-14T22:07:30.4874581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4874654Z x = self.forward_features(x) 2025-08-14T22:07:30.4874881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4874953Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4875172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4875242Z x = block(x) 2025-08-14T22:07:30.4875438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4875541Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4875737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4875821Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4875827Z 2025-08-14T22:07:30.4875943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4876153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4876221Z return mod(*inputs) 2025-08-14T22:07:30.4876459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4876535Z x = self.forward_features(x) 2025-08-14T22:07:30.4876771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4876843Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4877066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4877153Z x = block(x) 2025-08-14T22:07:30.4877349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4877447Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4877652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4877718Z x = self.proj(x) 2025-08-14T22:07:30.4877722Z 2025-08-14T22:07:30.4877838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4878048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4878118Z return mod(*inputs) 2025-08-14T22:07:30.4878320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4878393Z x = self.forward_features(x) 2025-08-14T22:07:30.4878619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4878701Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4878943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4879014Z x = block(x) 2025-08-14T22:07:30.4879209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4879304Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4879309Z 2025-08-14T22:07:30.4879424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4879634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4879704Z return mod(*inputs) 2025-08-14T22:07:30.4879905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4879978Z x = self.forward_features(x) 2025-08-14T22:07:30.4880212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4880287Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4880524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4880595Z x = block(x) 2025-08-14T22:07:30.4880795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4880891Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4881091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4881157Z x = self.fc1(x) 2025-08-14T22:07:30.4881161Z 2025-08-14T22:07:30.4881277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4881493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4881561Z return mod(*inputs) 2025-08-14T22:07:30.4881764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4881837Z x = self.forward_features(x) 2025-08-14T22:07:30.4882072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4882145Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4882389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4882461Z x = block(x) 2025-08-14T22:07:30.4882659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4882754Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4882958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4883024Z x = self.act(x) 2025-08-14T22:07:30.4883027Z 2025-08-14T22:07:30.4883160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4883377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4883450Z return mod(*inputs) 2025-08-14T22:07:30.4883653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4883728Z x = self.forward_features(x) 2025-08-14T22:07:30.4883956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4884039Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4884259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4884329Z x = block(x) 2025-08-14T22:07:30.4884530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4884624Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4884826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4884916Z x = self.fc2(x) 2025-08-14T22:07:30.4884921Z 2025-08-14T22:07:30.4885031Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4885257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4885327Z return mod(*inputs) 2025-08-14T22:07:30.4885534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4885607Z x = self.forward_features(x) 2025-08-14T22:07:30.4885838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4885918Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4886150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4886215Z x = block(x) 2025-08-14T22:07:30.4886434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4886549Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4886752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4886918Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4886923Z 2025-08-14T22:07:30.4887009Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4887126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4887345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4887414Z return mod(*inputs) 2025-08-14T22:07:30.4887626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4887701Z x = self.forward_features(x) 2025-08-14T22:07:30.4887933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4888009Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4888236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4888305Z x = block(x) 2025-08-14T22:07:30.4888524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4888620Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4888833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4888914Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4888918Z 2025-08-14T22:07:30.4889034Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4889263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4889336Z return mod(*inputs) 2025-08-14T22:07:30.4889543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4889619Z x = self.forward_features(x) 2025-08-14T22:07:30.4889852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4889925Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4890154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4890223Z x = block(x) 2025-08-14T22:07:30.4890434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4890530Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4890734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4890803Z x = self.proj(x) 2025-08-14T22:07:30.4890806Z 2025-08-14T22:07:30.4890942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4891157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4891226Z return mod(*inputs) 2025-08-14T22:07:30.4891429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4891504Z x = self.forward_features(x) 2025-08-14T22:07:30.4891730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4891811Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4892038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4892107Z x = block(x) 2025-08-14T22:07:30.4892299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4892396Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4892599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4892682Z x = self.fc1(x) 2025-08-14T22:07:30.4892686Z 2025-08-14T22:07:30.4892794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4893027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4893094Z return mod(*inputs) 2025-08-14T22:07:30.4893289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4893360Z x = self.forward_features(x) 2025-08-14T22:07:30.4893579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4893656Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4893879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4893942Z x = block(x) 2025-08-14T22:07:30.4894147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4894243Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4894443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4894508Z x = self.act(x) 2025-08-14T22:07:30.4894530Z 2025-08-14T22:07:30.4894640Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4894858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4894926Z return mod(*inputs) 2025-08-14T22:07:30.4895122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4895204Z x = self.forward_features(x) 2025-08-14T22:07:30.4895448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4895531Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4895755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4895817Z x = block(x) 2025-08-14T22:07:30.4896018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4896114Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4896306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4896380Z x = self.fc2(x) 2025-08-14T22:07:30.4896383Z 2025-08-14T22:07:30.4896490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4896706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4896775Z return mod(*inputs) 2025-08-14T22:07:30.4896980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4897083Z x = self.forward_features(x) 2025-08-14T22:07:30.4897306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4897378Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4897605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4897667Z x = block(x) 2025-08-14T22:07:30.4897868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4897960Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4898156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4898335Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4898338Z 2025-08-14T22:07:30.4898427Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4898578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4898788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4898856Z return mod(*inputs) 2025-08-14T22:07:30.4899062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4899135Z x = self.forward_features(x) 2025-08-14T22:07:30.4899361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4899444Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4899664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4899735Z x = block(x) 2025-08-14T22:07:30.4899932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4900115Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4900334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4900419Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4900423Z 2025-08-14T22:07:30.4900535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4900784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4900857Z return mod(*inputs) 2025-08-14T22:07:30.4901065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4901150Z x = self.forward_features(x) 2025-08-14T22:07:30.4901374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4901471Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4901688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4901752Z x = block(x) 2025-08-14T22:07:30.4901951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4902043Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4902245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4902312Z x = self.proj(x) 2025-08-14T22:07:30.4902316Z 2025-08-14T22:07:30.4902420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4902639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4902707Z return mod(*inputs) 2025-08-14T22:07:30.4902896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4902979Z x = self.forward_features(x) 2025-08-14T22:07:30.4903216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4903298Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4903509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4903572Z x = block(x) 2025-08-14T22:07:30.4903772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4903863Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4903867Z 2025-08-14T22:07:30.4903981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4904186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4904254Z return mod(*inputs) 2025-08-14T22:07:30.4904454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4904528Z x = self.forward_features(x) 2025-08-14T22:07:30.4904767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4904847Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4905061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4905129Z x = block(x) 2025-08-14T22:07:30.4905317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4905408Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4905603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4905666Z x = self.fc1(x) 2025-08-14T22:07:30.4905670Z 2025-08-14T22:07:30.4905775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4905993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4906063Z return mod(*inputs) 2025-08-14T22:07:30.4906258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4906331Z x = self.forward_features(x) 2025-08-14T22:07:30.4906551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4906646Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4906861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4906920Z x = block(x) 2025-08-14T22:07:30.4907115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4907205Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4907447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4907512Z x = self.act(x) 2025-08-14T22:07:30.4907515Z 2025-08-14T22:07:30.4907622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4907835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4907904Z return mod(*inputs) 2025-08-14T22:07:30.4908099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4908179Z x = self.forward_features(x) 2025-08-14T22:07:30.4908405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4908482Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4908701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4908760Z x = block(x) 2025-08-14T22:07:30.4908961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4909074Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4909262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4909334Z x = self.fc2(x) 2025-08-14T22:07:30.4909337Z 2025-08-14T22:07:30.4909443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4909657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4909725Z return mod(*inputs) 2025-08-14T22:07:30.4909916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4909997Z x = self.forward_features(x) 2025-08-14T22:07:30.4910216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4910289Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4910512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4910594Z x = block(x) 2025-08-14T22:07:30.4910793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4910886Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4911077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4911249Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4911253Z 2025-08-14T22:07:30.4911335Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4911450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4911655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4911722Z return mod(*inputs) 2025-08-14T22:07:30.4911925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4911998Z x = self.forward_features(x) 2025-08-14T22:07:30.4912219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4912301Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4912529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4912598Z x = block(x) 2025-08-14T22:07:30.4912789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4912882Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4913080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4913160Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4913165Z 2025-08-14T22:07:30.4913284Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4913503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4913573Z return mod(*inputs) 2025-08-14T22:07:30.4913778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4913850Z x = self.forward_features(x) 2025-08-14T22:07:30.4914074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4914152Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4914366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4914426Z x = block(x) 2025-08-14T22:07:30.4914626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4914719Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4914918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4915004Z x = self.proj(x) 2025-08-14T22:07:30.4915007Z 2025-08-14T22:07:30.4915111Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4915328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4915394Z return mod(*inputs) 2025-08-14T22:07:30.4915589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4915668Z x = self.forward_features(x) 2025-08-14T22:07:30.4915892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4915969Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4916186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4916250Z x = block(x) 2025-08-14T22:07:30.4916453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4916566Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4916754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4916826Z x = self.fc1(x) 2025-08-14T22:07:30.4916829Z 2025-08-14T22:07:30.4916939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4917153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4917225Z return mod(*inputs) 2025-08-14T22:07:30.4917415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4917497Z x = self.forward_features(x) 2025-08-14T22:07:30.4917722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4917799Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4918022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4918086Z x = block(x) 2025-08-14T22:07:30.4918288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4918405Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4918602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4918674Z x = self.act(x) 2025-08-14T22:07:30.4918677Z 2025-08-14T22:07:30.4918782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4919007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4919074Z return mod(*inputs) 2025-08-14T22:07:30.4919280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4919363Z x = self.forward_features(x) 2025-08-14T22:07:30.4919585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4919656Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4919874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4919934Z x = block(x) 2025-08-14T22:07:30.4920132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4920223Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4920411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4920480Z x = self.fc2(x) 2025-08-14T22:07:30.4920484Z 2025-08-14T22:07:30.4920589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4920804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4920901Z return mod(*inputs) 2025-08-14T22:07:30.4921082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4921156Z x = self.forward_features(x) 2025-08-14T22:07:30.4921366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4921434Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4921654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4921714Z x = block(x) 2025-08-14T22:07:30.4921904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4922005Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4922202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T22:07:30.4922365Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4922384Z 2025-08-14T22:07:30.4922462Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4922561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4922764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4922827Z return mod(*inputs) 2025-08-14T22:07:30.4923006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4923083Z x = self.forward_features(x) 2025-08-14T22:07:30.4923292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4923367Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4923569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4923628Z x = block(x) 2025-08-14T22:07:30.4923817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4923905Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4924081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T22:07:30.4924183Z x = F.scaled_dot_product_attention( 2025-08-14T22:07:30.4924187Z 2025-08-14T22:07:30.4924285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4924485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4924551Z return mod(*inputs) 2025-08-14T22:07:30.4924730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4924807Z x = self.forward_features(x) 2025-08-14T22:07:30.4925030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4925108Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4925315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4925372Z x = block(x) 2025-08-14T22:07:30.4925562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4925650Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4925827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T22:07:30.4925897Z x = self.proj(x) 2025-08-14T22:07:30.4925900Z 2025-08-14T22:07:30.4926000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4926202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4926269Z return mod(*inputs) 2025-08-14T22:07:30.4926470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4926552Z x = self.forward_features(x) 2025-08-14T22:07:30.4926772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4926841Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4927065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4927126Z x = block(x) 2025-08-14T22:07:30.4927321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T22:07:30.4927412Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4927416Z 2025-08-14T22:07:30.4927519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4927732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4927800Z return mod(*inputs) 2025-08-14T22:07:30.4927988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4928091Z x = self.forward_features(x) 2025-08-14T22:07:30.4928314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4928396Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4928613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4928673Z x = block(x) 2025-08-14T22:07:30.4928872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4928965Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4929155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4929230Z x = self.fc1(x) 2025-08-14T22:07:30.4929235Z 2025-08-14T22:07:30.4929342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4929557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4929625Z return mod(*inputs) 2025-08-14T22:07:30.4929816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4929913Z x = self.forward_features(x) 2025-08-14T22:07:30.4930313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4930387Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4930603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4930662Z x = block(x) 2025-08-14T22:07:30.4930903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4930993Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4931174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4931245Z x = self.act(x) 2025-08-14T22:07:30.4931248Z 2025-08-14T22:07:30.4931348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4931545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4931617Z return mod(*inputs) 2025-08-14T22:07:30.4931795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4931868Z x = self.forward_features(x) 2025-08-14T22:07:30.4932074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T22:07:30.4932141Z x = self.forward_tokens(x) 2025-08-14T22:07:30.4932351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T22:07:30.4932440Z x = block(x) 2025-08-14T22:07:30.4932620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T22:07:30.4932715Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T22:07:30.4932893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4932962Z x = self.fc2(x) 2025-08-14T22:07:30.4932966Z 2025-08-14T22:07:30.4933043Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4933143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4933343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4933406Z return mod(*inputs) 2025-08-14T22:07:30.4933586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4933662Z x = self.forward_features(x) 2025-08-14T22:07:30.4933873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4933987Z x = self.forward_cls(x) 2025-08-14T22:07:30.4934201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-14T22:07:30.4934285Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-14T22:07:30.4934289Z 2025-08-14T22:07:30.4934405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4934615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4934689Z return mod(*inputs) 2025-08-14T22:07:30.4934883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4934956Z x = self.forward_features(x) 2025-08-14T22:07:30.4935187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4935261Z x = self.forward_cls(x) 2025-08-14T22:07:30.4935471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4935542Z x = block(x) 2025-08-14T22:07:30.4935733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4935906Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4936099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T22:07:30.4936257Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4936261Z 2025-08-14T22:07:30.4936375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4936583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4936665Z return mod(*inputs) 2025-08-14T22:07:30.4936866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4936941Z x = self.forward_features(x) 2025-08-14T22:07:30.4937169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4937241Z x = self.forward_cls(x) 2025-08-14T22:07:30.4937451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4937521Z x = block(x) 2025-08-14T22:07:30.4937713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4937849Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4938050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T22:07:30.4938201Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T22:07:30.4938222Z 2025-08-14T22:07:30.4938340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4938557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4938626Z return mod(*inputs) 2025-08-14T22:07:30.4938831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4938908Z x = self.forward_features(x) 2025-08-14T22:07:30.4939143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4939216Z x = self.forward_cls(x) 2025-08-14T22:07:30.4939429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4939498Z x = block(x) 2025-08-14T22:07:30.4939703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4939831Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4940106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T22:07:30.4940273Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T22:07:30.4940277Z 2025-08-14T22:07:30.4940388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4940596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4940663Z return mod(*inputs) 2025-08-14T22:07:30.4940863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4940934Z x = self.forward_features(x) 2025-08-14T22:07:30.4941154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4941235Z x = self.forward_cls(x) 2025-08-14T22:07:30.4941440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4941509Z x = block(x) 2025-08-14T22:07:30.4941698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4941822Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4942040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-14T22:07:30.4942123Z cls_embed = self.proj(cls_embed) 2025-08-14T22:07:30.4942127Z 2025-08-14T22:07:30.4942241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4942445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4942513Z return mod(*inputs) 2025-08-14T22:07:30.4942737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4942811Z x = self.forward_features(x) 2025-08-14T22:07:30.4943033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4943114Z x = self.forward_cls(x) 2025-08-14T22:07:30.4943321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4943389Z x = block(x) 2025-08-14T22:07:30.4943582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4943724Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4943921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4943984Z x = self.fc1(x) 2025-08-14T22:07:30.4943987Z 2025-08-14T22:07:30.4944090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4944305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4944397Z return mod(*inputs) 2025-08-14T22:07:30.4944594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4944666Z x = self.forward_features(x) 2025-08-14T22:07:30.4944890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4944965Z x = self.forward_cls(x) 2025-08-14T22:07:30.4945169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4945230Z x = block(x) 2025-08-14T22:07:30.4945428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4945568Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4945769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4945834Z x = self.act(x) 2025-08-14T22:07:30.4945883Z 2025-08-14T22:07:30.4945988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4946202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4946267Z return mod(*inputs) 2025-08-14T22:07:30.4946459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4946539Z x = self.forward_features(x) 2025-08-14T22:07:30.4946759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4946837Z x = self.forward_cls(x) 2025-08-14T22:07:30.4947040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4947099Z x = block(x) 2025-08-14T22:07:30.4947298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4947437Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4947624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4947696Z x = self.fc2(x) 2025-08-14T22:07:30.4947699Z 2025-08-14T22:07:30.4947818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4948031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4948099Z return mod(*inputs) 2025-08-14T22:07:30.4948291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4948377Z x = self.forward_features(x) 2025-08-14T22:07:30.4948602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4948691Z x = self.forward_cls(x) 2025-08-14T22:07:30.4948902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4948964Z x = block(x) 2025-08-14T22:07:30.4949159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4949294Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4949297Z 2025-08-14T22:07:30.4949383Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4949495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4949708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4949778Z return mod(*inputs) 2025-08-14T22:07:30.4949959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4950028Z x = self.forward_features(x) 2025-08-14T22:07:30.4950245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4950331Z x = self.forward_cls(x) 2025-08-14T22:07:30.4950531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4950598Z x = block(x) 2025-08-14T22:07:30.4950781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T22:07:30.4950882Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T22:07:30.4950886Z 2025-08-14T22:07:30.4950986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4951181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4951252Z return mod(*inputs) 2025-08-14T22:07:30.4951437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4951508Z x = self.forward_features(x) 2025-08-14T22:07:30.4951728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4951810Z x = self.forward_cls(x) 2025-08-14T22:07:30.4952013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4952071Z x = block(x) 2025-08-14T22:07:30.4952251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4952377Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4952557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T22:07:30.4952702Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T22:07:30.4952714Z 2025-08-14T22:07:30.4952815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4953019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4953091Z return mod(*inputs) 2025-08-14T22:07:30.4953268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4953334Z x = self.forward_features(x) 2025-08-14T22:07:30.4953561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4953628Z x = self.forward_cls(x) 2025-08-14T22:07:30.4953816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4953881Z x = block(x) 2025-08-14T22:07:30.4954055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4954178Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4954375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T22:07:30.4954511Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T22:07:30.4954516Z 2025-08-14T22:07:30.4954623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4954814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4954884Z return mod(*inputs) 2025-08-14T22:07:30.4955063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4955131Z x = self.forward_features(x) 2025-08-14T22:07:30.4955346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4955412Z x = self.forward_cls(x) 2025-08-14T22:07:30.4955606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4955676Z x = block(x) 2025-08-14T22:07:30.4955855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4955998Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4956178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T22:07:30.4956327Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T22:07:30.4956330Z 2025-08-14T22:07:30.4956438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4956634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4956704Z return mod(*inputs) 2025-08-14T22:07:30.4956885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4956953Z x = self.forward_features(x) 2025-08-14T22:07:30.4957172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4957240Z x = self.forward_cls(x) 2025-08-14T22:07:30.4957451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4957518Z x = block(x) 2025-08-14T22:07:30.4957695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T22:07:30.4957820Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T22:07:30.4957999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-14T22:07:30.4958077Z cls_embed = self.proj(cls_embed) 2025-08-14T22:07:30.4958081Z 2025-08-14T22:07:30.4958192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4958398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4958465Z return mod(*inputs) 2025-08-14T22:07:30.4958669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4958737Z x = self.forward_features(x) 2025-08-14T22:07:30.4958948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4959014Z x = self.forward_cls(x) 2025-08-14T22:07:30.4959218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4959283Z x = block(x) 2025-08-14T22:07:30.4959462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4959591Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4959777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T22:07:30.4959837Z x = self.fc1(x) 2025-08-14T22:07:30.4959858Z 2025-08-14T22:07:30.4959968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4960169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4960236Z return mod(*inputs) 2025-08-14T22:07:30.4960434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4960503Z x = self.forward_features(x) 2025-08-14T22:07:30.4960710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4960786Z x = self.forward_cls(x) 2025-08-14T22:07:30.4960976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4961044Z x = block(x) 2025-08-14T22:07:30.4961220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4961350Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4961547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T22:07:30.4961608Z x = self.act(x) 2025-08-14T22:07:30.4961611Z 2025-08-14T22:07:30.4961710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4961925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4961992Z return mod(*inputs) 2025-08-14T22:07:30.4962188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4962259Z x = self.forward_features(x) 2025-08-14T22:07:30.4962480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4962558Z x = self.forward_cls(x) 2025-08-14T22:07:30.4962767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4962829Z x = block(x) 2025-08-14T22:07:30.4963026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4963183Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4963379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T22:07:30.4963446Z x = self.fc2(x) 2025-08-14T22:07:30.4963449Z 2025-08-14T22:07:30.4963562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4963760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4963821Z return mod(*inputs) 2025-08-14T22:07:30.4964003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4964070Z x = self.forward_features(x) 2025-08-14T22:07:30.4964275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4964350Z x = self.forward_cls(x) 2025-08-14T22:07:30.4964539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4964596Z x = block(x) 2025-08-14T22:07:30.4964778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T22:07:30.4964930Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T22:07:30.4964934Z 2025-08-14T22:07:30.4965023Z cudagraph partition due to non gpu ops 2025-08-14T22:07:30.4965124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4965316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4965387Z return mod(*inputs) 2025-08-14T22:07:30.4965588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T22:07:30.4965666Z x = self.forward_features(x) 2025-08-14T22:07:30.4965884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T22:07:30.4965955Z x = self.forward_cls(x) 2025-08-14T22:07:30.4966156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T22:07:30.4966216Z x = block(x) 2025-08-14T22:07:30.4966396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T22:07:30.4966495Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T22:07:30.4966499Z 2025-08-14T22:07:30.4966599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4966799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4966873Z return mod(*inputs) 2025-08-14T22:07:30.4967060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T22:07:30.4967156Z x = self.forward_head(x) 2025-08-14T22:07:30.4967357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T22:07:30.4967430Z aux = self.aux_head(x[:, 1:]) 2025-08-14T22:07:30.4967434Z 2025-08-14T22:07:30.4967541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4967737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4967801Z return mod(*inputs) 2025-08-14T22:07:30.4967989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T22:07:30.4968060Z x = self.forward_head(x) 2025-08-14T22:07:30.4968278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T22:07:30.4968357Z aux = self.aux_head(x[:, 1:]) 2025-08-14T22:07:30.4968361Z 2025-08-14T22:07:30.4968464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4968697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4968765Z return mod(*inputs) 2025-08-14T22:07:30.4968965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T22:07:30.4969038Z x = self.forward_head(x) 2025-08-14T22:07:30.4969248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T22:07:30.4969334Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T22:07:30.4969338Z 2025-08-14T22:07:30.4969440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4969645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4969720Z return mod(*inputs) 2025-08-14T22:07:30.4969914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T22:07:30.4969993Z x = self.forward_head(x) 2025-08-14T22:07:30.4970206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-08-14T22:07:30.4970275Z out = self.head(out) 2025-08-14T22:07:30.4970279Z 2025-08-14T22:07:30.4970388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T22:07:30.4970659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T22:07:30.4970724Z return mod(*inputs) 2025-08-14T22:07:30.4970917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T22:07:30.4970982Z x = self.forward_head(x) 2025-08-14T22:07:30.4971185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T22:07:30.4971275Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T22:07:30.4971279Z 2025-08-14T22:07:43.5730153Z Compilation time (from dynamo_timed): 46.529172101 2025-08-14T22:07:43.5730502Z pass 2025-08-14T22:07:43.5735086Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T22:07:43.5736047Z TIMING: _recursive_pre_grad_passes:0.00957 _recursive_joint_graph_passes:0.76048 _recursive_post_grad_passes:0.31015 async_compile.wait:0.77826 code_gen:12.73135 inductor_compile:19.50389 backend_compile:36.78308 gc:0.00077 entire_frame_compile:46.52917 total_wall_time:46.52917 2025-08-14T22:07:43.5737329Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:19627 | attempt fast:160 | fast is_contiguous:144 | FakeTensor.__torch_dispatch__:8116 | slow no contiguity match:16 | ProxyTorchDispatchMode.__torch_dispatch__:6924 2025-08-14T22:07:43.5738035Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-08-14T22:07:52.3695871Z 2025-08-14T22:07:53.9164897Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:07:53.9165125Z 2025-08-14T22:07:54.0344413Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-14T22:10:03.8415345Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:10:03.8424241Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:03.8424535Z env: 2025-08-14T22:10:03.8424730Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:03.8425073Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:03.8425440Z ##[endgroup] 2025-08-14T22:10:03.8454997Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:10:04.0417654Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:10:04.8668858Z Collecting boto3==1.35.33 2025-08-14T22:10:04.8815540Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:10:05.1217444Z Collecting psutil==7.0.0 2025-08-14T22:10:05.1257787Z 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) 2025-08-14T22:10:05.1510886Z Collecting pynvml==12.0.0 2025-08-14T22:10:05.1545589Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:10:05.1627676Z 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) 2025-08-14T22:10:06.0561141Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:10:06.0598659Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:10:06.1843069Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:10:06.1874163Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:10:06.2258722Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:10:06.2294130Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:10:06.2372033Z 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) 2025-08-14T22:10:06.2379483Z 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) 2025-08-14T22:10:06.3546670Z 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) 2025-08-14T22:10:06.4685305Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T22:10:06.8375558Z Attempting uninstall: nvidia-ml-py 2025-08-14T22:10:06.8376725Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T22:10:06.8385702Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T22:10:06.8522322Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T22:10:06.9048000Z Attempting uninstall: psutil 2025-08-14T22:10:06.9049341Z Found existing installation: psutil 5.9.8 2025-08-14T22:10:06.9099386Z Uninstalling psutil-5.9.8: 2025-08-14T22:10:06.9105045Z Successfully uninstalled psutil-5.9.8 2025-08-14T22:10:07.0550443Z 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 2025-08-14T22:10:07.1729903Z + DEVICE_NAME= 2025-08-14T22:10:07.1730421Z + DEVICE_TYPE= 2025-08-14T22:10:07.1730709Z + command -v nvidia-smi 2025-08-14T22:10:07.1730987Z + command -v rocminfo 2025-08-14T22:10:07.1731186Z + echo DEVICE_NAME= 2025-08-14T22:10:07.1731363Z + echo DEVICE_TYPE= 2025-08-14T22:10:07.1748168Z ##[group]Run set -eux 2025-08-14T22:10:07.1748379Z set -eux 2025-08-14T22:10:07.1748541Z  2025-08-14T22:10:07.1748715Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:10:07.1748963Z  echo "Missing github-token input" 2025-08-14T22:10:07.1749182Z  exit 1 2025-08-14T22:10:07.1749352Z fi 2025-08-14T22:10:07.1755118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:07.1755384Z env: 2025-08-14T22:10:07.1755561Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:07.1755875Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:07.1756215Z DEVICE_NAME: 2025-08-14T22:10:07.1756583Z DEVICE_TYPE: 2025-08-14T22:10:07.1756974Z GITHUB_TOKEN: *** 2025-08-14T22:10:07.1757141Z ##[endgroup] 2025-08-14T22:10:07.1779729Z + [[ -z *** ]] 2025-08-14T22:10:07.1816911Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:10:07.1817262Z with: 2025-08-14T22:10:07.1817605Z github-token: *** 2025-08-14T22:10:07.1817809Z env: 2025-08-14T22:10:07.1817992Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:07.1818382Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:07.1818785Z DEVICE_NAME: 2025-08-14T22:10:07.1818977Z DEVICE_TYPE: 2025-08-14T22:10:07.1819188Z ##[endgroup] 2025-08-14T22:10:07.1831350Z ##[group]Run set -eux 2025-08-14T22:10:07.1831586Z set -eux 2025-08-14T22:10:07.1831781Z  2025-08-14T22:10:07.1832157Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:10:07.1837355Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:07.1837659Z env: 2025-08-14T22:10:07.1837855Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:07.1838231Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:07.1838624Z DEVICE_NAME: 2025-08-14T22:10:07.1838820Z DEVICE_TYPE: 2025-08-14T22:10:07.1839161Z GITHUB_TOKEN: *** 2025-08-14T22:10:07.1839367Z ##[endgroup] 2025-08-14T22:10:07.1861755Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0119168a8260cce03 2025-08-14T22:10:08.4553326Z setting job-id=48128301889 2025-08-14T22:10:08.4559836Z setting job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T22:10:08.4649678Z ##[group]Run set -eux 2025-08-14T22:10:08.4649894Z set -eux 2025-08-14T22:10:08.4650063Z  2025-08-14T22:10:08.4650359Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:10:08.4650718Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:10:08.4650949Z  --repo "${REPO}" \ 2025-08-14T22:10:08.4651155Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:10:08.4651370Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:10:08.4651594Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:10:08.4651826Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:10:08.4652040Z  --job-id "${JOB_ID}" \ 2025-08-14T22:10:08.4652249Z  --job-name "${JOB_NAME}" 2025-08-14T22:10:08.4657009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:08.4657265Z env: 2025-08-14T22:10:08.4657432Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:08.4657765Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:08.4658111Z DEVICE_NAME: 2025-08-14T22:10:08.4658287Z DEVICE_TYPE: 2025-08-14T22:10:08.4658460Z SCHEMA_VERSION: v3 2025-08-14T22:10:08.4658649Z REPO: pytorch/pytorch 2025-08-14T22:10:08.4658838Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:10:08.4659073Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:10:08.4659314Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T22:10:08.4659505Z RUN_ATTEMPT: 1 2025-08-14T22:10:08.4659671Z JOB_ID: 48128301889 2025-08-14T22:10:08.4660521Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T22:10:08.4661004Z ##[endgroup] 2025-08-14T22:10:08.4689459Z + 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 48128301889 --job-name 'linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)' 2025-08-14T22:10:08.4971984Z ##[group]Run set -eux 2025-08-14T22:10:08.4972202Z set -eux 2025-08-14T22:10:08.4972368Z  2025-08-14T22:10:08.4972644Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:10:08.4977561Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:08.4977830Z env: 2025-08-14T22:10:08.4977995Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:08.4978347Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:08.4978691Z DEVICE_NAME: 2025-08-14T22:10:08.4978863Z DEVICE_TYPE: 2025-08-14T22:10:08.4979031Z ##[endgroup] 2025-08-14T22:10:08.5003844Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:10:08.5358258Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:10:08.5466677Z ##[group]Run set -eux 2025-08-14T22:10:08.5466896Z set -eux 2025-08-14T22:10:08.5467061Z  2025-08-14T22:10:08.5467238Z # TODO (huydhn): Implement this part 2025-08-14T22:10:08.5467500Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:10:08.5472186Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:08.5472432Z env: 2025-08-14T22:10:08.5472603Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:08.5472919Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:08.5473392Z DEVICE_NAME: 2025-08-14T22:10:08.5473555Z DEVICE_TYPE: 2025-08-14T22:10:08.5473722Z ##[endgroup] 2025-08-14T22:10:08.5514424Z + echo 'dependencies={}' 2025-08-14T22:10:08.5531296Z ##[group]Run set -eux 2025-08-14T22:10:08.5531520Z set -eux 2025-08-14T22:10:08.5531692Z  2025-08-14T22:10:08.5531922Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:10:08.5532216Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:10:08.5532543Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:10:08.5532803Z  exit 0 2025-08-14T22:10:08.5532956Z fi 2025-08-14T22:10:08.5533111Z  2025-08-14T22:10:08.5533288Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:10:08.5533612Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:10:08.5533997Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:10:08.5534336Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:10:08.5534578Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:10:08.5534812Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:10:08.5535050Z  --dry-run 2025-08-14T22:10:08.5535232Z else 2025-08-14T22:10:08.5535498Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:10:08.5535866Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:10:08.5536156Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:10:08.5536402Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:10:08.5536637Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:10:08.5536860Z fi 2025-08-14T22:10:08.5544079Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:08.5544339Z env: 2025-08-14T22:10:08.5544512Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:08.5544856Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:08.5545202Z DEVICE_NAME: 2025-08-14T22:10:08.5545369Z DEVICE_TYPE: 2025-08-14T22:10:08.5545564Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:10:08.5545789Z DRY_RUN: false 2025-08-14T22:10:08.5546865Z BENCHMARK_METADATA: {"timestamp": 1755209408, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_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": 48128301889} 2025-08-14T22:10:08.5548061Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-41-45.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T22:10:08.5548479Z DEPENDENCIES: {} 2025-08-14T22:10:08.5548660Z ##[endgroup] 2025-08-14T22:10:08.5569618Z + [[ ! -d test/test-reports ]] 2025-08-14T22:10:08.5569878Z + [[ false == \t\r\u\e ]] 2025-08-14T22:10:08.5571785Z + 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": 1755209408, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_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": 48128301889}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-41-45.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T22:10:08.6815934Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128301889/inference_timm_models.json 2025-08-14T22:10:08.7109259Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T22:10:08.9382050Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:10:08.9382368Z cat test/**/*_toprint.log || true 2025-08-14T22:10:08.9387247Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:08.9387509Z env: 2025-08-14T22:10:08.9387680Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:08.9387995Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:08.9388329Z DEVICE_NAME: 2025-08-14T22:10:08.9388498Z DEVICE_TYPE: 2025-08-14T22:10:08.9388719Z ##[endgroup] 2025-08-14T22:10:08.9469237Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:10:08.9489584Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:10:08.9489833Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:10:08.9494109Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:08.9494361Z env: 2025-08-14T22:10:08.9494531Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:08.9494847Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:08.9495204Z DEVICE_NAME: 2025-08-14T22:10:08.9495389Z DEVICE_TYPE: 2025-08-14T22:10:08.9495578Z MONITOR_SCRIPT_PID: 48167 2025-08-14T22:10:08.9495760Z ##[endgroup] 2025-08-14T22:10:08.9597115Z Prepare all required actions 2025-08-14T22:10:08.9597486Z Getting action download info 2025-08-14T22:10:09.1006195Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:10:09.3214235Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:10:09.6896911Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:10:09.6897186Z with: 2025-08-14T22:10:09.6897473Z file-suffix: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T22:10:09.6897801Z s3-bucket: gha-artifacts 2025-08-14T22:10:09.6898005Z env: 2025-08-14T22:10:09.6898179Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:09.6898512Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:09.6898862Z DEVICE_NAME: 2025-08-14T22:10:09.6899161Z DEVICE_TYPE: 2025-08-14T22:10:09.6899327Z ##[endgroup] 2025-08-14T22:10:09.6917327Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T22:10:09.6917684Z # Remove any previous test jsons if they exist 2025-08-14T22:10:09.6917955Z rm -f test-jsons-*.zip 2025-08-14T22:10:09.6918267Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T22:10:09.6923196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:09.6923459Z env: 2025-08-14T22:10:09.6923638Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:09.6923980Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:09.6924328Z DEVICE_NAME: 2025-08-14T22:10:09.6924501Z DEVICE_TYPE: 2025-08-14T22:10:09.6924776Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T22:10:09.6925080Z ##[endgroup] 2025-08-14T22:10:09.7113537Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T22:10:09.7135430Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T22:10:09.7135771Z # Remove any previous test reports if they exist 2025-08-14T22:10:09.7136039Z rm -f test-reports-*.zip 2025-08-14T22:10:09.7136365Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T22:10:09.7141369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:09.7141632Z env: 2025-08-14T22:10:09.7141807Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:09.7142151Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:09.7142503Z DEVICE_NAME: 2025-08-14T22:10:09.7142674Z DEVICE_TYPE: 2025-08-14T22:10:09.7142947Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T22:10:09.7143256Z ##[endgroup] 2025-08-14T22:10:09.7195649Z adding: test/test-reports/inference_timm_models.csv (deflated 61%) 2025-08-14T22:10:09.7213495Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T22:10:09.7213821Z # Remove any previous usage logs if they exist 2025-08-14T22:10:09.7214078Z rm -f logs-*.zip 2025-08-14T22:10:09.7214317Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T22:10:09.7214653Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T22:10:09.7218986Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:09.7219239Z env: 2025-08-14T22:10:09.7219400Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:09.7219725Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:09.7220082Z DEVICE_NAME: 2025-08-14T22:10:09.7220543Z DEVICE_TYPE: 2025-08-14T22:10:09.7220816Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T22:10:09.7221120Z ##[endgroup] 2025-08-14T22:10:09.7291989Z adding: usage_log.txt (deflated 97%) 2025-08-14T22:10:09.7302586Z 2025-08-14T22:10:09.7303207Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip) 2025-08-14T22:10:09.7320149Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T22:10:09.7320529Z # Remove any previous debugging artifacts if they exist 2025-08-14T22:10:09.7320811Z rm -f debug-*.zip 2025-08-14T22:10:09.7321013Z if [ -d 'test/debug' ]; then 2025-08-14T22:10:09.7321263Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T22:10:09.7321491Z fi 2025-08-14T22:10:09.7325559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:09.7325801Z env: 2025-08-14T22:10:09.7325966Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:09.7326281Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:09.7326612Z DEVICE_NAME: 2025-08-14T22:10:09.7326779Z DEVICE_TYPE: 2025-08-14T22:10:09.7327169Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889 2025-08-14T22:10:09.7327458Z ##[endgroup] 2025-08-14T22:10:09.7399026Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:10:09.7399275Z with: 2025-08-14T22:10:09.7399450Z s3-bucket: gha-artifacts 2025-08-14T22:10:09.7399687Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:09.7399935Z retention-days: 14 2025-08-14T22:10:09.7400131Z if-no-files-found: warn 2025-08-14T22:10:09.7400315Z path: test-jsons-*.zip 2025-08-14T22:10:09.7400494Z name: artifact 2025-08-14T22:10:09.7400663Z region: us-east-1 2025-08-14T22:10:09.7400825Z env: 2025-08-14T22:10:09.7400986Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:09.7401313Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:09.7401639Z DEVICE_NAME: 2025-08-14T22:10:09.7401811Z DEVICE_TYPE: 2025-08-14T22:10:09.7401977Z ##[endgroup] 2025-08-14T22:10:10.0212924Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:10:10.0213294Z With the provided path, there will be 1 file uploaded 2025-08-14T22:10:10.0213605Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:10.0247940Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:10.1408660Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:10.1554163Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:10:10.1554407Z with: 2025-08-14T22:10:10.1554588Z s3-bucket: gha-artifacts 2025-08-14T22:10:10.1554825Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:10.1555073Z retention-days: 14 2025-08-14T22:10:10.1555257Z if-no-files-found: error 2025-08-14T22:10:10.1555458Z path: test-reports-*.zip 2025-08-14T22:10:10.1555638Z name: artifact 2025-08-14T22:10:10.1555808Z region: us-east-1 2025-08-14T22:10:10.1555971Z env: 2025-08-14T22:10:10.1556143Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:10.1556479Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:10.1556814Z DEVICE_NAME: 2025-08-14T22:10:10.1556985Z DEVICE_TYPE: 2025-08-14T22:10:10.1557149Z ##[endgroup] 2025-08-14T22:10:10.4200743Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:10:10.4201109Z With the provided path, there will be 1 file uploaded 2025-08-14T22:10:10.4201767Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:10.4235272Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:10.5554663Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:10.5704354Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:10:10.5704617Z with: 2025-08-14T22:10:10.5704803Z s3-bucket: gha-artifacts 2025-08-14T22:10:10.5705043Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:10.5705319Z retention-days: 14 2025-08-14T22:10:10.5705650Z if-no-files-found: ignore 2025-08-14T22:10:10.5705851Z path: logs-*.zip 2025-08-14T22:10:10.5706027Z name: artifact 2025-08-14T22:10:10.5706203Z region: us-east-1 2025-08-14T22:10:10.5706372Z env: 2025-08-14T22:10:10.5706542Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:10.5706875Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:10.5707219Z DEVICE_NAME: 2025-08-14T22:10:10.5707401Z DEVICE_TYPE: 2025-08-14T22:10:10.5707574Z ##[endgroup] 2025-08-14T22:10:10.8390840Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:10:10.8391179Z With the provided path, there will be 1 file uploaded 2025-08-14T22:10:10.8391492Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:10.8422813Z Starting upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:10.9545870Z Finished upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:10.9684418Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:10:10.9684668Z with: 2025-08-14T22:10:10.9684836Z s3-bucket: gha-artifacts 2025-08-14T22:10:10.9685077Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:10:10.9685329Z retention-days: 14 2025-08-14T22:10:10.9685515Z if-no-files-found: ignore 2025-08-14T22:10:10.9685715Z path: debug-*.zip 2025-08-14T22:10:10.9685890Z name: artifact 2025-08-14T22:10:10.9686055Z region: us-east-1 2025-08-14T22:10:10.9686227Z env: 2025-08-14T22:10:10.9686390Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:10.9686715Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:10.9687065Z DEVICE_NAME: 2025-08-14T22:10:10.9687241Z DEVICE_TYPE: 2025-08-14T22:10:10.9687404Z ##[endgroup] 2025-08-14T22:10:11.2294897Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T22:10:11.2461866Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:10:11.2462247Z # shellcheck disable=SC2156 2025-08-14T22:10:11.2462624Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:10:11.2467413Z shell: /usr/bin/bash -e {0} 2025-08-14T22:10:11.2467598Z env: 2025-08-14T22:10:11.2467761Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:11.2468060Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:11.2468375Z DEVICE_NAME: 2025-08-14T22:10:11.2468535Z DEVICE_TYPE: 2025-08-14T22:10:11.2468683Z ##[endgroup] 2025-08-14T22:10:11.4297087Z Prepare all required actions 2025-08-14T22:10:11.4297456Z Getting action download info 2025-08-14T22:10:11.5723731Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T22:10:11.5724030Z with: 2025-08-14T22:10:11.5724221Z job_id: 48128301889 2025-08-14T22:10:11.5724723Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T22:10:11.5725239Z workflow_name: inductor-periodic 2025-08-14T22:10:11.5725497Z workflow_run_id: 16976338999 2025-08-14T22:10:11.5725716Z workflow_attempt: 1 2025-08-14T22:10:11.5725893Z env: 2025-08-14T22:10:11.5726070Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:11.5726430Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:11.5726820Z DEVICE_NAME: 2025-08-14T22:10:11.5727010Z DEVICE_TYPE: 2025-08-14T22:10:11.5727205Z ##[endgroup] 2025-08-14T22:10:11.5742257Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T22:10:11.5742521Z echo "workflow_id: 16976338999" 2025-08-14T22:10:11.5742756Z echo "workflow_attempt: 1" 2025-08-14T22:10:11.5743003Z echo "workflow_Name: inductor-periodic" 2025-08-14T22:10:11.5743248Z echo "job_id: 48128301889" 2025-08-14T22:10:11.5743721Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" 2025-08-14T22:10:11.5744199Z echo "artifact_prefix: " 2025-08-14T22:10:11.5744430Z python3 --version 2025-08-14T22:10:11.5748990Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:11.5749242Z env: 2025-08-14T22:10:11.5749410Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:11.5749722Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:11.5750034Z DEVICE_NAME: 2025-08-14T22:10:11.5750199Z DEVICE_TYPE: 2025-08-14T22:10:11.5750363Z ##[endgroup] 2025-08-14T22:10:11.5772334Z workflow_id: 16976338999 2025-08-14T22:10:11.5772568Z workflow_attempt: 1 2025-08-14T22:10:11.5772766Z workflow_Name: inductor-periodic 2025-08-14T22:10:11.5772957Z job_id: 48128301889 2025-08-14T22:10:11.5773354Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T22:10:11.5773982Z artifact_prefix: 2025-08-14T22:10:11.5787196Z Python 3.9.23 2025-08-14T22:10:11.5818929Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T22:10:11.5819161Z with: 2025-08-14T22:10:11.5819329Z shell: bash 2025-08-14T22:10:11.5819501Z timeout_minutes: 5 2025-08-14T22:10:11.5819677Z max_attempts: 5 2025-08-14T22:10:11.5819863Z retry_wait_seconds: 30 2025-08-14T22:10:11.5820699Z 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 2025-08-14T22:10:11.5821118Z polling_interval_seconds: 1 2025-08-14T22:10:11.5821332Z warning_on_retry: true 2025-08-14T22:10:11.5821539Z continue_on_error: false 2025-08-14T22:10:11.5821733Z env: 2025-08-14T22:10:11.5821888Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:11.5822214Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:11.5822552Z DEVICE_NAME: 2025-08-14T22:10:11.5822722Z DEVICE_TYPE: 2025-08-14T22:10:11.5822891Z ##[endgroup] 2025-08-14T22:10:11.8621214Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:10:11.9241058Z Collecting python-dateutil==2.8.2 2025-08-14T22:10:11.9426836Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T22:10:12.6732746Z Collecting boto3==1.35.42 2025-08-14T22:10:12.6773592Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T22:10:13.0591572Z Collecting pandas==2.1.3 2025-08-14T22:10:13.0622115Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T22:10:13.1526852Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T22:10:13.1538348Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T22:10:13.1574635Z 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) 2025-08-14T22:10:13.1576917Z 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) 2025-08-14T22:10:13.1579909Z 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) 2025-08-14T22:10:13.2298738Z Collecting tzdata>=2022.1 2025-08-14T22:10:13.2341281Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T22:10:13.2431945Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T22:10:13.8736698Z Collecting numpy<2,>=1.22.4 2025-08-14T22:10:13.8772256Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T22:10:14.0156153Z 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) 2025-08-14T22:10:14.0158391Z 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) 2025-08-14T22:10:14.0214022Z 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) 2025-08-14T22:10:14.0289278Z 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) 2025-08-14T22:10:14.0371670Z 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) 2025-08-14T22:10:14.0376407Z 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) 2025-08-14T22:10:14.1615700Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T22:10:18.4377456Z Attempting uninstall: boto3 2025-08-14T22:10:18.4377924Z Found existing installation: boto3 1.35.33 2025-08-14T22:10:18.4452696Z Uninstalling boto3-1.35.33: 2025-08-14T22:10:18.4459697Z Successfully uninstalled boto3-1.35.33 2025-08-14T22:10:18.4916714Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T22:10:18.6572210Z Command completed after 1 attempt(s). 2025-08-14T22:10:18.6619649Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:10:18.6620522Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:10:18.6620890Z  --workflow-run-id "16976338999" \ 2025-08-14T22:10:18.6621156Z  --workflow-name "inductor-periodic" \ 2025-08-14T22:10:18.6621426Z  --workflow-run-attempt "1" \ 2025-08-14T22:10:18.6623071Z  --job-id "48128301889" \ 2025-08-14T22:10:18.6623670Z  --job-name "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" \ 2025-08-14T22:10:18.6624209Z  --local-path "" \ 2025-08-14T22:10:18.6624434Z  --artifact-prefix "" 2025-08-14T22:10:18.6629421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:18.6629681Z env: 2025-08-14T22:10:18.6629855Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:18.6630396Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:18.6630740Z DEVICE_NAME: 2025-08-14T22:10:18.6630909Z DEVICE_TYPE: 2025-08-14T22:10:18.6631293Z ##[endgroup] 2025-08-14T22:10:19.6150581Z repo: pytorch/pytorch 2025-08-14T22:10:19.6150936Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T22:10:19.6151380Z Downloading logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:19.6151986Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301889.zip 2025-08-14T22:10:19.6152447Z Converted Log Model: UtilizationMetadata: 2025-08-14T22:10:19.6153463Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128301889', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207382, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T22:10:19.6154480Z [Db Segments] detected pytest cmd: 8, generated segments: 8 2025-08-14T22:10:19.6154773Z [db model] Peek db timeseries 2025-08-14T22:10:19.6154972Z :{ 2025-08-14T22:10:19.6155124Z "created_at": 1755209419, 2025-08-14T22:10:19.6155324Z "type": "utilization", 2025-08-14T22:10:19.6155506Z "tags": [ 2025-08-14T22:10:19.6155656Z "record" 2025-08-14T22:10:19.6155822Z ], 2025-08-14T22:10:19.6155992Z "time_stamp": 1755207382, 2025-08-14T22:10:19.6156184Z "repo": "pytorch/pytorch", 2025-08-14T22:10:19.6156385Z "workflow_id": 16976338999, 2025-08-14T22:10:19.6156586Z "run_attempt": 1, 2025-08-14T22:10:19.6156757Z "job_id": 48128301889, 2025-08-14T22:10:19.6156946Z "workflow_name": "inductor-periodic", 2025-08-14T22:10:19.6157413Z "job_name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", 2025-08-14T22:10:19.6157840Z "json_data": "{}" 2025-08-14T22:10:19.6158000Z } 2025-08-14T22:10:19.6158341Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301889/metadata 2025-08-14T22:10:19.6158913Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301889/metadata 2025-08-14T22:10:19.6159491Z Writing 403 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301889/time_series 2025-08-14T22:10:19.6160565Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301889/time_series 2025-08-14T22:10:19.7203396Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T22:10:19.7203760Z with: 2025-08-14T22:10:19.7203940Z env: 2025-08-14T22:10:19.7204119Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:19.7204514Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:19.7204915Z DEVICE_NAME: 2025-08-14T22:10:19.7205104Z DEVICE_TYPE: 2025-08-14T22:10:19.7205298Z ##[endgroup] 2025-08-14T22:10:19.7218015Z ##[group]Run set -eou pipefail 2025-08-14T22:10:19.7218299Z set -eou pipefail 2025-08-14T22:10:19.7218527Z  2025-08-14T22:10:19.7218874Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T22:10:19.7219250Z for _ in $(seq 1440); do 2025-08-14T22:10:19.7219547Z  # Break if no ssh session exists anymore 2025-08-14T22:10:19.7219834Z  if [ "$(who)" = "" ]; then 2025-08-14T22:10:19.7220080Z  break 2025-08-14T22:10:19.7220557Z  fi 2025-08-14T22:10:19.7220762Z  echo "." 2025-08-14T22:10:19.7220975Z  sleep 5 2025-08-14T22:10:19.7221174Z done 2025-08-14T22:10:19.7227225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:19.7227545Z env: 2025-08-14T22:10:19.7227752Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:19.7228151Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:19.7228570Z DEVICE_NAME: 2025-08-14T22:10:19.7228775Z DEVICE_TYPE: 2025-08-14T22:10:19.7228968Z ##[endgroup] 2025-08-14T22:10:19.7252385Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T22:10:19.7321019Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:10:19.7321464Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:10:19.7321755Z # shellcheck disable=SC2046 2025-08-14T22:10:19.7322005Z docker stop $(docker ps -q) || true 2025-08-14T22:10:19.7322245Z # Prune all of the docker images 2025-08-14T22:10:19.7322479Z docker system prune -af 2025-08-14T22:10:19.7326981Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:19.7327232Z env: 2025-08-14T22:10:19.7327403Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:10:19.7327721Z DOCKER_CONTAINER_ID: 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:19.7328050Z DEVICE_NAME: 2025-08-14T22:10:19.7328219Z DEVICE_TYPE: 2025-08-14T22:10:19.7328386Z ##[endgroup] 2025-08-14T22:10:30.6460550Z 34ddddeacf46 2025-08-14T22:10:31.1743742Z Deleted Containers: 2025-08-14T22:10:31.1746275Z 34ddddeacf46b5014fc20147271de26fcb976e667b05a9bb74f44caa44acd6f0 2025-08-14T22:10:31.1746625Z 2025-08-14T22:10:38.5692970Z Deleted Images: 2025-08-14T22:10:38.5693768Z 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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2025-08-14T22:10:38.6729603Z git version 2.47.1 2025-08-14T22:10:38.6769795Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/0a1d87c5-0800-43da-9da0-4503a7c7ab30/.gitconfig' 2025-08-14T22:10:38.6789833Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/0a1d87c5-0800-43da-9da0-4503a7c7ab30' before making global git config changes 2025-08-14T22:10:38.6790686Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:10:38.6795822Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T22:10:38.6840194Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:10:38.6881934Z [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' || :" 2025-08-14T22:10:38.7206178Z Entering 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'third_party/gloo' 2025-08-14T22:10:38.8952404Z Entering 'third_party/googletest' 2025-08-14T22:10:38.9011144Z Entering 'third_party/ideep' 2025-08-14T22:10:38.9069938Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:10:38.9130440Z Entering 'third_party/ittapi' 2025-08-14T22:10:38.9193072Z Entering 'third_party/kineto' 2025-08-14T22:10:38.9245646Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:10:38.9307160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:10:38.9370718Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:10:38.9427021Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:10:38.9483192Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:10:38.9536841Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:10:38.9594696Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:10:38.9654295Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:10:38.9711250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:10:38.9768340Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:10:38.9824312Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:10:38.9881463Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:10:38.9939602Z Entering 'third_party/kleidiai' 2025-08-14T22:10:38.9997692Z Entering 'third_party/mimalloc' 2025-08-14T22:10:39.0057684Z Entering 'third_party/nlohmann' 2025-08-14T22:10:39.0113708Z Entering 'third_party/onnx' 2025-08-14T22:10:39.0190037Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:10:39.0251552Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:10:39.0306890Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:10:39.0365585Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:10:39.0418381Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:10:39.0472813Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:10:39.0525948Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:10:39.0578783Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:10:39.0633773Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:10:39.0687750Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:10:39.0748891Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:10:39.0804061Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:10:39.0881000Z Entering 'third_party/pocketfft' 2025-08-14T22:10:39.0936886Z Entering 'third_party/protobuf' 2025-08-14T22:10:39.0990999Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:10:39.1045797Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:10:39.1095493Z Entering 'third_party/psimd' 2025-08-14T22:10:39.1153708Z Entering 'third_party/pthreadpool' 2025-08-14T22:10:39.1212463Z Entering 'third_party/pybind11' 2025-08-14T22:10:39.1264283Z Entering 'third_party/python-peachpy' 2025-08-14T22:10:39.1319108Z Entering 'third_party/sleef' 2025-08-14T22:10:39.1376054Z Entering 'third_party/tensorpipe' 2025-08-14T22:10:39.1428321Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:10:39.1488061Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:10:39.1548460Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:10:39.1599938Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:10:39.1658040Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:10:39.1738446Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:10:39.1764779Z http.https://github.com/.extraheader 2025-08-14T22:10:39.1770836Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:10:39.1802027Z [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' || :" 2025-08-14T22:10:39.2117246Z Entering 'android/libs/fbjni' 2025-08-14T22:10:39.2156066Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2194859Z Entering 'third_party/FP16' 2025-08-14T22:10:39.2231767Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2268551Z Entering 'third_party/FXdiv' 2025-08-14T22:10:39.2306172Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2345175Z Entering 'third_party/NNPACK' 2025-08-14T22:10:39.2380041Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2419590Z Entering 'third_party/NVTX' 2025-08-14T22:10:39.2459573Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2498420Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:10:39.2538530Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2572491Z Entering 'third_party/XNNPACK' 2025-08-14T22:10:39.2608035Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2652978Z Entering 'third_party/aiter' 2025-08-14T22:10:39.2688313Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2722879Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:10:39.2761794Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2803794Z Entering 'third_party/benchmark' 2025-08-14T22:10:39.2840601Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2877324Z Entering 'third_party/composable_kernel' 2025-08-14T22:10:39.2914145Z http.https://github.com/.extraheader 2025-08-14T22:10:39.2957007Z Entering 'third_party/cpp-httplib' 2025-08-14T22:10:39.2998855Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3035105Z Entering 'third_party/cpuinfo' 2025-08-14T22:10:39.3072583Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3102416Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:10:39.3138427Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3185859Z Entering 'third_party/cutlass' 2025-08-14T22:10:39.3217504Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3257672Z Entering 'third_party/fbgemm' 2025-08-14T22:10:39.3295213Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3327055Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:10:39.3364950Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3400168Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:10:39.3437649Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3476762Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:10:39.3515579Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3550114Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:10:39.3590625Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3626661Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:10:39.3661533Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3699335Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:10:39.3736021Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3778817Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:10:39.3815610Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3854686Z Entering 'third_party/flash-attention' 2025-08-14T22:10:39.3891288Z http.https://github.com/.extraheader 2025-08-14T22:10:39.3925823Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:10:39.3965629Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4001886Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:10:39.4038886Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4079844Z Entering 'third_party/flatbuffers' 2025-08-14T22:10:39.4117324Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4159601Z Entering 'third_party/fmt' 2025-08-14T22:10:39.4193955Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4226400Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:10:39.4271307Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4301398Z Entering 'third_party/gloo' 2025-08-14T22:10:39.4336882Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4377145Z Entering 'third_party/googletest' 2025-08-14T22:10:39.4411673Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4446148Z Entering 'third_party/ideep' 2025-08-14T22:10:39.4486986Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4516024Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:10:39.4552980Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4593733Z Entering 'third_party/ittapi' 2025-08-14T22:10:39.4628513Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4669635Z Entering 'third_party/kineto' 2025-08-14T22:10:39.4702113Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4741789Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:10:39.4775982Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4810141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:10:39.4847715Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4892546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:10:39.4926195Z http.https://github.com/.extraheader 2025-08-14T22:10:39.4967647Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:10:39.4998050Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5029467Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:10:39.5070335Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5100627Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:10:39.5138296Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5177852Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:10:39.5213900Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5247960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:10:39.5283811Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5313762Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:10:39.5350346Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5385082Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:10:39.5425047Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5461210Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:10:39.5499528Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5534849Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:10:39.5570705Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5610624Z Entering 'third_party/kleidiai' 2025-08-14T22:10:39.5646063Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5692856Z Entering 'third_party/mimalloc' 2025-08-14T22:10:39.5731877Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5764347Z Entering 'third_party/nlohmann' 2025-08-14T22:10:39.5801992Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5842016Z Entering 'third_party/onnx' 2025-08-14T22:10:39.5877317Z http.https://github.com/.extraheader 2025-08-14T22:10:39.5926370Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:10:39.5964013Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6001163Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:10:39.6040602Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6080806Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:10:39.6113540Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6145269Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:10:39.6182019Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6217982Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:10:39.6257747Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6293100Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:10:39.6325568Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6360472Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:10:39.6397975Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6430474Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:10:39.6469236Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6505173Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:10:39.6539612Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6575712Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:10:39.6611196Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6646141Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:10:39.6683824Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6719664Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:10:39.6762706Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6811510Z Entering 'third_party/pocketfft' 2025-08-14T22:10:39.6847490Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6889896Z Entering 'third_party/protobuf' 2025-08-14T22:10:39.6924792Z http.https://github.com/.extraheader 2025-08-14T22:10:39.6968058Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:10:39.7002186Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7040797Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:10:39.7073943Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7116331Z Entering 'third_party/psimd' 2025-08-14T22:10:39.7157116Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7192861Z Entering 'third_party/pthreadpool' 2025-08-14T22:10:39.7227900Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7271937Z Entering 'third_party/pybind11' 2025-08-14T22:10:39.7307126Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7338821Z Entering 'third_party/python-peachpy' 2025-08-14T22:10:39.7374359Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7414557Z Entering 'third_party/sleef' 2025-08-14T22:10:39.7453904Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7490532Z Entering 'third_party/tensorpipe' 2025-08-14T22:10:39.7524552Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7563170Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:10:39.7598639Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7636455Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:10:39.7677738Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7710627Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:10:39.7753830Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7787554Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:10:39.7821196Z http.https://github.com/.extraheader 2025-08-14T22:10:39.7851337Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:10:39.7895595Z http.https://github.com/.extraheader 2025-08-14T22:10:39.8036775Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:10:39.8050456Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:10:39.8054060Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:10:39.8054322Z ##[endgroup] 2025-08-14T22:10:39.8150641Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T22:10:49.2044978Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T22:11:05.2774024Z Cleaning up orphan processes